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Title

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

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Published in Journal of Neural Transmission. 2016, vol. 123, no. 4, p. 447-450
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 Gait disordersFallsDisabilityLongitudinal studyMultiple sclerosis
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PMID: 26846418
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Research groups Laboratoire de cinésiologie (943)
Scléroses en plaques, neuroimmunologie, encéphalite autoimmune expérimentale (843)
Neuropsychologie et neurologie comportementale (951)
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ALLALI, Gilles et al. Gait variability in multiple sclerosis: a better falls predictor than EDSS in patients with low disability. In: Journal of Neural Transmission, 2016, vol. 123, n° 4, p. 447-450. doi: 10.1007/s00702-016-1511-z https://archive-ouverte.unige.ch/unige:84216

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Deposited on : 2016-06-06

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