Thomas Jacob, Bliss Rebecca, Fields Caitlin, Farnen Tristan, Guess Trent
College of Health Sciences University of Missouri.
Department of Physical Therapy University of Missouri.
Int J Sports Phys Ther. 2025 Mar 1;20(3):392-399. doi: 10.26603/001c.129888. eCollection 2025.
Athletes prematurely cleared to play following concussion increase their risk for subsequent concussion and musculoskeletal injury, leading practitioners to call for low-cost and objective tools to identify lingering neuromotor control deficits following concussion. # PurposeThe purpose of this feasibility study was to determine the usefulness of Mizzou Point-of-care Assessment System (MPASS) measures for creating a discriminant model classifying individuals as being either healthy or in the post-acute phase of concussion (having suffered a concussion within the prior three months).
Cross-sectional.
Ten participants with concussion injury (Mean = 3.9 ± 1.66 wks. post-concussion) and twelve with no concussion within the prior year participated in this study. All participants completed walking (normal, serial subtraction by seven, and head shaking), Romberg balance (eyes open and eyes closed on firm surface), and reaction time tasks while MPASS recorded kinematics, kinetics, and reaction time. Principal component analysis (PCA) was used to reduce the dimensionality of MPASS data.
Using four retained principal components (PCs), the LDA model achieved a statistically significant (p = 0.007) accuracy of 82% with 80% sensitivity and 83% specificity for classifying participants into groups.
This work presents a framework for assessing the discriminative power of multidimensional and clinically feasible tools for assessing human movement.
脑震荡后过早被允许参赛的运动员发生后续脑震荡和肌肉骨骼损伤的风险会增加，这促使从业者寻求低成本且客观的工具，以识别脑震荡后持续存在的神经运动控制缺陷。# 目的本可行性研究的目的是确定密苏里即时护理评估系统（MPASS）测量方法在创建一个判别模型方面的有效性，该模型可将个体分类为健康或处于脑震荡后急性期（在过去三个月内遭受过脑震荡）。
横断面研究。
十名脑震荡损伤患者（脑震荡后平均3.9 ± 1.66周）和十二名在过去一年中未发生过脑震荡的患者参与了本研究。所有参与者在MPASS记录运动学、动力学和反应时间的同时，完成了行走（正常行走、7的连减和摇头行走）、罗姆伯格平衡测试（在坚实表面睁眼和闭眼）以及反应时间任务。主成分分析（PCA）用于降低MPASS数据的维度。
使用四个保留的主成分（PC），线性判别分析（LDA）模型在将参与者分类为不同组时，达到了具有统计学意义（p = 0.007）的82%的准确率，灵敏度为80%，特异度为83%。
这项工作为评估用于评估人体运动的多维且临床可行工具的判别能力提供了一个框架。
3级。
