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在孤立的REM睡眠行为障碍中,当代诊断视觉和自动化多睡眠学REM睡眠没有动值

Laurène Leclair-Visonneau^1,2,3,4,5, John C Feemster^1,2,3, Noor Bibi^1,2,3

¹Mayo Sleep Behavior and Neurophysiology Research Laboratory, Rochester, Minnesota.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine

|October 12, 2023

概括

隔离REM睡眠行为障碍 (iRBD) 的准确诊断得到了新的REM睡眠没有 (RSWA) 值的改善. 这些更新的多睡眠学指标,特别是来自下巴和四肢肌肉的指标,提高了iRBD的诊断准确性.

科学领域:

神经学神经学
睡眠医学睡眠医学
诊断成像诊断成像诊断成像

背景情况:

由于受伤风险和预后影响,孤立的快速眼动 (REM) 睡眠行为障碍 (iRBD) 的准确诊断至关重要.
在多睡眠记录过程中进行的REM睡眠无无 (RSWA) 分析是iRBD诊断的关键.

研究的目的:

分析iRBD的视觉和自动RSWA诊断值.
在当代的iRBD队列中,评估脑下肌肉 (SM) 和四肢肌肉 (flexor digitorum superficialis [FDS],前肌肉) 的值.

主要方法:

在20名iRBD患者和20名匹配的对照中分析了RSWA指标 (阶段性爆发持续时间,密度,自动化的费里REM动指数 (RAI)).
接收器操作特征曲线确定了优化的诊断值,最大限度地提高了灵敏度和特异性.

主要成果:

所有RSWA指标的平均值在iRBD患者与对照人群中显著更高 (P < .05),除了一些前阴尺度外.
优化值包括SM"任何"在6.5% (AUC=92.5%) 和组合SM+FDS"任何"在15.1% (AUC=95.8%).
还确定了SM爆发持续时间 (0.72s,AUC=90.2%) 和FDS RAI (0.930,AUC=92.8%) 的特定值.

结论:

目前在下巴和四肢肌肉中的定量RSWA值已被验证用于iRBD诊断.
肌肉分析是为准确的iRBD诊断至关重要的,submentalis或组合submentalis+flexor digitorum superficialis肌肉分析至关重要.
未来的多中心研究是必要的,以完善诊断标准与不断变化的iRBD识别.

关键词:

快速眼动睡眠没有动.自动化分析自动化分析计算措施是指计算措施.诊断诊断诊断诊断诊断诊断孤立的REM睡眠行为障碍阶段性肌肉爆发阶段性肌肉爆发门削减截止时间

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