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一种新的 ICT 系统结合肌电图和昏迷恢复量表修订版,以支持意识障碍的诊断过程。

A new ICT system coupling electromyography and coma recovery scale-revised to support the diagnostic process in disorders of consciousness.

机构信息

SC Neurologia, Salute Pubblica, Disabilità, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, 20133, Italy.

Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, 20133, Italy.

出版信息

Sci Rep. 2024 Nov 6;14(1):27008. doi: 10.1038/s41598-024-73565-8.

Abstract

The Coma Recovery Scale-revised (CRS-r) is the gold standard for the behavioral assessment of patients with Disorders of Consciousness (DoCs). However, the misdiagnosis rate is around 40%. For this reason, recent guidelines suggested enhancing the assessment with neurophysiological measures: among these, surface electromyography (sEMG) represents a convenient bedside solution. This work presents the use of the STRIVEfc system, a wearable device that allows CRS-r administration while recording four sEMG signals. STRIVEfc was employed in 40 sessions on 33 DoCs patients and the sEMG was analyzed to look for voluntary and consistent over threshold (OT) muscular activities. Their duration, amplitude, and number were retained and compared between patients in Unresponsive Wakefulness Syndrome (UWS) and Minimally Conscious State (MCS), revealing more numerous and significantly longer OTs in the latter group. Lastly, the EMG information was exploited to enrich the behavioral assessment by building the instrumented CRS-r score (ICRS-r). In 9/16 UWS sessions, the ICRS-r score suggested a higher-level functioning, not translated into a behavioral response, compatible with MCS diagnosis. Overall, the use of STRIVEfc allows to reveal hidden muscular patterns not detectable by the clinician, thus improving the characterization of DoCs patient's functional capabilities and supporting the diagnostic process.

摘要

昏迷恢复量表修订版(CRS-r)是评估意识障碍(DOC)患者行为的金标准。然而,误诊率约为 40%。因此,最近的指南建议通过神经生理学措施来增强评估:其中,表面肌电图(sEMG)是一种方便的床边解决方案。这项工作介绍了 STRIVEfc 系统的使用,该系统是一种可穿戴设备,可在记录四个 sEMG 信号的同时进行 CRS-r 管理。STRIVEfc 在 33 名 DOC 患者的 40 次治疗中得到了应用,对 sEMG 进行了分析,以寻找自愿且持续超过阈值(OT)的肌肉活动。保留了它们的持续时间、幅度和数量,并在无反应性觉醒综合征(UWS)和最小意识状态(MCS)患者之间进行了比较,后者组的 OT 更多且明显更长。最后,通过构建仪器化 CRS-r 评分(ICRS-r),利用 EMG 信息来丰富行为评估。在 9/16 的 UWS 治疗中,ICRS-r 评分提示存在较高水平的功能,但未转化为行为反应,与 MCS 诊断相符。总体而言,STRIVEfc 的使用可以揭示临床医生无法检测到的隐藏肌肉模式,从而改善 DOC 患者功能能力的特征,并支持诊断过程。

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