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一种新型基于脑电图的睡眠中δ波活动中断指标可预测全因死亡率风险。

A Novel Electroencephalogram-derived Measure of Disrupted Delta Wave Activity during Sleep Predicts All-Cause Mortality Risk.

机构信息

College of Science and Engineering and.

Adelaide Institute for Sleep Health/Flinders Health and Medical Research Institute Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.

出版信息

Ann Am Thorac Soc. 2022 Apr;19(4):649-658. doi: 10.1513/AnnalsATS.202103-315OC.

DOI:10.1513/AnnalsATS.202103-315OC
PMID:34672877
Abstract

Conventional markers of sleep disturbance, based on manual electroencephalography scoring, may not adequately capture important features of more fundamental electroencephalography-related sleep disturbance. This study aimed to determine if more comprehensive power-spectral measures of delta wave activity during sleep are stronger independent predictors of mortality than conventional sleep quality and disturbance metrics. Power spectral analysis of the delta frequency band and spectral entropy-based markers to quantify disruption of electroencephalography delta power during sleep were performed to examine potential associations with mortality risk in the Sleep Heart Health Study cohort ( = 5,804). Adjusted Cox proportional hazard models were used to determine the association between disrupted delta wave activity at baseline and all-cause mortality over an approximately 11-year follow-up period. Disrupted delta electroencephalography power during sleep was associated with a 32% increased risk of all-cause mortality compared with no fragmentation (hazard ratio, 1.32 [95% confidence interval, 1.14-1.50]), after adjusting for total sleep time and other clinical and lifestyle-related covariates, including sleep apnea. The association was of similar magnitude to a reduction in total sleep time from 6.5 hours to 4.25 hours. Conventional measures of sleep quality, including wake after sleep onset and arousal index, were not predictive of all-cause mortality. Delta wave activity disruption during sleep is strongly associated with all-cause mortality risk, independent of traditional potential confounders. Future investigation into the potential role of delta sleep disruption on other specific adverse health consequences such as cardiometabolic, mental health, and safety outcomes has considerable potential to provide unique neurophysiological insight.

摘要

基于手动脑电图评分的传统睡眠障碍标志物可能无法充分捕捉更基本的脑电图相关睡眠障碍的重要特征。本研究旨在确定睡眠期间 delta 波活动的更全面的功率谱测量是否比传统的睡眠质量和干扰指标更能独立预测死亡率。对 delta 频带的功率谱分析和基于谱熵的标记物进行了研究,以量化睡眠期间脑电图 delta 功率的中断情况,以检查其与睡眠心脏健康研究队列( = 5,804)的死亡率风险之间的潜在关联。使用调整后的 Cox 比例风险模型来确定基线时 delta 波活动中断与大约 11 年随访期间全因死亡率之间的关联。与无碎裂相比,睡眠期间 delta 脑电图功率中断与全因死亡率增加 32%相关(风险比,1.32 [95%置信区间,1.14-1.50]),调整了总睡眠时间和其他临床及生活方式相关协变量,包括睡眠呼吸暂停。该关联与总睡眠时间从 6.5 小时减少到 4.25 小时的关联相似。包括睡眠起始后觉醒和觉醒指数在内的传统睡眠质量测量与全因死亡率无关。睡眠期间 delta 波活动中断与全因死亡率风险密切相关,独立于传统的潜在混杂因素。进一步研究 delta 睡眠中断对其他特定不良健康后果(如心血管代谢、心理健康和安全结果)的潜在作用具有相当大的潜力,可以提供独特的神经生理学见解。

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