睡眠纺锤体密度和睡眠深度作为心血管结局的预测因子：一项前瞻性脑电图研究

IF 3.8 2区医学 Q1 CLINICAL NEUROLOGY

Sleep medicine Pub Date : 2025-05-24 DOI:10.1016/j.sleep.2025.106599

Alen Juginović , Ivan Aranza , Valentina Biloš

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引用次数: 0

摘要

目的本研究的目的是在一个大型前瞻性队列中探讨睡眠脑电图特征与心血管结局之间的关系。我们的目的是确定可以作为心血管风险指标的关键EEG标记。方法本研究利用睡眠心脏健康研究访问1 （SHHS1）的基线多导睡眠图（PSG）数据，包括5782名年龄在40岁及以上的参与者。PSG记录的脑电图特征包括睡眠纺锤波密度、功率和比值比积（ORP），一种睡眠深度的测量方法。在随访期间评估心血管结局，包括冠心病和心血管疾病的发病率和死亡率（SHHS2）。统计分析包括logistic回归和受试者工作特征（ROC）曲线，以检查脑电图特征与冠心病/心血管疾病风险之间的关系。结果5782名参与者(中位年龄：63岁；男性占47.6%)，冠心病占15.7%，心血管疾病占23.7%。冠心病和心血管疾病相关的死亡率分别为4.6%和7.1%。ORP越高，表明睡眠越浅，冠心病风险增加78.2%，心血管疾病风险增加63.8%。快速眼动潜伏期短也与心血管风险增加有关。相比之下，较高的睡眠纺锤体密度和频率以及较高的快速眼动睡眠比例具有保护作用，可降低冠心病、心血管疾病和死亡率的几率。非快速眼动睡眠中ORP升高与冠心病死亡率增加133.8%和CVD死亡率增加63.7%相关。结论睡眠纺锤体密度和睡眠深度是与心血管预后相关的关键脑电图特征。来自常规睡眠研究的脑电图模式可能为识别心血管风险升高的个体提供有价值的生物标志物，从而实现早期预防干预。

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Sleep spindle density and sleep depth as predictors of cardiovascular outcomes: A prospective EEG study

Objectives

The objective of this study was to investigate the relationship between sleep EEG features and cardiovascular outcomes in a large prospective cohort. We aimed to identify key EEG markers that could serve as indicators of cardiovascular risk.

Methods

This study utilized baseline polysomnography (PSG) data from Sleep Heart Health Study Visit 1 (SHHS1), including 5782 participants aged 40 and older. PSG recorded EEG features including sleep spindle density, power, and the odds ratio product (ORP), a measure of sleep depth. Cardiovascular outcomes, including CHD and CVD incidence and mortality, were assessed during the follow-up visit (SHHS2). Statistical analysis included logistic regression and receiver operating characteristic (ROC) curves to examine associations between EEG features and CHD/CVD risk.

Results

Among 5782 participants (median age: 63 years; 47.6 % male), 15.7 % had CHD, and 23.7 % had CVD. CHD- and CVD-related deaths occurred in 4.6 % and 7.1 % of participants, respectively. Higher ORP, indicating shallower sleep, was associated with a 78.2 % increased risk of CHD and a 63.8 % increased risk of CVD. Short REM latency was also linked to increased cardiovascular risk. In contrast, higher sleep spindle density and frequency and greater REM sleep proportion were protective, reducing odds of CHD, CVD, and mortality. Elevated ORP in non-REM sleep was associated with a 133.8 % increase in CHD mortality and 63.7 % increase in CVD mortality.

Conclusions

Sleep spindle density and sleep depth are key EEG features associated with cardiovascular outcomes. EEG patterns from routine sleep studies may offer valuable biomarkers for identifying individuals at elevated cardiovascular risk, enabling earlier preventive interventions.

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来源期刊

Sleep medicine 医学-临床神经学

CiteScore

8.40

自引率

6.20%

发文量

1060

审稿时长

49 days

期刊介绍： Sleep Medicine aims to be a journal no one involved in clinical sleep medicine can do without. A journal primarily focussing on the human aspects of sleep, integrating the various disciplines that are involved in sleep medicine: neurology, clinical neurophysiology, internal medicine (particularly pulmonology and cardiology), psychology, psychiatry, sleep technology, pediatrics, neurosurgery, otorhinolaryngology, and dentistry. The journal publishes the following types of articles: Reviews (also intended as a way to bridge the gap between basic sleep research and clinical relevance); Original Research Articles; Full-length articles; Brief communications; Controversies; Case reports; Letters to the Editor; Journal search and commentaries; Book reviews; Meeting announcements; Listing of relevant organisations plus web sites.