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人类脊髓损伤后肌肉疲劳的预测模型

Predictive model of muscle fatigue after spinal cord injury in humans.

作者信息

Shields Richard K, Chang Ya-Ju, Dudley-Javoroski Shauna, Lin Cheng-Hsiang

机构信息

Graduate Program in Physical Therapy and Rehabilitation Science, University of Iowa, 1-252 MEB, Iowa City, Iowa 52240-1190, USA.

出版信息

Muscle Nerve. 2006 Jul;34(1):84-91. doi: 10.1002/mus.20564.

DOI:10.1002/mus.20564
PMID:16634064
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3272267/
Abstract

The fatigability of paralyzed muscle limits its ability to deliver physiological loads to paralyzed extremities during repetitive electrical stimulation. The purposes of this study were to determine the reliability of measuring paralyzed muscle fatigue and to develop a model to predict the temporal changes in muscle fatigue that occur after spinal cord injury (SCI). Thirty-four subjects underwent soleus fatigue testing with a modified Burke electrical stimulation fatigue protocol. The between-day reliability of this protocol was high (intraclass correlation, 0.96). We fit the fatigue index (FI) data to a quadratic-linear segmental polynomial model. FI declined rapidly (0.3854 per year) for the first 1.7 years, and more slowly (0.01 per year) thereafter. The rapid decline of FI immediately after SCI implies that a "window of opportunity" exists for the clinician if the goal is to prevent these changes. Understanding the timing of change in muscle endurance properties (and, therefore, load-generating capacity) after SCI may assist clinicians when developing therapeutic interventions to maintain musculoskeletal integrity.

摘要

瘫痪肌肉的易疲劳性限制了其在重复电刺激期间向瘫痪肢体施加生理负荷的能力。本研究的目的是确定测量瘫痪肌肉疲劳的可靠性,并建立一个模型来预测脊髓损伤(SCI)后肌肉疲劳随时间的变化。34名受试者采用改良的伯克电刺激疲劳方案进行比目鱼肌疲劳测试。该方案的日间可靠性较高(组内相关系数为0.96)。我们将疲劳指数(FI)数据拟合为二次线性分段多项式模型。FI在最初的1.7年中迅速下降(每年0.3854),此后下降较慢(每年0.01)。SCI后FI的迅速下降意味着,如果目标是预防这些变化,临床医生存在一个“机会窗口”。了解SCI后肌肉耐力特性(以及由此产生的负荷产生能力)变化的时间,可能有助于临床医生制定维持肌肉骨骼完整性的治疗干预措施。

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本文引用的文献

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The effects of fatigue on the torque-frequency curve of the human paralysed soleus muscle.疲劳对人瘫痪比目鱼肌扭矩-频率曲线的影响。
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