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Analysis of clinically important factors on the performance of advanced hydraulic microprocessor-controlled exo-prosthetic knee joints based on 899 trial fittings

机译:基于899个试验接头的影响高级液压微机控制的假肢膝关节性能的临床重要因素分析

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摘要

The objective of this work is to evaluate whether clinically important factors may predict an individual's capability to utilize the functional benefits provided by an advanced hydraulic, microprocessor-controlled exo-prosthetic knee component.This retrospective cross-sectional cohort analysis investigated the data of above knee amputees captured during routine trial fittings. Prosthetists rated the performance indicators showing the functional benefits of the advanced maneuvering capabilities of the device. Subjects were asked to rate their perception. Simple and multiple linear and logistic regression was applied.Data from 899 subjects with demographics typical for the population were evaluated. Ability to vary gait speed, perform toileting, and ascend stairs were identified as the most sensitive performance predictors. Prior C-Leg users showed benefits during advanced maneuvering. Variables showed plausible and meaningful effects, however, could not claim predictive power. Mobility grade showed the largest effect but also failed to be predictive.Clinical parameters such as etiology, age, mobility grade, and others analyzed here do not suffice to predict individual potential. Daily walking distance may pose a threshold value and be part of a predictive instrument. Decisions based solely on single parameters such as mobility grade rating or walking distance seem to be questionable.
机译:这项工作的目的是评估临床上重要的因素是否可以预测个人利用先进的液压,微处理器控制的假肢膝关节假体提供的功能益处的能力。这项回顾性横断面队列分析研究了上述膝关节的数据在常规试穿期间捕获的截肢者。修复专家对性能指标进行了评级,这些指标表明了该设备先进的操纵功能所具有的功能优势。要求受试者评价他们的看法。应用简单多元线性和逻辑回归分析。对来自899位具有典型人口统计学特征的受试者的数据进行了评估。改变步态速度,上厕所和上楼梯的能力被认为是最敏感的性能预测指标。先前的C-Leg用户在高级机动中表现出优势。变量显示出合理和有意义的影响,但是不能声称具有预测能力。流动程度显示出最大的影响,但也无法预测。临床参数,如病因,年龄,流动程度以及此处分析的其他参数不足以预测个人潜力。每日步行距离可能会构成一个阈值,并且可能是预测工具的一部分。仅基于单个参数(例如移动性等级评定或步行距离)的决策似乎令人怀疑。

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