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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30210 - Clinical neurology

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Sleep Medicine

ISSN

1389-9457

e-ISSN

1878-5506

Svazek periodika

124

Číslo periodika v rámci svazku

December

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

8

Strana od-do

494-501

Kód UT WoS článku

001341033900001

EID výsledku v databázi Scopus

2-s2.0-85206934644