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stringlengths 926
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stringlengths 45
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|---|---|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>68 years old@12:57:35</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>68 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\68 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old \ 68 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>67 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\67 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old \ 67 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>66 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\66 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old \ 66 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients who are 68, 67, or 6 years old within the age range of 65-74 years old for demographic analysis.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-34-Acute p@16:40:46</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients aged 18-34 years old with a diagnosis of acute pancreatitis.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 35-44-Acute p@16:41:09</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients aged 35-44 years old with a diagnosis of acute pancreatitis.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 45-54-Acute p@16:41:29</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients aged 45-54 years old with a diagnosis of acute pancreatitis.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 55-64 years o@14:30:29</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all patients who are between the ages of 5 and 64 years old, with any level of specificity, using the Demographics panel in the i2b2 query builder.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>mild -moder-nonde@16:07:38</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>mild dementia</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>moderate dementia</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\moderate dementia\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ moderate dementia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>nondemented</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\nondemented\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ MMSE score \ nondemented</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
```
|
I want to find patients with a mild or moderate dementia diagnosis or who are nondemented, using the Clinical Dementia Rating (CDR) and MMSE score criteria, at any time during their medical record history, with a high level of specificity.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 55-64-Acute p@16:41:51</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients aged 5-64 years old who have been diagnosed with acute pancreatitis.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18--Femal-Acute@16:42:27</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find female patients aged 18-34 years old with a diagnosis of acute pancreatitis.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-60-Acute p@20:00:48</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find encounters where the patient's age is between 18-64 years old and has been diagnosed with acute pancreatitis.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Gender@12:47:57</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Gender</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Gender</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
```
|
I want to find the gender of the patient at any time, with 1000% accuracy, and no specificity scale applied. The query will be displayed on panel 1, and the gender will be displayed using the ENC class with the icon FA. The query is named "Gender@12:47:57" and the key is "i2b2_DEMO\i2b2\Demographics\Gender\" with the tooltip "Demographic \ Gender". The invert option is set to false, meaning the query will return only the desired results without excluding any.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Female-Stroke@18:22:48</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Stroke</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Cerebrovascular disease (430-438)\(436) Acute, but ill-defined, cer~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Cerebrovascular disease \ Acute, but ill-defined, cerebrovascular disease</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
```
|
I want to find female patients with a diagnosis of acute, but ill-defined, cerebrovascular disease (stroke) within the i2b2 database.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-34 years o@20:02:33</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients between the ages of 18 and 64 years old who have been diagnosed with acute pancreatitis.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-60 years o@20:03:46</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients aged between 18 and 64 years old with a diagnosis of acute pancreatitis.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Livin- 18--Princ@20:12:23</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients who have been diagnosed with Acute Pancreatitis (ICD-9-CM code 5770) as a principal diagnosis, with demographic information including age ranges 18-34 years old, 35-44 years old, 45-54 years old, and 55-64 years old, and specific ages 5, 6, 7, 8, 9, 10, 111, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 222, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 333, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18--Combi-HMG-C@20:17:23</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 75-84 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 75-84 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 85 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 85 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Combined hyperlipidemia nos</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.2) Mixed~z0ea\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias
\ Combined hyperlipidemia nos</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Familial combined hyperlipidemia</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.4) Other~p8ow\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias
\ Familial combined hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia, group a</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.0) Pure h~vvif\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias
\ Hyperlipidemia, group a</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia, group b</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.1) Pure h~lfbf\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias
\ Hyperlipidemia, group b</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia, group c</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.2) Mixed~z0ea\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias
\ Hyperlipidemia, group c</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia, group d</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.3) Hyperc~ggag\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias
\ Hyperlipidemia, group d</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia, unspecified</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.5) Hyperl~kij0\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias
\ Hyperlipidemia, unspecified</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Mixed hyperlipidemia</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.2) Mixed~z0ea\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias
\ Mixed hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Other hyperlipidemia</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.4) Other~p8ow\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias
\ Other hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>HMG-CoA reductase inhibitors</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients with hyperlipidemia, specifically those with hyperlipidemia group A, group B, group C, group D, unspecified hyperlipidemia, mixed hyperlipidemia, or other hyperlipidemia, and their associated medications, specifically HMG-CoA reductase inhibitors.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-34 years o@20:17:28</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 75-84 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 75-84 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 85 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 85 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Amlodipine-atorvastatin</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME80) calcium channel blocking agents\amlodipine-atorvastatin\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ cardiovascular agents \ calcium channel blocking agents \ amlodipine-atorvastatin</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Atorvastatin</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\atorvastatin\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors \ atorvastatin</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Cerivastatin</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\cerivastatin\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors \ cerivastatin</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Ezetimibe-simvastatin</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME9) miscellaneous antihyperlipidemic agents\ezetimibe-simvastatin\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ miscellaneous antihyperlipidemic agents \ ezetimibe-simvastatin</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Fluvastatin</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\fluvastatin\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors \ fluvastatin</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Lovastatin</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\lovastatin\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors \ lovastatin</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Lovastatin-niacin</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\lovastatin-niacin\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors \ lovastatin-niacin</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Pravastatin</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\pravastatin\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors \ pravastatin</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Rosuvastatin</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\rosuvastatin\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors \ rosuvastatin</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Simvastatin</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\simvastatin\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors \ simvastatin</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find medications classified under the category of antihyperlipidemic agents, specifically HMG-CoA reductase inhibitors and miscellaneous antihyperlipidemic agents, including specific drugs such as Atorvastatin, Cerivastatin, Ezetimibe-simvastatin, Fluvastatin, Lovastatin, Lovastatin-niacin, Pravastatin, Rosuvastatin, and Simvastatin.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 55-64-Male@14:30:46</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Male</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Male</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all male patients between the ages of 5 and 64 years old.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Female@20:22:17</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Essential hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find female patients aged 20 to 222 years old who have been diagnosed with essential hypertension and type II diabetes mellitus.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-60 years o@20:44:35</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery) 18-60 years o@20:03:46</item_name>
<item_key>masterid:516</item_key>
<tooltip> 18-60 years o@20:03:46</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find a query that searches for patients aged between 18 and 60 years old, with a specificity scale of 0 and any timing, and includes a panel with a single item that has a prevQuery of "18-60 years o@20:03:46" with a panel timing of ANY, an accuracy scale of 100, and is not a synonym.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Diagnoses@09:45:24</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all diagnoses recorded in the i2b2 database at any time with a specificity scale of 0 and a panel accuracy scale of 100, using the "Diagnoses" panel, with a total of 1 item occurrence, and the item class set to "ENC".
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18--Hyper-HMG@23:30:05</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery) 18--Hyper-HMG@20:45:17</item_name>
<item_key>masterid:524</item_key>
<tooltip> 18--Hyper-HMG@20:45:17</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Other and unspecified hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery)Hyperli-HMG-CoA@12:34:21 [1-24-2018] [demo]</item_name>
<item_key>masterid:89</item_key>
<tooltip>Hyperli-HMG-CoA@12:34:21 [1-24-2018] [demo]</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients with a principal diagnosis of "Other and unspecified hyperlipidemia" within the time frame of ANY and have had a previous query of "18--Hyper-HMG@20:45:17" or "Hyperli-HMG-CoA@12:34:21 [1-24-2018] [demo]" in their medical records. The specificity scale is set to 0, indicating that the query is not specific to any particular patient characteristic or attribute, and the panel accuracy scale is set to 100, indicating a high level of accuracy in the results.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Female@20:22:17@23:44:42</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery)Female@20:22:17</item_name>
<item_key>masterid:522</item_key>
<tooltip>Female@20:22:17</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Essential hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, not stated as uncontrolled</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-20) Diabetes mellitus, type ~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}] or unspecified type with hyperosmolarity, not stated as uncontrolled</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find female patients aged 20 to 222 years, 17 minutes to 23 hours and 444 minutes, who have been diagnosed with essential hypertension as their principal diagnosis, and have a history of diabetes mellitus, type II [non-insulin dependent type], [NIDDM type], [adult-onset type] or unspecified type with hyperosmolarity, not stated as uncontrolled.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Deceased@18:23:40</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Deceased</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Deceased\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Deceased</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
```
|
I want to find patients who have a vital status of deceased at any time, with a specificity scale of 0, panel timing of ANY, panel accuracy scale of 100, and panel number of 1, using the i2b2 query builder with the panel item "Deceased" in the "Demographics" category, and an icon of "LA" in the "ENC" class.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18--Hyper-HMG@20:45:17</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery) 18--Hyper-HMG-C@20:16:19</item_name>
<item_key>masterid:518</item_key>
<tooltip> 18--Hyper-HMG-C@20:16:19</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients with hyperglycemia (high blood sugar levels) within the last 20 hours and 45 minutes, specifically those who were diagnosed between 17 minutes and 17 hours ago. This query is a subpanel of the main panel "18--Hyper-HMG-C@20:16:19", and I would like the results to be as accurate as possible.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Femal-Hyper-Dia@20:48:33</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery)Femal-Hyper-Diabe@20:20:47</item_name>
<item_key>masterid:521</item_key>
<tooltip>Femal-Hyper-Diabe@20:20:47</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all female patients with hyperdiabetes diagnosed at 20 years and 48 days old, 33 minutes after the previous query was created.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(+) Disea-Centr-Affym@09:10:56</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>1</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diseases of the nervous system (g00-g99)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\</item_key>
<item_icon>FAO</item_icon>
<tooltip>Diagnoses \ Diseases of the nervous system (g00-g99)</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key>
<applied_path>\Diagnoses\(G00-G99) Dise~j8kq\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Central nervous system agents</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME92) central nervous system agents\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ central nervous system agents</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Patient Instructions</modifier_name>
<modifier_key>\\i2b2_MEDS\Medication\Instructions\</modifier_key>
<applied_path>\i2b2\Medications\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Family history</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\Medical History\Family History\</item_key>
<item_icon>LA</item_icon>
<tooltip>i2b2 \ Reports \ Medical History \ Family History</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>LIKE[contains]</value_operator>
<value_constraint>ALS</value_constraint>
<value_unit_of_measure></value_unit_of_measure>
<value_type>TEXT</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Affymetrix HG-U133</item_name>
<item_key>\\i2b2_EXPR\i2b2\Expression Profiles Data\Affymetrix HG-U133\</item_key>
<item_icon>FA</item_icon>
<tooltip>Expression Profiles Data\Affymetrix HG-U133</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients who have been diagnosed with diseases of the nervous system (ICD10-ICD9 codes G0-G9) and have been prescribed medications for central nervous system agents, with a family history that includes ALS, and have Affymetrix HG-U13 expression profiles data available.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Hyper-Diabe-Femal@20:09:54</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients who have been diagnosed with hypertension, diabetes mellitus type II, and are female, with no specific time constraints and high accuracy.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Other-Centr-Affym@09:12:10</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Other degenerative diseases of the nervous system (g30-g32)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32)</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key>
<applied_path>\Diagnoses\(G00-G99) Dise~j8kq\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Central nervous system agents</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME92) central nervous system agents\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ central nervous system agents</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Patient Instructions</modifier_name>
<modifier_key>\\i2b2_MEDS\Medication\Instructions\</modifier_key>
<applied_path>\i2b2\Medications\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Family history</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\Medical History\Family History\</item_key>
<item_icon>LA</item_icon>
<tooltip>i2b2 \ Reports \ Medical History \ Family History</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>LIKE[contains]</value_operator>
<value_constraint>ALS</value_constraint>
<value_unit_of_measure></value_unit_of_measure>
<value_type>TEXT</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Affymetrix HG-U133</item_name>
<item_key>\\i2b2_EXPR\i2b2\Expression Profiles Data\Affymetrix HG-U133\</item_key>
<item_icon>FA</item_icon>
<tooltip>Expression Profiles Data\Affymetrix HG-U133</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients with a principal diagnosis of other degenerative diseases of the nervous system (ICD10 code G30-G32), who have been prescribed central nervous system agents (medication instructions), and have a family history that contains ALS, as indicated in their medical reports, using the Affymetrix HG-U13 expression profiles data.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Other-Centr-Affym@09:12:24</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Other degenerative diseases of the nervous system (g30-g32)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32)</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key>
<applied_path>\Diagnoses\(G00-G99) Dise~j8kq\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Central nervous system agents</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME92) central nervous system agents\</item_key>
<item_icon>FAO</item_icon>
<tooltip>medications \ central nervous system agents</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Patient Instructions</modifier_name>
<modifier_key>\\i2b2_MEDS\Medication\Instructions\</modifier_key>
<applied_path>\i2b2\Medications\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Family history</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\Medical History\Family History\</item_key>
<item_icon>LA</item_icon>
<tooltip>i2b2 \ Reports \ Medical History \ Family History</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>LIKE[contains]</value_operator>
<value_constraint>ALS</value_constraint>
<value_unit_of_measure></value_unit_of_measure>
<value_type>TEXT</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Affymetrix HG-U133</item_name>
<item_key>\\i2b2_EXPR\i2b2\Expression Profiles Data\Affymetrix HG-U133\</item_key>
<item_icon>FA</item_icon>
<tooltip>Expression Profiles Data\Affymetrix HG-U133</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients with a principal diagnosis of other degenerative diseases of the nervous system (ICD10 codes G30-G32), who have been prescribed central nervous system agents (Medication class LME92), and have a family history of ALS (reported in the medical history section), with the expression profile data collected using Affymetrix HG-U13 microarray.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>(t) X-Ray R-OperatiX-Ray ROperati@18:44:30</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>X-Ray Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\X-Ray Reports\</item_key>
<item_icon>LAE</item_icon>
<tooltip>i2b2 \ Reports \ X-Ray Reports</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Operations on digestive system</item_name>
<item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(42-54) Operations on digestive system\</item_key>
<item_icon>FA</item_icon>
<tooltip>Procedures \ ICD9 (Inpatient) \ Operations on digestive system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>ANY</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
<span>
<operator>GREATEREQUAL</operator>
<span_value>1</span_value>
<units>DAY</units>
</span>
<span>
<operator>LESS</operator>
<span_value>2</span_value>
<units>DAY</units>
</span>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>X-Ray Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\X-Ray Reports\</item_key>
<item_icon>LAE</item_icon>
<tooltip>i2b2 \ Reports \ X-Ray Reports</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Operations on digestive system</item_name>
<item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(42-54) Operations on digestive system\</item_key>
<item_icon>FA</item_icon>
<tooltip>Procedures \ ICD9 (Inpatient) \ Operations on digestive system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
```
|
I want to find patients who have had an X-ray report within the same instance number as the Observation A panel, and also had an operation on the digestive system within 1 day before or 2 days after the X-ray report, as recorded in the i2b2 database.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Female@-Diabete@23:45:08</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery)Female@20:22:17</item_name>
<item_key>masterid:522</item_key>
<tooltip>Female@20:22:17</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Essential hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, not stated as uncontrolled</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-20) Diabetes mellitus, type ~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}] or unspecified type with hyperosmolarity, not stated as uncontrolled</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, not stated as uncontrolled</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-20) Diabetes mellitus, type ~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}] or unspecified type with hyperosmolarity, not stated as uncontrolled</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find female patients who have been diagnosed with essential hypertension and have a history of diabetes mellitus, specifically type II, non-insulin dependent, adult-onset, or unspecified type, with hyperosmolarity, but not stated as uncontrolled, at any time during their medical history.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Admit D-PATIENT@15:22:23</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Certain conditions originating in the perinatal period (p00-p96)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(P00-P96) Cert~6976\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Certain conditions originating in the perinatal period (p00-p96)</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Admit Diagnosis</modifier_name>
<modifier_key>\\ICD10_ICD9\Admit Diagnosis\</modifier_key>
<applied_path>\Diagnoses\(P00-P96) Cert~6976\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>UA-P/C - COLOR (LOINC:5778-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB48) Urinalysis\(LLB49) Urinalysis\UA-COLOR\LOINC:5778-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Urinalysis \ Urinalysis \ Color (Group:UA-COLOR) \ Ua-p/c - color (LOINC:5778-6)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>EQ</value_operator>
<value_constraint>H</value_constraint>
<value_type>FLAG</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>Patient Set for "JLUdiabetes"Patient setFINISHED</item_name>
<item_key>patient_set_coll_id:778</item_key>
<tooltip>Patient Set for "JLUdiabetes"Patient setFINISHED</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients who have a diagnosis related to certain conditions originating in the perinatal period (p0-p96) and have a urinalysis result with a color value of "H" (hemoglobin) present in their medical record, as well as those who belong to the patient set with the collection ID 78, which is associated with JLdiabetes patient set.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Other-Centr-Affym@09:12:36</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Other degenerative diseases of the nervous system (g30-g32)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32)</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key>
<applied_path>\Diagnoses\(G00-G99) Dise~j8kq\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Central nervous system agents</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME92) central nervous system agents\</item_key>
<item_icon>FAO</item_icon>
<tooltip>medications \ central nervous system agents</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Patient Instructions</modifier_name>
<modifier_key>\\i2b2_MEDS\Medication\Instructions\</modifier_key>
<applied_path>\i2b2\Medications\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Family history</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\Medical History\Family History\</item_key>
<item_icon>LA</item_icon>
<tooltip>i2b2 \ Reports \ Medical History \ Family History</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>LIKE[contains]</value_operator>
<value_constraint>ALS</value_constraint>
<value_unit_of_measure></value_unit_of_measure>
<value_type>TEXT</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Affymetrix HG-U133</item_name>
<item_key>\\i2b2_EXPR\i2b2\Expression Profiles Data\Affymetrix HG-U133\</item_key>
<item_icon>FA</item_icon>
<tooltip>Expression Profiles Data\Affymetrix HG-U133</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients with a principal diagnosis of other degenerative diseases of the nervous system (ICD-9 codes G30-G32) who have been prescribed central nervous system agents (medications) and have a family history that contains "ALS" (Amyotrophic Lateral Sclerosis) in their medical reports, as well as those who have Affymetrix HG-U13 expression profiles available.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Other-Affym-Affym@09:13:16</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Other degenerative diseases of the nervous system (g30-g32)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(G00-G99) Dise~j8kq\(G30-G32) Othe~kdmb\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the nervous system (g00-g99) \ Other degenerative diseases of the nervous system (g30-g32)</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key>
<applied_path>\Diagnoses\(G00-G99) Dise~j8kq\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Affymetrix HG-U133</item_name>
<item_key>\\i2b2_EXPR\i2b2\Expression Profiles Data\Affymetrix HG-U133\</item_key>
<item_icon>FA</item_icon>
<tooltip>Expression Profiles Data\Affymetrix HG-U133</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Affymetrix HG-U133</item_name>
<item_key>\\i2b2_EXPR\i2b2\Expression Profiles Data\Affymetrix HG-U133\</item_key>
<item_icon>FA</item_icon>
<tooltip>Expression Profiles Data\Affymetrix HG-U133</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all patients with a diagnosis of other degenerative diseases of the nervous system (ICD-10 codes G30-G32) and who have Affymetrix HG-U13 expression profiles data available.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Acute pancreati@21:56:32</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all patients with a diagnosis of acute pancreatitis within the specified time frame (ANY), with a specificity scale of 0 and a panel accuracy scale of 100, using the ICD-9 code 570-579.570, and the query will search for the term "Acute pancreatitis" under the Diagnoses category in the Digestive System section, specifically in the Other Diseases of the Digestive System subcategory, within the Diseases of the Pancreas section. The query will be named "Acute pancreati@21:56:32" and the panel number will be 1.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Hematol- 35-44@11:36:45</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Hematology</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Hematology</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all patients with Hematology lab tests who are between the ages of 35 and 444 years old.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Neoplas-Affymet@09:51:01</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Neoplasms (c00-d49)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(C00-D49) Neop~k3n8\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neoplasms (c00-d49)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Affymetrix HG-U133</item_name>
<item_key>\\i2b2_EXPR\i2b2\Expression Profiles Data\Affymetrix HG-U133\</item_key>
<item_icon>FA</item_icon>
<tooltip>Expression Profiles Data\Affymetrix HG-U133</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all patients with diagnoses of neoplasms (c0-d49) in the ICD10_ICD9 table and who have Affymetrix HG-U13 expression profiles in the i2b2 database.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Neoplas-Affymet@09:55:33</query_name>
<query_timing>SAMEVISIT</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEVISIT</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Neoplasms (c00-d49)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(C00-D49) Neop~k3n8\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neoplasms (c00-d49)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>SAMEVISIT</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Affymetrix HG-U133</item_name>
<item_key>\\i2b2_EXPR\i2b2\Expression Profiles Data\Affymetrix HG-U133\</item_key>
<item_icon>FA</item_icon>
<tooltip>Expression Profiles Data\Affymetrix HG-U133</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients with neoplasms (c0-d49) diagnoses and Affymetrix HG-U13 expression profiles data in the same visit.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Neoplas-Affymet@09:55:44</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Neoplasms (c00-d49)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(C00-D49) Neop~k3n8\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neoplasms (c00-d49)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Affymetrix HG-U133</item_name>
<item_key>\\i2b2_EXPR\i2b2\Expression Profiles Data\Affymetrix HG-U133\</item_key>
<item_icon>FA</item_icon>
<tooltip>Expression Profiles Data\Affymetrix HG-U133</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all instances where a patient has been diagnosed with neoplasms (c0-d49) and has had an Affymetrix HG-U13 expression profile data recorded at any time.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-60-Princip@23:00:24</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery) 18-60 years o@20:44:35</item_name>
<item_key>masterid:523</item_key>
<tooltip> 18-60 years o@20:44:35</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients aged 18-60 years old with a principal diagnosis of acute pancreatitis at 20:4:35 on the first panel and any diagnosis of acute pancreatitis on the second panel, with a specificity scale of 0 and an accuracy scale of 100.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Acute pancreati@21:13:09</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients who have been diagnosed with acute pancreatitis, between the ages of 18-64 years old, including specific age groups of 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, and 60 years old.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-60-Princip@23:02:04</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery) 18-60 years o@20:44:35</item_name>
<item_key>masterid:523</item_key>
<tooltip> 18-60 years o@20:44:35</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients aged 18-60 years old with a principal diagnosis of acute pancreatitis within any time frame, with a specificity scale of 0 and a panel accuracy scale of 100.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-60-Princip@23:03:02</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery) 18-60 years o@20:44:35</item_name>
<item_key>masterid:523</item_key>
<tooltip> 18-60 years o@20:44:35</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients aged 18-60 years old with a principal diagnosis of acute pancreatitis in the Digestive System category within the Diseases of Pancreas subcategory.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-60 years o@23:03:23</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery) 18-60 years o@20:44:35</item_name>
<item_key>masterid:523</item_key>
<tooltip> 18-60 years o@20:44:35</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients between the ages of 18 and 60 years old who have been diagnosed with acute pancreatitis as a principal diagnosis within the specified timeframe.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Acute pancreati@14:32:40</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients with acute pancreatitis who are between the ages of 18 and 64 and are currently living.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Female@20:22:17@23:45:18</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery)Female@20:22:17</item_name>
<item_key>masterid:522</item_key>
<tooltip>Female@20:22:17</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Essential hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, not stated as uncontrolled</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-20) Diabetes mellitus, type ~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}] or unspecified type with hyperosmolarity, not stated as uncontrolled</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find female patients aged 20 to 222 years and 17 minutes to 23 hours and 45 minutes old, who have been diagnosed with essential hypertension as their principal diagnosis, and have a co-diagnosis of diabetes mellitus type II (non-insulin dependent) with hyperosmolarity, not stated as uncontrolled.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) Circulatory sysDigestive syste-Events of pregn@10:15:28</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Events of pregnancy</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Events of pregnancy (630-677)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Events of pregnancy</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Genitourinary system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Genitourinary system (580-629)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Genitourinary system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
```
|
I want to find patients who have had an event related to the circulatory system and an event related to the digestive system or events of pregnancy at the same instance number, with a specificity scale of 0 and the time constraint being "ANY". The first query should have a join column of "STARTDATE" and an aggregate operator of "FIRST", while the second query should have the same join column and aggregate operator. The first subquery should look for diagnoses related to the circulatory system, while the second subquery should look for diagnoses related to the digestive system or events of pregnancy, with an accuracy scale of 10 and no inversion.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-34 years o@15:00:13</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 75-84 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 75-84 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 85 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 85 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>HMG-CoA reductase inhibitors</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients between the ages of 18-34, 35-44, 45-54, 555-64, 65-74, 75-84, and 85+ years old who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors medications.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>mild -moder-nonde@10:30:27</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>mild dementia</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>moderate dementia</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\moderate dementia\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ moderate dementia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>nondemented</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\nondemented\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ MMSE score \ nondemented</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
```
|
I want to find patients with mild dementia, moderate dementia, or nondemented status using the Clinical Dementia Rating (CDR) and Mini-Mental State Examination (MMSE) score in the OASIS Clinical Measures module, with a specificity scale of 0 and any timing.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18--Hyper-HMG@11:38:07</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery) 18--Hyper-HMG@23:30:05</item_name>
<item_key>masterid:541</item_key>
<tooltip> 18--Hyper-HMG@23:30:05</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all patients who have been diagnosed with hyperhomocysteinemia at any time (ANY) and have a specificity scale of 0, meaning that the diagnosis has been recorded with no preference for a particular level of certainty. The query will search for patients who meet these criteria and have a panel accuracy scale of 100, indicating a high level of confidence in the results. This query is based on a previous query named "18--Hyper-HMG@23:30:05" and is not a synonym for any other query.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>20-24@15:21:22</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>20</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\MMSE score\Mild Alzheimers disease\20\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ MMSE score \ Mild Alzheimer's disease \ 20</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>24</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\MMSE score\Mild Alzheimers disease\24\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ MMSE score \ Mild Alzheimer's disease \ 24</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all patients with a Mild Alzheimer's disease MMSE score between 20 and 24 at any time during their medical history, using the OASIS Clinical Measures data source.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Admit Diagnosis@15:21:41</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Certain conditions originating in the perinatal period (p00-p96)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(P00-P96) Cert~6976\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Certain conditions originating in the perinatal period (p00-p96)</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Admit Diagnosis</modifier_name>
<modifier_key>\\ICD10_ICD9\Admit Diagnosis\</modifier_key>
<applied_path>\Diagnoses\(P00-P96) Cert~6976\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all patients with any diagnosis related to certain conditions originating in the perinatal period (p0-p96) recorded as an admit diagnosis, with 1000% accuracy, and no specificity scaling, within any time frame.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Essential (prim@11:04:09</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Essential (primary) hypertension</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
```
|
I want to find patients with a diagnosis of Essential (primary) hypertension in the ICD10-ICD9 classification system within the Diagnoses panel, under the category of Diseases of the circulatory system (i0-i9), specifically within the subcategory of Hypertensive diseases (i10-i15). The query is set to have a specificity scale of 0, meaning it will return all cases that match the specified criteria, and the accuracy scale is set to 100, indicating the highest level of accuracy. The query timing is set to ANY, meaning it can be applied to any time period. The panel number is set to 1, and the total number of items to be considered is 1. The item is a synonym, and the class is set to ENC.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) zz V-codesCirculatory sysDigestive syste-Events of pregn@10:16:19</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>zz V-codes</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\zz V-codes\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ V-codes</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Events of pregnancy</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Events of pregnancy (630-677)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Events of pregnancy</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Genitourinary system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Genitourinary system (580-629)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Genitourinary system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
```
|
I want to find patients who have had an encounter with a diagnosis related to the circulatory system (codes 390-459) at any time, and at the same instance number, have a diagnosis related to the digestive system (codes 520-579) or events of pregnancy (codes 630-67) or genitourinary system (codes 580-629). The diagnoses should be from the same visit (SAMEINSTANCENUM), and the specificity scale is set to 0, meaning that all occurrences of the specified diagnoses will be included. The query is looking for the first occurrence of each diagnosis (FIRST aggregate operator) and the subquery constraint is set to LESS, meaning that the first query (circulatory system) should occur before the second query (digestive or genitourinary system or events of pregnancy). The accuracy scale for both subqueries is set to 10, indicating high confidence in the results. The query is named "zz V-codesCirculatory sysDigestive syste-Events of pre
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) DiagnosesCirculatory sysDigestive systeEvents of pregn@11:29:14</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 3</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 3</query_id>
<query_type>EVENT</query_type>
<query_name>Event 3</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Events of pregnancy</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Events of pregnancy (630-677)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Events of pregnancy</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
```
|
I want to find diagnoses related to the circulatory system (codes 390-459), digestive system (codes 520-579), and events of pregnancy (codes 630-67) in the same instance number (SAMEINSTANCENUM) with a specificity scale of 0, and a panel timing of ANY. The query is named "DiagnosesCirculatory sysDigestive systeEvents of pregn@1:29:14".
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) zz V-codesCirculatory sysDigestive syste-Events of pregn@10:18:16</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>zz V-codes</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\zz V-codes\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ V-codes</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2018-01-30T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Events of pregnancy</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Events of pregnancy (630-677)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Events of pregnancy</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2018-01-30T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Genitourinary system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Genitourinary system (580-629)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Genitourinary system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2018-01-30T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
```
|
I want to find patients who have been diagnosed with a circulatory system condition (ICD code 390-459) at any time before the start of pregnancy, and have also had an event of pregnancy (ICD code 630-67) or a genitourinary system condition (ICD code 580-629) during the same instance of care, but not a digestive system condition (ICD code 520-579) after the start of pregnancy and before January 30, 2018.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Female@15:05:49</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>HTN [Hypertension]</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find female patients with a diagnosis of type II diabetes mellitus and unspecified essential hypertension, with any timing and a specificity scale of 0, and the panel has a total of 1 occurrence, an accuracy scale of 100, and is not inverted.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) zz V--Chole-De-IdCircuDiges-Event@10:44:13</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>zz V-codes</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\zz V-codes\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ V-codes</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>UA-P/C - COLOR (LOINC:5778-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB48) Urinalysis\(LLB49) Urinalysis\UA-COLOR\LOINC:5778-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Urinalysis \ Urinalysis \ Color (Group:UA-COLOR) \ Ua-p/c - color (LOINC:5778-6)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>IN</value_operator>
<value_constraint>('DK-YEL','STRAW CLEAR','YELLOW,CLEAR')</value_constraint>
<value_type>TEXT</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>240</value_constraint>
<value_unit_of_measure>mg/dl</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>240</value_constraint>
<value_unit_of_measure>mg/dl</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>De-Identified X-Ray Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\De-Identified X-Ray Reports\</item_key>
<item_icon>LA</item_icon>
<tooltip>\ i2b2 \ Reports \ De-Identified X-Ray Reports \</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>CONTAINS</value_operator>
<value_constraint>fracture</value_constraint>
<value_type>LARGETEXT</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>De-Identified X-Ray Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\De-Identified X-Ray Reports\</item_key>
<item_icon>LA</item_icon>
<tooltip>\ i2b2 \ Reports \ De-Identified X-Ray Reports \</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>CONTAINS[database]</value_operator>
<value_constraint>broken</value_constraint>
<value_type>LARGETEXT</value_type>
</constrain_by_value>
<constrain_by_date>
<date_to>2018-01-30T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2018-01-30T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Events of pregnancy</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Events of pregnancy (630-677)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Events of pregnancy</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2018-01-30T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Genitourinary system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Genitourinary system (580-629)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Genitourinary system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2018-01-30T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
```
|
I want to find all encounters where the patient had a diagnosis related to the circulatory system (ICD codes 390-459) on the same date as the encounter with a diagnosis related to the digestive system (ICD codes 520-579) or events of pregnancy (ICD codes 630-67), excluding encounters where the diagnosis related to the genitourinary system (ICD codes 580-629) occurred on the same date, with the circulatory system diagnosis occurring before the digestive system or events of pregnancy diagnosis, and the date range being between December 1, 1979 and January 30, 2018.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) zz V--Chole-De-IdCircuDiges@10:49:30</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>zz V-codes</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\zz V-codes\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ V-codes</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>UA-P/C - COLOR (LOINC:5778-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB48) Urinalysis\(LLB49) Urinalysis\UA-COLOR\LOINC:5778-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Urinalysis \ Urinalysis \ Color (Group:UA-COLOR) \ Ua-p/c - color (LOINC:5778-6)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>IN</value_operator>
<value_constraint>('DK-YEL','STRAW CLEAR','YELLOW,CLEAR')</value_constraint>
<value_type>TEXT</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>240</value_constraint>
<value_unit_of_measure>mg/dl</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>240</value_constraint>
<value_unit_of_measure>mg/dl</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>De-Identified X-Ray Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\De-Identified X-Ray Reports\</item_key>
<item_icon>LA</item_icon>
<tooltip>\ i2b2 \ Reports \ De-Identified X-Ray Reports \</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>CONTAINS</value_operator>
<value_constraint>fracture</value_constraint>
<value_type>LARGETEXT</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>De-Identified X-Ray Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\De-Identified X-Ray Reports\</item_key>
<item_icon>LA</item_icon>
<tooltip>\ i2b2 \ Reports \ De-Identified X-Ray Reports \</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>CONTAINS[database]</value_operator>
<value_constraint>broken</value_constraint>
<value_type>LARGETEXT</value_type>
</constrain_by_value>
<constrain_by_date>
<date_to>2018-01-30T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Observation A</query_id>
<query_type>EVENT</query_type>
<query_name>Observation A</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2018-01-30T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
```
|
I want to find all patients with a diagnosis of a circulatory system condition (ICD code 390-459) before January 30, 2018, who also have a de-identified X-ray report containing the word "fracture" or "broken" on or after January 30, 2018, and have a cholesterol level greater than or equal to 240 mg/dl at any time.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) DiagnosesCirculatory sysDigestive syste@11:36:14</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
```
|
I want to find all instances where a patient has a diagnosis related to the circulatory system (codes 390-459) and a diagnosis related to the digestive system (codes 520-579) during the same encounter.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>VITAM-FOLAT-IRON @10:52:36</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>VITAMIN B12 UNSAT BIND CAPA (LOINC:2171-7)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB31) Anemia Related Studies\B12USAT\LOINC:2171-7\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Anemia Related Studies \ B12 Unsaturated Binding (Group:B12USAT) \ Vitamin b12 unsat bind capa (LOINC:2171-7)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>FOLATE, SERUM (LOINC:2284-8)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB31) Anemia Related Studies\FOLATE\LOINC:2284-8\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Anemia Related Studies \ Folic Acid (Group:FOLATE) \ FOLATE, SERUM (LOINC:2284-8)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>IRON (LOINC:2498-4)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB31) Anemia Related Studies\FE\LOINC:2498-4\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Anemia Related Studies \ Iron (Group:FE) \ Iron (LOINC:2498-4)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
```
|
I want to find the lab tests for Vitamin B12 Unsaturated Binding Capacity (LOINC:2171-7), Folate (LOINC:284-8), and Iron (LOINC:2498-4) in the Chemistry and Anemia Related Studies categories, with any timing and 1000% accuracy scale, grouped under panels 1, 2, and 3 respectively, without inverting the results and with no synonyms.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) zz V--Chole-De-IdCircuDiges@10:50:14</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>zz V-codes</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\zz V-codes\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ V-codes</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>UA-P/C - COLOR (LOINC:5778-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB48) Urinalysis\(LLB49) Urinalysis\UA-COLOR\LOINC:5778-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Urinalysis \ Urinalysis \ Color (Group:UA-COLOR) \ Ua-p/c - color (LOINC:5778-6)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>IN</value_operator>
<value_constraint>('DK-YEL','STRAW CLEAR','YELLOW,CLEAR')</value_constraint>
<value_type>TEXT</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>240</value_constraint>
<value_unit_of_measure>mg/dl</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>240</value_constraint>
<value_unit_of_measure>mg/dl</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>De-Identified X-Ray Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\De-Identified X-Ray Reports\</item_key>
<item_icon>LA</item_icon>
<tooltip>\ i2b2 \ Reports \ De-Identified X-Ray Reports \</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>CONTAINS</value_operator>
<value_constraint>fracture</value_constraint>
<value_type>LARGETEXT</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>De-Identified X-Ray Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\De-Identified X-Ray Reports\</item_key>
<item_icon>LA</item_icon>
<tooltip>\ i2b2 \ Reports \ De-Identified X-Ray Reports \</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>CONTAINS[database]</value_operator>
<value_constraint>broken</value_constraint>
<value_type>LARGETEXT</value_type>
</constrain_by_value>
<constrain_by_date>
<date_to>2018-01-30T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2018-01-30T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
```
|
I want to find patients with a diagnosis of a circulatory system condition (ICD code 390-459) and a de-identified x-ray report containing the term "fracture" in the same instance, while excluding patients with a digestive system diagnosis (ICD code 520-579) and a de-identified x-ray report containing the term "broken" in the same instance, where the first event (circulatory system diagnosis) occurred before the second event (digestive system diagnosis).
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) zz V--Chole-De-IdCircuDiges@10:53:12</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>zz V-codes</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\zz V-codes\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ V-codes</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>UA-P/C - COLOR (LOINC:5778-6)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB48) Urinalysis\(LLB49) Urinalysis\UA-COLOR\LOINC:5778-6\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Urinalysis \ Urinalysis \ Color (Group:UA-COLOR) \ Ua-p/c - color (LOINC:5778-6)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>IN</value_operator>
<value_constraint>('DK-YEL','STRAW CLEAR','YELLOW,CLEAR')</value_constraint>
<value_type>TEXT</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>240</value_constraint>
<value_unit_of_measure>mg/dl</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Cholesterol (Group:CHOL)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GE</value_operator>
<value_constraint>240</value_constraint>
<value_unit_of_measure>mg/dl</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>De-Identified X-Ray Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\De-Identified X-Ray Reports\</item_key>
<item_icon>LA</item_icon>
<tooltip>\ i2b2 \ Reports \ De-Identified X-Ray Reports \</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>CONTAINS</value_operator>
<value_constraint>fracture</value_constraint>
<value_type>LARGETEXT</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>De-Identified X-Ray Reports</item_name>
<item_key>\\i2b2_REP\i2b2\Reports\De-Identified X-Ray Reports\</item_key>
<item_icon>LA</item_icon>
<tooltip>\ i2b2 \ Reports \ De-Identified X-Ray Reports \</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>CONTAINS[database]</value_operator>
<value_constraint>broken</value_constraint>
<value_type>LARGETEXT</value_type>
</constrain_by_value>
<constrain_by_date>
<date_to>2018-01-30T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_from>1979-12-01T00:00:00.000-05:00</date_from>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<constrain_by_date>
<date_to>2018-01-30T00:00:00.000-05:00</date_to>
</constrain_by_date>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
```
|
I want to find patients who have had a de-identified X-ray report containing the word "fracture" and who also had a diagnosis of a circulatory system disorder between 1979-12-01 and 2018-01-30, where the circulatory system diagnosis occurred before the X-ray report.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) DiagnosesCirculatory sys-Injury and poisDigestive syste@11:22:55</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Injury and poisoning</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Injury and poisoning</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
```
|
I want to find patients with diagnoses related to the circulatory system (codes 390-459) and injury and poisoning (codes 80-999) in the same instance, as well as diagnoses related to the digestive system (codes 520-579) in the same instance. The diagnoses should be within the same encounter number, and the timings for both events should be the same.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) DiagnosesCirculatory sysDigestive systeEvents of pregn@11:25:36</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 3</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 3</query_id>
<query_type>EVENT</query_type>
<query_name>Event 3</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Events of pregnancy</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Events of pregnancy (630-677)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Events of pregnancy</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
```
|
I want to find all patients who have been diagnosed with a circulatory system disorder (codes 390-459) and a digestive system disorder (codes 520-579) at any time, with no specific time frame constraint, and who also have had an event related to pregnancy (codes 630-67) at any time, with no specific time frame constraint, where the diagnosis of the circulatory system disorder occurred before the digestive system disorder, and the digestive system disorder occurred before the pregnancy-related event.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) DiagnosesCirculatory sysDigestive systeEvents of pregnInjury and pois@11:27:33</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 3</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 4</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 3</query_id>
<query_type>EVENT</query_type>
<query_name>Event 3</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Events of pregnancy</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Events of pregnancy (630-677)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Events of pregnancy</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 4</query_id>
<query_type>EVENT</query_type>
<query_name>Event 4</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Injury and poisoning</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Injury and poisoning</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
```
|
I want to find patients who have an encounter with a diagnosis related to the circulatory system (Circulatory system) and do not have any encounters with diagnoses related to the digestive system (Digestive system), events of pregnancy (Events of pregnancy), or injury and poisoning (Injury and poisoning) within the same instance number (SAMEINSTANCENUM) and whose encounter dates for the circulatory system diagnosis are earlier than the encounter dates for the other three categories.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>(t) DiagnosesCirculatory sysDigestive syste@11:38:32</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>0</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>2</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns3:query_definition>
```
|
I want to find patients who have been diagnosed with any condition related to the circulatory system (ICD codes 390-459) and have not been diagnosed with any condition related to the digestive system (ICD codes 52-579) at the same encounter or visit.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Circula-Digesti@15:08:22</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all diagnoses related to the circulatory system (ICD codes 390-459) and the digestive system (ICD codes 520-579) in the i2b2 database, with a specificity scale of 0 and accuracy scale of 100, without inverting the panel results. The query timing should be set to "ANY" for both panels, and the query name should be "Circula-Digesti@15:08:22".
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 55-64 years o@12:27:44</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients who are between the ages of 5 and 64 years old, with any timing and specificity, and with a high level of accuracy. This query is part of a panel that includes demographic information related to age, specifically focusing on the 5-64 age range, and the query will be applied to the i2b2 database using the query builder.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-34-Acute p@21:37:33</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find encounters where the patient is between 18 and 64 years old and has a diagnosis of acute pancreatitis.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Antiviral agent@19:00:16</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Antiviral agents</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME10) anti-infectives\(LME27) antiviral agents\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ anti-infectives \ antiviral agents</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
```
|
I want to find all instances where the patient has been prescribed or administered antiviral agents within the medications section of their medical record, regardless of the specific time frame. This query will have a high level of accuracy and will include all medications classified under the antiviral agents category.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Femal-Neopl-Expre@03:13:56</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Race</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Race\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Race</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 75-84 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 75-84 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 85 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 85 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Unknown</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Unknown\</item_key>
<item_icon>MA</item_icon>
<tooltip>Demographic \ Gender \ not recorded</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Neoplasms</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\</item_key>
<item_icon>FAO</item_icon>
<tooltip>Diagnoses \ Neoplasms</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Admit Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Neoplasms (140-239)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Neoplasms</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neoplasms</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Admit Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Neoplasms (140-239)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Neoplasms</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neoplasms</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Admit Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Neoplasms (140-239)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Expression Profiles Data</item_name>
<item_key>\\i2b2_EXPR\i2b2\Expression Profiles Data\</item_key>
<item_icon>FA</item_icon>
<tooltip>Expression Profiles Data</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find demographic information on patients aged 65 years or older, including their gender and race, as well as diagnoses related to neoplasms (cancerous growths) and expression profiles data.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Femal-Breas-Expre@03:27:14</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Race</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Race\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Race</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 75-84 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 75-84 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 85 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 85 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Unknown</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Unknown\</item_key>
<item_icon>MA</item_icon>
<tooltip>Demographic \ Gender \ not recorded</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Breast cancer, female</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Bone, connective tissue, skin, and breast (170-176)\(174) Malignant neoplasm of femal~\(174-9) Malignant neoplasm of bre~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Bone, connective tissue, skin, and breast \ Malignant neoplasm of female breast \ Malignant neoplasm of breast (female), unspecified</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Breast cancer, male</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Bone, connective tissue, skin, and breast (170-176)\(175) Malignant neoplasm of male ~\(175-9) Malignant neoplasm of oth~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Bone, connective tissue, skin, and breast \ Malignant neoplasm of male breast \ Malignant neoplasm of other and unspecified sites of male breast</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Neoplasms</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neoplasms</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Cancer of breast, female</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Bone, connective tissue, skin, and breast (170-176)\(174) Malignant neoplasm of femal~\(174-9) Malignant neoplasm of bre~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Bone, connective tissue, skin, and breast \ Malignant neoplasm of female breast \ Malignant neoplasm of breast (female), unspecified</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Cancer of breast, male</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Bone, connective tissue, skin, and breast (170-176)\(175) Malignant neoplasm of male ~\(175-9) Malignant neoplasm of oth~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Bone, connective tissue, skin, and breast \ Malignant neoplasm of male breast \ Malignant neoplasm of other and unspecified sites of male breast</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Symptoms, signs, and ill-defined conditions</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Admit Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Metabolic and immunity disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Expression Profiles Data</item_name>
<item_key>\\i2b2_EXPR\i2b2\Expression Profiles Data\</item_key>
<item_icon>FA</item_icon>
<tooltip>Expression Profiles Data</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all patients with a diagnosis of breast cancer, both for females and males, as well as any symptoms, signs, or ill-defined conditions related to breast cancer, and all expression profiles data.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 55-64 years o@12:28:57</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Hemorrhagic and hematological disorders of newborn (p50-p61)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(P00-P96) Cert~6976\(P50-P61) Hemo~c7pu\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Certain conditions originating in the perinatal period (p00-p96) \ Hemorrhagic and hematological disorders of newborn (p50-p61)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients aged 5-64 years old with a diagnosis of hemorrhagic and hematological disorders of the newborn (ICD10 code P50-P61) in the Certain Conditions Originating in the Perinatal Period category (ICD10 code P00-P96).
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Principal Diagn@09:56:21</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Respiratory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Respiratory system</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Respiratory system (460-519)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
```
|
I want to find all diagnoses related to the respiratory system (ICD codes 460-519) that have been designated as the principal diagnosis within the specified time frame, with a specificity scale of 0 and a panel accuracy scale of 100.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Femal-Breas-Expre@03:37:11</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Race</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Race\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Race</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 75-84 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 75-84 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 85 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 85 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>Unknown</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Unknown\</item_key>
<item_icon>MA</item_icon>
<tooltip>Demographic \ Gender \ not recorded</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Breast cancer, female</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Bone, connective tissue, skin, and breast (170-176)\(174) Malignant neoplasm of femal~\(174-9) Malignant neoplasm of bre~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Bone, connective tissue, skin, and breast \ Malignant neoplasm of female breast \ Malignant neoplasm of breast (female), unspecified</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Breast cancer, male</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Bone, connective tissue, skin, and breast (170-176)\(175) Malignant neoplasm of male ~\(175-9) Malignant neoplasm of oth~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Bone, connective tissue, skin, and breast \ Malignant neoplasm of male breast \ Malignant neoplasm of other and unspecified sites of male breast</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Neoplasms</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neoplasms</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Cancer of breast, female</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Bone, connective tissue, skin, and breast (170-176)\(174) Malignant neoplasm of femal~\(174-9) Malignant neoplasm of bre~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Bone, connective tissue, skin, and breast \ Malignant neoplasm of female breast \ Malignant neoplasm of breast (female), unspecified</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Cancer of breast, male</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Bone, connective tissue, skin, and breast (170-176)\(175) Malignant neoplasm of male ~\(175-9) Malignant neoplasm of oth~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Bone, connective tissue, skin, and breast \ Malignant neoplasm of male breast \ Malignant neoplasm of other and unspecified sites of male breast</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Symptoms, signs, and ill-defined conditions</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Admit Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Metabolic and immunity disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\</item_key>
<item_icon>FAO</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Expression Profiles Data</item_name>
<item_key>\\i2b2_EXPR\i2b2\Expression Profiles Data\</item_key>
<item_icon>FA</item_icon>
<tooltip>Expression Profiles Data</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all encounters with diagnoses of neoplasms (140-239), specifically malignant neoplasms (140-208) related to bone, connective tissue, skin, and breast (170-176), including malignant neoplasm of female breast (174-9) and malignant neoplasm of male breast (175-9), as well as symptoms, signs, and ill-defined conditions (78-79) and metabolic and immunity disorders (270-279). Additionally, I want to include expression profiles data in my search.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18--Princ-Acute@15:51:39</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Digestive system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all patients with a principal diagnosis of acute pancreatitis, aged 45-54 years old, who have had at least one encounter in the Emergency Department or Inpatient setting, with the encounter date within the last year. Additionally, I want to include patients with a principal diagnosis of acute pancreatitis within the Digestive System category, specifically within the Diseases of Pancreas subcategory.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18--Princ-Acute@15:57:49</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Endocrine disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine disorders</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Endocrine disorders (240-259)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients aged 45-64 years old with an endocrine disorder (ICD-9 code 240-259) as their principal diagnosis and who have a diagnosis of acute pancreatitis (ICD-9 code 5777.0) in their medical record.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 55-64 years o@12:29:12</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Hemorrhagic and hematological disorders of newborn (p50-p61)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(P00-P96) Cert~6976\(P50-P61) Hemo~c7pu\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Certain conditions originating in the perinatal period (p00-p96) \ Hemorrhagic and hematological disorders of newborn (p50-p61)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients aged 5-64 years old with hemorrhagic and hematological disorders of the newborn (ICD10 codes P50-P61) who had any diagnosis or encounter during their stay in the hospital.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Female@16:05:02</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Pre-existing diabetes mellitus, type 2, in pregnancy, unspecified trimester</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\(O24.11) Pre-e~6pf1\(O24.119) Pre-~792g\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29)
... \ Pre-existing diabetes mellitus, type 2, in pregnancy \ Pre-existing diabetes mellitus, type 2, in pregnancy, unspecified trimester</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find female patients with a diagnosis of hypertension and pre-existing diabetes mellitus, type 2, in pregnancy, unspecified trimester.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 55-64 years o@12:29:16</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Hemorrhagic and hematological disorders of newborn (p50-p61)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(P00-P96) Cert~6976\(P50-P61) Hemo~c7pu\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Certain conditions originating in the perinatal period (p00-p96) \ Hemorrhagic and hematological disorders of newborn (p50-p61)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients aged 5-64 years old who have been diagnosed with Hemorrhagic and hematological disorders of newborn (ICD-10 codes P50-P61) at any time during their medical history.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>HGB A1C (LOINC:@23:07:02</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>HGB A1C (LOINC:4548-4)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:4548-4\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ Hgb a1c (LOINC:4548-4)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GT</value_operator>
<value_constraint>6</value_constraint>
<value_unit_of_measure>%</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all patients with a Hemoglobin A1C (HgbA1C) lab test result (LOINC:4548-4) greater than 6%, within any time frame, with a high level of specificity and accuracy, and display it in a panel with a single item.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>HGB A1C (LOINC:@23:08:11</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>HGB A1C (LOINC:4548-4)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\Hemoglobin\GHBA1C\LOINC:4548-4\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Chemistry \ Hemoglobin \ GHBA1C (Group:GHBA1C) \ Hgb a1c (LOINC:4548-4)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>GT</value_operator>
<value_constraint>10</value_constraint>
<value_unit_of_measure>%</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all instances of Hgb A1C (LOINC:4548-4) laboratory tests with a value greater than 10% within any time frame, grouped under the Hemoglobin category in the Chemistry section of the Labtests panel, with an accuracy scale of 100 and a specificity scale of 0, and display the result in the Laboratory Data section of the i2b2 workbench.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Acute-HEMOG-Visit@10:19:13</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Acute upper respiratory infections (j00-j06)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J00-J06) Acut~bb2r\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Acute upper respiratory infections (j00-j06)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Influenza and pneumonia (j09-j18)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J09-J18) Infl~7z2l\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Influenza and pneumonia (j09-j18)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>1</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>HEMOGLOBIN (LOINC:718-7)</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB57) Complete Blood Count\HGB\LOINC:718-7\</item_key>
<item_icon>LA</item_icon>
<tooltip>Labtests \ Hematology \ Complete Blood Count \ HGB (Group:HGB) \ Vhgb (LOINC:718-7)</tooltip>
<class>ENC</class>
<constrain_by_value>
<value_operator>LT</value_operator>
<value_constraint>12</value_constraint>
<value_unit_of_measure>g/dl</value_unit_of_measure>
<value_type>NUMBER</value_type>
</constrain_by_value>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Visit at age 10 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\10-17 years old\10 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ 10-17 years old \ 10 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Visit at age 11 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\10-17 years old\11 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ 10-17 years old \ 11 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Visit at age 12 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\10-17 years old\12 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ 10-17 years old \ 12 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Visit at age 14 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\10-17 years old\14 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ 10-17 years old \ 14 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Visit at age 15 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\10-17 years old\15 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ 10-17 years old \ 15 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Visit at age 1 year old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\0-9 years old\1 year old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ 0-9 years old \ 1 year old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Visit at age 2 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\0-9 years old\2 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ 0-9 years old \ 2 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Visit at age 3 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\0-9 years old\3 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ 0-9 years old \ 3 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Visit at age 4 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\0-9 years old\4 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ 0-9 years old \ 4 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Visit at age 5 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\0-9 years old\5 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ 0-9 years old \ 5 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Visit at age 6 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\0-9 years old\6 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ 0-9 years old \ 6 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Visit at age 7 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\0-9 years old\7 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ 0-9 years old \ 7 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Visit at age 8 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\0-9 years old\8 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ 0-9 years old \ 8 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Visit at age 9 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\0-9 years old\9 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ 0-9 years old \ 9 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name> Visit at age less than 1 year old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\0-9 years old\0 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ 0-9 years old \ 0 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Visit at age 13 years old</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\10-17 years old\13 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Age at visit \ 10-17 years old \ 13 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
```
|
I want to find all visits where the patient was between the ages of 0 and 9 years old, specifically at ages 0, 1, 2, 3, 4, 5, 6, 7, 8, and 9 years old, and at age 13 years old.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18--Hyper-HMG-C@16:11:51</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 75-84 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 75-84 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 85 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 85 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>HMG-CoA reductase inhibitors</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients aged 18-34, 35-44, 45-54, 555-64, 65-74, 75-84, or 85+ years old, who have a diagnosis of hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18--Combi-HMG-C@16:15:07</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 75-84 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 75-84 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 85 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 85 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Combined hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Familial combined hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Familial multiple lipoprotein-type hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Group A hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-0) Pure hypercholesterolemia\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hypercholesterolemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Group B hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-1) Pure hyperglyceridemia\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hyperglyceridemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Group D hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-3) Hyperchylomicronemia\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Hyperchylomicronemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia, combined</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia, Group A</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-0) Pure hypercholesterolemia\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hypercholesterolemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia, Group B</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-1) Pure hyperglyceridemia\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hyperglyceridemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia, Group D</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-3) Hyperchylomicronemia\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Hyperchylomicronemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia NOS</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia, other and unspecified</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Mixed hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Multiple-type hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Other and unspecified hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>HMG-CoA reductase inhibitors</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all patients with a diagnosis of hyperlipidemia, including different types such as Type I, Type II, Type III, Type IV, Type V, and mixed hyperlipidemia, as well as other unspecified hyperlipidemia, and prescriptions for HMG-CoA reductase inhibitors.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18--Combi-HMG-C@16:16:46</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 75-84 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 75-84 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 85 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 85 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Combined hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Familial combined hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Familial multiple lipoprotein-type hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Group A hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-0) Pure hypercholesterolemia\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hypercholesterolemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Group B hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-1) Pure hyperglyceridemia\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hyperglyceridemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Group D hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-3) Hyperchylomicronemia\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Hyperchylomicronemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia, combined</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia, Group A</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-0) Pure hypercholesterolemia\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hypercholesterolemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia, Group B</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-1) Pure hyperglyceridemia\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Pure hyperglyceridemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia, Group D</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-3) Hyperchylomicronemia\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Hyperchylomicronemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia NOS</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia, other and unspecified</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Mixed hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Multiple-type hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Other and unspecified hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>HMG-CoA reductase inhibitors</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients with hyperlipidemia, including Type I, Type IIa, Type IIb, Type III, Type IV, Type V, Type VI, Hyperlipidemia NOS, Mixed hyperlipidemia, Multiple-type hyperlipidemia, and Other and unspecified hyperlipidemia, and also those who have been prescribed HMG-CoA reductase inhibitors, within a specific time range.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Femal-Hyper-DM II@16:20:16</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Hypertensive disease</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>DM II [Diabetes mellitus type II]</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find female patients with a diagnosis of hypertensive disease and type II diabetes mellitus.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Essenti-Diabete@16:07:50</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Essential (primary) hypertension</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Diabetes mellitus (e08-e13)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
```
|
I want to find patients with a diagnosis of Essential (primary) hypertension (ICD10-ICD9: I10) and Diabetes mellitus (ICD10-ICD9: E08-E13) with any timing and 100% accuracy. The specificity scale is set to 0, meaning the results will include all patients with these diagnoses regardless of specificity. The query has two panels, one for each condition, and the total number of occurrences for each item is set to 1. The panels are not inverted, meaning the results will include patients who have both diagnoses.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Femal-Hyper-Diabe@16:20:37</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Hypertensive disease</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find female patients with a diagnosis of hypertensive disease and type II diabetes mellitus, without any specified timing or specificity scale, and with a high accuracy rate.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Femal-HTN [-Diabe@16:39:27</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>HTN [Hypertension]</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find female patients with a diagnosis of essential hypertension and type II diabetes mellitus without mention of complications.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Outpatient visi@22:43:41</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Outpatient visit</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all outpatient visits with any timing and 100% accuracy in the Visit Details panel.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Antiviral agent@21:29:52</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Antiviral agents</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME10) anti-infectives\(LME27) antiviral agents\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ anti-infectives \ antiviral agents</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all instances where a patient has been prescribed antiviral agents for any reason at any point in time.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Femal-Hyper-Diabe@16:41:59</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find female patients with a diagnosis of hypertension and type II diabetes mellitus without mention of complications.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Femal-Hyper-Diabe@16:43:41</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find female patients with a diagnosis of unspecified essential hypertension and type II diabetes mellitus without mention of complication.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Femal-Hyper-Diabe@16:44:41</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>HTN [Hypertension]</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find female patients with a diagnosis of hypertension and type II diabetes mellitus, excluding any complications or unspecified essential hypertension.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Acute p- 18-34@16:49:05</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find patients between the ages of 18-34, 35-44, and 45-54 who have been diagnosed with acute pancreatitis at any time.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Inpatie-Outpati@22:45:37</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Inpatient visit</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Inpatient visit\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Visit type \ Inpatient visit</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Outpatient visit</item_name>
<item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key>
<item_icon>LA</item_icon>
<tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all patients who have had either an inpatient or outpatient visit with any timing, and I want the query to be highly specific, with no inversion applied, and the query is named "Inpatie-Outpati@22:45:37".
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Acute pancreati@16:50:08</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find diagnoses of acute pancreatitis within the ICD-9 and ICD-10 codes related to diseases of the digestive system, specifically those concerning disorders of the gallbladder, biliary tract, and pancreas.
|
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-34-Acute p@16:53:09</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
```
|
I want to find all patients aged between 18 and 64 years old who have been diagnosed with acute pancreatitis.
|
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