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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F24%3A43921382" target="_blank" >RIV/00023752:_____/24:43921382 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S1389945724004817" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1389945724004817</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.sleep.2024.10.015" target="_blank" >10.1016/j.sleep.2024.10.015</a>

Result language

angličtina

Original language name

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

Original language description

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.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).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/m2 [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/m2 [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/m2[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&quot; (22.5 %): middle aged (53.5 years [46–60]) with BMI 29 kg/m2[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.Conclusion: Four distinct female phenotypes were identified with different clinical presentation and comorbidities. Sex-based phenotyping may provide improved risk stratification and personalized treatment.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30210 - Clinical neurology

Project

—

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Sleep Medicine

ISSN

1389-9457

e-ISSN

1878-5506

Volume of the periodical

124

Issue of the periodical within the volume

December

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

8

Pages from-to

494-501

UT code for WoS article

001341033900001

EID of the result in the Scopus database

2-s2.0-85206934644