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Predictive model of muscle fatigue after spinal cord injury in humans
Journal article   Peer reviewed

Predictive model of muscle fatigue after spinal cord injury in humans

Richard K Shields, Ya-Ju Chang, Shauna Dudley-Javoroski and Cheng-Hsiang Lin
Muscle & nerve, Vol.34(1), pp.84-91
07/2006
DOI: 10.1002/mus.20564
PMCID: PMC3272267
PMID: 16634064

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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.
Predictive Value of Tests Reproducibility of Results Humans Middle Aged Male Tibial Nerve - radiation effects Regression Analysis Tibial Nerve - physiopathology Analysis of Variance Time Factors Models, Biological Muscle, Skeletal - radiation effects Muscle, Skeletal - physiopathology Adolescent Adult Female Spinal Cord Injuries - physiopathology Muscle Fatigue - physiology Electric Stimulation - methods

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