UNIGE document Scientific Article
previous document  unige:100707  next document
add to browser collection

Gait Profile Score in multiple sclerosis patients with low disability

Published in Gait & posture. 2017, vol. 51, p. 169-173
Abstract Background Gait abnormalities are subtle in multiple sclerosis (MS) patients with low disability and need to be better determined. As a biomechanical approach, the Gait Profile Score (GPS) is used to assess gait quality by combining nine gait kinematic variables in one single value. This study aims i) to establish if the GPS can detect gait impairments and ii) to compare GPS with discrete spatiotemporal and kinematic parameters in low-disabled MS patients. Method Thirty-four relapsing-remitting MS patients with an Expanded Disability Status Scale (EDSS) score ≤2 (mean age 36.32 ± 8.72 years; 12 men, 22 women; mean EDSS 1.19 ± 0.8) and twenty-two healthy controls (mean age 36.85 ± 7.87 years; 6 men, 16 women) matched for age, weight, height, body mass index and gender underwent an instrumented gait analysis. Results No significant difference in GPS values and in spatiotemporal parameters was found between patients and controls. However patients showed a significant alteration at the ankle and pelvis level. Conclusion GPS fails to identify gait abnormalities in low-disabled MS patients, although kinematic analysis revealed subtle gait alterations. Future studies should investigate other methods to assess gait impairments with a gait score in low-disabled MS patients.
PMID: 27776271
Full text
Article (Published version) (938 Kb) - document accessible for UNIGE members only Limited access to UNIGE
Research groups Epilepsie et Chirurgie (149)
Laboratoire de cinésiologie (943)
Neuropsychologie et neurologie comportementale (951)
Scléroses en plaques, neuroimmunologie, encéphalite autoimmune expérimentale (843)
(ISO format)
MOREL, Eric et al. Gait Profile Score in multiple sclerosis patients with low disability. In: Gait & Posture, 2017, vol. 51, p. 169-173. doi: 10.1016/j.gaitpost.2016.10.013 https://archive-ouverte.unige.ch/unige:100707

391 hits

1 download


Deposited on : 2017-12-20

Export document
Format :
Citation style :