Nightly sleep as a predictor of next-day arrhythmias in ambulatory adults

IF 1.5 4区医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS

Journal of electrocardiology Pub Date : 2026-05-01 Epub Date: 2026-05-14 DOI:10.1016/j.jelectrocard.2026.154364

Lora Randa BA , Catherine Lee PhD , Jing Cheng MD, PhD , Christina D. Fang MD , David G. Rosenthal MD , Emily Wilson BS , Jeffrey E. Olgin MD , Gregory M. Marcus MD, MAS

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引用次数: 0

Abstract

Background

The frequency of cardiac ectopy, including premature atrial contractions (PACs), premature ventricular contractions (PVCs), non-sustained supraventricular tachycardia (SVT), and non-sustained ventricular tachycardia (NSVT), is clinically relevant, but modifiable risk factors remain poorly understood. Sleep quality influences the risk for atrial fibrillation, but whether sleep might predict the frequency of these even more common arrhythmias is unknown.

Purpose

To investigate whether sleep duration, sleep disturbances, and self-rated sleep quality predict next-day common arrhythmias in an ambulatory population.

Methods

This was a secondary analysis of the Coffee and Real-time Atrial and Ventricular Ectopy (CRAVE) trial, a randomized, 14-day case-crossover trial of the effects of coffee in 100 healthy volunteers. The current analyses utilized data from a wrist-worn accelerometer to measure sleep duration and disturbances worn concomitantly with a continuously recording electrocardiogram. Participants self-rated sleep quality via daily surveys. Negative binomial and logistic mixed-effects models were used to assess the effect of sleep on cardiac ectopy, adjusting for day of the week and randomization assignment and accounting for repeated measurement correlations within individuals.

Results

The frequency of cardiac ectopy was not associated with sleep duration (RR, 0.99; 95% CI, 0.95–1.03), sleep disturbances (RR, 0.99; 95% CI, 0.95–1.03), or sleep quality (RR, 0.97; 95% CI, 0.91–1.04). There were no significant associations between the same predictors and individual counts of PACs or PVCs or episodes of SVT or NSVT.

Conclusion

We failed to find evidence of a relationship between objectively quantified sleep and continuous assessment of common arrhythmias the following day in healthy volunteers.

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夜间睡眠作为动态成人第二天心律失常的预测因子

背景：心脏异位的频率，包括房性早搏（PACs）、室性早搏（PVCs）、非持续性室上性心动过速（SVT）和非持续性室性心动过速（NSVT），与临床相关，但可改变的危险因素仍知之甚少。睡眠质量影响心房颤动的风险，但睡眠是否可以预测这些更常见的心律失常的频率尚不清楚。目的探讨睡眠时间、睡眠障碍和自评睡眠质量是否能预测门诊人群第二天常见的心律失常。方法：这是对咖啡和实时心房和心室异位（CRAVE）试验的二次分析，该试验是一项随机的、为期14天的病例交叉试验，研究了咖啡对100名健康志愿者的影响。目前的分析利用了腕带加速计的数据来测量睡眠持续时间和连续记录心电图的干扰。参与者通过每日调查自评睡眠质量。使用负二项和logistic混合效应模型来评估睡眠对心脏异位的影响，调整一周的天数和随机分配，并考虑个体内重复测量的相关性。结果心脏异位的发生频率与睡眠时间（RR, 0.99; 95% CI, 0.95-1.03）、睡眠障碍（RR, 0.99; 95% CI, 0.95-1.03）或睡眠质量（RR, 0.97; 95% CI, 0.91-1.04）无关。同样的预测因子与个体PACs或室性早搏计数或室性心动过速或非室速发作之间没有显著关联。结论在健康志愿者中，我们没有找到客观量化睡眠与第二天常见心律失常持续评估之间关系的证据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of electrocardiology 医学-心血管系统

CiteScore

2.70

自引率

7.70%

发文量

152

审稿时长

38 days

期刊介绍： The Journal of Electrocardiology is devoted exclusively to clinical and experimental studies of the electrical activities of the heart. It seeks to contribute significantly to the accuracy of diagnosis and prognosis and the effective treatment, prevention, or delay of heart disease. Editorial contents include electrocardiography, vectorcardiography, arrhythmias, membrane action potential, cardiac pacing, monitoring defibrillation, instrumentation, drug effects, and computer applications.