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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>Princip- 35-44@13:37:50</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>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>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>19 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\19 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 19 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>20 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\20 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 20 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>21 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\21 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 21 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>22 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\22 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 22 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>23 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\23 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 23 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>24 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\24 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 24 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>25 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\25 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 25 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>26 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\26 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 26 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>27 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\27 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 27 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>28 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\28 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 28 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>29 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\29 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 29 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>30 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\30 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 30 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>31 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\31 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 31 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>32 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\32 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 32 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>33 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\33 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 33 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\34 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all the demographic information related to age between 18 and 34 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>(t) Hypertensive diDose@11:14:46</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Observation B</query_id>
<query_type>EVENT</query_type>
<query_name>Observation B</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>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>
</subquery>
<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>Acebutolol</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\acebutolol\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ cardiovascular agents \ beta-adrenergic blocking agents \ cardioselective beta blockers \ acebutolol</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\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\acebutolol\%</applied_path>
<constrain_by_value>
<value_operator>LT</value_operator>
<value_constraint>1000</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>
<item>
<hlevel>5</hlevel>
<item_name>Atenolol</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\atenolol\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ cardiovascular agents \ beta-adrenergic blocking agents \ cardioselective beta blockers \ atenolol</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\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\atenolol\%</applied_path>
<constrain_by_value>
<value_operator>LT</value_operator>
<value_constraint>1000</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>
<item>
<hlevel>5</hlevel>
<item_name>Betaxolol</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\betaxolol\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ cardiovascular agents \ beta-adrenergic blocking agents \ cardioselective beta blockers \ betaxolol</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\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\betaxolol\%</applied_path>
<constrain_by_value>
<value_operator>LT</value_operator>
<value_constraint>1000</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>
<item>
<hlevel>5</hlevel>
<item_name>Bisoprolol</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\bisoprolol\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ cardiovascular agents \ beta-adrenergic blocking agents \ cardioselective beta blockers \ bisoprolol</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\(LME68) cardiovascular agents\(LME77) beta-adrenergic blocking agents\(LME78) cardioselective beta blockers\bisoprolol\%</applied_path>
<constrain_by_value>
<value_operator>LT</value_operator>
<value_constraint>1000</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>
</subquery>
</ns4:query_definition>
``` |
I want to find all medications related to cardiovascular agents, specifically focusing on beta-adrenergic blocking agents and cardioselective beta blockers, including Acebutololol, Atenol, Betaxol, and Bisoprolol, with dosage less than or equal to 1000 mg. |
```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@11:19:38</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>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of "Acute pancreatitis" as a principal diagnosis within the Digestive System category in the i2b2 data repository. |
```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@13:35:27</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</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 aged 18-64 years old who 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>Femal-Hyper-Diabe@13:37:18</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>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) 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>Labor-Femal-Medic@14:58:01</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Laboratory Tests</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Medications</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\</item_key>
<item_icon>FA</item_icon>
<tooltip>Medications</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all female patients who have had laboratory tests and have been prescribed medications 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>Hormone- 35-44@18:04:32</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>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--Acute-Livin@13:33:53</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> 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>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>
<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>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 encounters where the patient is 5 years old, 56 years old, 57 years old, 58 years old, 59 years old, 60 years old, or between the ages of 35-44 or 45-54, and has a diagnosis of acute pancreatitis, unspecified, with vital status indicating the patient is 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>Femal-Hyper-Diabe@13:46:07</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>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 without any complications. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-34 years o@23:18:40</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> 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>>= 85 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 85 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia NOS</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>HMG-CoA reductase inhibitors</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients who are between the ages of 18-84 years old and have been diagnosed with hyperlipidemia, and have been prescribed HMG-CoA reductase inhibitors as treatment. |
```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-Circula@16:39:37</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>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>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 male patients with any diagnoses related to the circulatory system (ICD codes 390-459) recorded 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>Femal-Hyper-Diabe@13:40:10</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>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. |
```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>Diabete-Female@13:42:42</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>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>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find female patients with a diagnosis of type II diabetes and a history of 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>Diabe-Femal-Hyper@13:43:07</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>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>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>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 all female patients with a diagnosis of type II diabetes mellitus and a history of hypertension 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>Hormone- 35-44@11:32:50</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>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>53 ye-Male-Neuro@08:25:36</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>53 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\53 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old \ 53 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Male</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Male</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic Disorders</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find a 53-year-old male patient with neurological disorders 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>Diabete-Female@13:43:25</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>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>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find female patients with a diagnosis of type II diabetes and 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> 0-9 years old@14:11:21</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>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>
</panel>
</ns4:query_definition>
``` |
I want to find patients who are 0-9 years old at the time of the encounter, using the i2b2 query builder and specifying the demographics age category with the age range of 0-9 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@14:11:34</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>
</panel>
</ns4:query_definition>
``` |
I want to find patients who are 0-9 years old, with any timing, using the Demographics panel and the Age node, with a specificity scale of 0, 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>Livin- 18--Princ@15:38:32</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with the principal diagnosis of acute pancreatitis, who are between the ages of 18-64 years old. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 0-9 years old@23:23:44</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> 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>
<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>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all patients aged 0-9 years old, 10-17 years old, 18-34 years old, 35-44 years old, 5 years old, 56 years old, 57 years old, 59 years old, and 60 years old, with 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>Rheumatoid arth@14:26:18</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>5</hlevel>
<item_name>Rheumatoid arthritis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\Arthropathies (710-719)\(714) Rheumatoid arthritis and ot~\(714-0) Rheumatoid arthritis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Musculoskeletal and connective tissue \ Arthropathies \ Rheumatoid arthritis and other inflammatory polyarthropathies \ Rheumatoid arthritis</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 Rheumatoid Arthritis in the i2b2 database, regardless of the timing or specificity, with a high level of accuracy and no inversion, and display the results in a panel with a single item, which is a synonym for Rheumatoid Arthritis under the category of Musculoskeletal and Connective Tissue Disorders, specifically within the subcategory of Arthropathies and other inflammatory polyarthropathies. |
```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@13:47:46</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>
<item>
<hlevel>6</hlevel>
<item_name>Hypertension</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Diabetes mellitus type II</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key>
<item_icon>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 type II diabetes mellitus (non-insulin dependent, not stated as uncontrolled, without mention of complication) and any associated hypertension 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> 0-9 years old@14:12:19</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> 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>2</hlevel>
<item_name>Congenital anomalies</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Congenital anomalies (740-759)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Congenital anomalies</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\Congenital anomalies (740-759)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients aged 0-9 years old with a principal diagnosis of congenital anomalies (ICD-9 codes 740-759) 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>Congeni-Rx Sig@14:13:45</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Congenital anomalies of eye</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Congenital anomalies (740-759)\(743) Congenital anomalies of eye\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Congenital anomalies \ Congenital anomalies of eye</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>Medications</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\</item_key>
<item_icon>FA</item_icon>
<tooltip>Medications</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Rx Sig</modifier_name>
<modifier_key>\\i2b2_MEDS\Medication\RxSig\</modifier_key>
<applied_path>\i2b2\Medications\%</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 congenital anomalies of the eye and who have also had a prescription for medications. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Hormone- 35-44@11:38:16</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>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>Assault-Assault@14:44:10</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery)Assault-Assault@16:34:21</item_name>
<item_key>masterid:2064</item_key>
<tooltip>Assault-Assault@16:34:21</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients who have been diagnosed with assault at any time, with a specificity scale of 0 and a high accuracy scale of 100, where the query is named "Assault-Assault@14:44:10" and the panel timing is set to "ANY". This query is based on another query named "Assault-Assault@6:34:21" with a master ID of 2064, and it is not a synonym. The query should be as precise as possible, but not 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>Other congenita@14:14:13</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>Other congenital anomalies of heart</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Congenital anomalies (740-759)\(746) Other congenital anomalies ~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Congenital anomalies \ Other congenital anomalies of heart</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of "Other congenital anomalies of heart" (ICD code 746) in the i2b2 database, regardless of the time frame, with a specificity scale of 0 and a panel accuracy scale of 100, using a panel with a single item, and displaying the icon "FA" and tooltip "Diagnoses \ Congenital anomalies \ Other congenital anomalies of heart" for the item. The query will not be inverted and only one item will be displayed. |
```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>Livin- 18--Acute@15:37:55</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>Living</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Living</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>55 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>56 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>57 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>58 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>59 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>4</hlevel>
<item_name>60 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients who are 5 years old or older and have been diagnosed with acute pancreatitis at any time during their stay in the hospital. The age range includes 5-64 years old, specifically 5, 6, 7, 8, 9, 10, 111, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 222, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 333, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, and 50-54 years old, and 555-59 years old, and |
```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@11:44:25</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>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 all 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>Hormone- 35-44@11:52:46</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>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 patients who have taken hormone medications 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> 55--Male-Circu@08:26:15</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>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Male</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Male</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>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 male patients aged 5-64 years old with diagnoses related to the circulatory system. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18--Femal-Acute@00:07:53</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> 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>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>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>Unknown</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Unknown\</item_key>
<item_icon>MA</item_icon>
<tooltip>Demographic \ Gender \ not recorded</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients aged 555-64 years old, with a diagnosis of acute pancreatitis, and their gender. |
```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@15:41:49</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>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>>= 85 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 85 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>HMG-CoA reductase inhibitors</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who are 18-34 years old, 35-44 years old, 45-54 years old, 555-64 years old, 65-74 years old, or >= 85 years old with a diagnosis of hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors medications. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Femal-Hyper-DM II@15:45:31</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>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>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 hypertension and type II diabetes mellitus (non-insulin dependent type, 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>Circulatory sys@16:49:37</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>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) within the specified time frame (ANY) with a specificity scale of 0 and an accuracy scale of 100. This query will return all patients with diagnoses in the specified category, and the results will be displayed in a panel with panel number 1 and panel timing set to ANY. The query is not inverted and will only return one item, which is the Circulatory System diagnosis category. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18-34 years o@00:12:25</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> 18-34 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 35-44 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 35-44 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 75-84 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 75-84 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 85 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 85 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients who are between the ages of 18 and 34 years old, 35 and 444 years old, 45 and 54 years old, 55 and 64 years old, 65 and 74 years old, and 75 years old or older, within any time frame, and with a specificity scale of 0, 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>Princ-Livin- 18-@17:19:08</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>4</hlevel>
<item_name>Diseases of pancreas</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>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>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 all patients who are living, aged between 18-34 years old or 35-44 years old, and have a vital status of living. Additionally, I would like to include the age groups of 5, 6, 7, 8, 9, and 60 years old within the 5-64 years old age range. |
```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@17:21:57</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>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 all patients with a diagnosis of mixed hyperlipidemia or other and unspecified hyperlipidemia, with any specificity and timing, using the ICD-10-CM code range 270-279 for metabolic and immunity disorders, and specifically looking at disorders of lipid metabolism (272) and its subcategories of mixed hyperlipidemia (272-2) and other and unspecified hyperlipidemia (272-4). |
```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@11:52:54</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>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 medication records related to hormones for patients between the ages of 35 and 444 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>mild -moder-nonde@00:00:08</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>4</hlevel>
<item_name>mild dementia</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>moderate dementia</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\moderate dementia\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ moderate dementia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>nondemented</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\nondemented\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ MMSE score \ nondemented</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients who have been diagnosed with mild dementia, moderate dementia, or are nondemented, at any point in time, using the Clinical Dementia Rating (CDR) scale, within the OASIS Clinical Measures section of the BIRN database. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18--Femal-Acute@18:08:22</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>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> 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>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find female patients between the ages of 18-64 years old who have been diagnosed with acute pancreatitis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Laborat-Female@14:56:44</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Laboratory Tests</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all female patients who have had laboratory tests performed 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>Laborat-Female@14:56:54</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>1</hlevel>
<item_name>Laboratory Tests</item_name>
<item_key>\\i2b2_LABS\i2b2\Labtests\</item_key>
<item_icon>FA</item_icon>
<tooltip>Labtests</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>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 who have had laboratory tests performed at any time. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 35--Femal-Breas@18:10:32</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>
<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>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>6</hlevel>
<item_name>Breast cancer, female</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Bone, connective tissue, skin, and breast (170-176)\(174) Malignant neoplasm of femal~\(174-9) Malignant neoplasm of bre~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Bone, connective tissue, skin, and breast \ Malignant neoplasm of female breast \ Malignant neoplasm of breast (female), unspecified</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find female patients aged 35-84 years old with a diagnosis of breast cancer. |
```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>Decease-Zip cod@09:24:57</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>Deceased</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Deceased\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Deceased</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<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>Zip codes</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Zip codes\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Zip codes</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who are deceased and have their zip code information recorded in the 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>Decea-Zip c-Princ@09:25:31</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>Deceased</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Deceased\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Vital Status \ Deceased</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<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>Zip codes</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Zip codes\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Zip codes</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>Endocrine, nutritional and metabolic diseases (e00-e89)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89)</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key>
<applied_path>\Diagnoses\(E00-E89) Endo~c157\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who are deceased, have a zip code recorded in their demographics, and have a principal diagnosis related to endocrine, nutritional, or metabolic diseases (ICD-10 codes E0-E89). |
```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@10:54:07</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation A</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<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>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 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>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 with an observation of UA-P/C - COLOR Cholesterol (Group:UA-COLOR) that occurred less than the first observation of Cholesterol (Group:CHOL) in the same instance number. |
```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 years old@10:03:53</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>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients who are 65 years old or older, with any timing and specificity scale set to 0, and panel accuracy scale set to 100, using the Demographics/Age item in the i2b2 query builder, with the item key "\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\", and the class 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>Overweight@10:17:08</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>5</hlevel>
<item_name>Overweight</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(278) Obesity and other hyperalim~\(278-0) Obesity\(278-00) Obesity, unspecified\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Obesity and other hyperalimentation \ Obesity \ Obesity, unspecified</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 unspecified obesity within the category of metabolic and immunity disorders using 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> 18-60-Acute p@18:11:33</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> 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>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Acute pancreatitis</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients aged 18-60 years old who have been diagnosed with acute pancreatitis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>(t) Cholesterol (GrUA-P/C - COLOR @10:40:22</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>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>
<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>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>
</ns4:query_definition>
``` |
I want to find all patients who have had a cholesterol test result (Group:CHOL) with a value greater than or equal to 19 mg/dl, and also had a urine analysis test (UA-P/C - COLOR) with a result of amber, brown, green, orange, other, red, straw, straw clear, straw yellow, yellow clear, yellow cloudy, yellow hazy, yellow, yellow clear, yellow cloudy, yellow hazy, dark yellow, dark yellow clear, dark yellow hazy, light yellow clear, light yellow clear, light yellow hazy, or yellow clear, within the same instance number (i.e., same encounter/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> 10-17-Digesti@11:17:33</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> 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>2</hlevel>
<item_name>Gender</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Gender</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<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 between the ages of 10 and 17 years old 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>Gender-Hematol@11:33:50</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>2</hlevel>
<item_name>Gender</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Gender</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<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>Hematologic diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Hematologic diseases (280-289)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Hematologic diseases</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients with hematologic diseases, aged between 65 and 74 years, and of any gender. |
```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--Princ-Princ@11:12:56</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> 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>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>Neurologic Disorders</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neurologic 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\Neurologic Disorders (320-389)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Nutritional deficiences</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Nutritional deficiences (260-269)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Nutritional deficiences</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\Nutritional deficiences (260-269)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find male patients between the ages of 65 and 74 who have been diagnosed with neurologic disorders or nutritional deficiencies as their principal 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>(t) UA-P/C - COLOR Cholesterol (Gr@11:13:28</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 all patients who have a urinalysis test result with a color value in the range of 'AMBER', 'BROWN', 'DK-YELLOW', 'GREEN', 'ORANGE', 'RED', 'STRAW', 'STRAW CLEAR', 'STRAW, CLEAR', 'YELLOW', 'YELLOW CLEAR', 'YELLOW HAZY', 'YELLOW, CLEAR', 'YELLOW/CLEAR', 'YELLOW/HAZY', 'YELLOW/CLOUDY', 'YELLOW, CLOUDY', 'YELLOW, CLEAR', 'YELLOW/HAZY', 'DK YELLOW', 'DK.YELLOW', 'DK YELLOW', 'LT YELL/CLEAR', 'STRAW/CLEAR', 'YELL/CLEAR', 'YELL/CLR', 'YELL/HZY' and a cholesterol test result greater than or equal |
```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> 10-17-Digesti@11:15:40</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> 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>2</hlevel>
<item_name>Gender</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Gender</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<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 10-17 years old with diagnoses related to the digestive system (ICD codes 520-579) in the i2b2 database, considering any timing and with 1000% accuracy. The query includes demographics such as age and gender, and the diagnoses category is focused on 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@11:16:09</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 test with a color result of amber, brown, dark yellow, green, orange, other, red, straw, straw clear, straw yellow, yellow clear, yellow cloudy, yellow hazy, yellow, yellow clear, yellow cloudy, yellow hazy, dark yellow, dark.yellow, or yellow/clear, and also had a cholesterol level greater than or equal to 19 mg/dl on the same instance number. |
```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> 10-17-Digesti@11:16:37</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name> 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>2</hlevel>
<item_name>Gender</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Gender</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<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 10-17 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> 10--Diges-Nutri@11:21:22</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>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>2</hlevel>
<item_name>Gender</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Gender</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<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>2</hlevel>
<item_name>Nutritional deficiences</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Nutritional deficiences (260-269)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Nutritional deficiences</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients aged 10-17 years old with diagnoses related to the digestive system (ICD-9 codes 520-579) and nutritional deficiencies (ICD-9 codes 260-269) without any specific time 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> NHemat-Nutri@11:31:21</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>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>2</hlevel>
<item_name>Gender</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Gender</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<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>Hematologic diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Hematologic diseases (280-289)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Hematologic diseases</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Nutritional deficiences</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Nutritional deficiences (260-269)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Nutritional deficiences</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients aged 10-17 years old with hematologic diseases (280-289) and nutritional deficiencies (260-269) diagnoses, considering both demographics and diagnoses information 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>Gende-Hemat-Nutri@11:33:02</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>Gender</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Gender</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<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>Hematologic diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Hematologic diseases (280-289)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Hematologic diseases</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Nutritional deficiences</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Nutritional deficiences (260-269)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Nutritional deficiences</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, have a hematologic disease, and have a nutritional deficiency. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name> 18--Hyper-HMG-C@00:13:59</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> 45-54 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 45-54 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 55-64 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 55-64 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 65-74 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 65-74 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name> 75-84 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ 75-84 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>3</hlevel>
<item_name>>= 85 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 85 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>Hyperlipidemia</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>HMG-CoA reductase inhibitors</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients who are between the ages of 18-34, 35-44, 45-54, 555-64, 65-74, 75-84, or 85+, have been diagnosed with hyperlipidemia, and have been prescribed HMG-CoA reductase inhibitors as medication 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>(t) UA-P/C - COLOR Cholesterol (Gr@11:33:54</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 all patients who have had a urinalysis test result with a color of AMBER, BROWN, DK-YELLOW, GREEN, ORANGE, OTHER, RED, STRAW, STRAW CLEAR, YELLOW, YELLOW CLEAR, YELLOW HAZY, YELLOW/CLEAR, YELLOW/HAZY, DK YELLOW, LT YELL/CLEAR, or YELL/CLEAR, and also had a cholesterol test result greater than or equal to 19 mg/dl, within the same encounter. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/">
<query_name>Gende-Hemat-Diges@11:36:14</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Gender</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Gender</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<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>Hematologic diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Hematologic diseases (280-289)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Hematologic diseases</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>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 who are between the ages of 65 and 74 years old, have a hematologic disease (diagnosis code 280-289), and have a diagnosis related to the digestive system (diagnosis code 52-579). |
```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>Gende-Hemat-Diges@11:36:24</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Gender</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Gender</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<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>Hematologic diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Hematologic diseases (280-289)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Hematologic diseases</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>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 with a gender of male or female, aged 65-74 years old, who have been diagnosed with hematologic diseases and digestive system 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>Respiratory sys@18:22:03</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>2</hlevel>
<item_name>Respiratory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Respiratory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all diagnoses related to the respiratory system (ICD-9 codes 460-519) within the specified time frame (ANY), with a specificity scale of 0, accuracy scale of 100, and a single item occurrence, using 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>Gender-Hematol@11:34:31</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>2</hlevel>
<item_name>Gender</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographic \ Gender</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<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>
<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>Hematologic diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Hematologic diseases (280-289)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Hematologic diseases</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients with hematologic diseases, aged 65-74 years old, and of any gender. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Femal-Hyper-Diabe@00:18:56</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</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>FA</item_icon>
<tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find female patients with a diagnosis of 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>(t) UA-P/C - COLOR Cholesterol (GrDiagnoses@11:35:33</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_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation C</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>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation C</query_id>
<query_type>EVENT</query_type>
<query_name>Observation C</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>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find patients with abnormal urine color (amber, brown, dark yellow, green, orange, other, red, straw, straw clear, straw cloudy, yellow, yellow clear, yellow cloudy, yellow hazy, yellow/clear, yellow/cloudy, yellow/hazy, dark yellow, dark/yellow, dark.yellow, dark/yell, light yellow/clear, light yellow/hazy, or yellow/clear) and cholesterol level greater than or equal to 19 mg/dl, and a diagnosis of a circulatory system condition within the same encounter. Additionally, I want to find patients who have an encounter with a diagnosis of a circulatory system condition that occurred before the encounter with the abnormal urine color and high cholesterol level. |
```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 (GrDiagnoses@11:38:56</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 3</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>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>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>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>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 3</query_id>
<query_type>EVENT</query_type>
<query_name>Event 3</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find all patients with a urine color result of 'AMBER', 'BROWN', 'DK-YELLOW', 'GREEN', 'ORANGE', 'OTHER', 'RED', 'STRAW', 'STRAW CLEAR', 'STRAW, CLEAR', 'YELLOW', 'YELLOW CLEAR', '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/CLEAR', or 'YELL/CLR' in their urinalysis test, who also have a cholesterol level greater than or equal to 19 m |
```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-Certa@12:49:39</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>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 circulatory system (i00-i99)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99)</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>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 diagnoses related to diseases of the nervous system (g0-g9), diseases of the circulatory system (i0-i9), and certain conditions originating in the perinatal period (p0-p96) with a high level of specificity and accuracy, regardless of the timing of the diagnosis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Princip-Seconda@09:33:21</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>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>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</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>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>Secondary Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Secondary 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>
</ns3:query_definition>
``` |
I want to find patients with diagnoses related to the circulatory system (ICD-9 codes 390-459) that are either principal or secondary diagnoses 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>(t) UA-P/C - COLOR Cholesterol (GrDiagnoses@11:38:13</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_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation C</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>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation C</query_id>
<query_type>EVENT</query_type>
<query_name>Observation C</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>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find patients with urine color in the specified range (AMBER, BROWN, DK-YELLOW, GREEN, ORANGE, OTHER, RED, STRAW, STRAW CLEAR, STRAW, CLEAR, YELLOW, YELLOW CLEAR, YELLOW HAZY, YELLOW, YELLOW CLOUDY, YELLOW/CLEAR, YELLOW/HAZY, DK YELL/CLEAR, DK YELL/HZY, DK YELLOW, DK/YELLOW, LT YELL/CLEAR, STRAW/CLEAR, YELL/CLEAR, YELL/CLDY, YELL/CLEAR, YELL/HZY) and cholesterol levels greater than or equal to 19 mg/dl, who have a diagnosis related to the circulatory system. |
```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>Intraoperative @10:06:22</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>6</hlevel>
<item_name>Intraoperative cholangiogram</item_name>
<item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(87-99) Diagnostic and nonsurgical procedures\(p87) Diagnostic Radiology\(p87-5) Biliary tract x-ray\(p87-53) Intraoperative cholangio~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Procedures \ ICD9 (Inpatient) \ Diagnostic and nonsurgical procedures \ Diagnostic Radiology \ Biliary tract x-ray \ Intraoperative cholangiogram</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all instances of the procedure "Intraoperative cholangiogram" performed at any time during a patient's stay, with a specificity scale of 0, accuracy scale of 100, and a single item in the panel, using the ICD9 (Inpatient) Diagnostic and nonsurgical procedures code for Diagnostic Radiology of Biliary tract x-ray. |
```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>Intraoperative @10:07:04</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery)Intraoperative @10:06:22</item_name>
<item_key>masterid:673</item_key>
<tooltip>Intraoperative @10:06:22</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all instances of the term "Intraoperative" that appear in the data at any time, with a specificity scale of 0, a panel timing of "ANY", and an accuracy scale of 100, using the panel 1 with a single item that is not a synonym, and is related to the previous query "Intraoperative @10:06:22". |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>>= 65 years old@11:23:56</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>>= 65 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key>
<item_icon>FA</item_icon>
<tooltip>Demographics \ Age \ >= 65 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients who are 65 years old or older, with any specificity, at any time, and with a high level of accuracy, focusing on the demographic information related to 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>(t) Diagnos-CirculaUA-P/C CholestDiagnos@11:39:36</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<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>
<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_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation C</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>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation C</query_id>
<query_type>EVENT</query_type>
<query_name>Observation C</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>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find patients who have a urine color that is not amber, brown, dark yellow, green, orange, other, red, straw, straw clear, straw yellow, yellow clear, yellow cloudy, yellow hazy, yellow, yellow clear, yellow cloudy, yellow hazy, dark yellow, dark yellow clear, dark yellow hazy, or yellow/clear, yellow/hazy, dark yellow, dark.yellow, light yellow, or light yellow/clear, and who also have a cholesterol level greater than or equal to 19 mg/dl, and who have a diagnosis related to the circulatory 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>Burns' disease@23:07:24</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>4</hlevel>
<item_name>Burns' disease</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Musculoskeletal and connective tissue (710-739)\(732) Osteochondropathies\(732-3) Juvenile osteochondrosis ~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ Musculoskeletal and connective tissue \ Osteochondropathies \ Juvenile osteochondrosis of upper extremity</tooltip>
<class>ENC</class>
<item_is_synonym>true</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find diagnoses related to Musculoskeletal and connective tissue diseases, specifically focusing on Osteochondropathies, with a focus on Juvenile osteochondrosis of the upper extremity, using the i2b2 query builder with a specificity scale of 0, accuracy scale of 100, and a time frame 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>(t) Diagnos-CirculaUA-P/C CholestDiagnos@11:40:09</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>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<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>
<subquery_constraint>
<first_query>
<query_id>Event 1</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery_constraint>
<first_query>
<query_id>Event 2</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Event 3</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</second_query>
</subquery_constraint>
<subquery>
<query_id>Event 1</query_id>
<query_type>EVENT</query_type>
<query_name>Event 1</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>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>Event 2</query_id>
<query_type>EVENT</query_type>
<query_name>Event 2</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>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>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Event 3</query_id>
<query_type>EVENT</query_type>
<query_name>Event 3</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
</ns4:query_definition>
``` |
I want to find subjects with an abnormal urine color (i.e., amber, brown, dark yellow, green, orange, other, red, straw, straw clear, straw yellow, yellow clear, yellow hazy, yellow cloudy, yellow, or yellow clear) and a cholesterol level greater than or equal to 19 mg/dL, who also have a diagnosis related to the circulatory system (i.e., ICD-9 codes 390-459) in the same encounter or within the same instance of the encounter, and I want to find the earliest date when both of these conditions are met. |
```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--Hemat-Diges@11:40:43</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>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>
<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>Hematologic diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Hematologic diseases (280-289)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Hematologic diseases</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>3</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>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 between the ages of 65 and 74 years old who have been diagnosed with hematologic diseases or digestive system 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> 65-74-Hematol@11:43:10</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>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>
<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>Hematologic diseases</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Hematologic diseases (280-289)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Hematologic diseases</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 65 and 74 who have been diagnosed with hematologic diseases. |
```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) Diagnos-CirculaUA-P/C CholestAdmit D@11:43:34</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>1</hlevel>
<item_name>Diagnoses</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<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>
<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_constraint>
<first_query>
<query_id>Observation B</query_id>
<join_column>STARTDATE</join_column>
<aggregate_operator>FIRST</aggregate_operator>
</first_query>
<operator>LESS</operator>
<second_query>
<query_id>Observation C</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>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</subquery>
<subquery>
<query_id>Observation C</query_id>
<query_type>EVENT</query_type>
<query_name>Observation C</query_name>
<query_timing>SAMEINSTANCENUM</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>0</panel_number>
<panel_timing>SAMEINSTANCENUM</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>2</hlevel>
<item_name>Circulatory system</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Circulatory system</tooltip>
<class>ENC</class>
<constrain_by_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>
</subquery>
</ns4:query_definition>
``` |
I want to find all patients who have had a urinalysis test with specific colors (AMBER, BROWN, DK-YELLOW, GREEN, ORANGE, OTHER, RED, STRAW, STRAW CLEAR, STRAW, CLOUDY, YELLOW, YELLOW CLEAR, YELLOW HAZY, YELLOW/CLEAR, YELLOW/HAZY, DK YELLOW, DK.YELLOW, LT YELL/CLEAR, YELL/CLDY, YELL/CLEAR, or YELL/HZY) and also have a cholesterol level greater than or equal to 19 mg/dl, and have a diagnosis related to the circulatory system (390-459) either during the same encounter or as an admission diagnosis. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Female@11:25:21</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>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find all female patients in the i2b2 database, with no specific time frame or accuracy level required, and the query should return all instances of female gender. |
```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>mild de-Atlas s@12:30:08</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>4</hlevel>
<item_name>mild dementia</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Atlas scaling factor</item_name>
<item_key>\\BIRN\BIRN\oasis\Derived Anatomic Volumes\Atlas scaling factor\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Derived Anatomic Volumes \ Atlas scaling factor</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients with a diagnosis of mild dementia and an Atlas scaling factor measurement taken at 12:30:08. |
```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>mild -Atlas-Arter@12:31:29</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>4</hlevel>
<item_name>mild dementia</item_name>
<item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Atlas scaling factor</item_name>
<item_key>\\BIRN\BIRN\oasis\Derived Anatomic Volumes\Atlas scaling factor\</item_key>
<item_icon>LA</item_icon>
<tooltip>oasis \ Derived Anatomic Volumes \ Atlas scaling factor</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>Arteriosclerotic dementia, uncomplicated</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Mental Disorders (290-319)\Psychosis (290-299)\(290) Senile and presenile organi~\(290-4) Arteriosclerotic dementia\(290-40) Arteriosclerotic dementi~\</item_key>
<item_icon>LA</item_icon>
<tooltip>Diagnoses \ ... \ Psychosis \ Senile and presenile organic psychotic conditions \ Arteriosclerotic dementia \ Arteriosclerotic dementia, uncomplicated</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find patients with a mild dementia diagnosis, an Atlas scaling factor value, and a diagnosis of arteriosclerotic dementia, uncomplicated, 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>Diseases of the@15:57:21</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>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>
</ns4:query_definition>
``` |
I want to find all diagnoses related to diseases of the respiratory system, as classified under ICD10 and ICD9 codes in the range of J00-J9, with a specificity scale of 0, and a total item occurrence of 1, within any time frame, with a panel accuracy scale of 100 and an invert value of 0. |
```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>Psychotherapeut@15:35:03</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>2</hlevel>
<item_name>Psychotherapeutic agents</item_name>
<item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME203) psychotherapeutic agents\</item_key>
<item_icon>FA</item_icon>
<tooltip>medications \ psychotherapeutic agents</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of the use of psychotherapeutic agents in the medical records, regardless of the specific timing or accuracy, with a specificity scale of 0 and a total of 1 occurrence per patient, and the query will be named "Psychotherapeut@15:35:03". |
```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-Congeni@11:45:09</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> 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>
<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>Congenital malformations, deformations and chromosomal abnormalities (q00-q99)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(Q00-Q99) Cong~t96i\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Congenital malformations, deformations and chromosomal abnormalities (q00-q99)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients aged 65-74 years old with a diagnosis of congenital malformations, deformations, or chromosomal abnormalities (ICD-10 codes Q00-Q9). |
```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-Congeni@11:45:36</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> 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>
<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>Congenital malformations, deformations and chromosomal abnormalities (q00-q99)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(Q00-Q99) Cong~t96i\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Congenital malformations, deformations and chromosomal abnormalities (q00-q99)</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 65 and 74 who have been diagnosed with congenital malformations, deformations, or chromosomal abnormalities. |
```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>Diabete-Female@13:35:11</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>6</hlevel>
<item_name>Diabetes mellitus type I</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~\(250-01) type I diabetes mellitus~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ type I diabetes mellitus [insulin dependent type] {..}ile 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>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find female patients with a diagnosis of type I diabetes mellitus, without mention of complications, at any time during 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>Gender-Hematol@@13:43:01</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery)Gender-Hematol@11:34:31</item_name>
<item_key>masterid:406</item_key>
<tooltip>Gender-Hematol@11:34:31</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients with any gender and any hematological disorder 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>Principal Diagn@13:39:44</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>6</hlevel>
<item_name>Malignant neoplasm of parotid gland</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Lip, oral cavity, and pharynx (140-149)\(142) Malignant neoplasm of major~\(142-0) Malignant neoplasm of par~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Malignant neoplasms \ Lip, oral cavity, and pharynx \ Malignant neoplasm of major salivary glands \ Malignant neoplasm of parotid gland</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\Neoplasms (140-239)\%</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 malignant neoplasm of the parotid gland. |
```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@13:40:06</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>6</hlevel>
<item_name>Malignant neoplasm of parotid gland</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Lip, oral cavity, and pharynx (140-149)\(142) Malignant neoplasm of major~\(142-0) Malignant neoplasm of par~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Malignant neoplasms \ Lip, oral cavity, and pharynx \ Malignant neoplasm of major salivary glands \ Malignant neoplasm of parotid gland</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\Neoplasms (140-239)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>6</hlevel>
<item_name>Malignant neoplasm of parotid gland</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Lip, oral cavity, and pharynx (140-149)\(142) Malignant neoplasm of major~\(142-0) Malignant neoplasm of par~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ ... \ Malignant neoplasms \ Lip, oral cavity, and pharynx \ Malignant neoplasm of major salivary glands \ Malignant neoplasm of parotid gland</tooltip>
<class>ENC</class>
<constrain_by_modifier>
<modifier_name>Admit Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Admit Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Neoplasms (140-239)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with a principal diagnosis or admit diagnosis of malignant neoplasm of the parotid gland (a type of cancer in the salivary glands) 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>Malignant neopl@13:40:22</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>5</hlevel>
<item_name>Malignant neoplasm of nasopharynx</item_name>
<item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Lip, oral cavity, and pharynx (140-149)\(147) Malignant neoplasm of nasop~\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Neoplasms \ Malignant neoplasms \ Lip, oral cavity, and pharynx \ Malignant neoplasm of nasopharynx</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of malignant neoplasm of the nasopharynx in the i2b2 database, regardless of when they were recorded, with a specificity scale of 0 and an accuracy scale of 100, and display the results in a panel with panel number 1 and panel timing set to ANY. The query is not inverted and there is only one item in the panel. The item is a diagnosis code from the "Neoplasms" category, specifically "Malignant neoplasms" subcategory, within the "Lip, oral cavity, and pharynx" sub-subcategory, with the exact code "(147) Malignant neoplasm of nasopharynx." The icon for this item is "FA" and the tooltip provides a brief description of its location within the i2b2 hierarchy. This item is not a synonym for any other item. |
```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>Malignant neopl@13:42:48</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>0</hlevel>
<item_name>(PrevQuery)Malignant neopl@13:40:22</item_name>
<item_key>masterid:422</item_key>
<tooltip>Malignant neopl@13:40:22</tooltip>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all instances of malignant neoplasms in the dataset, with a specificity scale of 0 and a total occurrence count of 1, within any time frame, using a panel accuracy scale of 100 and without inverting the results. |
```xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/">
<query_name>Princip-Female@11:36:35</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>
<constrain_by_modifier>
<modifier_name>Principal Diagnosis</modifier_name>
<modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key>
<applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path>
</constrain_by_modifier>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
<panel>
<panel_number>2</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>3</hlevel>
<item_name>Female</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographic \ Gender \ Female</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns3:query_definition>
``` |
I want to find female patients with a principal diagnosis 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>19 years old@12:10:57</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>4</hlevel>
<item_name>19 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\19 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 19 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 19 years old, with any timing, using a specificity scale of 0, and a panel accuracy scale of 100, with a single item occurrence, and no inversion, focusing on the demographic aspect of age within the age range of 8-34 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>21 years old@12:11:14</query_name>
<query_timing>ANY</query_timing>
<specificity_scale>0</specificity_scale>
<panel>
<panel_number>1</panel_number>
<panel_timing>ANY</panel_timing>
<panel_accuracy_scale>100</panel_accuracy_scale>
<invert>0</invert>
<total_item_occurrences>1</total_item_occurrences>
<item>
<hlevel>4</hlevel>
<item_name>21 years old</item_name>
<item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\21 years old\</item_key>
<item_icon>LA</item_icon>
<tooltip>Demographics \ Age \ 18-34 years old \ 21 years old</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find all patients who are 21 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>Essential (prim@09:26:53</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>Essential (primary) hypertension</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
<item>
<hlevel>2</hlevel>
<item_name>Diabetes mellitus (e08-e13)</item_name>
<item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key>
<item_icon>FA</item_icon>
<tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip>
<class>ENC</class>
<item_is_synonym>false</item_is_synonym>
</item>
</panel>
</ns4:query_definition>
``` |
I want to find patients with a primary diagnosis of essential (primary) hypertension (I10) and diabetes mellitus (E08-E13) with any timing and a specificity scale of 0, using the ICD10_ICD9 code set, and with a panel accuracy scale of 100. |
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