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一项系统评价数字技术在运动神经元病中评估运动功能和疾病进展的应用。

A systematic review of digital technology to evaluate motor function and disease progression in motor neuron disease.

机构信息

Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK.

Anne Rowling Regenerative Neurology Clinic, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, Scotland, UK.

出版信息

J Neurol. 2022 Dec;269(12):6254-6268. doi: 10.1007/s00415-022-11312-7. Epub 2022 Aug 9.

Abstract

Amyotrophic lateral sclerosis (ALS) is the most common subtype of motor neuron disease (MND). The current gold-standard measure of progression is the ALS Functional Rating Scale-Revised (ALS-FRS(R)), a clinician-administered questionnaire providing a composite score on physical functioning. Technology offers a potential alternative for assessing motor progression in both a clinical and research capacity that is more sensitive to detecting smaller changes in function. We reviewed studies evaluating the utility and suitability of these devices to evaluate motor function and disease progression in people with MND (pwMND). We systematically searched Google Scholar, PubMed and EMBASE applying no language or date restrictions. We extracted information on devices used and additional assessments undertaken. Twenty studies, involving 1275 (median 28 and ranging 6-584) pwMND, were included. Sensor type included accelerometers (n = 9), activity monitors (n = 4), smartphone apps (n = 4), gait (n = 3), kinetic sensors (n = 3), electrical impedance myography (n = 1) and dynamometers (n = 2). Seventeen (85%) of studies used the ALS-FRS(R) to evaluate concurrent validity. Participant feedback on device utility was generally positive, where evaluated in 25% of studies. All studies showed initial feasibility, warranting larger longitudinal studies to compare device sensitivity and validity beyond ALS-FRS(R). Risk of bias in the included studies was high, with a large amount of information to determine study quality unclear. Measurement of motor pathology and progression using technology is an emerging, and promising, area of MND research. Further well-powered longitudinal validation studies are needed.

摘要

肌萎缩侧索硬化症(ALS)是运动神经元病(MND)中最常见的亚型。目前,进展的金标准衡量标准是肌萎缩侧索硬化功能评定量表修订版(ALS-FRS(R)),这是一种由临床医生管理的问卷,提供身体功能的综合评分。技术为评估运动进展提供了一种潜在的替代方法,无论是在临床还是研究能力方面,它都更能敏感地检测到功能的较小变化。我们回顾了评估这些设备在评估 MND 患者(pwMND)的运动功能和疾病进展中的效用和适用性的研究。我们系统地在 Google Scholar、PubMed 和 EMBASE 上进行了搜索,没有语言或日期限制。我们提取了有关所使用设备和进行的其他评估的信息。共有 20 项研究,涉及 1275 名(中位数为 28 名,范围为 6-584 名)pwMND,被纳入研究。传感器类型包括加速度计(n=9)、活动监测器(n=4)、智能手机应用程序(n=4)、步态(n=3)、动力学传感器(n=3)、电阻抗肌电图(n=1)和测力计(n=2)。17 项(85%)研究使用 ALS-FRS(R)评估了同时效度。在 25%的研究中,对设备实用性的参与者反馈通常是积极的。所有研究都表现出初步的可行性,需要进行更大的纵向研究,以比较设备的敏感性和有效性,超越 ALS-FRS(R)。纳入研究的偏倚风险较高,大量信息尚不清楚,难以确定研究质量。使用技术测量运动病理学和进展是 MND 研究的一个新兴且有前途的领域。需要进一步进行强有力的纵向验证研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c0e/9618496/a1da991122eb/415_2022_11312_Fig1_HTML.jpg

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