不同失眠症患者在 MSLT 中的概率睡眠分期

IF 5.6 2区 医学 Q1 Medicine
Sleep Pub Date : 2024-10-11 DOI:10.1093/sleep/zsae241
Louise Hjuler Andersen, Andreas Brink-Kjaer, Oliver Sum-Ping, Fabio Pizza, Francesco Biscarini, Niels Christian Haubjerg Østerby, Emmanuel Mignot, Giuseppe Plazzi, Poul J Jennum
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引用次数: 0

摘要

研究目的:本研究旨在利用多重睡眠潜伏期测试(MSLT)记录的小睡间机会期("开灯")和小睡内机会期("关灯")特征,确定 1 型嗜睡症(NT1)的新标记。我们假设,NT1 可以从睡眠-觉醒不稳定性和清醒时的嗜睡模式中识别出来。此外,我们还探讨了尽管诊断阈值相同,但能否区分 NT1 和 2 型嗜睡症(NT2)患者的 MSLT:我们分析了 MSLT 的 "亮灯 "和 "熄灯 "时段,利用来自三个睡眠中心的 177 名 NT1、NT2、特发性过度失眠(IH)和主观性过度失眠(sH)患者的数据,提取了 163 个描述嗜睡、微睡眠和睡眠阶段混合的特征。这些特征是基于自动概率睡眠分期(也称为低密度),使用 U-Sleep。使用 "开灯 "和 "关灯 "中的一个或两个特征来区分过度失眠症:结果:仅使用 "开灯 "时段的特征可将 NT1 患者与 NT2、IH 和 sH 区分开来,灵敏度为 0.76,特异度为 0.71。当使用 MSLT 所有时段的特征时,NT1 与 NT2 的区分灵敏度为 0.77,特异度为 0.84:本研究结果表明,微睡眠和睡眠阶段混合是 NT1 中常见的睡眠发作和不稳定睡眠觉醒状态的潜在标记。此外,利用 "关灯 "特征可以经常区分 NT1 和 NT2。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probabilistic Sleep Staging in MSLTs across Hypersomnia Disorders.

Study objectives: This study aimed to identify novel markers of narcolepsy type 1 (NT1) using between-nap opportunity periods ('Lights On') and in-nap opportunity periods ('Lights Off') features of Multiple Sleep Latency Test (MSLT) recordings. We hypothesized that NT1 could be identified both from sleep-wake instability and patterns of sleepiness during wakefulness. Further, we explored if MSLTs from NT1 and narcolepsy type 2 (NT2) patients could be distinguished despite having the same diagnostic thresholds.

Methods: We analyzed 'Lights On' and 'Lights Off' periods of the MSLT, extracting 163 features describing sleepiness, microsleep, and sleep stage mixing using data from 177 patients with NT1, NT2, Idiopathic Hypersomnia (IH), and Subjective Hypersomnia (sH) from three sleep centers. These features were based on automated probabilistic sleep staging, also denoted as hypnodensities, using U-Sleep. Hypersomnias were differentiated using either or both features from 'Lights On' and 'Lights Off'.

Results: Patients with NT1 could be distinguished from NT2, IH, and sH using features solely from 'Lights On' periods with a sensitivity of 0.76 and specificity of 0.71. When using features from all periods of the MSLT, NT1 was distinguished from NT2 alone with a sensitivity of 0.77 and a specificity of 0.84.

Conclusions: The findings of this study demonstrate microsleeps and sleep stage mixing as potential markers of the sleep attacks and unstable sleep-wake states common in NT1. Further, NT1 and NT2 could be frequently distinguished using 'Lights Off' features.

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来源期刊
Sleep
Sleep Medicine-Neurology (clinical)
CiteScore
8.70
自引率
10.70%
发文量
0
期刊介绍: SLEEP® publishes findings from studies conducted at any level of analysis, including: Genes Molecules Cells Physiology Neural systems and circuits Behavior and cognition Self-report SLEEP® publishes articles that use a wide variety of scientific approaches and address a broad range of topics. These may include, but are not limited to: Basic and neuroscience studies of sleep and circadian mechanisms In vitro and animal models of sleep, circadian rhythms, and human disorders Pre-clinical human investigations, including the measurement and manipulation of sleep and circadian rhythms Studies in clinical or population samples. These may address factors influencing sleep and circadian rhythms (e.g., development and aging, and social and environmental influences) and relationships between sleep, circadian rhythms, health, and disease Clinical trials, epidemiology studies, implementation, and dissemination research.
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