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孤立性快速眼动睡眠行为障碍——能否进行筛查?

Isolated REM Sleep Behaviour Disorder-Is Screening Possible?

作者信息

Cesari Matteo, Brink-Kjaer Andreas, During Emmanuel, Ganglberger Wolfgang, Gnarra Oriella, Huang Bei, Sommerauer Michael, Ratti Pietro Luca, Rechichi Irene, Wing Yun Kwok, Stefani Ambra

机构信息

Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.

Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark.

出版信息

J Sleep Res. 2025 Oct;34(5):e70109. doi: 10.1111/jsr.70109. Epub 2025 Jun 3.

DOI:10.1111/jsr.70109
PMID:40461179
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12426715/
Abstract

Rapid eye movement (REM) sleep behaviour disorder (RBD) is a parasomnia characterised by the loss of muscle atonia during REM sleep and dream-enacting behaviours. In its isolated form (iRBD) it is widely recognised as an early stage of alpha-synucleinopathies. Early identification of patients with iRBD allows for timely interventions, risk mitigation and potential inclusion in clinical trials aimed at disease modification. Effective screening tools, including questionnaires, automatic analyses of video-polysomnography, actigraphy, nearables and biological markers, can facilitate diagnosis and monitoring. Incorporating routine screening into clinical practice may enhance early detection and improve long-term patient outcomes. This manuscript presents the latest developments in screening tools for the identification of patients with iRBD and discusses their advantages and drawbacks, highlighting paths for future research and applications.

摘要

快速眼动(REM)睡眠行为障碍(RBD)是一种异态睡眠,其特征是在快速眼动睡眠期间肌肉张力缺失以及出现梦境扮演行为。以孤立形式存在的RBD(iRBD)被广泛认为是α-突触核蛋白病的早期阶段。对iRBD患者进行早期识别有助于及时进行干预、降低风险,并有可能纳入旨在改变疾病进程的临床试验。有效的筛查工具,包括问卷、视频多导睡眠图自动分析、活动记录仪、近场可穿戴设备和生物标志物,可促进诊断和监测。将常规筛查纳入临床实践可能会提高早期检测率并改善患者的长期预后。本文介绍了用于识别iRBD患者的筛查工具的最新进展,并讨论了它们的优缺点,突出了未来研究和应用的方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d689/12426715/c65e14489224/JSR-34-e70109-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d689/12426715/4c7551d19b12/JSR-34-e70109-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d689/12426715/c65e14489224/JSR-34-e70109-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d689/12426715/4c7551d19b12/JSR-34-e70109-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d689/12426715/c65e14489224/JSR-34-e70109-g001.jpg

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本文引用的文献

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Sleep structure discriminates patients with isolated REM sleep behavior disorder: a deep learning approach.睡眠结构可区分孤立性快速眼动睡眠行为障碍患者:一种深度学习方法。
Annu Int Conf IEEE Eng Med Biol Soc. 2024 Jul;2024:1-4. doi: 10.1109/EMBC53108.2024.10782600.
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Audiovisual analysis of the diagnostic video polysomnography in patients with isolated REM sleep behavior disorder.孤立性快速眼动睡眠行为障碍患者诊断性视频多导睡眠图的视听分析
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Automated Detection of Isolated REM Sleep Behavior Disorder Using Computer Vision.
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Semi automatic quantification of REM sleep without atonia in natural sleep environment.在自然睡眠环境中对无肌张力快速眼动睡眠进行半自动量化。
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Temporal progression of sleep electroencephalography features in isolated rapid eye movement sleep behaviour disorder.孤立性快速眼动睡眠行为障碍中睡眠脑电图特征的时间进展
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Plasma level of alpha-synuclein oligomers as a biomarker for isolated rapid eye movement sleep behavior disorder diagnosis and progression: a prospective cohort study.血浆α-突触核蛋白寡聚体水平作为孤立性快速眼动睡眠行为障碍诊断和病情进展的生物标志物:一项前瞻性队列研究。
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What radio waves tell us about sleep!无线电波能告诉我们关于睡眠的哪些信息!
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8
Smartphone Voice Calls Provide Early Biomarkers of Parkinsonism in Rapid Eye Movement Sleep Behavior Disorder.智能手机语音通话可提供快速眼动睡眠行为障碍中帕金森病的早期生物标志物。
Mov Disord. 2024 Oct;39(10):1752-1762. doi: 10.1002/mds.29921. Epub 2024 Jul 12.
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Gait Analysis and Magnetic Resonance Imaging Characteristics in Patients with Isolated Rapid Eye Movement Sleep Behavior Disorder.孤立性快速眼动睡眠行为障碍患者的步态分析与磁共振成像特征
Mov Disord. 2024 Sep;39(9):1567-1577. doi: 10.1002/mds.29911. Epub 2024 Jul 4.
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Nat Commun. 2024 Jun 18;15(1):4759. doi: 10.1038/s41467-024-48961-3.