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脊髓小脑性共济失调的目标性家庭步态评估。

Objective home-based gait assessment in spinocerebellar ataxia.

机构信息

Department of Neurology, College of Medicine, University of Florida, Gainesville, FL 32610-0236, USA.

出版信息

J Neurol Sci. 2012 Feb 15;313(1-2):95-8. doi: 10.1016/j.jns.2011.09.016. Epub 2011 Oct 21.

DOI:10.1016/j.jns.2011.09.016
PMID:22018764
Abstract

We investigated the utility of home-based gait monitor assessment in patients with spinocerebellar ataxia (SCA). Nineteen patients with different forms of SCA were examined using a step activity monitor (SAM), clinical scales and common tests of functional motor performance including the scale for assessment and rating of ataxia (SARA), disease staging, a timed 25 foot walk test and a 9 hole peg-board test. The patient wore the SAM bracelet on his/her ankle for seven 24 hour periods at home. The objective monitor measurements were highly associated with disease duration and with the functional stage of disease (P<0.01). Monitor measurements were significantly correlated to SARA scores with the exception of the percent of steps expended in moderate and high speeds of activity. Fewer monitor measures had significant correlations with walk and peg board scores. The objective SAM outputs also possessed high internal consistency, high intraclass correlation coefficients and could be fitted to a single factor by factor analysis. We conclude that the SAM is a simple and cost effective method for obtaining data on gait parameters over extended periods in patients with SCA. The SAM has validity and reliability and can generate unbiased, continuous data that takes into account daily variations in physical performance.

摘要

我们研究了基于家庭的步态监测评估在脊髓小脑共济失调(SCA)患者中的应用。我们使用步活动监测器(SAM)、临床量表和常见的运动功能测试对 19 名患有不同形式 SCA 的患者进行了检查,这些测试包括共济失调评估和分级量表(SARA)、疾病分期、25 英尺定时步行测试和 9 孔钉板测试。患者在家中佩戴 SAM 手链,每天佩戴 7 个 24 小时。客观监测测量结果与疾病持续时间和疾病功能阶段高度相关(P<0.01)。监测测量结果与 SARA 评分显著相关,但中度和高速活动中所消耗的步数百分比除外。较少的监测指标与步行和钉板得分有显著相关性。客观的 SAM 输出也具有较高的内部一致性、较高的组内相关系数,并且可以通过因素分析拟合到单个因素。我们得出结论,SAM 是一种简单且具有成本效益的方法,可在 SCA 患者中长时间获取步态参数数据。SAM 具有有效性和可靠性,可以生成公正、连续的数据,考虑到日常身体表现的变化。

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