NIH介绍腕戴设备追踪中风后手臂恢复研究：61名中风患者与75名健康者佩戴加速度计，数字量表DAPS与临床测评追踪效果相当
美国马里兰州贝塞斯达—美国国立卫生研究院（NIH）11月5日通过《NIH研究要点》介绍一项由 NIH 资助的研究：马萨诸塞大学阿默斯特分校 Sunghoon Lee 博士带领的团队开发了一种腕戴工具，用于追踪中风患者手臂使用能力的恢复情况，研究结果9月30日发表于《科学·转化医学》。本稿只报道研究事实与官方介绍，不作个体诊疗建议。
团队构建的工具名为「数字手臂表现量表」（DAPS）。研究者用两组数据建立该量表：一组来自评估参与者手臂功能的专门临床测评，另一组来自对参与者日常生活中手臂活动的监测。数据收集共有61名在研究前六个月内发生过中风的人与75名健康者参与，参与者在手腕上佩戴加速度计，累计佩戴数千小时；据期刊摘要，DAPS 的构建共分析了约23,000小时数据、涉及215名参与者（包括健康者与亚急性、慢性中风幸存者），研究者用机器学习识别数据中的模式。
NIH 介绍称，在用于构建 DAPS 的中风患者数据中，该工具追踪手臂活动改善的效果与临床测评相当；仅凭日常手臂活动数据，DAPS 就能把健康者与正在中风恢复中的人区分开来。期刊摘要还称，效能分析显示，与传统测评相比，DAPS 可把以上肢运动恢复为终点的临床试验所需样本量减少60%以上。该工具目前为研究成果，NIH 介绍未称其已用于临床常规诊疗。
NIH Highlights Wrist-Worn Tracking of Arm Recovery After Stroke: 61 Stroke Patients and 75 Healthy People Wore Accelerometers; Digital Scale DAPS Matched Clinical Tests
BETHESDA, Maryland — The National Institutes of Health (NIH) featured a study on November 5 in its Research Matters series: an NIH-funded team led by Dr. Sunghoon Lee of the University of Massachusetts Amherst created a wrist-worn tool for tracking how patients recover the ability to use their arms after a stroke, with results published in Science Translational Medicine on September 30. This report presents the study’s facts and the NIH summary only, and offers no individual medical advice.
The tool is called the digital arm performance scale (DAPS). The researchers built it from two sets of data: one collected using specific clinical tests that assess participants’ arm function, and the other from monitoring participants’ arm movements during everyday life. Sixty-one people who had experienced a stroke within six months of the study and 75 healthy people wore accelerometers on their wrists for thousands of hours in total for the data collection; the journal abstract says DAPS was constructed by analyzing about 23,000 hours of data from 215 participants, including healthy individuals and subacute and chronic stroke survivors, and the researchers used machine learning to detect patterns in the data.
According to the NIH summary, among the stroke patients whose data was used to create DAPS, the tool tracked improvements in arm movement as well as the clinical tests did, and using only data about everyday arm movements, DAPS could separate healthy people from those recovering from a stroke. The journal abstract adds that power analysis indicated DAPS could reduce the required sample size for clinical trials with upper-limb motor recovery end points by more than 60% compared with traditional assessments. The tool is a research result; the NIH summary does not describe it as part of routine clinical care.
来源：美国国立卫生研究院
发布：GSM·美国（发布链接）
图片来源：腕戴式运动追踪设备（示意图，Wikimedia Commons）
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