Cross-prevalence of multiple sclerosis and stroke evaluated on cohorts of four independent specialty medical centers.

Cerebrovascular accident Comorbidity Multiple sclerosis Prevalence Stroke

Journal

Multiple sclerosis and related disorders
ISSN: 2211-0356
Titre abrégé: Mult Scler Relat Disord
Pays: Netherlands
ID NLM: 101580247

Informations de publication

Date de publication:
18 Jul 2024
Historique:
received: 12 05 2024
revised: 13 07 2024
accepted: 14 07 2024
medline: 14 8 2024
pubmed: 14 8 2024
entrez: 13 8 2024
Statut: aheadofprint

Résumé

Numerous sources reported the increased risk of cerebrovascular accidents (CVA) in individuals with multiple sclerosis (MS), without a single study thus far challenging the conclusion. Before addressing hypothesis on potential cause-effect relationships, a question whether there are indeed frequent comorbidities between MS and CVA needed to be answered. Authors designed a study to evaluate substantial populations of four independent neurology centers with the purpose to assess the prevalence of CVA diagnosis in patients with MS, and vice versa. Data of subjects meeting enrollment criteria were entered into a single database. Authors compared obtained data with the MS and CVA prevalences in the populations of specific countries. Of the 1881 subjects' records, the main diagnosis was MS for 51.5% and CVA for 48.5%. The CVA prevalence as a secondary diagnosis among MS subjects was 1.47% in USA cohort and 1.65% in combined USA+ Russian Federation (RF) cohorts, which is lower than known prevalence of stroke in adult population of these regions. The prevalence of MS as a secondary diagnosis among subjects with stroke in USA cohort was 0.4% and in combined USA+RF cohorts was 0.33%, which is higher, but not statistically different from calculated MS prevalence in both USA and RF populations combined. Thus, authors found that prevalence of CVA in cohorts with MS of 2 independent centers was at least not higher, than that in general population, which differs from previously published data.

Sections du résumé

BACKGROUND BACKGROUND
Numerous sources reported the increased risk of cerebrovascular accidents (CVA) in individuals with multiple sclerosis (MS), without a single study thus far challenging the conclusion. Before addressing hypothesis on potential cause-effect relationships, a question whether there are indeed frequent comorbidities between MS and CVA needed to be answered.
METHODS METHODS
Authors designed a study to evaluate substantial populations of four independent neurology centers with the purpose to assess the prevalence of CVA diagnosis in patients with MS, and vice versa. Data of subjects meeting enrollment criteria were entered into a single database. Authors compared obtained data with the MS and CVA prevalences in the populations of specific countries.
RESULTS RESULTS
Of the 1881 subjects' records, the main diagnosis was MS for 51.5% and CVA for 48.5%. The CVA prevalence as a secondary diagnosis among MS subjects was 1.47% in USA cohort and 1.65% in combined USA+ Russian Federation (RF) cohorts, which is lower than known prevalence of stroke in adult population of these regions. The prevalence of MS as a secondary diagnosis among subjects with stroke in USA cohort was 0.4% and in combined USA+RF cohorts was 0.33%, which is higher, but not statistically different from calculated MS prevalence in both USA and RF populations combined.
CONCLUSION CONCLUSIONS
Thus, authors found that prevalence of CVA in cohorts with MS of 2 independent centers was at least not higher, than that in general population, which differs from previously published data.

Identifiants

pubmed: 39137567
pii: S2211-0348(24)00349-3
doi: 10.1016/j.msard.2024.105772
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105772

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest Authors declare there is no conflict of interests.

Auteurs

Regina Berkovich (R)

LAC+USC Neurology; Regina Berkovich MD, PhD Inc, USA. Electronic address: reginaberkovichmd@gmail.com.

Alexey Y Sokolov (AY)

Pavlov First Saint Petersburg State Medical University, Russian Federation; Pavlov Institute of Physiology of the Russian Academy of Sciences, Russian Federation.

Natalia A Totolyan (NA)

Pavlov First Saint Petersburg State Medical University, Russian Federation.

Elena V Verbitskaya (EV)

Pavlov First Saint Petersburg State Medical University, Russian Federation.

Aida A Yakupova (AA)

Kazan State Medical University, Tatarstan, Russian Federation.

Jonathan Eskenazi (J)

Cedars Sinai Medical Center, UCLA Neurology, USA.

Classifications MeSH