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Updated: Feb 12, 2026

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
Published on: July 19, 2019
Gait variability in multiple sclerosis: a better falls predictor than EDSS in patients with low disability
Gilles Allali1,2, Magali Laidet3, Francois R Herrmann4
1Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals and Faculty of Medicine, University of Geneva, 4 Rue Gabrielle-Perret-Gentil, 1211, Geneva, Switzerland. gilles.allali@hcuge.ch.
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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