单位：[1]Center for Dynamical Biomarkers, Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Boston, MA 02215, USA[2]Department of Otolaryngology and South Campus Sleep Center, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China[3]Nanjing Integrated Traditional Chinese and Western Medicine Hospital, Nanjing 210000, China[4]China-Japan Friendship Hospital, Beijing 100029, China
Purpose Despite the increasing number of research studies of cardiopulmonary coupling (CPC) analysis, an electrocardiogram-based technique, the use of CPC in underserved population remains underexplored. This study aimed to first evaluate the reliability of CPC analysis for the detection of obstructive sleep apnea (OSA) by comparing with polysomnography (PSG)-derived sleep outcomes. Methods Two hundred five PSG data (149 males, age 46.8 +/- 12.8 years) were used for the evaluation of CPC regarding the detection of OSA. Automated CPC analyses were based on ECG signals only. Respiratory event index (REI) derived from CPC and apnea-hypopnea index (AHI) derived from PSG were compared for agreement tests. Results CPC-REI positively correlated with PSG-AHI (r = 0.851, p < 0.001). After adjusting for age and gender, CPC-REI and PSG-AHI were still significantly correlated (r = 0.840, p < 0.001). The overall results of sensitivity and specificity of CPC-REI were good. Conclusion Compared with the gold standard PSG, CPC approach yielded acceptable results among OSA patients. ECG recording can be used for the screening or diagnosis of OSA in the general population.
基金：
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [81273820] Funding Source: Medline; NCCIH NIH HHSUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Center for Complementary & Alternative Medicine [T32 AT000051] Funding Source: Medline; NIH HHSUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [T32AT000051] Funding Source: Medline
第一作者单位：[1]Center for Dynamical Biomarkers, Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Boston, MA 02215, USA
通讯作者：
推荐引用方式(GB/T 7714)：
Yan Ma,Shuchen Sun,Ming Zhang,et al.Electrocardiogram-based sleep analysis for sleep apnea screening and diagnosis[J].SLEEP and BREATHING.2020,24(1):231-240.doi:10.1007/s11325-019-01874-8.
APA：
Yan Ma,Shuchen Sun,Ming Zhang,Dan Guo,Arron Runzhou Liu...&Chung-Kang Peng.(2020).Electrocardiogram-based sleep analysis for sleep apnea screening and diagnosis.SLEEP and BREATHING,24,(1)
MLA：
Yan Ma,et al."Electrocardiogram-based sleep analysis for sleep apnea screening and diagnosis".SLEEP and BREATHING 24..1(2020):231-240
