The Effectiveness of a Novel Sleep Test Based on Cardiopulmonary Coupling to Detect Obstructive Sleep Apnea: A Multicenter Prospective Study.

IF 3.4 2区 医学 Q2 CLINICAL NEUROLOGY
Nature and Science of Sleep Pub Date : 2026-06-24 eCollection Date: 2026-01-01 DOI:10.2147/NSS.S581103
Chuan-Yen Sun, Liang-Wen Hang, En-Ting Chang, Diahn-Warng Perng, Shiang-Fen Huang, Fang-Chi Lin, Kang-Cheng Su, Tsu-Hui Shiao, Yung-Yang Liu, Yuh-Min Chen, Kun-Ta Chou
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引用次数: 0

Abstract

Purpose: Obstructive sleep apnea (OSA) is common and requires early detection and timely management to relieve symptoms and lower the risk of long-term complications. Although established home sleep apnea testing systems are available, many require multiple sensors, and simplified ECG-based approaches may reduce setup burden and improve ease of use. This study aimed to evaluate the diagnostic performance of a cardiopulmonary coupling-based sleep test against polysomnography-derived apnea-hypopnea index (AHI) in adults with clinically suspected OSA.

Patients and methods: In this prospective study at three tertiary medical centers in Taiwan, adults with suspected OSA received simultaneous in-laboratory polysomnography and a novel home sleep apnea test (Largan Health AI-Tech). The wearable device used a wireless electrocardiogram Holter monitor placed on the left anterior chest to record electrocardiogram signals during sleep. Signals were processed with cardiopulmonary coupling analysis to derive a respiratory event index, which was compared with the AHI from polysomnography.

Results: Among 479 participants, 200 were enrolled from CMUH, 193 from TVGH, and 86 from HTCH. The respiratory event index correlated strongly with the AHI (ρ = 0.889, p < 0.001), with high cohort-level consistency by intraclass correlation coefficient (ICC = 0.955). For identifying OSA, the area under the receiver operating characteristic curve was 0.923 (95% confidence interval 0.91-0.95) at an AHI of at least 5 events per hour, 0.929 (95% confidence interval 0.90-0.95) at least 15 events per hour, and 0.967 (95% confidence interval 0.95-0.98) at least 30 events per hour. In the subgroup with supplemental pulse oximetry, the combined approach showed higher areas under the receiver operating characteristic curve of 0.981, 0.984, and 0.992 at the corresponding thresholds.

Conclusion: CPC-derived REI showed good diagnostic performance against PSG-derived AHI in adults with clinically suspected OSA referred to tertiary sleep centers in Taiwan, supporting its potential role as a simplified adjunctive tool for OSA evaluation in this referred clinical setting.

基于心肺耦合的新型睡眠测试检测阻塞性睡眠呼吸暂停的有效性:一项多中心前瞻性研究。
目的:阻塞性睡眠呼吸暂停(OSA)是一种常见的疾病,需要早期发现并及时处理,以缓解症状,降低长期并发症的风险。虽然已经建立的家庭睡眠呼吸暂停测试系统是可用的,但许多需要多个传感器,简化的基于心电图的方法可以减少设置负担并提高易用性。本研究旨在评估基于心肺耦合的睡眠测试对临床疑似OSA的成人多导睡眠图衍生的呼吸暂停低通气指数(AHI)的诊断效果。患者和方法:在台湾三个三级医疗中心进行的这项前瞻性研究中,怀疑患有阻塞性睡眠呼吸暂停的成年人同时接受了实验室多导睡眠图检查和一种新颖的家庭睡眠呼吸暂停测试(Largan Health AI-Tech)。这种可穿戴设备使用放置在左前胸的无线心电图霍尔特监测仪来记录睡眠时的心电图信号。对信号进行心肺耦合分析,得出呼吸事件指数,并与多导睡眠图的AHI进行比较。结果:479名参与者中,来自CMUH的有200名,来自TVGH的有193名,来自HTCH的有86名。呼吸事件指数与AHI相关性强(ρ = 0.889, p < 0.001),类内相关系数(ICC = 0.955)具有较高的队列水平一致性。在识别OSA时,AHI≥5 / h时,受试者工作特征曲线下面积为0.923(95%可信区间0.91-0.95);≥15 / h时,受试者工作特征曲线下面积为0.929(95%可信区间0.90-0.95);≥30 / h时,受试者工作特征曲线下面积为0.967(95%可信区间0.95-0.98)。在辅助脉搏血氧测定的亚组中,联合方法在相应阈值下的受试者工作特征曲线下的面积更高,分别为0.981、0.984和0.992。结论:cpc来源的REI对台湾三级睡眠中心临床怀疑OSA的成人psg来源的AHI具有良好的诊断效果,支持其在该参考临床环境中作为OSA评估的简化辅助工具的潜在作用。
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来源期刊
Nature and Science of Sleep
Nature and Science of Sleep Neuroscience-Behavioral Neuroscience
CiteScore
5.70
自引率
5.90%
发文量
245
审稿时长
16 weeks
期刊介绍: Nature and Science of Sleep is an international, peer-reviewed, open access journal covering all aspects of sleep science and sleep medicine, including the neurophysiology and functions of sleep, the genetics of sleep, sleep and society, biological rhythms, dreaming, sleep disorders and therapy, and strategies to optimize healthy sleep. Specific topics covered in the journal include: The functions of sleep in humans and other animals Physiological and neurophysiological changes with sleep The genetics of sleep and sleep differences The neurotransmitters, receptors and pathways involved in controlling both sleep and wakefulness Behavioral and pharmacological interventions aimed at improving sleep, and improving wakefulness Sleep changes with development and with age Sleep and reproduction (e.g., changes across the menstrual cycle, with pregnancy and menopause) The science and nature of dreams Sleep disorders Impact of sleep and sleep disorders on health, daytime function and quality of life Sleep problems secondary to clinical disorders Interaction of society with sleep (e.g., consequences of shift work, occupational health, public health) The microbiome and sleep Chronotherapy Impact of circadian rhythms on sleep, physiology, cognition and health Mechanisms controlling circadian rhythms, centrally and peripherally Impact of circadian rhythm disruptions (including night shift work, jet lag and social jet lag) on sleep, physiology, cognition and health Behavioral and pharmacological interventions aimed at reducing adverse effects of circadian-related sleep disruption Assessment of technologies and biomarkers for measuring sleep and/or circadian rhythms Epigenetic markers of sleep or circadian disruption.
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