{"title":"The Effectiveness of a Novel Sleep Test Based on Cardiopulmonary Coupling to Detect Obstructive Sleep Apnea: A Multicenter Prospective Study.","authors":"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","doi":"10.2147/NSS.S581103","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>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.</p><p><strong>Patients and methods: </strong>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.</p><p><strong>Results: </strong>Among 479 participants, 200 were enrolled from CMUH, 193 from TVGH, and 86 from HTCH. The respiratory event index correlated strongly with the AHI (<i>ρ</i> = 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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"18 ","pages":"581103"},"PeriodicalIF":3.4000,"publicationDate":"2026-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13310495/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature and Science of Sleep","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/NSS.S581103","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
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.
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.