Muscle weakness but also contractures contribute to the progressive gait pathology in children with Duchenne muscular dystrophy: a simulation study.

IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL
Ines Vandekerckhove, Lars D'Hondt, Dhruv Gupta, Bram Van Den Bosch, Marleen Van den Hauwe, Nathalie Goemans, Liesbeth De Waele, Anja Van Campenhout, Kaat Desloovere, Friedl De Groote
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Abstract

Background: Muscle weakness and contractures cause gait deficits in children with Duchenne muscular dystrophy (DMD) but their relative contributions are poorly understood and hence it is unclear whether contractures should be treated. Therefore, we aimed to differentiate the effect of muscle weakness in isolation from weakness and contractures combined on the gait patterns.

Methods: We used computer simulations that generate gait patterns based on a musculoskeletal model (without relying on experimental data) to establish the relationship between muscle impairments and gait deviations. We previously collected a longitudinal database of 137 repeated measurements in 30 boys with DMD and found that the data measured through 3D gait analysis could be clustered in three gait patterns. We estimated weakness based on data from fixed dynamometry, and contractures based on goniometry and clinical measures. Foot deformities were modeled by reducing the height of all foot segments and decreasing the strength of the intrinsic foot muscles. We created musculoskeletal models that either represented (1) the mean weakness; (2) the mean weakness and contractures; or (3) the mean weakness, contractures and foot deformities, in each gait pattern.

Results: Simulations based on models with both weakness and contractures captured most (but not all) experimentally observed gait deviations, demonstrating the validity of our approach. While muscle weakness was primarily responsible for gait deviations, muscle contractures and foot deformities further contributed to gait deviations. Interestingly, the simulations predict that the combination of increasing weakness and contractures rather than increasing weakness alone causes loss of ambulation for the most affected gait pattern.

Conclusions: Predictive simulations have the potential to elucidate causal relationships between muscle impairments and gait deviations in boys with DMD. In the future, they could be used to design targeted interventions (e.g. stretching, assistive devices) to prolong ambulation.

肌肉无力和挛缩有助于儿童杜氏肌营养不良的进行性步态病理:一项模拟研究。
背景:肌肉无力和挛缩导致儿童杜氏肌营养不良症(DMD)的步态缺陷,但他们的相对贡献知之甚少,因此不清楚是否应该治疗挛缩。因此,我们的目的是区分肌肉无力与无力和挛缩合并对步态模式的影响。方法:我们使用基于肌肉骨骼模型(不依赖实验数据)的计算机模拟生成步态模式,以建立肌肉损伤与步态偏差之间的关系。我们之前收集了30名患有DMD的男孩137次重复测量的纵向数据库,发现通过3D步态分析测量的数据可以聚类为三种步态模式。我们根据固定动力测量的数据来估计软弱,根据角度测量和临床测量来估计挛缩。通过降低足部所有节段的高度和减少足部固有肌肉的力量来模拟足部畸形。我们创建的肌肉骨骼模型要么代表(1)平均虚弱;(2)平均无力和挛缩;或(3)每种步态模式的平均虚弱、挛缩和足部畸形。结果:基于虚弱和挛缩模型的模拟捕获了大多数(但不是全部)实验观察到的步态偏差,证明了我们方法的有效性。虽然肌肉无力是步态偏差的主要原因,但肌肉挛缩和足部畸形进一步导致了步态偏差。有趣的是,模拟预测,对于最受影响的步态模式,虚弱和挛缩的结合而不是虚弱的单独增加会导致行走能力丧失。结论:预测模拟有可能阐明DMD男孩肌肉损伤和步态偏差之间的因果关系。在未来,它们可用于设计有针对性的干预措施(例如拉伸,辅助装置)以延长活动时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation 工程技术-工程:生物医学
CiteScore
9.60
自引率
3.90%
发文量
122
审稿时长
24 months
期刊介绍: Journal of NeuroEngineering and Rehabilitation considers manuscripts on all aspects of research that result from cross-fertilization of the fields of neuroscience, biomedical engineering, and physical medicine & rehabilitation.
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