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```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>Hormone- 35-44@11:53:02</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>2</hlevel> <item_name>Hormones</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME148) hormones\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ hormones</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>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> </ns4:query_definition> ```
I want to find all patients aged 35-44 years old who have been prescribed hormones.
```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>Reconstruction @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>5</hlevel> <item_name>Reconstruction of external auditory canal</item_name> <item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(18-20) Operations on ear\(p18) Operations on external ear\(p18-6) Reconstruction of externa~\</item_key> <item_icon>LA</item_icon> <tooltip>Procedures \ ICD9 (Inpatient) \ Operations on ear \ Operations on external ear \ Reconstruction of external auditory canal</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who have undergone a procedure for the reconstruction of the external auditory canal in the inpatient setting, as defined by the ICD9 (International Classification of Diseases, 9th Revision) code, within any time frame. This query has a specificity scale of 0 and an accuracy scale of 100, indicating a high level of precision. The panel is labeled as 1 and the invert option is set to 0, meaning that the query will return only positive results that match the specified criteria. The hierarchy level of this query is set to 5, and the class is set to ENC (Encounter). This query is focused on a single item, which is the procedure for reconstructing the external auditory canal.
```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>Femal-HTN [-DM II@02:46:49</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> </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>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> </ns4:query_definition> ```
I want to find female patients with a diagnosis of essential hypertension and type II diabetes mellitus (non-insulin dependent, not stated as uncontrolled, without mention of complication) within the specified 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>Female-HTN [Hy@02:47:08</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>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> <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> </ns4:query_definition> ```
I want to find female patients with a diagnosis of essential hypertension (unspecified) and type II diabetes mellitus (non-insulin dependent, not stated as uncontrolled, without mention of complications) within the i2b2 database.
```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>Femal-HTN [-DM II@02:47:42</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>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>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> </ns4:query_definition> ```
I want to find female patients with a diagnosis of essential hypertension and type II diabetes mellitus without complications, where the diagnosis of diabetes is of non-insulin dependent type and not stated as uncontrolled. The query is designed to retrieve data from the i2b2 Demographics and Diagnoses ontology categories, with specificity set to 100 and timing set to 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>Admit D-Admit D@12:17:30</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>Mental Disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Mental Disorders</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\Mental Disorders (290-319)\%</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>3</hlevel> <item_name>Mental retardation</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\Mental retardation (317-319)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Mental Disorders \ Mental retardation</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\Mental Disorders (290-319)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with an Admit Diagnosis of Mental Disorders (ICD-9 codes 290-319) or Mental Retardation (ICD-9 codes 317-319) at any time in their medical record, with a specificity scale of 0 and accuracy scale of 100.
```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@12:23:05</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>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> </ns4:query_definition> ```
I want to find all patients with a principal diagnosis of endocrine disorders (ICD-9 codes 240-259) in the i2b2 database, with a specificity scale of 0 and a panel accuracy scale of 100, using the query_name "Principal Diagn@12:23:05" and query_timing set to 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-HTN [Hy@02:49:18</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>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> <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> </ns4:query_definition> ```
I want to find female patients with a diagnosis of unspecified essential hypertension (HTN) and those who have been diagnosed with type II diabetes mellitus (DM II). The query will search for these conditions at any time in the patient's medical history and will prioritize accuracy over specificity.
```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-HTN [Hy@02:50:18</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>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> <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> </ns4:query_definition> ```
I want to find female patients with a diagnosis of unspecified essential hypertension and type II diabetes mellitus without mention of complications.
```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>Femal-HTN [-Diabe@02:50:54</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>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> </ns4: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"?> <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>&gt;= 65 years old@13:49:19</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>3</hlevel> <item_name>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are 65 years old or older at any time during their medical record, with a high level of specificity, using the Demographics panel in the i2b2 query builder, and this query will be applied to the Age category with the ">= 65 years old" item selected.
```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>Femal-Hyper-Diabe@08:37:22</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>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> </ns4:query_definition> ```
I want to find female patients with a history of hypertension and type II diabetes mellitus without any complications, with no specific timing constraints.
```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-Diabete@02:52:25</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>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>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> </ns4:query_definition> ```
I want to find female patients with a diagnosis of type II diabetes and hypertension, with no specific time frame restriction and high accuracy.
```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> 35-44-Other a@09:22:32</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>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>3</hlevel> <item_name>Other and unspecified congenital anomalies</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Congenital anomalies (740-759)\(759) Other and unspecified conge~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital anomalies \ Other and unspecified congenital anomalies</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients aged 35-44 years old with a diagnosis of Other and unspecified congenital anomalies.
```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> 35-44-Other a@09:22:46</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>0</panel_accuracy_scale> <invert>1</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>3</hlevel> <item_name>Other and unspecified congenital anomalies</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Congenital anomalies (740-759)\(759) Other and unspecified conge~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital anomalies \ Other and unspecified congenital anomalies</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who are between the ages of 35 and 444 and have been diagnosed with other and unspecified congenital anomalies.
```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>Other a-Male@09:23:09</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>Other and unspecified congenital anomalies</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Congenital anomalies (740-759)\(759) Other and unspecified conge~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Congenital anomalies \ Other and unspecified congenital anomalies</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> </ns4:query_definition> ```
I want to find all male patients with a diagnosis of "Other and unspecified congenital anomalies" in the i2b2 database.
```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>Male-Digesti@09:23:36</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>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> <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> </ns4:query_definition> ```
I want to find all male patients with any diagnoses related to the digestive system.
```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>Male-Digesti@09:23:49</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>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> <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>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> </ns4:query_definition> ```
I want to find all male patients between the ages of 5 and 64 years old with a diagnosis related to the digestive system.
```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> 55-64-Digesti@09:24:12</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> </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> </ns4:query_definition> ```
I want to find patients aged 5-64 years old with any diagnoses related to the digestive system (ICD codes 520-579) recorded in their medical records.
```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> 55--Diges-Male@09:24:33</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> 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>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>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>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> </ns4:query_definition> ```
I want to find male patients aged 5-64 years old with diagnoses related to the digestive system.
```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> 55--Diges-Male@09:24:42</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>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>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>3</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>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> </ns4:query_definition> ```
I want to find male patients aged 5-64 years old with a diagnosis related to the digestive system.
```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) UA-P/C - COLOR Cholesterol (Gr@11:01:54</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <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>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>('AMBER','BROWN','DK-YEL','GREEN','ORANGE','OTHER','RED','STRAW','STRAW CLEAR','STRAW, CLEAR','YELLOW','YELLOW CLEAR','YELLOW CLOUDY','YELLOW HAZY','YELLOW, CLEAR','YELLOW,CLEAR','YELLOW,CLOUDY','YELLOW/CLEAR','YELLOW/HAZY','DK YELL/CLEAR','DK YELL/HZY','DK YELLOW','DK.YELLOW','DK/YELLOW','LT YELL/CLEAR','STRAW/CLEAR','YELL/CLDY','YELL/CLEAR','YELL/CLR','YELL/HZY')</value_constraint> <value_type>TEXT</value_type> </constrain_by_value> <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>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>199</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> </subquery> </ns4:query_definition> ```
I want to find patients who have had a urine analysis with a color result of AMBER, BROWN, DK-YELLOW, GREEN, ORANGE, OTHER, RED, STRAW, STRAW CLEAR, YELLOW, YELLOW CLEAR, YELLOW HAZY, YELLOW/CLEAR, DK YELLOW, LT YELL/CLEAR, YELL/CLEAR, YELL/CLR, or YELL/HZY (UA-P/C - COLOR) at the same instance number as their most recent cholesterol test (CHOL) that was greater than or equal to 19 mg/dl.
```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>Admit Diagnosis@11:58:13</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>Mental Disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Mental Disorders</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\Mental Disorders (290-319)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with an Admit Diagnosis of Mental Disorders (ICD-9 codes 290-319) in the i2b2 database using the 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>Admit D-Admit D@12:15:33</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>2</hlevel> <item_name>Mental Disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Mental Disorders</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\Mental Disorders (290-319)\%</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>3</hlevel> <item_name>Mental retardation</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\Mental retardation (317-319)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Mental Disorders \ Mental retardation</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\Mental Disorders (290-319)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who have an admit diagnosis of mental disorders, specifically mental retardation, within the range of ICD-9 codes 290-319, with a specificity scale of 0 and a high accuracy scale of 100. The query should look for any occurrence of this diagnosis in the patient's medical record, and it should not be inverted. The query should display the results in two panels, with the first panel focusing on mental disorders and the second panel focusing on mental retardation as a subcategory.
```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>Admit D-Admit D@12:15:39</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>2</hlevel> <item_name>Mental Disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Mental Disorders</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\Mental Disorders (290-319)\%</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>3</hlevel> <item_name>Mental retardation</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\Mental retardation (317-319)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Mental Disorders \ Mental retardation</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\Mental Disorders (290-319)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who have been admitted with a diagnosis of mental disorders, specifically mental retardation, as their primary diagnosis.
```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>Admit D-Admit D@12:17:15</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>Mental Disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Mental Disorders</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\Mental Disorders (290-319)\%</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>3</hlevel> <item_name>Mental retardation</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\Mental retardation (317-319)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Mental Disorders \ Mental retardation</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\Mental Disorders (290-319)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with a diagnosis of mental disorders (ICD-9 codes 290-319) with a specific focus on mental retardation (ICD-9 codes 317-319) as an admission diagnosis, regardless of when the diagnosis was made.
```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>Mixed h- 18-34@17:23:51</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>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>FA</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>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> <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> <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> 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>&gt;= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 85 years old</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 Mixed hyperlipidemia or Other and unspecified hyperlipidemia, aged between 18-34, 35-44, 45-54, 555-64, or 65-74, or 75 and above years old.
```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>Femal-Diabe-Hyper@07:31:51</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>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>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-90) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}cified type, not stated as uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <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, uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-92) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}type] or unspecified type, uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <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, uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-42) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}set type] or unspecified type, uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-40) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}nspecified type, not stated as uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-70) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype, not stated as uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <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, uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-72) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} unspecified type, uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-80) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} type, not stated as uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <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, uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-82) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}or unspecified type, uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <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, 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\(250-3) Diabetes with other coma\(250-30) Diabetes mellitus, type ~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}pe] [adult-onset type] or unspecified type, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus with other coma, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-32) Diabetes mellitus with o~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus with other coma, type II [non-in{..}ype] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-50) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ified type, not stated as uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <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, uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-52) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype] or unspecified type, uncontrolled, with ophthalmic manifestations</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>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> </ns4:query_definition> ```
I want to find patients with type 2 diabetes (non-insulin dependent, NIDDM, or adult-onset), uncontrolled or not, with or without coma, with or without ophthalmic manifestations, or unspecified type, along with hypertensive disease.
```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> 75-84 years o@13:49:30</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>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> </panel> </ns4:query_definition> ```
I want to find patients who are between the ages of 75 and 84 years old, with any timing, and with a specificity scale of 0, using the Demographics panel, under the Age category, with a total of 1 item occurrence, and with an invert value of 0. The query is named "75-84 years o@13:49:30" and has a specificity scale of 0, indicating that the results will be broad.
```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> 55-64 years o@13:49:40</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> 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> </ns4:query_definition> ```
I want to find all patients aged 5-64 years old, with any timing and specificity scale set to 0, using the i2b2 query builder with a panel number of 1, accuracy scale set to 10, and the query name labeled as "5-64 years o@13:49:40".
```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> 55-64-Circula@14:06:39</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> 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>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> </ns4:query_definition> ```
I want to find patients aged 5-64 years old with diagnoses related to the circulatory system (ICD codes 390-459) in the i2b2 database.
```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> 55-64-Circula@14:06:46</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>1</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>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> </ns4:query_definition> ```
I want to find all patients aged 5-64 years old with any diagnosis related to the circulatory system (ICD-9 codes 390-459).
```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>Femal-Diabe-Hyper@08:38:18</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>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>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> <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>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> </ns4:query_definition> ```
I want to find female patients with a diagnosis of type II diabetes mellitus and unspecified essential hypertension, with no specific time frame or accuracy scale specified.
```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>UA-P/C - COLOR @13:43:06</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>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>('RED')</value_constraint> <value_type>TEXT</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```
I want to find all instances of urine analysis (UA) color results with a value of 'RED' as indicated by the LOINC code 578-6, with a high level of specificity (5), and any timing. This query will search for the UA-P/C - COLOR test in the Labtests category and return results where the color is specifically 'RED'. The query is not a synonym and has a 100% accuracy scale.
```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>Circulatory sys@14:06:58</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> </ns4:query_definition> ```
I want to find all diagnoses related to the circulatory system (ICD codes 390-459) with a specificity scale of 0, accuracy scale of 100, and a panel timing of 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>Circula-Common @14:07:35</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>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>3</hlevel> <item_name>Common Law</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Marital Status\Common Law\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Marital Status \ Common Law</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with diagnoses related to the circulatory system (ICD codes 390-459) and a marital status of common law.
```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>Femal-Hyper-Diabe@08:23:16</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>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> </ns4:query_definition> ```
I want to find female patients with a diagnosis of hypertension and type II diabetes mellitus (non-insulin dependent, not stated as uncontrolled, without mention of complication) at any time.
```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>Mixed hyperlipi@17:23:59</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>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>FA</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>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> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of mixed hyperlipidemia or other unspecified hyperlipidemia, using the ICD-9-CM codes 272.4 and 272.2, within the Diagnoses category of Metabolic and immunity disorders.
```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> 18-34-Acute p@08:50:08</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> 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> </ns4:query_definition> ```
I want to find patients who are between the ages of 18-34, 35-44, and 45-54, and have 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>&gt;= 85 y-Hyperli@08:53:53</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>&gt;= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 85 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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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> 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> 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> 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> 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>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> </ns4:query_definition> ```
I want to find patients who are 65 years or older with a diagnosis of hyperlipidemia.
```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> 18-34-Acute p@09:02:36</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>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> </ns4:query_definition> ```
I want to find patients aged between 18-34 years, 35-44 years, or 45-54 years with an encounter 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>Mixed h- 0-9 y@17:24:09</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>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>FA</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>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> <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> 0-9 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 10-17 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\10-17 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 10-17 years old</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 mixed hyperlipidemia or other unspecified hyperlipidemia who are between the ages of 0 and 17 years old.
```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>Admit Diagnosis@11:14:38</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>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_modifier> <modifier_name>Admit Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</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 circulatory system (ICD codes 390-459) that were recorded as the admit diagnosis during any time period, with a specificity scale of 0 and a panel accuracy scale of 100, and the panel number and total item occurrences are both set to 1. The query will not be inverted and there is only one item in the panel. The class is ENC and the item is not a synonym.
```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>Femal-Hyper-Diabe@09:04:18</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>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> </ns4:query_definition> ```
I want to find female patients with a diagnosis of unspecified essential hypertension and type II diabetes mellitus without mention of complication, with no specific timing or accuracy requirements.
```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>Certain conditi@13:30:46</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>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> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all diagnoses related to certain conditions that originated in the perinatal period, specifically codes P0-P96 in the ICD-10 and ICD-9 classification systems.
```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 pancreati@12:26:20</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> </ns4:query_definition> ```
I want to find patients with a diagnosis of acute pancreatitis using the ICD-10-ICD-9 code range K00-K94 for diseases of the digestive system, specifically within the subcategory K80-K87 for disorders of the gallbladder, biliary tract, and pancreas, and within that subcategory, focusing on the code K85 for 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>Femal-Pre-e-Hyper@11:09:53</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>Pre-existing diabetes mellitus, type 2, in pregnancy, childbirth and the puerperium</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29) \ Diabetes mellitus in pregnancy, childbirth, and the puerperium \ Pre-existing diabetes mellitus, type 2, in pregnancy, childbirth and the puerperium</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>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> </ns4:query_definition> ```
I want to find female patients with a history of pre-existing type 2 diabetes mellitus during pregnancy, childbirth, or the puerperium, as well as those diagnosed with unspecified essential hypertension.
```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>Femal-Hyper-Pre-e@11:13:13</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>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>4</hlevel> <item_name>Pre-existing diabetes mellitus, type 2, in pregnancy, childbirth and the puerperium</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(O00-O99) Preg~e5ik\(O20-O29) Othe~2ok2\(O24) Diabetes~a3ox\(O24.1) Pre-ex~qs2i\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Pregnancy, childbirth and the puerperium (o00-o99) \ Other maternal disorders predominantly related to pregnancy (o20-o29) \ Diabetes mellitus in pregnancy, childbirth, and the puerperium \ Pre-existing diabetes mellitus, type 2, in pregnancy, childbirth and the puerperium</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find female patients with a diagnosis of unspecified essential hypertension and pre-existing type 2 diabetes mellitus during pregnancy, childbirth, or the puerperium, with no specific timing requirements.
```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> 18-34 years o@15:14:33</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>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> </ns4:query_definition> ```
I want to find patients who are between the ages of 18 and 64 years old, grouped into the following age ranges: 18-34 years old, 35-44 years old, and 45-54 years old. This query will display the demographic information of patients within these age groups, allowing for a more specific analysis of their medical data.
```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 pancreati@12:26:30</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>4</hlevel> <item_name>Acute pancreatitis, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</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 \ Acute pancreatitis, unspecified</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 acute pancreatitis, unspecified, within any timeframe, using the ICD-10 or ICD-9 coding system, under the category of diseases of the digestive system, specifically disorders of the gallbladder, biliary tract, and pancreas, with a high accuracy scale of 100 and a specificity scale of 0, with the query being named "Acute pancreati@12:26:30" and panel number 1.
```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> 18-60-Acute p@12:10:59</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> 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> 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> </ns4:query_definition> ```
I want to find patients aged 0-17 years old, 18-24 years old, 25-34 years old, 35-44 years old, 45-54 years old, 555-64 years old, and 65 years old and above, with diagnoses 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>Acute pancreati@12:21:27</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>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> </ns4:query_definition> ```
I want to find all instances of acute pancreatitis diagnoses in the ICD-10 and ICD-9 coding systems, specifically within the category of diseases of the digestive system, and more specifically, disorders of the gallbladder, biliary tract, and pancreas. The specificity scale is set to 0, meaning that all occurrences of this condition will be included, regardless of specificity. The query timing is set to ANY, meaning that the search will include all available time periods. The accuracy scale is set to 100, indicating a high level of accuracy is desired, and the panel number and total item occurrences are both set to 1, indicating a single panel with one item being queried. The query is named "Acute pancreati@12:27" and the icon used is FA. The tooltip provided gives additional information about the query, indicating that it is looking for acute pancreatitis within the categories mentioned. The class of the query is ENC, which stands for 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>Acute pancreati@12:22:02</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>4</hlevel> <item_name>Acute pancreatitis, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</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 \ Acute pancreatitis, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with a diagnosis of acute pancreatitis, unspecified, at any time, with a specificity scale of 0 and an accuracy scale of 100, using the ICD10_ICD9 coding system, and the query should be named "Acute pancreati@12:22:02".
```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>Mixed- 0-9-HMG-C@17:24:27</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>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>FA</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>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> <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>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 0-9 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 10-17 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\10-17 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 10-17 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>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> </ns4:query_definition> ```
I want to find patients aged 0-17 years old who have been diagnosed with mixed hyperlipidemia or other unspecified hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors.
```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 (recurren@12:26:36</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>3</hlevel> <item_name>acute (recurrent) 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 (recurrent) pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all instances of acute (recurrent) pancreatitis diagnoses within the ICD-10 and ICD-9 coding systems, specifically under the category of diseases of the digestive system (k0-k94) and disorders of the gallbladder, biliary tract, and pancreas (k80-k87) with a specificity scale of 0, any timing, and an accuracy scale of 100.
```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 pancreati@12:26:57</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>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> </ns4:query_definition> ```
I want to find diagnoses related to diseases of the digestive system, specifically focusing on disorders of the gallbladder, biliary tract, and pancreas, with an emphasis on acute pancreatitis. The query will search for any occurrences of these conditions, regardless of the timing, and has a specificity scale of 0, meaning it will return all results without filtering for specificity. The accuracy scale is set to 100, indicating high confidence in the results. This query is part of a panel with a panel number of 1, and the total number of items in the panel is 1. The icon used for this query is FA, and the class is set to ENC.
```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@12:28:33</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>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> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key> <applied_path>\Diagnoses\(K00-K94) Dise~rl1r\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all cases where the principal diagnosis is acute pancreatitis (ICD-9 code 5777.0), within the range of diseases of the digestive system (ICD-9 codes K00-K94), specifically disorders of the gallbladder, biliary tract, and pancreas (ICD-9 codes K80-K87), with a specificity scale of 0 and an accuracy scale of 100, regardless of the timing.
```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@17:25:13</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>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> </ns4:query_definition> ```
I want to find all female patients in the database with no specific timing or accuracy constraints, using the Demographics panel in the i2b2 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>UA-P/C - COLOR @13:43:11</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>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>('RED')</value_constraint> <value_type>TEXT</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```
I want to find all instances of urine color test results (LOINC: 578-6) that have the value 'RED' in the i2b2 database.
```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>Disea-Disea-Exter@12:46:52</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>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>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99)</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>1</hlevel> <item_name>Diseases of the respiratory system (j00-j99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99)</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>External causes of morbidity (v00-y99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ External causes of morbidity (v00-y99)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find diagnoses related to diseases of the nervous system (ICD-10 codes G0-G9), diseases of the respiratory system (ICD-10 codes J0-J9), and external causes of morbidity (ICD-10 codes V0-Y9) with an accuracy scale of 100 and no specific timing or panel inversion.
```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@12:30:56</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>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> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key> <applied_path>\Diagnoses\(K00-K94) Dise~rl1r\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with a principal diagnosis of acute pancreatitis in the Diagnoses section of their medical records, categorized under Diseases of the Digestive System (ICD-10 code K0-K94) and specifically under Disorders of Gallbladder, Biliary Tract, and Pancreas (ICD-9 code K80-K87) with a specificity scale of 0, meaning any occurrence, and an accuracy scale of 100.
```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 pancreati@12:32:42</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>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> </ns4:query_definition> ```
I want to find all patients with a diagnosis of acute pancreatitis in the i2b2 database using the Diagnoses panel, with the specificity set to 0, accuracy set to 100, and the query timing set to ANY. The diagnosis code used is (570-579) Diseases of pancreas, (57-0) 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>Hyperlipidemia@12:33:03</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>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> </ns4:query_definition> ```
I want to find all patients with a diagnosis of hyperlipidemia (other and unspecified types) in the i2b2 database using the query builder xml.
```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>Hyperli-HMG-CoA@12:34:21</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>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>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>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> </ns4:query_definition> ```
I want to find patients who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors at any time in their medical history.
```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>Albut-Alleg-Flona@11:31:24</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>6</hlevel> <item_name>Albuterol Sulfate 4mg tablet ESI Lederle Generics</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME219) respiratory agents\(LME223) bronchodilators\(LME224) adrenergic bronchodilators\albuterol\00005306343\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ respiratory agents \ bronchodilators \ adrenergic bronchodilators \ albuterol \ albuterol sulfate 4mg tablet esi lederle generics</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Albuterol</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME219) respiratory agents\(LME223) bronchodilators\(LME224) adrenergic bronchodilators\albuterol\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ respiratory agents \ bronchodilators \ adrenergic bronchodilators \ albuterol</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Dose</modifier_name> <modifier_key>\\i2b2_MEDS\Medication\Dose\</modifier_key> <applied_path>\i2b2\Medications\MUL\(LME219) respiratory agents\(LME223) bronchodilators\(LME224) adrenergic bronchodilators\albuterol\%</applied_path> <constrain_by_value> <value_operator>EQ</value_operator> <value_constraint>4</value_constraint> <value_unit_of_measure>mg</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> </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>Allegra 180mg tablet extended release Aventis Pharmaceuticals</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME219) respiratory agents\(LME221) antihistamines\fexofenadine\00088110947\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ respiratory agents \ antihistamines \ fexofenadine \ allegra 180mg tablet extended release aventis pharmaceuticals</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>5</hlevel> <item_name>Allegra 180mg tablet extended release Aventis Pharmaceuticals</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME219) respiratory agents\(LME221) antihistamines\fexofenadine\00088110947\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ respiratory agents \ antihistamines \ fexofenadine \ allegra 180mg tablet extended release aventis pharmaceuticals</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Dose</modifier_name> <modifier_key>\\i2b2_MEDS\Medication\Dose\</modifier_key> <applied_path>\i2b2\Medications\MUL\(LME219) respiratory agents\(LME221) antihistamines\fexofenadine\00088110947\%</applied_path> <constrain_by_value> <value_operator>EQ</value_operator> <value_constraint>180</value_constraint> <value_unit_of_measure>mg</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> </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>6</hlevel> <item_name>Flonase 0.05 mg/inh spray Glaxo Wellcome</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME234) topical agents\(LME247) nasal preparations\(LME250) nasal steroids\fluticasone nasal\00173045301\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ topical agents \ nasal preparations \ nasal steroids \ fluticasone nasal \ flonase 0.05 mg/inh spray glaxo wellcome</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Flonase 0.05 mg/inh spray Glaxo Wellcome</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME234) topical agents\(LME247) nasal preparations\(LME250) nasal steroids\fluticasone nasal\00173045301\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ topical agents \ nasal preparations \ nasal steroids \ fluticasone nasal \ flonase 0.05 mg/inh spray glaxo wellcome</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Dose</modifier_name> <modifier_key>\\i2b2_MEDS\Medication\Dose\</modifier_key> <applied_path>\i2b2\Medications\MUL\(LME234) topical agents\(LME247) nasal preparations\(LME250) nasal steroids\fluticasone nasal\%</applied_path> <constrain_by_value> <value_operator>EQ</value_operator> <value_constraint>0.1</value_constraint> <value_unit_of_measure>mg</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who have used Albuterol 4mg inhalation solution (GlaxoSmithKline) or Allegra 180mg tablet extended release (Aventis Pharmaceuticals) or Flonase 0.05 mg/inh spray (Glaxo Wellcome) for respiratory, antihistamine, or nasal steroid medications, respectively.
```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>HGB A1C (LOINC:@12:35:20</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> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all instances of Hgb A1C (LOINC:4548-4) lab test results within the i2b2 database, with no specific time constraint, and with a high level of accuracy, grouped under the category of Chemistry in the Hemoglobin section. The query will specifically search for the Hgb A1C (LOINC:4548-4) lab test code, and the results will be displayed on panel 1. The query has a specificity scale of 0 and an invert value of 0, indicating that the search will include all relevant data without inverting any results. The total number of items to be displayed is 1, and the class of the item is ENC. The tooltip provides additional information about the query, indicating that it will search for the Hgb A1C (LOINC:4548-4) test within the Labtests, Chemistry, Hemoglobin, and GHBA1C groups.
```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>Hyperli-HMG-CoA@12:36:43</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)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> </ns4:query_definition> ```
I want to find all instances of the query named "Hyperli-HMG-CoA@12:36:43" with any timing, specificity scale set to 0, and panel number 1, with a total of 1 item occurrence. The panel has an accuracy scale of 100, and is not inverted. The item is named "(PrevQuery)Hyperli-HMG-CoA@12:34:21 [1-24-2018] [demo]" with a key of "masterid:89" and is not a synonym.
```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> 18-34-Living@13:14:56</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> 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>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> </ns4:query_definition> ```
I want to find patients aged 18-34 years old, 35-44 years old, or 5-64 years old with specific age groups (5, 6, 7, 8, 9, 60 years old) who are currently living.
```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> 18-34-Living@13:15:26</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>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>SAMEVISIT</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> </ns4:query_definition> ```
I want to find patients aged between 18 and 64 years old who are living.
```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> 65-74 years o@17:29:38</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>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> </panel> </ns4:query_definition> ```
I want to find patients who are between the ages of 65 and 74 years old, with no specific time constraint, 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>Disea-Disea-Exter@12:47:40</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>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>FA</item_icon> <tooltip>Diagnoses \ Diseases of the nervous system (g00-g99)</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>1</hlevel> <item_name>Diseases of the respiratory system (j00-j99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99)</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>External causes of morbidity (v00-y99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ External causes of morbidity (v00-y99)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all diagnoses related to diseases of the nervous system (ICD10/ICD9 codes G0-G9), diseases of the respiratory system (ICD10/ICD9 codes J0-J9), and external causes of morbidity (ICD10/ICD9 codes V0-Y9) with a specificity scale of 0 and accuracy scale of 100, without considering the timing of the diagnosis.
```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>query 2 [1-24-2@12:37:32</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>0</hlevel> <item_name>(PrevQuery)query 2 [1-24-2018] [demo]</item_name> <item_key>masterid:74</item_key> <tooltip>query 2 [1-24-2018] [demo]</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who have had any encounter with the query "query 2 [1-24-2018] [demo]" at any time (ANY timing) with a specificity scale of 0, a panel accuracy scale of 100, and the panel inverted set to 0, within the context of a panel named "query 2 [1-24-2@12:37:32" with only one item occurring, and that item being the previous query named "query 2 [1-24-2018] [demo]", with a hlevel of 0, and the query not being a synonym.
```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>Hyperli-HMG-CoA@12:37:46</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>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> </ns4:query_definition> ```
I want to find a query that searches for patients with a specific blood test result called "Hyperli-HMG-CoA" with a time range of 12:37:46 and a specificity scale of 0, which means it will return all patients regardless of specificity, and the panel timing is set to ANY, meaning it will search for any time frame. The accuracy scale is set to 100, indicating a high level of accuracy. The query includes only one item, which is a previous query named "Hyperli-HMG-CoA@12:34:21 [1-24-2018] [demo]", and it is not a synonym. This query is part of a panel with panel number 1 and panel timing set to ANY, meaning it will search for any time frame. The total number of items in the panel is 1.
```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> 18--Livin-Acute@13:30:01</query_name> <query_timing>SAMEVISIT</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> <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>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>3</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>1</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> </ns4:query_definition> ```
I want to find encounters where the patient is between 50 and 64 years old, is currently living, 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> 18-34 years o@13:32:09</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> </panel> </ns4:query_definition> ```
I want to find patients between the ages of 18 and 34 years old with any timing and specificity scale set to 0, using a panel with 100 accuracy scale and no inversion, with a total of 1 item occurrence, focusing on the demographics category of age within 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>Hyperte-Diabete@14:21:16</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>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>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> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitustype II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, 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~\(250-22) Diabetes mellitustype II~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitustype II [non-insulin dependent ty{..}ult-onset type] or unspecified type with hyperosmolarity, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, without mention of complication</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> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, without mention of complication</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~\(250-02) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-10) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, not stated as uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-12) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-60) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ied type, not stated as uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <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, uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-62) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}e] or unspecified type, uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-50) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ified type, not stated as uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <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, uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-52) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype] or unspecified type, uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <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, 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\(250-3) Diabetes with other coma\(250-30) Diabetes mellitus, type ~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}pe] [adult-onset type] or unspecified type, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus with other coma, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-32) Diabetes mellitus with o~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus with other coma, type II [non-in{..}ype] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-80) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} type, not stated as uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <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, uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-82) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}or unspecified type, uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-80) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} type, not stated as uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-70) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype, not stated as uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <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, uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-72) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} unspecified type, uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-40) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}nspecified type, not stated as uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <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, uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-42) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}set type] or unspecified type, uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-90) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}cified type, not stated as uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <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, uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-92) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}type] or unspecified type, uncontrolled, with unspecified complication</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> </ns4:query_definition> ```
I want to find patients with diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, without mention of complication, with peripheral circulatory disorders, with renal manifestations, or with unspecified complication, or type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, without mention of complication.
```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>Femal-Hyper-Diabe@17:43:50</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>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>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> </ns4:query_definition> ```
I want to find female patients with a diagnosis of hypertensive disease and type II diabetes mellitus, without any specified complications, within the i2b2 database.
```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> 0-9 years old@12:40:08</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> 0-9 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 10-17 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\10-17 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 10-17 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients aged 0-17 years old with any demographic information recorded in the i2b2 database.
```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> 0-9 years old@12:40:18</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>3</hlevel> <item_name> 0-9 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 10-17 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\10-17 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 10-17 years old</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> </panel> </ns4:query_definition> ```
I want to find patients aged 0-9 years old, 10-17 years old, 18-34 years old, and 35-44 years old, with any timing and a specificity scale of 0, and with a panel accuracy scale of 100. The query will be applied to the Demographics category in the Age group, and the panel will include the specified age ranges.
```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>Princip- 18-34@12:45:06</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> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key> <applied_path>\Diagnoses\(K00-K94) Dise~rl1r\%</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>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> </ns4:query_definition> ```
I want to find patients aged 18-34, 35-44, and 45-54 years old, who have been diagnosed with acute pancreatitis (ICD10 code K85.0-K85.9) within any time period, and their age is broken down into specific years from 5 to 60 years old.
```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-Hyperte@12:49:55</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>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> </ns4:query_definition> ```
I want to find all female patients with a diagnosis of unspecified essential hypertension 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>UA-P/C -65 year@13:43:28</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>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>('RED')</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>65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\65 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old \ 65 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 have had a urinalysis test with a result of red color (LOINC:578-6) and are 65 years old.
```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> 0-9 years old@12:40:29</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> 0-9 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 10-17 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\10-17 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 10-17 years old</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> </panel> </ns4:query_definition> ```
I want to find patients aged 0-9 years old, 10-17 years old, 18-34 years old, and 35-44 years old, and 45-54 years old. This query will return results for patients within these age ranges. The query is set to have any timing and has a specificity scale of 0, indicating a broad search. The panel contains items related to demographics and age, with each item having a specific age range. The class is set to ENC, which stands for Encounter, indicating that the age is recorded during an encounter with the patient.
```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> 18--Hyper-HMG-C@12:42:28</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>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 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> </ns4:query_definition> ```
I want to find patients who are 18-65 years old and have been diagnosed with hyperlipidemia, and have been prescribed HMG-CoA reductase inhibitors at any time.
```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-Hyperte@17:44:04</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>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> </ns4:query_definition> ```
I want to find female patients with a diagnosis of hypertensive disease.
```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>Certain infecti@11:53:27</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>1</hlevel> <item_name>Certain infectious and parasitic diseases (a00-b99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with diagnoses related to certain infectious and parasitic diseases (ICD-10 codes A0-B9) in the i2b2 database, with any timing, using a specificity scale of 0 and an accuracy scale of 100, and the panel number and total item occurrences set to 1, with no inversion applied.
```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>Femal-Hyper-Diabe@12:51:11</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> </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> </ns4:query_definition> ```
I want to find female patients with a diagnosis of unspecified essential hypertension and type II diabetes mellitus (non-insulin dependent, not stated as uncontrolled, without mention of complication) at any time.
```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>query 2 [1-24-2@12:56:15</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)query 2 [1-24-2018] [demo]</item_name> <item_key>masterid:74</item_key> <tooltip>query 2 [1-24-2018] [demo]</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with any diagnosis or procedure that occurred on any date and time, using a panel with a specificity scale of 0, accuracy scale of 100, and panel timing of ANY, with the panel containing only one item, which is a synonym for the previous query "query 2 [1-24-2018] [demo]", with an invert value of 0, and the query named "query 2 [1-24-201@12:56:15".
```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> 18--Livin-Acute@13:26:31</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>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>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> </ns4:query_definition> ```
I want to find patients who are between the ages of 35 and 64, are currently living, and have 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> 18-34 years o@13:33:17</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>1</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> </panel> </ns4:query_definition> ```
I want to find patients aged between 18-34 years old and 35-44 years old with any timing and 100% accuracy scale, excluding the inverted age group (35-44 years old) in the analysis panel.
```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> 18-34-Living@13:36:06</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>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> </ns4:query_definition> ```
I want to find patients between the ages of 18-34 years old, 35-44 years old, and 5-64 years old who are living.
```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> 18--Livin-Acute@13:27:17</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>1</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>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>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>1</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> </ns4:query_definition> ```
I want to find patients who are living, between the ages of 35-64, and have been diagnosed with acute pancreatitis at any point in time.
```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> 18--Livin-Acute@13:27:44</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> 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>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>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>1</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> </ns4:query_definition> ```
I want to find patients with a diagnosis of acute pancreatitis who are between the ages of 35 and 64 years old and are currently living.
```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> 18--Livin-Acute@13:29:08</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>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>SAMEVISIT</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>3</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>1</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> </ns4:query_definition> ```
I want to find encounters where patients are 18-24 years old, 25-34 years old, 35-44 years old, 45-54 years old, or 5-64 years old with a diagnosis of acute pancreatitis and vital status is living. The age range is broken down into 5-year increments starting from 5 years old up to 60 years old, and the query is looking for encounters that occurred during the same visit.
```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> 18--Livin-Acute@13:29:43</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>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> <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>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>3</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>1</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> </ns4:query_definition> ```
I want to find encounters where the patient is 555-64 years old, alive, 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>Hormone- 35-44@12:37:22</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>Hormones</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME148) hormones\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ hormones</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> </ns4:query_definition> ```
I want to find patients who have been prescribed hormones and are between the ages of 35-44 years old.
```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> 18-34 years o@13:32:19</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>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> </panel> </ns4:query_definition> ```
I want to find patients aged between 18 and 34 years old, and also include those aged between 35 and 444 years old in the query.
```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> 18-34 years o@13:32:32</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>1</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> </panel> </ns4:query_definition> ```
I want to find patients between the ages of 18 and 34 years old or 35 and 444 years old, with an accuracy scale of 100, and the query timing set to ANY. This query will include two panels, with each panel having only one item that represents the specified age ranges. The specificity scale is set to 0, meaning that the query will return all patients within the specified age ranges, regardless of how specific the information is. The panel timing is also set to ANY, indicating that the query should include all available time points for the patient's age.
```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> 18-34 years o@13:33:07</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> </panel> </ns4:query_definition> ```
I want to find patients between the ages of 18 and 34 years old or 35 and 444 years old, with no specific time constraint, using the i2b2 query builder and the demographics panel. The search will have a high level of accuracy and the query will not be inverted.
```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>Femal-Hyper-Diabe@17:45:46</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>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>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>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, 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\(250-3) Diabetes with other coma\(250-30) Diabetes mellitus, type ~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}pe] [adult-onset type] or unspecified type, not stated as uncontrolled</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-60) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ied type, not stated as uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-50) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ified type, not stated as uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-80) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} type, not stated as uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-70) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype, not stated as uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-40) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}nspecified type, not stated as uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <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, not stated as uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-90) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}cified type, not stated as uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <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, uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-62) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}e] or unspecified type, uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <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, uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-52) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype] or unspecified type, uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <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, uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-82) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}or unspecified type, uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <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, uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-72) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} unspecified type, uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <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, uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-42) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}set type] or unspecified type, uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <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, uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-92) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}type] or unspecified type, uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <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>LA</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> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitustype II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, 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~\(250-22) Diabetes mellitustype II~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitustype II [non-insulin dependent ty{..}ult-onset type] or unspecified type with hyperosmolarity, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus with other coma, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-32) Diabetes mellitus with o~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus with other coma, type II [non-in{..}ype] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-10) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, not stated as uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, without mention of complication</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>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-12) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, without mention of complication</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~\(250-02) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <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> </ns4:query_definition> ```
I want to find patients with type II diabetes mellitus, also known as non-insulin dependent type, NIDDM type, or adult-onset type, with or without complications, including uncontrolled cases, ketoacidosis, or without mention of complications.