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步态特征能否为临床决策提供定量指标?帕金森病患者步态变异性行为的系统荟萃分析。

Can Gait Signatures Provide Quantitative Measures for Aiding Clinical Decision-Making? A Systematic Meta-Analysis of Gait Variability Behavior in Patients with Parkinson's Disease.

作者信息

König Niklas, Singh Navrag B, Baumann Christian R, Taylor William R

机构信息

Department of Health Sciences and Technology, Institute for Biomechanics, Swiss Federal Institute of Technology in Zurich (ETHZ) Zürich, Switzerland.

Department of Neurology, University Hospital Zürich, University of Zürich Zürich, Switzerland.

出版信息

Front Hum Neurosci. 2016 Jun 30;10:319. doi: 10.3389/fnhum.2016.00319. eCollection 2016.

Abstract

A disturbed, inconsistent walking pattern is a common feature of patients with Parkinson's disease (PwPD). Such extreme variability in both temporal and spatial parameters of gait has been associated with unstable walking and an elevated prevalence of falls. However, despite their ability to discretise healthy from pathological function, normative variability values for key gait parameters are still missing. Furthermore, an understanding of each parameter's response to pathology, as well as the inter-parameter relationships, has received little attention. The aim of this systematic literature review and meta-analysis was therefore to define threshold levels for pathological gait variability as well as to investigate whether all gait parameters are equally perturbed in PwPD. Based on a broader systematic literature search that included 13'195 titles, 34 studies addressed Parkinson's disease, presenting 800 PwPD and 854 healthy subjects. Eight gait parameters were compared, of which six showed increased levels of variability during walking in PwPD. The most commonly reported parameter, coefficient of variation of stride time, revealed an upper threshold of 2.4% to discriminate the two groups. Variability of step width, however, was consistently lower in PwPD compared to healthy subjects, and therefore suggests an explicit sensory motor system control mechanism to prioritize balance during walking. The results provide a clear functional threshold for monitoring treatment efficacy in patients with Parkinson's disease. More importantly, however, quantification of specific functional deficits could well provide a basis for locating the source and extent of the neurological damage, and therefore aid clinical decision-making for individualizing therapies.

摘要

步态紊乱、不一致是帕金森病患者(PwPD)的常见特征。步态的时间和空间参数存在如此大的变异性与行走不稳定和跌倒患病率升高有关。然而,尽管能够区分健康与病理功能,但关键步态参数的正常变异性值仍然缺失。此外,对每个参数对病理的反应以及参数间关系的理解很少受到关注。因此,本系统文献综述和荟萃分析的目的是确定病理性步态变异性的阈值水平,并研究帕金森病患者所有步态参数是否受到同等程度的干扰。基于更广泛的系统文献检索,共检索到13195篇文献标题,其中34项研究涉及帕金森病,共纳入800例帕金森病患者和854名健康受试者。比较了八个步态参数,其中六个在帕金森病患者行走时变异性水平增加。最常报告的参数,即步幅时间的变异系数,显示区分两组的上限阈值为2.4%。然而,与健康受试者相比,帕金森病患者步宽的变异性始终较低,因此提示存在一种明确的感觉运动系统控制机制,以便在行走过程中优先维持平衡。这些结果为监测帕金森病患者的治疗效果提供了明确的功能阈值。然而,更重要的是,特定功能缺陷的量化很可能为定位神经损伤的来源和程度提供依据,从而有助于个体化治疗的临床决策。

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