Characterizing post-COVID-19 syndrome in multiple sclerosis: Vaccine status, infection burden, and therapy categories as predictors.

Background Post-COVID-19 syndrome (PCS) is a significant long-term complication of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection, yet its prevalence and risk factors in people with multiple sclerosis (pwMS) under disease-modifying therapies (DMTs) remain underexplored.Objective This study aimed to characterize the clinical course of coronavirus disease 2019 (COVID-19) and identify predictors of PCS in pwMS, focusing on vaccination status, infection severity and frequency, and DMT categories. Methods In this cross-sectional study, 107 pwMS from two centers completed a survey assessing COVID-19 history, persistent symptoms, immunotherapy, and vaccination status. PCS was defined as symptoms persisting >12 weeks after infection. Participants were stratified by DMT categories, infection number, and vaccination status. Results Of 107 participants, 7 (6.5 %) reported PCS. The most frequent symptoms were fatigue (71.4 %), pain (57.1 %), and headache (42.9 %). Patients with PCS had a higher mean number of SARS-CoV-2 infections (2.1, 95 % CI: 1.3-3.0) compared to those without (1.3, 95 % CI: 1.2-1.4; p = 0.004). A significant association was found with DMT category: 71.4 % (5/7) of affected individuals were on category I therapies (Interferon/Glatiramer acetate, Dimethyl fumarate, Teriflunomide) compared to 17 % of pwMS without PCS (p < 0.001). No significant effect was observed for COVID-19 severity or vaccination status. Conclusions PCS prevalence in this MS cohort was lower than in the general population, but category I DMTs and repeated infections were key risk factors. Findings suggest the need for individualized risk assessment, indicating that higher efficacy DMTs do not appear to pose an increased risk of PCS in pwMS.

Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2025-10-11
DOI
https://doi.org/10.48620/92022
Primary Topic
History and Theory of Mathematics
Type
article
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article

Characterizing post-COVID-19 syndrome in multiple sclerosis: Vaccine status, infection burden, and therapy categories as predictors.

Open Access CRIS of the University of Bern
History and Theory of Mathematics
article

Characterizing post-COVID-19 syndrome in multiple sclerosis: Vaccine status, infection burden, and therapy categories as predictors.

article en

Abstract

Background Post-COVID-19 syndrome (PCS) is a significant long-term complication of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection, yet its prevalence and risk factors in people with multiple sclerosis (pwMS) under disease-modifying therapies (DMTs) remain underexplored.Objective This study aimed to characterize the clinical course of coronavirus disease 2019 (COVID-19) and identify predictors of PCS in pwMS, focusing on vaccination status, infection severity and frequency, and DMT categories. Methods In this cross-sectional study, 107 pwMS from two centers completed a survey assessing COVID-19 history, persistent symptoms, immunotherapy, and vaccination status. PCS was defined as symptoms persisting >12 weeks after infection. Participants were stratified by DMT categories, infection number, and vaccination status. Results Of 107 participants, 7 (6.5 %) reported PCS. The most frequent symptoms were fatigue (71.4 %), pain (57.1 %), and headache (42.9 %). Patients with PCS had a higher mean number of SARS-CoV-2 infections (2.1, 95 % CI: 1.3-3.0) compared to those without (1.3, 95 % CI: 1.2-1.4; p = 0.004). A significant association was found with DMT category: 71.4 % (5/7) of affected individuals were on category I therapies (Interferon/Glatiramer acetate, Dimethyl fumarate, Teriflunomide) compared to 17 % of pwMS without PCS (p < 0.001). No significant effect was observed for COVID-19 severity or vaccination status. Conclusions PCS prevalence in this MS cohort was lower than in the general population, but category I DMTs and repeated infections were key risk factors. Findings suggest the need for individualized risk assessment, indicating that higher efficacy DMTs do not appear to pose an increased risk of PCS in pwMS.

Open Access CRIS of the University of Bern
Good health and well-being
Openalex Percentile: Top 38%
History and Theory of Mathematics
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