Literature DB >> 31791868

Evaluation of gait in Duchenne Muscular Dystrophy: Relation of 3D gait analysis to clinical assessment.

Alberto Romano1, Martina Favetta1, Tommaso Schirinzi2, Susanna Summa1, Silvia Minosse1, Adele D'Amico3, Michela Catteruccia3, Maurizio Petrarca4, Enrico Castelli1, Enrico Bertini3, Gessica Vasco1.   

Abstract

Walking ability in Duchenne Muscular Dystrophy (DMD) deteriorates progressively until complete loss of the function. Interventions aimed at maintaining ambulatory ability relies on accurate clinical-based scores and evaluations of walking. This kind of assessment has intrinsic limitations. A 3D optoelectronic system could provide elements useful for the functional evaluation of patients with DMD. Nineteen boys with DMD were evaluated using the 6-Minutes Walking Test, North Star Ambulatory Assessment and 3D gait analysis. Participants' gait parameters were compared to those of an age-matched control group and correlated with standard clinical scores. Seventeen kinematic variables differed between DMD and control groups. Strong correlations with North Star Ambulatory Assessment were found for stride width, gait velocity and ankle angles on the sagittal plane. The 6-Minutes Walking test did not correlate with investigated kinematic variables but showed a correlation with North Star Ambulatory Assessment. Our data support the reported DMD gait pattern characterized by increased anterior pelvic tilt and ankle plantar flexion. The stride width and ankle kinematics emerged as the main representative gait parameters of DMD global ambulatory status. Although preliminary, our findings suggest that 3D gait analysis may provide useful objective and accurate parameters reflecting the functional ability of individuals with DMD.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  3D gait analysis; 6-minutes walking test; Duchenne Muscular Dystrophy; Gait pattern; Kinematics; North Star Ambulatory Assessment

Mesh:

Year:  2019        PMID: 31791868     DOI: 10.1016/j.nmd.2019.10.007

Source DB:  PubMed          Journal:  Neuromuscul Disord        ISSN: 0960-8966            Impact factor:   4.296


  3 in total

1.  Longitudinal Alterations in Gait Features in Growing Children With Duchenne Muscular Dystrophy.

Authors:  Ines Vandekerckhove; Marleen Van den Hauwe; Nathalie De Beukelaer; Elze Stoop; Marije Goudriaan; Margaux Delporte; Geert Molenberghs; Anja Van Campenhout; Liesbeth De Waele; Nathalie Goemans; Friedl De Groote; Kaat Desloovere
Journal:  Front Hum Neurosci       Date:  2022-06-02       Impact factor: 3.473

2.  Comparison of the Gait Biomechanical Constraints in Three Different Type of Neuromotor Damages.

Authors:  Silvia Minosse; Martina Favetta; Alberto Romano; Alessandra Pisano; Susanna Summa; Tommaso Schirinzi; Gessica Vasco; Enrico Castelli; Maurizio Petrarca
Journal:  Front Hum Neurosci       Date:  2022-03-29       Impact factor: 3.169

3.  Real-Time Exercise Feedback through a Convolutional Neural Network: A Machine Learning-Based Motion-Detecting Mobile Exercise Coaching Application.

Authors:  Jinyoung Park; Seok Young Chung; Jung Hyun Park
Journal:  Yonsei Med J       Date:  2022-01       Impact factor: 2.759

  3 in total

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