Polysomnographic Phenotypes of Obstructive Sleep Apnea in a Real-Life Cohort: A Pathophysiological Approach.
Apnea–hypopnea index
Cluster analysis
Obstructive sleep apnea
Polysomnographic phenotypes
Journal
Archivos de bronconeumologia
ISSN: 1579-2129
Titre abrégé: Arch Bronconeumol
Pays: Spain
ID NLM: 0354720
Informations de publication
Date de publication:
Oct 2023
Oct 2023
Historique:
received:
05
04
2023
revised:
10
07
2023
accepted:
11
07
2023
medline:
23
10
2023
pubmed:
30
7
2023
entrez:
29
7
2023
Statut:
ppublish
Résumé
Obstructive sleep apnea (OSA) is heterogeneous and complex, but its severity is still based on the apnea-hypoapnea index (AHI). The present study explores using cluster analysis (CA), the additional information provided from routine polysomnography (PSG) to optimize OSA categorization. Cross-sectional study of OSA subjects diagnosed by PSG in a tertiary hospital sleep unit during 2016-2020. PSG, demographical, clinical variables, and comorbidities were recorded. Phenotypes were constructed from PSG variables using CA. Results are shown as median (interquartile range). 981 subjects were studied: 41% females, age 56 years (45-66), overall AHI 23events/h (13-42) and body mass index (BMI) 30kg/m The CA identifies three specific PSG phenotypes that do not completely agree with classical OSA severity classification. This emphasized that using a simplistic AHI approach, the OSA severity is assessed by an incorrect or incomplete analysis of the heterogeneity of the disorder.
Identifiants
pubmed: 37516558
pii: S0300-2896(23)00222-3
doi: 10.1016/j.arbres.2023.07.007
pii:
doi:
Types de publication
Journal Article
Langues
eng
spa
Sous-ensembles de citation
IM
Pagination
638-644Informations de copyright
Copyright © 2023 SEPAR. Published by Elsevier España, S.L.U. All rights reserved.