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01-04-2016 | Neurology and Preclinical Neurological Studies - Short communication

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

Authors: Gilles Allali, Magali Laidet, Francois R. Herrmann, Stéphane Armand, Charlotte Elsworth-Edelsten, Frédéric Assal, Patrice H. Lalive

Published in: Journal of Neural Transmission | Issue 4/2016

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.

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Title: Gait variability in multiple sclerosis: a better falls predictor than EDSS in patients with low disability
Authors: Gilles Allali
Magali Laidet
Francois R. Herrmann
Stéphane Armand
Charlotte Elsworth-Edelsten
Frédéric Assal
Patrice H. Lalive
Publication date: 01-04-2016
Publisher: Springer Vienna
Published in: Journal of Neural Transmission / Issue 4/2016
Print ISSN: 0300-9564
Electronic ISSN: 1435-1463
DOI: https://doi.org/10.1007/s00702-016-1511-z

At a glance: The STEP trials

Springer Medicine

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

Abstract

At a glance: The STEP trials

Springer Medicine

Abstract

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