Exercise-induced changes in gait kinematics in multiple sclerosis with minimal neurological disability.


Journal

Multiple sclerosis and related disorders
ISSN: 2211-0356
Titre abrégé: Mult Scler Relat Disord
Pays: Netherlands
ID NLM: 101580247

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 24 08 2020
revised: 09 11 2020
accepted: 12 11 2020
pubmed: 25 11 2020
medline: 15 5 2021
entrez: 24 11 2020
Statut: ppublish

Résumé

Exercise-induced gait deterioration is a frequently encountered symptom that limits ambulation throughout the clinical course, becoming more prominent with increasing neurological disability in people with MS (pwMS). We attempted to objectively document exercise-induced gait changes in pwMS with minimal neurological disability and stable disease. Gait kinematics and spatio-temporal parameters were recorded using 3D motion analysis before and after a 20-minute treadmill walk (Group A, n=15)/run (Group B, n=15) at a self-selected speed in pwMS and compared with healthy controls (n=15). Gait analysis revealed a significant decrease in peak ankle dorsiflexion in swing of the most affected leg, post-exercise task, in both Group A (EDSS 2.5-3.5) and Group B (EDSS 1-2.5) and not in healthy controls. Fourteen out of 30 MS participants showed an exercise-induced gait deterioration, based on minimal detectable change. Pre-exercise gait parameters in Group A showed a significantly higher peak dorsiflexion in swing with shorter step length and higher cadence, whereas Group B was comparable to healthy controls. The detection of exercise-induced gait deterioration (foot drop) in pwMS with minimal neurological disability and stable disease indicates the potential of gait kinematics, before and after an exercise task, to monitor subtle neurological deficits from an early stage of MS.

Sections du résumé

BACKGROUND BACKGROUND
Exercise-induced gait deterioration is a frequently encountered symptom that limits ambulation throughout the clinical course, becoming more prominent with increasing neurological disability in people with MS (pwMS).
OBJECTIVE OBJECTIVE
We attempted to objectively document exercise-induced gait changes in pwMS with minimal neurological disability and stable disease.
METHODS METHODS
Gait kinematics and spatio-temporal parameters were recorded using 3D motion analysis before and after a 20-minute treadmill walk (Group A, n=15)/run (Group B, n=15) at a self-selected speed in pwMS and compared with healthy controls (n=15).
RESULTS RESULTS
Gait analysis revealed a significant decrease in peak ankle dorsiflexion in swing of the most affected leg, post-exercise task, in both Group A (EDSS 2.5-3.5) and Group B (EDSS 1-2.5) and not in healthy controls. Fourteen out of 30 MS participants showed an exercise-induced gait deterioration, based on minimal detectable change. Pre-exercise gait parameters in Group A showed a significantly higher peak dorsiflexion in swing with shorter step length and higher cadence, whereas Group B was comparable to healthy controls.
CONCLUSION CONCLUSIONS
The detection of exercise-induced gait deterioration (foot drop) in pwMS with minimal neurological disability and stable disease indicates the potential of gait kinematics, before and after an exercise task, to monitor subtle neurological deficits from an early stage of MS.

Identifiants

pubmed: 33232909
pii: S2211-0348(20)30704-5
doi: 10.1016/j.msard.2020.102630
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102630

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Georgia Andreopoulou (G)

Centre for Health, Activity and Rehabilitation Research, Queen Margaret University, Musselburgh, UK.

Thomas H Mercer (TH)

Centre for Health, Activity and Rehabilitation Research, Queen Margaret University, Musselburgh, UK.

Julia Guerrero Enriquez (JG)

Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.

Matthew Justin (M)

Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, UK.

Nicola MacLeod (N)

Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, UK.

Emily Harrison (E)

Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, UK.

Don J Mahad (DJ)

Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, UK. Electronic address: don.mahad@ed.ac.uk.

Marietta L van der Linden (ML)

Centre for Health, Activity and Rehabilitation Research, Queen Margaret University, Musselburgh, UK. Electronic address: mvanderlinden@qmu.ac.uk.

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Classifications MeSH