帕金森病步态适应性的生物力学分析

Mareike Schwed, T. Getrost, D. Schmidtbleicher, C. Haas
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引用次数: 2

摘要

与健康老年人相比,帕金森病(PD)患者的步态适应日常生活中波动的运动需求的能力较差,例如在拥挤的地方、过马路、在红绿灯处起步或停车。一些研究证实了PD患者的步态异常。然而,据我们所知,目前还没有针对步态适应能力的生物力学测试。本研究的目的是开发和评估一种新的生物力学测试,以证明步态对波动的外部条件的适应性。为了有一个可重复的,定量的步态测试,使用跑步机,通过一个特殊的软件访问。所谓的步态适应性测试(AOG)对测试对象的跑步机速度产生了巨大而不可预测的改变。49名pd受试者和10名年龄匹配的对照组(HC)参加了这项研究。为了将PD受试者细分为同质组,我们使用了聚类分析。在评估的第一步,我们关注中度(PDM)和重度疾病分期(PDS)和HC的PD之间的差异,并根据现有的有效测试(例如统一帕金森病评定量表(UPDRS)子量表,临床和生物力学步态评估)检查相关性。结果显示各组之间的步态适应有显著差异。与中度和HC PD相比,重度PD患者的步态适应性更差。PD样本相关分析显示,AOG-test与运动迟缓和面部表情差异有统计学意义,而与常规临床步态评估如Webster步态测试差异无统计学意义。我们得出结论,aog测试有潜力识别一种新的步态表现:步态适应。
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Biomechanical Analysis of Gait Adaptability in Parkinson's Disease
Parkinson's Disease (PD) subjects are less able to adapt gait to fluctuating motor demands in daily life situations than the healthy elderly, e.g. in crowded places, crossing the road, and starting or stopping at traffic lights. Several studies proved gait abnormalities in PD. However, to our knowledge there is currently no biomechanical test that deals with the ability in gait adaptation. The aim of this study was to develop and evaluate a new biomechanical test which proves the adaptability of gait to fluctuating external conditions. In order to have a reproducible, quantitative gait-test, a treadmill was used, accessed by a special software. The so called adaptability-of-gait test (AOG) changed the treadmill's velocity ballistically and unpredictably for the test subjects. 49 PD-subjects and 10 age-matched controls (HC) participated in the study. In order to subdivide PD subjects in homogeneous groups, we used a cluster analysis. In a first-step of evaluation we focused on differences between PD with moderate (PDM) and severe disease stages (PDS) and HC and examined correlations according to existing, valid tests, e.g. Unified Parkinson Disease Rating Scale (UPDRS) subscales, clinical and biomechanical gait-assessments. Results showed significant differences in gait-adaptation between the groups. Severe PD had a worse gait adaptation compared to PD moderate and HC. Correlation analysis of the PD sample showed significance differences between the AOG-test and bradykinesia and facial expression, but no significances differences according to conventional clinical gait assessments, e.g. Webster gait-test. We conclude that the AOG-test has potentials to identify a new gait performance: the adaptation of gait.
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