Characteristics associated with hypersomnia and excessive daytime sleepiness identified by extended polysomnography recording

艾普沃思嗜睡量表 多导睡眠图 多次睡眠潜伏期试验 白天过度嗜睡 医学 嗜睡症 心理学 睡眠障碍 失眠症 睡眠(系统调用) 体质指数 慢波睡眠 睡眠开始 物理疗法 嗜睡 睡眠呼吸暂停 睡眠阶段 阻塞性睡眠呼吸暂停 精神科 内科学 呼吸暂停 脑电图 操作系统 计算机科学
作者
Elisa Evangelista,Anna Laura Rassu,Lucie Barateau,Régis Lopez,Sofiène Chenini,Isabelle Jaussent,Yves Dauvilliers
出处
期刊:Sleep [Oxford University Press]
卷期号:44 (5) 被引量:18
标识
DOI:10.1093/sleep/zsaa264
摘要

Hypersomnolence, defined by excessive daytime sleepiness (EDS) or excessive quantity of sleep (EQS), has been associated with increased morbidity. The aim of this study was to determine the clinical and polysomnographic characteristics associated with EQS and EDS assessed objectively during extended polysomnography recording.A total of 266 drug-free subjects (201 women; mean age: 26.5 years [16.08; 60.87]) underwent 32-h bed-rest polysomnography recording preceded by polysomnography and modified multiple sleep latency test (mMSLT). Participants were categorized according to their total sleep time (bed-rest TST ≥19 h, hypersomnia), objective EDS (mean sleep latency on MSLT ≤8 min), and self-reported EDS (Epworth sleepiness scale score >10) and EQS (≥9 h/24 h per week).Subjects with hypersomnia were often younger, with normal sleep architecture, high nighttime sleep efficiency, and severe objective EDS. No association with sex, body mass index, Epworth sleepiness scale, EQS, and depressive symptoms was detected. Subjects with objective EDS had less EQS, higher sleep efficiency, and increased hypersomnia. Discrepancies were observed between objective and self-reported measures of sleep duration and EDS. Finally, 71 subjects were identified who had objective hypersomnia and/or EDS, no medical and psychiatric conditions and normal polysomnography parameters, and therefore met the stringent criteria of idiopathic hypersomnia, an orphan disorder.Sleep duration and EDS should be quantified using self-reported and objective measures in a controlled procedure to differentiate long sleepers, patients with hypersomnia, and patients with idiopathic hypersomnia. This will help to better understand their biology, to identify specific biomarkers, and to assess related health outcomes.
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