Gait variability in multiple sclerosis: a better falls predictor than EDSS in patients with low disability.

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ID Serval
serval:BIB_6DED5E30736C
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
UNIL/CHUV
Titre
Gait variability in multiple sclerosis: a better falls predictor than EDSS in patients with low disability.
Périodique
Journal of neural transmission
Auteur⸱e⸱s
Allali G., Laidet M., Herrmann F.R., Armand S., Elsworth-Edelsten C., Assal F., Lalive P.H.
ISSN
1435-1463 (Electronic)
ISSN-L
0300-9564
Statut éditorial
Publié
Date de publication
04/2016
Peer-reviewed
Oui
Volume
123
Numéro
4
Pages
447-450
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
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.
Mots-clé
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
OAI-PMH
oai:serval.unil.ch:BIB_6DED5E30736C
DOI
10.1007/s00702-016-1511-z
Pubmed
26846418
Web of science
000373162500012
Création de la notice
06/10/2023 8:05
Dernière modification de la notice
07/10/2023 5:58
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