Co-morbid diabetes in patients with Crohn's disease predicts a greater need for surgical intervention

Aliment Pharmacol Ther. 2012 Jan;35(1):126-32. doi: 10.1111/j.1365-2036.2011.04915.x. Epub 2011 Nov 10.

Abstract

Background: The prevalence of diabetes is increasing rapidly. Given its pro-inflammatory nature, comorbid diabetes may affect the course of Crohn's disease (CD).

Aim: To determine whether comorbid diabetes influences the natural history of CD.

Methods: We compared a cohort with CD and comorbid diabetes to a nondiabetic control population and calculated the period prevalence of surgical intervention over a 5-year period. Unadjusted and adjusted odds-ratios were calculated regarding the need for surgical intervention using univariate and multivariate logistic regression.

Results: A total of 240 patients were identified, 16 of whom were diabetics (6.7%). The period prevalence of CD-specific surgery in the diabetic cases was 75.0% and in the nondiabetic controls, 31.7%. The diabetic patients were more obese than the controls (44% vs. 10%; P < 0.0001) and older than the controls (47.4 years vs. 38.6; P < 0.01). There was no difference in the frequency of biologic therapy use, immunomodulator use, smoking, perianal disease, ileal involvement or corticosteroid use between the diabetics and controls. Univariate analysis revealed that diabetes (OR 6.46 [95% CI 2.01-20.8]), smoking (OR 2.46 [95% CI 1.24-4.90]), ileal disease (OR 2.21 [95% CI 1.15-4.24]) and obesity (OR 2.22 [95% CI 1.04-4.77]) were risk factors for needing surgery. After adjustment for covariates, the OR for surgical intervention in diabetics was 5.4 (95% CI 1.65-17.64).

Conclusion: Co-morbid diabetes in patients with Crohn's disease predicts a greater need for surgical intervention.

MeSH terms

  • Adult
  • Cohort Studies
  • Comorbidity
  • Crohn Disease / epidemiology*
  • Crohn Disease / surgery
  • Diabetes Mellitus / epidemiology*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Regression Analysis
  • Risk
  • Time Factors