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Onset Symptom Clusters in Multiple Sclerosis: Characteristics, Comorbidities, and Risk Factors.

Authors :
Ajdacic-Gross V
Steinemann N
Horváth G
Rodgers S
Kaufmann M
Xu Y
Kamm CP
Kesselring J
Manjaly ZM
Zecca C
Calabrese P
Puhan MA
von Wyl V
Source :
Frontiers in neurology [Front Neurol] 2021 Jul 06; Vol. 12, pp. 693440. Date of Electronic Publication: 2021 Jul 06 (Print Publication: 2021).
Publication Year :
2021

Abstract

Background: Multiple sclerosis (MS) symptoms are expected to aggregate in specific patterns across different stages of the disease. Here, we studied the clustering of onset symptoms and examined their characteristics, comorbidity patterns and associations with potential risk factors. Methods: Data stem from the Swiss Multiple Sclerosis Registry, a prospective study including 2,063 participants by November 2019. MS onset symptoms were clustered using latent class analysis (LCA). The latent classes were further examined using information on socio-demographic characteristics, MS-related features, potential risk factors, and comorbid diseases. Results: The LCA model with six classes (frequencies ranging from 12 to 24%) was selected for further analyses. The latent classes comprised a multiple symptoms class with high probabilities across several symptoms, contrasting with two classes with solitary onset symptoms: vision problems and paresthesia. Two gait classes emerged between these extremes: the gait-balance class and the gait-paralysis class. The last class was the fatigue-weakness-class, also accompanied by depression symptoms, memory, and gastro-intestinal problems. There was a moderate variation by sex and by MS types. The multiple symptoms class yielded increased comorbidity with other autoimmune disorders. Similar to the fatigue-weakness class, the multiple symptoms class showed associations with angina, skin diseases, migraine, and lifetime prevalence of smoking. Mononucleosis was more frequently reported in the fatigue-weakness and the paresthesia class. Familial aggregation did not differ among the classes. Conclusions: Clustering of MS onset symptoms provides new perspectives on the heterogeneity of MS. The clusters comprise different potential risk factors and comorbidities. They point toward different risk mechanisms.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2021 Ajdacic-Gross, Steinemann, Horváth, Rodgers, Kaufmann, Xu, Kamm, Kesselring, Manjaly, Zecca, Calabrese, Puhan and Wyl.)

Details

Language :
English
ISSN :
1664-2295
Volume :
12
Database :
MEDLINE
Journal :
Frontiers in neurology
Publication Type :
Academic Journal
Accession number :
34295301
Full Text :
https://doi.org/10.3389/fneur.2021.693440