TY - JOUR
T1 - Probabilistic sleep staging in MSLTs across hypersomnia disorders
AU - Hjuler Andersen, Louise
AU - Brink-Kjaer, Andreas
AU - Sum-Ping, Oliver
AU - Pizza, Fabio
AU - Biscarini, Francesco
AU - Haubjerg Østerby, Niels Christian
AU - Mignot, Emmanuel
AU - Plazzi, Giuseppe
AU - Jennum, Poul J.
N1 - Publisher Copyright:
© The Author(s) 2024. Published by Oxford University Press on behalf of Sleep Research Society. All rights reserved.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Hypersomnia
KW - Machine learning
KW - Microsleep
KW - MSLT
KW - Narcolepsy
U2 - 10.1093/sleep/zsae241
DO - 10.1093/sleep/zsae241
M3 - Journal article
C2 - 39392922
AN - SCOPUS:85217772568
SN - 0161-8105
VL - 48
JO - Sleep
JF - Sleep
IS - 2
M1 - zsae241
ER -