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Quantitative Changes in Gait Parameters After Cycling Among Multiple Sclerosis Patients With Ataxia:A Pilot Study Publisher



Rahimibarghani S1 ; Emamirazavi SZ1 ; Naser Moghadasi A2 ; Azadvari M1 ; Shojaee Fard M3 ; Rahimidehgolan S1
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Authors Affiliations
  1. 1. Department of Physical Medicine and Rehabilitation, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Djavad Mowafaghian Research Center, Sharif University of Technology, Tehran, Iran

Source: Journal of Modern Rehabilitation Published:2022


Abstract

Introduction: Cerebellar ataxia is a common symptom of multiple sclerosis (MS), particularly in progressive forms, where gait and balance problems are the most debilitating symptoms. Exercise training is a critical component of rehabilitation in managing equilibrium dysfunction, and stationary bicycling is a safe, feasible, and effective method to reduce the symptom. Clinical walking performance tests are typically used to assess gait in these patients. However, gait analysis technologies are more sensitive and accurate at detecting subtle and subclinical changes. The purpose of this study was to determine the changes in gait parameters in MS patients with ataxic gait after using a stationary bicycle. Materials and Methods: Ten secondary progressive MS patients with ataxic gait and a mean expanded disability status scale (EDSS) of four were recruited. The participants cycled on a stationary bike. Gait analysis was performed before and after 12 sessions of cycling. It included spatiotemporal and balance parameter measurements. Results: Gait analysis showed statistically significant changes in spatiotemporal parameters, including speed (P=0.02, r=-0.51), and stride length (P=0.01, r=-0.63). Of balance-related indices, the mediolateral (ML) center of pressure (COP) displacement, anterior and posterior COP overshoot, and COP velocity changes were statistically remarkable after the intervention respectively. (P=0.01, r=-0.63), (P=0.02, r=-0.51), (P=0.03, r=-0.49), (P=0.01, r=-0.54). Conclusion: Gait analysis is applicable to track changes following rehabilitation in individuals with MS. The results indicate that using a stationary bicycle can improve some spatiotemporal and COP-related parameters. Copyright © 2022 Tehran University of Medical Sciences. Published by Tehran University of Medical Sciences.
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