Key determinants of impaired gait performance in adults with neuromuscular diseases: a multiparametric and multimodal analysis

Neuromuscular diseases (NMD) are associated with gait impairments affecting the quality of life. Contributing factors such as the severity of muscle weakness or kinematics alterations have mostly been studied separately. Therefore, the key determinants of impaired gait in patients with NMD remain unclear. This work aimed at investigating the major determinants of gait impairments through the assessment of muscle weakness, lower limb kinematic, muscle activation, and spatiotemporal parameters within a single session in patients and controls. Patients with NMD and controls were studied. After assessing maximal voluntary strength, subjects underwent a 2-min walk test (2MWT) while recording electromyography, kinematics, perceived exertion, dyspnea, and pain using verbal scales. A penalized regression was used to identify the main contributing variable to impaired gait performance and to build a predictive model for validation; 28 with NMD and 17 controls were included. Eight major features of 2MWT gait performance were identified by the model: toe-off, stride length, step duration, cadence, ankle angle at foot strike, knee extensors strength, and timing variability in hip flexion-extension. The LASSO model provided accurate estimation of gait performance with 5.4% of average absolute error and 0.89 of <i>R</i><sup>2</sup>. Substantial alterations in muscle activation patterns and lower limb kinematics were found in patients compared with controls. This study provides insights regarding the gait impairments in patients with NMD. Identified determinants can guide targeted interventions to improve gait and quality of life. More research with larger cohorts and diverse conditions is needed to confirm and broaden these findings.<b>NEW & NOTEWORTHY</b> This is the first study aiming to identify the key determinants of impaired gait in patients with neuromuscular diseases using a comprehensive approach. Lower limb muscle activation, joint kinematics, spatiotemporal gait parameters, strength capacity and perceived stability, exertion, dyspnea, and pain were measured during a single gait session. Using a penalized regression model, 8 major determinants were identified among the 74 assessed. Delayed toe-off time was identified as the factor with the greatest relative importance.

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Publication Details

Journal
Journal of Applied Physiology
Published
2025-04-24
DOI
https://doi.org/10.1152/japplphysiol.00287.2024
Citations
5
Primary Topic
Neurogenetic and Muscular Disorders Research
Type
article
Field-Weighted Citation Impact
8.13

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article

Key determinants of impaired gait performance in adults with neuromuscular diseases: a multiparametric and multimodal analysis

Jean‐Yves Hogrel, Damien Bachasson, Guillaume Bassez, Olivier Benvéniste et al.
5 citations
Journal of Applied Physiology
Neurogenetic and Muscular Disorders Research
8.13
article

Key determinants of impaired gait performance in adults with neuromuscular diseases: a multiparametric and multimodal analysis

Jean‐Yves Hogrel, Damien Bachasson, Guillaume Bassez, Olivier Benvéniste, Romain Feigean, Frédéric Fer, Cylia Afroun-Roca, Cloé Guerrini, Juliette Souchu
article en
5 citations

Abstract

Neuromuscular diseases (NMD) are associated with gait impairments affecting the quality of life. Contributing factors such as the severity of muscle weakness or kinematics alterations have mostly been studied separately. Therefore, the key determinants of impaired gait in patients with NMD remain unclear. This work aimed at investigating the major determinants of gait impairments through the assessment of muscle weakness, lower limb kinematic, muscle activation, and spatiotemporal parameters within a single session in patients and controls. Patients with NMD and controls were studied. After assessing maximal voluntary strength, subjects underwent a 2-min walk test (2MWT) while recording electromyography, kinematics, perceived exertion, dyspnea, and pain using verbal scales. A penalized regression was used to identify the main contributing variable to impaired gait performance and to build a predictive model for validation; 28 with NMD and 17 controls were included. Eight major features of 2MWT gait performance were identified by the model: toe-off, stride length, step duration, cadence, ankle angle at foot strike, knee extensors strength, and timing variability in hip flexion-extension. The LASSO model provided accurate estimation of gait performance with 5.4% of average absolute error and 0.89 of <i>R</i><sup>2</sup>. Substantial alterations in muscle activation patterns and lower limb kinematics were found in patients compared with controls. This study provides insights regarding the gait impairments in patients with NMD. Identified determinants can guide targeted interventions to improve gait and quality of life. More research with larger cohorts and diverse conditions is needed to confirm and broaden these findings.<b>NEW & NOTEWORTHY</b> This is the first study aiming to identify the key determinants of impaired gait in patients with neuromuscular diseases using a comprehensive approach. Lower limb muscle activation, joint kinematics, spatiotemporal gait parameters, strength capacity and perceived stability, exertion, dyspnea, and pain were measured during a single gait session. Using a penalized regression model, 8 major determinants were identified among the 74 assessed. Delayed toe-off time was identified as the factor with the greatest relative importance.

Journal of Applied PhysiologyVol. 138(5)
Inserm (FR), Sorbonne Université (FR), Assistance Publique – Hôpitaux de Paris (FR), Institut de Myologie (FR), Pitié-Salpêtrière Hospital (FR)
King Baudouin Foundation United States, French Muscular Dystrophy Association
Openalex Percentile: Top 3%
Neurogenetic and Muscular Disorders Research
8.13
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