Multistate Modeling for Determining Transition Probabilities in Sleep Apnea Severity Across Multiple Nights of Recording

OSA is one of the most frequent chronic diseases associated with a high burden on individuals, health systems, and society. In recent years, the internight variability in OSA severity has emerged as a highly intriguing subject in sleep medicine. It was considered primarily as an obstacle to certainty in clinical decision-making because substantial variability is associated with misdiagnosis (20%-60% on any given night) and potentially incorrect treatment indications.1 Repeated assessments have been proposed as a solution to mitigate the risk of errors.

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Publication Details

Journal
CHEST Pulmonary
Published
2025-04-08
DOI
https://doi.org/10.1016/j.chpulm.2025.100170
Primary Topic
Obstructive Sleep Apnea Research
Type
article
Field-Weighted Citation Impact
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article

Multistate Modeling for Determining Transition Probabilities in Sleep Apnea Severity Across Multiple Nights of Recording

Sébastien Bailly, Bastien Lechat, Jean‐Louis Pépin, Jean‐Benoît Martinot et al.
CHEST Pulmonary
Obstructive Sleep Apnea Research
article

Multistate Modeling for Determining Transition Probabilities in Sleep Apnea Severity Across Multiple Nights of Recording

Sébastien Bailly, Bastien Lechat, Jean‐Louis Pépin, Jean‐Benoît Martinot, Nhât-Nam Lê-Dông
article en

Abstract

OSA is one of the most frequent chronic diseases associated with a high burden on individuals, health systems, and society. In recent years, the internight variability in OSA severity has emerged as a highly intriguing subject in sleep medicine. It was considered primarily as an obstacle to certainty in clinical decision-making because substantial variability is associated with misdiagnosis (20%-60% on any given night) and potentially incorrect treatment indications.1 Repeated assessments have been proposed as a solution to mitigate the risk of errors.

CHEST PulmonaryVol. 3(2)
Inserm (FR), Flinders University (AU), Adelaide Institute for Sleep Health (AU), Université Grenoble Alpes (FR), UCLouvain (BE)
Openalex Percentile: Top 91%
Obstructive Sleep Apnea Research
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