Validation of ICD-9-CM diagnostic codes for inflammatory bowel disease among veterans

Dig Dis Sci. 2010 Sep;55(9):2592-8. doi: 10.1007/s10620-009-1074-z. Epub 2009 Dec 24.


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.

Aim: 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%).

Conclusion: VA administrative data can diagnose elderly and non-white patients with IBD.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Validation Study

MeSH terms

  • Adult
  • Aged
  • Algorithms
  • Colitis, Ulcerative / complications
  • Colitis, Ulcerative / diagnosis*
  • Colitis, Ulcerative / surgery
  • Crohn Disease / complications
  • Crohn Disease / diagnosis*
  • Crohn Disease / surgery
  • Databases as Topic
  • Female
  • Humans
  • International Classification of Diseases* / statistics & numerical data
  • Logistic Models
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Reproducibility of Results
  • Retrospective Studies
  • Sensitivity and Specificity
  • United States
  • United States Department of Veterans Affairs
  • Veterans* / statistics & numerical data