title: Validation of Diagnostic and Procedural Codes for Identification of Acute Cardiovascular Events in US Veterans with Rheumatoid Arthritis.
abstract: OBJECTIVE
  To assess the accuracy of International Classification of Diseases, Ninth Revision, and Current Procedural Terminology codes for identifying cardiovascular (CV) events (myocardial infarction [MI], stroke, coronary artery bypass graft [CABG], and percutaneous coronary intervention [PCI]) in enrollees of the Veterans Affairs Rheumatoid Arthritis (VARA) registry.
  
  
  METHODS
  We performed a validation study from VARA enrollment until 6/1/2010 to compare the accuracy of CV events in those with and without CV-event coding in inpatient and outpatient records to evaluate for CV events +/- 3 months of the coding. The positive predictive value (PPV) was calculated, and codes with a PPV ≥50% were included in a composite coding algorithm.
  
  
  RESULTS
  We evaluated 107 individuals for 21 CV-event codes and 60 individuals without CV-event coding. The PPV varied between 0-100%. Composite coding algorithms' PPV ranged from 70-100%.
  
  
  CONCLUSIONS
  Validation of these algorithms allows for identification of acute CV events with known accuracy. The sensitivity and PPV of coding algorithms for CABG and PCI exceed that of stroke and MI.
authors.affiliation: Denver Health and Hospital Authority ; Denver Veterans Affairs Medical Center (VAMC) ; University of Colorado School of Medicine.
authors.forename: Lisa A
authors.initials: LA
authors.lastname: Davis
authors.affiliation: Denver Veterans Affairs Medical Center (VAMC).
authors.forename: Alyse
authors.initials: A
authors.lastname: Mann
authors.affiliation: George E Wahlen VAMC.
authors.forename: Grant W
authors.initials: GW
authors.lastname: Cannon
authors.affiliation: Omaha VAMC and University of Nebraska Medical Center.
authors.forename: Ted R
authors.initials: TR
authors.lastname: Mikuls
authors.affiliation: Dallas VAMC.
authors.forename: Andreas M
authors.initials: AM
authors.lastname: Reimold
authors.affiliation: Denver Veterans Affairs Medical Center (VAMC) ; University of Colorado School of Medicine.
authors.forename: Liron
authors.initials: L
authors.lastname: Caplan
keywords: Cohort Identification; Data Reuse; Methods
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