Suppr超能文献

一种基于平板电脑的工具,用于准确测量脑卒中后手的本体感觉。

A Tablet-Based Tool for Accurate Measurement of Hand Proprioception After Stroke.

机构信息

Department of Kinesiology (H.J.B., J.L.M., S.R., A.K.L., R.W.), Program in Neuroscience (H.J.B., J.L.M.), Program in Human Biology (D.U.), Indiana University Bloomington; and Department of Occupational Therapy, Indiana University-Purdue University Indianapolis (C.L.M.).

出版信息

J Neurol Phys Ther. 2019 Apr;43(2):106-116. doi: 10.1097/NPT.0000000000000259.

Abstract

BACKGROUND AND PURPOSE

Proprioceptive deficits in the hand are common following stroke, but current clinical measurement techniques are too imprecise to detect subtle impairments or small changes. We developed a tablet-based tool to measure static hand proprioception using an adaptive staircase procedure.

METHODS

In 16 individuals with chronic stroke and age-matched controls, we quantified proprioception at the metacarpophalangeal joint of the index finger using 3 methods: the tablet task, a custom passive movement direction discrimination test (PMDD), and a manual assessment similar to the Fugl-Meyer (F-M) proprioception subsection.

RESULTS

The tablet-based measure and the PMDD both identified impaired proprioception in the affected hand relative to the unaffected hand (P = 0.024 and 0.028), and relative to the control group (P = 0.040 and 0.032), while manual assessment did not. The PMDD had a ceiling effect as movement excursions greater than 15 were not biomechanically feasible. The tablet-based measure and the PMDD detected impaired proprioception in 56% to 75%, and the F-M in only 29%, of patients. PMDD and tablet-based measures were both correlated with primary tactile sensation, but not manual dexterity.

DISCUSSION AND CONCLUSIONS

Both the tablet-based tool and the custom PMDD performed better than manual assessment. The PMDD may be useful when the deficit is mild or assessment of dynamic proprioception is desired. As the tablet-based measure does not have the ceiling effect that is associated with the PMDD, it may be useful with any level of proprioceptive impairment, and may be preferable if testing or clinician training time needs to be minimized, or pain or spasticity is present.Video Abstract available for more insights from the authors (see the Video, Supplementary Digital Content 1, available at: http://links.lww.com/JNPT/A256).

摘要

背景与目的

手部本体感觉缺陷在中风后很常见,但目前的临床测量技术不够精确,无法检测到细微的损伤或较小的变化。我们开发了一种基于平板电脑的工具,使用自适应阶梯程序来测量手部的静态本体感觉。

方法

在 16 名慢性中风患者和年龄匹配的对照组中,我们使用 3 种方法来量化食指的掌指关节的本体感觉:平板电脑任务、定制的被动运动方向辨别测试(PMDD)和类似于 Fugl-Meyer(F-M)本体感觉小节的手动评估。

结果

基于平板电脑的测量和 PMDD 都能识别出患手相对于健手(P=0.024 和 0.028)和对照组(P=0.040 和 0.032)的本体感觉受损,而手动评估则没有。PMDD 存在天花板效应,因为超过 15 的运动幅度在生物力学上是不可行的。基于平板电脑的测量和 PMDD 能检测到 56%至 75%的患者存在本体感觉受损,而 F-M 仅能检测到 29%的患者。PMDD 和基于平板电脑的测量均与主要触觉有关,但与手动灵巧性无关。

讨论与结论

基于平板电脑的工具和定制的 PMDD 都比手动评估表现更好。当缺陷较轻微或需要评估动态本体感觉时,PMDD 可能会很有用。由于基于平板电脑的测量没有与 PMDD 相关的天花板效应,因此它可能对任何程度的本体感觉损伤都有用,如果需要最小化测试或临床医生的培训时间,或者存在疼痛或痉挛,那么它可能是首选。视频摘要可供作者提供更多见解(观看视频,补充数字内容 1,可在以下网址获取:http://links.lww.com/JNPT/A256)。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验