Seasonal and monthly variation in multiple sclerosis relapses: a systematic review and meta-analysis

Acta Neurol Belg. 2022 Dec;122(6):1447-1456. doi: 10.1007/s13760-022-02103-y. Epub 2022 Sep 28.

Abstract

Background: Multiple Sclerosis (MS) relapses are episodes of transient disease exacerbation. There are contradictory findings regarding seasonal variation in MS relapses. In this systematic review and meta-analysis, we aimed to investigate the seasonal and monthly variation in relapse rates among patients with MS.

Methods: We systematically queried PubMed, Scopus, and Web of Science for published papers until February 30, 2022.

Results: A total of 24 studies were included in this systematic review and meta-analysis with a total of 29,106 patients with MS. We found that the relapse rate was significantly lower in fall compared to the average relapse rate in other seasons with a risk ratio (RR) of 0.97 (95% CI 0.95-0.98). Furthermore, patients with MS experienced a higher number of relapses in April (RR: 1.06, 95% CI 1.01-1.11) and March (RR: 1.08, 95% CI 1.00-1.16) compared to other months. Also, the risk of relapse was lower in August (RR: 0.92, 95% CI.85-0.98), September (RR: 0.97, 95% CI.94-0.99), October (RR: 0.92, 95% CI.89-0.96), and November (RR: 0.93, 95% CI.89-0.97).

Conclusion: Our systematic review and meta-analysis confirm the temporal fluctuations in the relapse of MS through a comprehensive review of the existing literature, with a lower relapse rate during late summer and fall and a higher relapse rate during early spring.

Keywords: Monthly; Multiple Sclerosis (MS); Relapse rate; Seasonal.

Publication types

  • Meta-Analysis
  • Systematic Review
  • Review

MeSH terms

  • Disease Progression
  • Humans
  • Multiple Sclerosis* / epidemiology
  • Recurrence
  • Seasons