OBJECTIVE: Inflammatory bowel disease (IBD) is a multifactorial disease and many factors may influence the disease course, like the concomitant use of medication. An example thereof is the use of β-blockers, antagonizing β-adrenergic receptors. β-adrenergic receptor activation has potent anti-inflammatory effects on the immune system. We addressed whether an association exists between the use of beta-blockers and the course of IBD, defined by the risk of a disease relapse in patients with IBD.
PATIENTS AND METHODS: In this retrospective case-control study, we used a population-based cohort of patients with IBD. We identified colitis relapses using IBD medication prescriptions as a proxy. We calculated the number of relapses per 100 person-years and compared this between patients with IBD using β-blockers and patients with IBD not using β-blockers. We used Cox proportional hazards models with shared frailty to compare the relative relapse risk between both groups.
RESULTS: A total of 250 patients with IBD were included, of which 30 patients used a β-blocker for at least 3 months. With the Cox proportional hazards model with shared frailty, adjusted for age and sex, we observed a 54% (hazard ratio: 1.54; 95% confidence interval: 1.05-2.25; P=0.03) higher risk of a relapse in the group of patients with IBD using β-blockers versus the group not using β-blockers.
CONCLUSION: Even in this limited cohort study, we show that patients with IBD using β-blockers have an increased relapse risk. Indeed, concomitant medication use seems to be a factor that can influence the course of IBD, and this should be acknowledged while making decisions about treatment of IBD and follow-up.
|Number of pages||6|
|Journal||European Journal of Gastroenterology and Hepatology|
|Publication status||Published - 1 Feb 2018|
- Adrenergic beta-Antagonists/therapeutic use
- Case-Control Studies
- Colitis, Ulcerative/epidemiology
- Crohn Disease/epidemiology
- Follow-Up Studies
- Middle Aged
- Proportional Hazards Models
- Retrospective Studies
- Risk Factors