@article{ref1,
title="Gait variability in multiple sclerosis: a better falls predictor than EDSS in patients with low disability",
journal="Journal of neural transmission",
year="2016",
author="Allali, Gilles and Laidet, Magali and Herrmann, François R. and Armand, Stéphane and Elsworth-Edelsten, Charlotte and Assal, Frédéric and Lalive, Patrice H.",
volume="123",
number="4",
pages="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.<p /> <p>Language: en</p>",
language="en",
issn="0300-9564",
doi="10.1007/s00702-016-1511-z",
url="http://dx.doi.org/10.1007/s00702-016-1511-z"
}