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中风患者的综合神经力学评估:测量神经和非神经手腕特性方案的可靠性和反应性

Comprehensive neuromechanical assessment in stroke patients: reliability and responsiveness of a protocol to measure neural and non-neural wrist properties.

作者信息

van der Krogt Hanneke, Klomp Asbjørn, de Groot Jurriaan H, de Vlugt Erwin, van der Helm Frans Ct, Meskers Carel Gm, Arendzen J Hans

机构信息

Department of Rehabilitation Medicine, Leiden University Medical Center, Postzone B0-Q, P.O. box 9600, 2300 RC, Leiden, the Netherlands.

Laboratory for Neuromuscular Control, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Mekelweg 2, 2628 CD, Delft, the Netherlands.

出版信息

J Neuroeng Rehabil. 2015 Mar 13;12:28. doi: 10.1186/s12984-015-0021-9.

Abstract

BACKGROUND

Understanding movement disorder after stroke and providing targeted treatment for post stroke patients requires valid and reliable identification of biomechanical (passive) and neural (active and reflexive) contributors. Aim of this study was to assess test-retest reliability of passive, active and reflexive parameters and to determine clinical responsiveness in a cohort of stroke patients with upper extremity impairments and healthy volunteers.

METHODS

Thirty-two community-residing chronic stroke patients with an impairment of an upper limb and fourteen healthy volunteers were assessed with a comprehensive neuromechanical assessment protocol consisting of active and passive tasks and different stretch reflex-eliciting measuring velocities, using a haptic manipulator and surface electromyography of wrist flexor and extensor muscles (Netherlands Trial Registry number NTR1424). Intraclass correlation coefficients (ICC) and Standard Error of Measurement were calculated to establish relative and absolute test-retest reliability of passive, active and reflexive parameters. Clinical responsiveness was tested with Kruskal Wallis test for differences between groups.

RESULTS

ICC of passive parameters were fair to excellent (0.45 to 0.91). ICC of active parameters were excellent (0.88-0.99). ICC of reflexive parameters were fair to good (0.50-0.74). Only the reflexive loop time of the extensor muscles performed poor (ICC 0.18). Significant differences between chronic stroke patients and healthy volunteers were found in ten out of fourteen parameters.

CONCLUSIONS

Passive, active and reflexive parameters can be assessed with high reliability in post-stroke patients. Parameters were responsive to clinical status. The next step is longitudinal measurement of passive, active and reflexive parameters to establish their predictive value for functional outcome after stroke.

摘要

背景

了解中风后的运动障碍并为中风后患者提供针对性治疗,需要有效且可靠地识别生物力学(被动)和神经(主动和反射性)因素。本研究的目的是评估被动、主动和反射性参数的重测信度,并确定一组上肢功能受损的中风患者和健康志愿者的临床反应性。

方法

对32名社区居住的慢性中风上肢功能障碍患者和14名健康志愿者进行了全面的神经力学评估,该评估方案包括主动和被动任务以及不同的牵张反射诱发测量速度,使用触觉操纵器和腕部屈肌和伸肌的表面肌电图(荷兰试验注册编号NTR1424)。计算组内相关系数(ICC)和测量标准误差,以确定被动、主动和反射性参数的相对和绝对重测信度。用Kruskal Wallis检验测试组间差异的临床反应性。

结果

被动参数的ICC为中等至优秀(0.45至0.91)。主动参数的ICC为优秀(0.88 - 0.99)。反射性参数的ICC为中等至良好(0.50 - 0.74)。只有伸肌的反射环时间表现较差(ICC 0.18)。在14个参数中的10个参数上发现慢性中风患者和健康志愿者之间存在显著差异。

结论

中风后患者的被动、主动和反射性参数可以高度可靠地进行评估。参数对临床状态有反应。下一步是对被动、主动和反射性参数进行纵向测量,以确定它们对中风后功能结局的预测价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ba6/4436851/a162ac7d08db/12984_2015_21_Fig1_HTML.jpg

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