Validation of sleep-staging accuracy for an in-home sleep electroencephalography device compared with simultaneous polysomnography in patients with obstructive sleep apnea

被引:0
作者
Jaehoon Seol
Shigeru Chiba
Fusae Kawana
Saki Tsumoto
Minori Masaki
Morie Tominaga
Takashi Amemiya
Akihiro Tani
Tetsuro Hiei
Hiroyuki Yoshimine
Hideaki Kondo
Masashi Yanagisawa
机构
[1] University of Tsukuba,Faculty of Health and Sports Sciences
[2] University of Tsukuba,International Institute for Integrative Sleep Medicine (WPI
[3] National Center for Geriatrics and Gerontology,IIIS)
[4] Juntendo University Graduate School of Medicine,Department of Frailty Research, Center for Gerontology and Social Science
[5] University of Tsukuba,Cardiovascular Respiratory Sleep Medicine
[6] S’UIMIN,Ph.D. Program in Humanics
[7] Inc.,Department of Respiratory Medicine
[8] Inoue Hospital,Department of General Medicine, Institute of Biomedical Sciences
[9] Nagasaki University,Life Science Center for Survival Dynamics (TARA)
[10] University of Tsukuba,R&D Center for Frontiers of Mirai in Policy and Technology (F
[11] University of Tsukuba,MIRAI)
[12] University of Texas Southwestern Medical Center,Department of Molecular Genetics
来源
Scientific Reports | / 14卷
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摘要
Efforts to simplify standard polysomnography (PSG) in laboratories, especially for obstructive sleep apnea (OSA), and assess its agreement with portable electroencephalogram (EEG) devices are limited. We aimed to evaluate the agreement between a portable EEG device and type I PSG in patients with OSA and examine the EEG-based arousal index’s ability to estimate apnea severity. We enrolled 77 Japanese patients with OSA who underwent simultaneous type I PSG and portable EEG monitoring. Combining pulse rate, oxygen saturation (SpO2), and EEG improved sleep staging accuracy. Bland–Altman plots, paired t-tests, and receiver operating characteristics curves were used to assess agreement and screening accuracy. Significant small biases were observed for total sleep time, sleep latency, awakening after falling asleep, sleep efficiency, N1, N2, and N3 rates, arousal index, and apnea indexes. All variables showed > 95% agreement in the Bland–Altman analysis, with interclass correlation coefficients of 0.761–0.982, indicating high inter-instrument validity. The EEG-based arousal index demonstrated sufficient power for screening AHI ≥ 15 and ≥ 30 and yielded promising results in predicting apnea severity. Portable EEG device showed strong agreement with type I PSG in patients with OSA. These suggest that patients with OSA may assess their condition at home.
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