OSA patients not treated with PAP - Evolution over 5 years according to the Baveno classification and cardiovascular outcomes.


Journal

Sleep medicine
ISSN: 1878-5506
Titre abrégé: Sleep Med
Pays: Netherlands
ID NLM: 100898759

Informations de publication

Date de publication:
12 2021
Historique:
received: 26 06 2021
revised: 21 08 2021
accepted: 13 09 2021
pubmed: 29 10 2021
medline: 7 1 2022
entrez: 28 10 2021
Statut: ppublish

Résumé

The evolution of patients with obstructive sleep apnea (OSA) non-eligible for PAP-therapy at diagnosis is unknown. Currently, the severity of OSA is based on the apnea-hypopnea index (AHI), but its prognostic relevance has raised concerns. The Baveno classification may allow a better stratification of severity and therapeutic guidance in OSA. Patients with AHI≥5/h in 2015, classified into Baveno groups A and B and non-eligible for PAP therapy at diagnosis and over 5 years, were analyzed. Patients were reclassified into Baveno groups (A-D) and changes in groups over 5 years were explored. Patients in Baveno groups C and D, who developed major cardiovascular comorbidities (CVC) or end-organ damage (EOD group), were compared with patients in Baveno groups A and B (non-EOD group). To identify predictors of the development of major CVC or EOD, a logistic regression analysis was performed. There were 76 patients, 58% male, mean age 51.9 ± 10.1 years, mean body mass index (BMI) of 30.3 ± 5.0 kg/m2 and median AHI of 8.9 (5.9-12.0) events/h. At diagnosis, 46% and 54% of patients were classified into Baveno group A and group B, respectively. In total, 21% of patients developed major CVC or EOD (Baveno group C or D); higher age (p = 0.011) and BMI (p = 0.004) and a higher percentage of central apneas (p = 0.012) at diagnosis significantly predicted it, while sex, sleepiness, insomnia, AHI, ODI and T90 were not. A significant percentage of patients non-eligible for PAP-therapy at diagnosis of OSA developed CVC or EOD; higher age and BMI and a higher percentage of central apneas were significant predictors.

Identifiants

pubmed: 34710706
pii: S1389-9457(21)00484-6
doi: 10.1016/j.sleep.2021.09.010
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-6

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

M Serino (M)

Department of Pneumology, Centro Hospitalar São João, Porto, Portugal. Electronic address: mariana.serino@gmail.com.

C Cardoso (C)

Department of Pneumology, Centro Hospitalar São João, Porto, Portugal.

R J Carneiro (RJ)

Department of Pneumology, Centro Hospitalar Oeste, Hospital Torres Vedras, Torres Vedras, Portugal.

J Ferra (J)

Department of Pneumology, Hospital de Egas Moniz, Centro Hospitalar Lisboa Ocidental, LisboaVedras, Portugal.

F Aguiar (F)

Department of Pneumology, Hospital de Braga, Braga, Portugal.

D Rodrigues (D)

Pulmonology Department, Centro Hospitalar Universitário São João, Sleep and Non-Invasive Ventilation Unit, Centro Hospitalar Universitário São João, Porto, Portugal.

M Redondo (M)

Pulmonology Department, Centro Hospitalar Universitário São João, Sleep and Non-Invasive Ventilation Unit, Centro Hospitalar Universitário São João, Porto, Portugal.

M van Zeller (M)

Sleep and Non-Invasive Ventilation Unit, Centro Hospitalar Universitário São João, Faculty of Medicine, University of Porto, Porto, Portugal.

M Drummond (M)

Sleep and Non-Invasive Ventilation Unit, Centro Hospitalar Universitário São João, Faculty of Medicine, University of Porto, Porto, Portugal.

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