The Contribution of Sleep Texture in the Characterization of Sleep Apnea.
cyclic alternating pattern
polysomnography
sleep apnea
sleep texture
Journal
Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402
Informations de publication
Date de publication:
29 Jun 2023
29 Jun 2023
Historique:
received:
29
05
2023
revised:
20
06
2023
accepted:
27
06
2023
medline:
14
7
2023
pubmed:
14
7
2023
entrez:
14
7
2023
Statut:
epublish
Résumé
Obstructive sleep apnea (OSA) is multi-faceted world-wide-distributed disorder exerting deep effects on the sleeping brain. In the latest years, strong efforts have been dedicated to finding novel measures assessing the real impact and severity of the pathology, traditionally trivialized by the simplistic apnea/hypopnea index. Due to the unavoidable connection between OSA and sleep, we reviewed the key aspects linking the breathing disorder with sleep pathophysiology, focusing on the role of cyclic alternating pattern (CAP). Sleep structure, reflecting the degree of apnea-induced sleep instability, may provide topical information to stratify OSA severity and foresee some of its dangerous consequences such as excessive daytime sleepiness and cognitive deterioration. Machine learning approaches may reinforce our understanding of this complex multi-level pathology, supporting patients' phenotypization and easing in a more tailored approach for sleep apnea.
Identifiants
pubmed: 37443611
pii: diagnostics13132217
doi: 10.3390/diagnostics13132217
pmc: PMC10340273
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
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