ArticleRespiratory research & clinical practice2026
Clinical phenotypes of obstructive sleep apnea identified using cluster analysis.
Article in Respiratory research & clinical practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: To describe clinical obstructive sleep apnea (OSA) phenotypes based on emerging groups. Methods: A cross-sectional study was conducted among adult patients referred for home sleep respiratory assessment. Cluster analysis was conducted based on sex, age, Epworth Sleepiness Scale (ESS) score, BMI, neck > 40 cm (women) or > 42 cm (men), hypertension, and time spent with SpO Results: The K-means algorithm identified three groups: 1) Severe obesity, borderline sleepiness (n = 1,026) with a mean BMI of 34.7 kg/m Conclusions: In this large sample of Latin American patients with OSA diagnosed using home respiratory polygraphy, cluster analysis identified three clinically relevant phenotypes. Notably, severe OSA was observed both in patients with severe obesity and borderline daytime symptoms and in overweight patients with excessive daytime sleepiness. These findings highlight the heterogeneity of OSA and emphasize the need for individualized phenotype-based clinical approaches.
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