Gait variability in multiple sclerosis: a better falls predictor than EDSS in patients with low disability.
Details
Serval ID
serval:BIB_6DED5E30736C
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Gait variability in multiple sclerosis: a better falls predictor than EDSS in patients with low disability.
Journal
Journal of neural transmission
ISSN
1435-1463 (Electronic)
ISSN-L
0300-9564
Publication state
Published
Issued date
04/2016
Peer-reviewed
Oui
Volume
123
Number
4
Pages
447-450
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
Abstract
This longitudinal study aims to compare the role of stride time variability (STV) and EDSS for predicting falls in 50 patients with multiple sclerosis with low disability. 21.7 % developed falls (follow-up: 22 months). STV (IRR: 1.73, 95 % CI: 1.23-2.41, p = 0.001) and EDSS (IRR: 2.29, 95 % CI: 1.35-3.90, p = 0.002) were associated with the number of falls. Adding STV to EDSS improves the predictive power of the model from 21 to 26 %, but not adding EDSS to STV.
Keywords
Accidental Falls, Adult, Disability Evaluation, Female, Gait, Humans, Male, Multiple Sclerosis, Relapsing-Remitting, Severity of Illness Index, Disability, Falls, Gait disorders, Longitudinal study, Multiple sclerosis
Pubmed
Web of science
Create date
06/10/2023 9:05
Last modification date
07/10/2023 6:58
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