Citation

Allali G, Laidet M, Herrmann FR, Armand S, Elsworth-Edelsten C, Assal F, Lalive PH. J. Neural. Transm. 2016; 123(4): 447-450.

Affiliation

Division of Laboratory Medicine, Department of Genetic and Laboratory Medicine, University Hospital of Geneva, 1211, Geneva, Switzerland.

Copyright

(Copyright © 2016, Holtzbrinck Springer Nature Publishing Group)

DOI

10.1007/s00702-016-1511-z

PMID

26846418

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.

Language: en