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发作性睡病相关睡眠障碍患者多次睡眠潜伏期试验中的概率性睡眠分期

Probabilistic sleep staging in MSLTs across hypersomnia disorders.

作者信息

Hjuler Andersen Louise, Brink-Kjaer Andreas, Sum-Ping Oliver, Pizza Fabio, Biscarini Francesco, Haubjerg Østerby Niels Christian, Mignot Emmanuel, Plazzi Giuseppe, Jennum Poul J

机构信息

Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.

Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Rigshospitalet Glostrup, Denmark.

出版信息

Sleep. 2025 Feb 10;48(2). doi: 10.1093/sleep/zsae241.

Abstract

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 sleep attacks and unstable sleep-wake states common in NT1. Further, NT1 and NT2 could be frequently distinguished using "lights off" features.

摘要

研究目的

本研究旨在利用多次睡眠潜伏期试验(MSLT)记录中的两次午睡机会期(“开灯”)和午睡机会期(“关灯”)特征,识别发作性睡病1型(NT1)的新标志物。我们假设NT1可以从睡眠-觉醒不稳定性和清醒期间的嗜睡模式中识别出来。此外,我们探讨了尽管NT1和发作性睡病2型(NT2)患者具有相同的诊断阈值,但他们的MSLT是否能够区分。

方法

我们分析了MSLT的“开灯”和“关灯”期,使用来自三个睡眠中心的177例NT1、NT2、特发性嗜睡(IH)和主观性嗜睡(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。这些特征基于使用U-Sleep的自动概率睡眠分期,也称为睡眠密度。使用“开灯”和“关灯”期的一个或两个特征来区分嗜睡症。

结果

仅使用“开灯”期的特征,NT1患者可与NT2、IH和sH患者区分开来,敏感性为0.76,特异性为0.71。当使用MSLT所有时期的特征时,NT1仅与NT2区分开来,敏感性为0.77,特异性为0.84。

结论

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-觉醒状态的潜在标志物。此外,NT1和NT2可以通过“关灯”特征频繁区分。

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