BACKGROUND: Electronic health data are routinely used to conduct studies of @entity65 in the setting of the Veterans Health Administration (VA). Previous studies have estimated the positive predictive value ( @entity2286 ) of International Classification of Disease, Ninth Revision (ICD-9) codes for acute @entity583 ( @entity583 ), but the sensitivity of these codes for all true events and the accuracy of coding algorithms for @entity66 status at baseline are largely unknown. METHODS: We randomly sampled 180 Veterans from the VA Puget Sound Health Care System who initiated @entity6 treatment. The full electronic medical record was reviewed to identify prevalent conditions at baseline and acute @entity583 events during follow-up. The accuracy of various coding algorithms was assessed. RESULTS: Algorithms for previous acute events at baseline had high @entity2286 (previous @entity583 : 97%; previous @entity64 : 81%) but low sensitivity (previous @entity583 : 38%; previous @entity64 : 52%). Algorithms for chronic conditions at baseline had high @entity2286 ( @entity712 : 72%; @entity301 [ @entity301 ]: 85%) and high sensitivity ( @entity712 : 90%, @entity301 : 84%). For current smoking status at baseline, ICD-9 codes with pharmacy data had a @entity2286 of 77% and sensitivity of 73%. The coding algorithm for acute @entity583 events during follow-up had high @entity2286 (80%) and sensitivity (89%) CONCLUSIONS: ICD-9 codes for acute @entity583 events during follow-up had high @entity2286 and sensitivity. The sensitivity of ICD-9 codes for previous acute events at baseline was low, but a composite variable for baseline @entity301 had good accuracy. Copyright    2015 John Wiley _ Sons, Ltd.

Validation of methods for assessing XXXX using electronic health data in a cohort of Veterans with @entity6 .

@entity64 :: ('MESH:D020521', 'Disease') :: ['stroke'] @entity712 :: ('MESH:D006333', 'Disease') :: ['heart failure'] @entity66 :: ('MESH:D004194', 'Disease') :: ['prevalent disease'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes'] @entity301 :: ('MESH:D003327', 'Disease') :: ['CHD', 'coronary heart disease'] @entity2286 :: ('12211', 'Species') :: ['PPV'] @entity583 :: ('MESH:D009203', 'Disease') :: ['myocardial infarction', 'MI'] @entity65 :: ('MESH:D002318', 'Disease') :: ['cardiovascular disease']
@entity65 :: (MESH:D002318,Disease) :: ['cardiovascular disease']
