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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References
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We are grateful to the patients for their participations to the study.
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Patrice H Lalive and Gilles Allali were supported by a grant from the Swiss Multiple Sclerosis Society and an unrestricted grant from Novartis. Gilles Allali was supported by the Baasch-Medicus Foundation.
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The authors declare that they have no conflict of interest.
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Allali, G., Laidet, M., Herrmann, F.R. et al. Gait variability in multiple sclerosis: a better falls predictor than EDSS in patients with low disability. J Neural Transm 123, 447–450 (2016). https://doi.org/10.1007/s00702-016-1511-z
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DOI: https://doi.org/10.1007/s00702-016-1511-z