Multi-night home assessment of sleep structure in OSA with and without insomnia

多导睡眠图 活动记录 睡眠开始 睡眠起始潜伏期 失眠症 听力学 睡眠(系统调用) 医学 心理学 清醒 物理疗法 呼吸暂停 麻醉 精神科 脑电图 计算机科学 操作系统
作者
Bernice M. Wulterkens,Niek Den Teuling,Lieke WA Hermans,Jerryll Asin,Nanny Duis,Sebastiaan Overeem,Pedro Fonseca,Merel M. van Gilst
出处
期刊:Sleep Medicine [Elsevier]
卷期号:117: 152-161 被引量:2
标识
DOI:10.1016/j.sleep.2024.03.031
摘要

To explore sleep structure in participants with obstructive sleep apnea (OSA) and comorbid insomnia (COMISA) and participants with OSA without insomnia (OSA-only) using both single-night polysomnography and multi-night wrist-worn photoplethysmography/accelerometry. Multi-night 4-class sleep-staging was performed with a validated algorithm based on actigraphy and heart rate variability, in 67 COMISA (23 women, median age: 51 years) and 50 OSA-only (15 women, median age: 51) participants. Sleep statistics were compared using linear regression models and mixed-effects models. Multi-night variability was explored using a clustering approach and between- and within-participant analysis. Polysomnographic parameters showed no significant group differences. Multi-night measurements, during 13.4 ± 5.2 nights per subject, demonstrated a longer sleep onset latency and lower sleep efficiency for the COMISA group. Detailed analysis of wake parameters revealed longer mean durations of awakenings in COMISA, as well as higher numbers of awakenings lasting 5 min and longer (WKN≥5min) and longer wake after sleep onset containing only awakenings of 5 min or longer. Within-participant variance was significantly larger in COMISA for sleep onset latency, sleep efficiency, mean duration of awakenings and WKN≥5min. Unsupervised clustering uncovered three clusters; participants with consistently high values for at least one of the wake parameters, participants with consistently low values, and participants displaying higher variability. Patients with COMISA more often showed extended, and more variable periods of wakefulness. These observations were not discernible using single night polysomnography, highlighting the relevance of multi-night measurements to assess characteristics indicative for insomnia.
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