Gait Profile Score in multiple sclerosis patients with low disability.
Details
Serval ID
serval:BIB_7A2FBB72DA30
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Gait Profile Score in multiple sclerosis patients with low disability.
Journal
Gait & posture
ISSN
1879-2219 (Electronic)
ISSN-L
0966-6362
Publication state
Published
Issued date
01/2017
Peer-reviewed
Oui
Volume
51
Pages
169-173
Language
english
Notes
Publication types: Evaluation Study ; Journal Article
Publication Status: ppublish
Publication Status: ppublish
Abstract
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.
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.
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.
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.
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.
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.
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.
Keywords
Adult, Biomechanical Phenomena, Case-Control Studies, Disability Evaluation, Female, Gait, Gait Disorders, Neurologic/physiopathology, Humans, Male, Multiple Sclerosis, Relapsing-Remitting/physiopathology, Predictive Value of Tests, Severity of Illness Index, Clinical gait analysis, Gait profile score, Kinematics, Multiple sclerosis
Pubmed
Web of science
Create date
06/10/2023 7:58
Last modification date
07/10/2023 5:58