Pneumonia- VUMC eMERGE v5.1

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Identify bacterial pneumonia, similar to that reported with genetic association risk in CD143 and TLR4 A229G in literature.

Unstructured Data: 
NLP
Structured data: 
ICD10
ICD9
Data Source/clinical domain: 
medications
Files: 
PNAAbxCuis.csv
PNAemergeVUMCv51.pdf
Pneumonia_inclusions_list_40.csv
Pneumonia_exclusions_list_40.csv
Information
Phenotype ID: 
926
Date Created: 
Monday, January 29, 2018
Status: 
Final
Do Not List on the Collaboration Phenotypes List
Contact information
Authors: 
Andrea Ramirez, MD
Institution: 
Vanderbilt University Medical Center
Network Associations: 
eMERGE
View Phenotyping Groups: 
Denny’s Group at Vandy
eMERGE Columbia Group
eMERGE Phenotype WG
Owner Phenotyping Groups: 
Denny’s Group at Vandy
eMERGE Vanderbilt Group
Demographics
Gender: 
Female
Male
Age: 
Adult
Geriatric
Race: 
Arctic (Siberian, Eskimo, etc.)
Black (African American, West African, Ethiopian, etc.)
Caucasian (European)
Caucasian (North African, Middle East, Other)
East Asian (Mongol, Tibetan, Korean, Japanese, Thai, etc.)
Indigenous Australian
Mixed Race
Native American
Other Race
Pacific Islander (Polynesian, Micronesian, Hawaiian, etc.)
 

Suggested Citation

Andrea Ramirez, MD. Vanderbilt University Medical Center. Pneumonia- VUMC eMERGE v5.1. PheKB; 2018 Available from: https://phekb.org/phenotype/926

Comments

Submitted by Andrea Ramirez on

Hi Frank- controls should be at least 18 years old at last visit.  Thanks

Submitted by Andrea Ramirez on

in our dataset the dates are randomly skewed- if there are privacy concerns around this in other data sets it would be ok to blunt the date up to months or years as your irb allows.  thank you

Submitted by Todd Lingren on

Hi, the data dictionary 3 has multiple fields that are duplicate (e.. 10829, 2551, 2053).

I don't understand the purpose, if the dd is for total counts. 

 

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