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自动分析屈指浅肌的肌肉活动:一种快速筛查非快速眼动睡眠无张力的方法。

Automatic analysis of muscular activity in the flexor digitorum superficialis muscles: a fast screening method for rapid eye movement sleep without atonia.

机构信息

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

Neurology Service, Hospital Clínic of Barcelona, Barcelona, Spain.

出版信息

Sleep. 2023 Mar 9;46(3). doi: 10.1093/sleep/zsab299.

Abstract

STUDY OBJECTIVES

To identify a fast and reliable method for rapid eye movement (REM) sleep without atonia (RWA) quantification.

METHODS

We analyzed 36 video-polysomnographies (v-PSGs) of isolated REM sleep behavior disorder (iRBD) patients and 35 controls' v-PSGs. Patients diagnosed with RBD had: i) RWA, quantified with a reference method, i.e. automatic and artifact-corrected 3-s Sleep Innsbruck Barcelona (SINBAR) index in REM sleep periods (RSPs, i.e. manually selected portions of REM sleep); and ii) v-PSG-documented RBD behaviors. We quantified RWA with other (semi)-automated methods requiring less human intervention than the reference one: the indices proposed by the SINBAR group (the 3-s and 30-s phasic flexor digitorum superficialis (FDS), phasic/"any"/tonic mentalis), and the REM atonia, short and long muscle activity indices (in mentalis/submentalis/FDS muscles). They were calculated in whole REM sleep (i.e. REM sleep scored following international guidelines), in RSPs, with and without manual artifact correction. Area under curves (AUC) discriminating iRBD from controls were computed. Using published cut-offs, the indices' sensitivity and specificity for iRBD identification were calculated. Apnea-hypopnea index in REM sleep (AHIREM) was considered in the analyses.

RESULTS

RWA indices from FDS muscles alone had the highest AUCs and all of them had 100% sensitivity. Without manual RSP selection and artifact correction, the "30-s phasic FDS" and the "FDS long muscle activity" had the highest specificity (85%) with AHIREM < 15/h. RWA indices were less reliable when AHIREM≥15/h.

CONCLUSIONS

If AHIREM<15/h, FDS muscular activity in whole REM sleep and without artifact correction is fast and reliable to rule out RWA.

摘要

研究目的

确定一种快速可靠的方法来量化快速眼动(REM)睡眠无动(RWA)。

方法

我们分析了 36 例孤立性 REM 睡眠行为障碍(iRBD)患者和 35 例对照者的视频多导睡眠图(v-PSG)。诊断为 RBD 的患者有:i)使用参考方法即 REM 睡眠期自动和校正人工的 3 秒维也纳-巴塞罗纳 REM 睡眠指标(SINBAR)指数(即手动选择 REM 睡眠部分)量化的 RWA;ii)v-PSG 记录的 RBD 行为。我们使用比参考方法需要更少人工干预的其他(半)自动化方法来量化 RWA:SINBAR 组提出的指标(3 秒和 30 秒瞬态指浅屈肌(FDS)、瞬态/任何/紧张性颏舌肌),以及 REM 无动、短和长肌活动指数(颏舌肌/颏下肌/FDS 肌)。它们在整个 REM 睡眠(即根据国际指南记录的 REM 睡眠)、在 REM 睡眠期计算,有无手动校正。计算区分 iRBD 与对照组的曲线下面积(AUC)。使用已发表的截止值,计算指数对 iRBD 识别的敏感性和特异性。分析中考虑了 REM 睡眠中的呼吸暂停低通气指数(AHIREM)。

结果

单独来自 FDS 肌的 RWA 指数具有最高的 AUC,并且它们都具有 100%的敏感性。在没有手动 REM 睡眠期选择和人工校正的情况下,“30 秒瞬态 FDS”和“FDS 长肌活动”具有最高的特异性(85%),AHIREM<15/h。当 AHIREM≥15/h 时,RWA 指数的可靠性降低。

结论

如果 AHIREM<15/h,整个 REM 睡眠中无人工校正的 FDS 肌活动是快速可靠的,可以排除 RWA。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd92/9995778/c8ed71717936/zsab299_fig1.jpg

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