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Outcome of COVID-19 Infection in Patients With Multiple Sclerosis Who Received Disease-Modifying Therapies: A Systematic Review and Meta-Analysis
Article in En | WPRIM | ID: wpr-976841
Responsible library: WPRO
ABSTRACT
Background@#and Purpose A systematic review and meta-analysis was performed of the outcome of Coronavirus disease 2019 (COVID-19) infection in patients with multiple sclerosis (MS) who received disease-modifying therapies (DMTs). @*Methods@#Relevant studies published before November 2022 in the PubMed, Cochrane Library, Chinese National Knowledge Infrastructure, and Web of Science databases were retrieved using the following search expression: (“multiple sclerosis” OR “MS”) AND (“DMT” OR “disease modifying therapies”) AND (“COVID-19”). Two authors independently screened the articles and extracted the data. Qualitative analyses and a meta-analysis constituted 22 of the 794 retrieved articles. Differences in the hospitalization and mortality rates were used as the main measures of efficacy, and the meta-analysis was performed using RevMan software. @*Results@#22 clinical trials were selected. The hospitalization rate was lower in the 3,216 patients who received DMTs than in the 774 patients who did not receive any treatment, with a moderate effect size of 0.43 (p<0.00001). The mortality rate was also lower among patients with MS treated using DMTs than in controls (odds ratio [OR]=0.19, 95% confidence interval [CI]=0.13–0.27, p<0.00001). The hospitalization rates for COVID-19 infection in patients with MS treated with anti-CD20 therapy also increased markedly (OR=3.32, 95% CI=2.63–4.20, p<0.00001). However, there was no significant difference between patients with MS who did and did not receive DMTs. @*Conclusions@#In summary, the application of DMTs was found to be valuable for patients with MS infected with COVID-19. However, more clinical studies are needed to determine the use of anti-CD20 drugs in patients with MS during the COVID-19 pandemic.
Full text: 1 Database: WPRIM Type of study: Systematic_reviews Language: En Journal: Journal of Clinical Neurology Year: 2023 Document type: Article
Full text: 1 Database: WPRIM Type of study: Systematic_reviews Language: En Journal: Journal of Clinical Neurology Year: 2023 Document type: Article