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Classifying and predicting endurance outcomes of α2-adrenergic agonist intervention in spinal cord injury

机译:α 2 -肾上腺素能激动剂干预脊髓损伤的耐力结局分类和预测

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Spinal cord injury (SCI) is a traumatic condition that can lead to both functional and neuromuscular impairments. Spasticity in the muscles surrounding the ankle joint caused by hypertonia is often reported as a complication. We investigated whether a pharmacological intervention using Tizanidine, an anti-spastic medication acting as an α-adrenergic agonist, could lead to improvements in walking endurance. We placed subjects on a 4-week program and measured the change in clinical measures of walking speed, endurance, and mobility. We used growth mixture modeling (GMM) to class subjects into groups based on recovery patterns. Two classes of recovery were found by GMM: high and low functioning. Radom coefficient regression (RCR) was then used to identify significant changes over time. Statistically significant improvements in walking endurance were shown for the high functioning group. However, a small number of subjects in the high functioning group showed improvement greater than the smallest real difference (SRD), which indicates a clinical significance as well. We also investigated the extent to which these recovery patterns can be predicted using baseline measures. Baseline walking endurance was found to be a robust predictor of recovery in walking endurance. Subjects that began the intervention with already higher endurance showed a greater chance of improvement in endurance over time. This information could potentially be used as a fast and reliable assessment tool for clinicians to predict which patient can benefit the most from this intervention prior to prescribing the medication, and thus optimizing cost and resources. Our findings demonstrate that these techniques can be used to characterize and predict the progress of changes to functional impairments due to various types of intervention.
机译:脊髓损伤(SCI)是一种创伤性疾病,可能导致功能和神经肌肉损伤。高渗引起的踝关节周围肌肉痉挛常被报道为并发症。我们调查了使用Tizanidine(一种抗痉挛性药物,充当α-肾上腺素能激动剂)的药理干预措施是否可以改善步行耐力。我们将受试者安排为期4周的计划,并测量了步行速度,耐力和活动性的临床测量指标的变化。我们使用生长混合模型(GMM)根据恢复模式将受试者分为几类。 GMM发现了两类恢复:高功能和低功能。然后使用随机系数回归(RCR)来识别随时间变化的重大变化。高功能组的步行耐力在统计学上有显着改善。但是,高功能组中的少数受试者表现出的改善大于最小真实差异(SRD),这也表明具有临床意义。我们还调查了使用基线测度可以预测这些恢复模式的程度。基线步行耐力被发现是步行耐力恢复的有力预测指标。开始具有较高耐力的干预对象随着时间的推移显示出更大的耐力改善机会。该信息有可能被用作临床医生的快速,可靠的评估工具,以在处方药之前预测哪个患者可以从这种干预中受益最大,从而优化成本和资源。我们的发现表明,这些技术可用于表征和预测由于各种类型的干预而导致的功能障碍变化的进展。

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