Risk factors and prevalence of strokes in patients with multiple sclerosis

Introduction . Numerous data on increased risk of stroke in people with multiple sclerosis (MS) needs clarification in view of shared pathogenesis and immunotherapy risks. The objective was to assess risk factors, prevalence and misdiagnosis of stroke in MS patients for future prevention optimization. Methods and materials . Cross-sectional retrospective study of risk factors, prevalence and misdiagnosis of stroke in cohort of 563 MS patients aged 40 years and older. Results. The cohort under study was representative in terms of gender ratio and MS variants. Stroke rate established as 1.78 % in MS type and gender representative cohort. Ischemic stroke was in 9/10 cases and ischemic venous stroke with hemorrhage in 1/10. Stroke misdiagnosis at MS first presentation estimated as 1.95 %. Stroke risk factors seems to be less prevalent in MS cohort compared to general population, with ischemic heart disease (OR=23.9) and arterial hypertension (OR=7.2) as most significant risk indicators. Conclusion. Stroke prevalence in MS patients may be lower than that in general population. Low rate of arterial hypertension (25.4 %), ischemic heart disease (3.4 %), smoking (10.7 %), diabetes mellitus (3.2 %), and obesity (9.1 %) may influence stroke low rate in MS. Arterial hypertension and ischemic heart disease are the most significant stroke risk factors in MS.

Authors

Institutions

Publication Details

Journal
The Scientific Notes of the Pavlov University
Published
2024-11-03
DOI
https://doi.org/10.24884/1607-4181-2024-31-2-62-72
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Risk factors and prevalence of strokes in patients with multiple sclerosis

Y. M. Kiryanov, V. M. Lebedev, N. А. Totolyan
The Scientific Notes of the Pavlov University
Multiple Sclerosis Research Studies
article

Risk factors and prevalence of strokes in patients with multiple sclerosis

Y. M. Kiryanov, V. M. Lebedev, N. А. Totolyan
article en

Abstract

Introduction . Numerous data on increased risk of stroke in people with multiple sclerosis (MS) needs clarification in view of shared pathogenesis and immunotherapy risks. The objective was to assess risk factors, prevalence and misdiagnosis of stroke in MS patients for future prevention optimization. Methods and materials . Cross-sectional retrospective study of risk factors, prevalence and misdiagnosis of stroke in cohort of 563 MS patients aged 40 years and older. Results. The cohort under study was representative in terms of gender ratio and MS variants. Stroke rate established as 1.78 % in MS type and gender representative cohort. Ischemic stroke was in 9/10 cases and ischemic venous stroke with hemorrhage in 1/10. Stroke misdiagnosis at MS first presentation estimated as 1.95 %. Stroke risk factors seems to be less prevalent in MS cohort compared to general population, with ischemic heart disease (OR=23.9) and arterial hypertension (OR=7.2) as most significant risk indicators. Conclusion. Stroke prevalence in MS patients may be lower than that in general population. Low rate of arterial hypertension (25.4 %), ischemic heart disease (3.4 %), smoking (10.7 %), diabetes mellitus (3.2 %), and obesity (9.1 %) may influence stroke low rate in MS. Arterial hypertension and ischemic heart disease are the most significant stroke risk factors in MS.

The Scientific Notes of the Pavlov UniversityVol. 31(2)
Institute of the Human Brain (RU)
Good health and well-being
Openalex Percentile: Top 68%
Multiple Sclerosis Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.