Sleep apnoea phenotypes in women: A cluster analysis from the ESADA cohort
Language English Country Netherlands Media print-electronic
Document type Journal Article
PubMed
39437459
DOI
10.1016/j.sleep.2024.10.015
PII: S1389-9457(24)00481-7
Knihovny.cz E-resources
- Keywords
- Cluster analysis, Co-morbidities, Female, Gender, OSA, Obstructive sleep apnoea, PAP, Phenotypes, Sex, Treatment, Women,
- MeSH
- Phenotype * MeSH
- Body Mass Index * MeSH
- Cohort Studies MeSH
- Comorbidity * MeSH
- Middle Aged MeSH
- Humans MeSH
- Obesity epidemiology MeSH
- Sleep Apnea, Obstructive * epidemiology MeSH
- Prevalence MeSH
- Aged MeSH
- Cluster Analysis MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Europe epidemiology MeSH
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" (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.
Democritus University of Thrace Sleep Unit Department of Pneumonology Alexandroupolis Greece
Ege University Department of Respiratory Medicine Izmir Turkey
Gothenburg University Sahlgrenska Academy Center of Sleep and Wake Disorders Gothenburg Sweden
Royal Infirmary Edinburgh Department of Sleep Medicine Edinburgh UK
Sleep Disorders Centre University Hospitals Leuven Leuven Belgium
University of Palermo Respiratory Medicine PROMISE Department and IFT CNRPalermo Italy
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