title: Validation of ICD-9-CM diagnostic codes for inflammatory bowel disease among veterans.
abstract: BACKGROUND
  Inflammatory bowel disease (IBD) is well described among young whites and less so among the elderly and non-whites. Population-level data is required to assess outcomes among minority groups.
  
  
  OBJECTIVE
  To validate diagnostic codes for IBD from the Department of Veterans Affairs.
  
  
  METHODS
  National databases were used to identify local patients with Crohn's disease (CD) and ulcerative colitis (UC), the extra-intestinal manifestations and surgical procedures associated with IBD. Diagnosis was confirmed by manual chart abstraction. Multivariable logistic regression was used to derive diagnostic algorithms for CD and UC, which were then validated in an independent cohort.
  
  
  RESULTS
  The test cohort of 3,827 patients (1,316 potential cases, 2,511 random controls) was predominantly male (94%), white (56%), and of age of 58 (standard deviation 15). The positive predictive value (PPV) of CD codes was superior (88-100%) to UC (50-93%). The accuracy of extra-intestinal manifestations and surgeries was poor (PPV 0-29%). ICD-9-CM code 555.x without 560.9 had a PPV of 91% for CD in the validation cohort. Code 556.x with age, gender, and race factors was highly predictive of UC (c-statistic 0.9, PPV of 81%).
  
  
  CONCLUSIONS
  VA administrative data can diagnose elderly and non-white patients with IBD.
authors.affiliation: Section of Health Services Research, Houston Center for Quality of Care & Utilization Studies, Houston, TX 77030, USA. thirumur@bcm.tmc.edu
authors.forename: Selvi
authors.initials: S
authors.lastname: Thirumurthi
authors.forename: Reezwana
authors.initials: R
authors.lastname: Chowdhury
authors.forename: Peter
authors.initials: P
authors.lastname: Richardson
authors.forename: Neena S
authors.initials: NS
authors.lastname: Abraham
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D003093:Colitis, Ulcerative / Q000150:complications / Q000175:diagnosis* / Q000601:surgery; D003424:Crohn Disease / Q000150:complications / Q000175:diagnosis* / Q000601:surgery; D019992:Databases as Topic; D005260:Female; D006801:Humans; D038801:International Classification of Diseases / Q000706:statistics & numerical data; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D014481:United States; D014493:United States Department of Veterans Affairs; D014728:Veterans / Q000706:statistics & numerical data