Multiple sclerosis and inflammatory bowel disease: A systematic review and meta-analysis

Ann Clin Transl Neurol. 2022 Feb;9(2):132-140. doi: 10.1002/acn3.51495. Epub 2022 Jan 29.

Abstract

Background: Multiple sclerosis (MS) and inflammatory bowel disease (IBD) are two autoimmune diseases that seriously affect patients' quality of life. Previous studies have established an association between MS and IBD, including Crohn's disease (CD) and ulcerative colitis (UC), but the results were inconsistent. The aim of this study was to quantify the prevalences of and the association between MS and IBD.

Methods: The PubMed, Web of Science, and Embase databases were searched through November 2020 for studies reporting data on MS among patients with IBD and vice versa. The main outcomes were the proportion of MS in patients with IBD and vice versa, as well as the association (risk ratio [RR]) of IBD in MS and that of MS in IBD.

Results: Based on the analysis of 17 studies, the prevalence of MS in patients with IBD was 0.2% (95% CI 0.1-0.4%), while the prevalence of IBD in patients with MS was 0.6% (95% CI 0.4-0.9%). Patients with MS had a higher prevalence of IBD than controls (RR = 1.53, 95% CI 1.38-1.70, p < 0.00001). There was a similarly high risk of developing CD (RR 1.41, 95% CI 1.14-1.74, p = 0.001) or UC (RR 1.42, 95% CI 1.17-1.71, p = 0.0003) in patients with MS (p for subgroup differences: 0.97). Patients with IBD had a higher prevalence of MS than controls (RR = 1.91, 95% CI 1.06-3.45, p = 0.03).

Conclusions: Clinicians should be aware of the increased risk of IBD or MS comorbidity during the diagnostic process. Systematic diagnosis and management at an earlier stage are suggested.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Systematic Review

MeSH terms

  • Comorbidity
  • Humans
  • Inflammatory Bowel Diseases / epidemiology*
  • Multiple Sclerosis / epidemiology*

Grants and funding

This work was funded by Key Research and Development Project of Shaanxi Province grant 2020SF‐306; National Key Research and Development Plan of China grant 2017YFC0908300; National Natural Science Foundation of China grants 81421003 and 81627807.