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Sleep apnoea phenotypes in women: A cluster analysis from the ESADA cohort.

Authors :
Pataka A
Pepin JL
Bonsignore MR
Schiza S
Saaresranta T
Bouloukaki I
Steiropoulos P
Trakada G
Riha R
Dogas Z
Testelmans D
Basoglu OK
Mihaicuta S
Fanfulla F
Grote L
Bailly S
Source :
Sleep medicine [Sleep Med] 2024 Dec; Vol. 124, pp. 494-501. Date of Electronic Publication: 2024 Oct 15.
Publication Year :
2024

Abstract

Introduction: and Objectives: The clinical presentation of Obstructive Sleep Apnoea (OSA) differs between genders. This study aimed to identify the specific OSA phenotypes of women in the European Sleep Apnoea Database (ESADA) cohort.<br />Materials and Methods: Latent class cluster analysis was applied to data from 9710 female OSA patients. Variables used included age, Body Mass Index (BMI), Epworth Sleepiness Scale (ESS), comorbidities (cardiovascular, pulmonary, psychiatric, metabolic, other) and the Apnoea Hypopnea Index (AHI).<br />Results: Four different clusters were found: Cluster 1"Women with ischemic heart disease" (38.3 %):middle aged (59 years [53-65]),overweight to obese (BMI 30.1 kg/m <superscript>2</superscript> [26.9-33.5]), AHI 22.9 events/h[17.4-30], ESS 9 [5,12] with the highest prevalence of ischemic heart disease (56 %). Cluster 2"Elderly women with comorbidities" (23 %): oldest (66 years[60-71]), obese (BMI 36 kg/m <superscript>2</superscript> [31.6-40.4]),AHI 46 events/h [30-60.1]),ESS 9 [6-13] with the highest prevalence of comorbidities. Cluster 3"Sleepy obese women" (16.2 %): the youngest (49 years [42-55]), sleepiest (ESS 12 [8-16]), most obese(BMI 43 kg/m <superscript>2</superscript> [37.6-48.9]) females with severe OSA (AHI 53.3 events/h [32-80.5]). Cluster 4 "Women with mild OSA and low comorbidities" (22.5 %): middle aged (53.5 years [46-60]) with BMI 29 kg/m <superscript>2</superscript> [25-34.1],ESS9 [5,13]),AHI 8.6events/h[6.9-10.4])and low prevalence of comorbidities. The distribution of the clusters differed across Europe. PAP administration was higher in Clusters 2 and 3 but low in Cluster 4.<br />Conclusion: Four distinct female phenotypes were identified with different clinical presentation and comorbidities. Sex-based phenotyping may provide improved risk stratification and personalized treatment.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1878-5506
Volume :
124
Database :
MEDLINE
Journal :
Sleep medicine
Publication Type :
Academic Journal
Accession number :
39437459
Full Text :
https://doi.org/10.1016/j.sleep.2024.10.015