Observational studyJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2022
Unique clinical phenotypes of patients with obstructive sleep apnea in a Japanese population: a cluster analysis.
Observational study in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Physiological phenotypes of obstructive sleep apnea identified by cluster analysis: Association with type 2 diabetes.Journal of diabetes investigation · 2026Article
- Phenotyping of Obstructive Sleep Apnea Syndrome and Association with Cognitive Impairment, a Real-Life Study.Biomedicines · 2026Article
- Distinct sleep-disordered breathing phenotypes in elderly patients with depressive disorder: links to hypoxemia severity and inflammatory burden.Frontiers in psychiatry · 2026Article
- Respiratory event duration reveals novel phenotypes beyond the apnea-hypopnea index in obstructive sleep apnea.Frontiers in medicine · 2026Article
- A comparative analysis of unsupervised machine-learning methods in PSG-related phenotyping.Journal of sleep research · 2025Article
- Walking the fine line between OSA and aging.Sleep & breathing = Schlaf & Atmung · 2025Review
- The differences between the subtypes of obstructive sleep apnea among different provinces in Turkey: a multicenter study.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025Article
- Multidimensional assessment and cluster analysis for OSA phenotyping.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022Article
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4 authors.
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Abstract
STUDY
objectivesIn an attempt to better understand the heterogeneity of individuals with obstructive sleep apnea (OSA), unbiased analytic approaches such as cluster analysis have been used worldwide; however, only a few such studies have been conducted for Asian populations alone, despite the potential racial/ethnic differences. We thus applied this approach to a Japanese population with OSA.
methodsIn this single-center, retrospective, observational study, our nocturnal polysomnography dataset included the findings for 1,020 patients between May 2016 and December 2020. Of these, 712 patients met the study criteria: aged > 20 years, fully completed questionnaire, no missing data on all-night full polysomnography, and confirmed OSA diagnosis with an apnea-hypopnea index (AHI) > 15 events/h. We employed hierarchical cluster analysis using demographic data, self-reported symptoms, and polysomnographic data.
resultsWe identified 5 distinct clinical clusters within the OSA patient population, which were labeled as "classic OSA" (20--67 years, obese, high AHI, high Epworth Sleepiness Scale [ESS]), "milder classic OSA" (22--77 years, obese, high AHI, low ESS), "nonobese and minimally symptomatic" (20--88 years, moderate AHI, low ESS), "excessive sleepiness without severe OSA" (26--79 years, moderate AHI, high ESS), and "older adult and severe OSA" 55--92 years, (high AHI, low ESS). Of these, the last 3 clusters were characterized as nonobese. Notably, we identified the cluster with excessive sleepiness despite less severe OSA. We did not identify any clusters with predominant upper-airway obstruction symptoms because the symptoms were prevalent and equally distributed in all clusters.
conclusionsWe found some unique clinical phenotypes in nonobese patients with OSA in a Japanese population. CITATION: Ida H, Suga T, Nishimura M, Aoki Y. Unique clinical phenotypes of patients with obstructive sleep apnea in a Japanese population: a cluster analysis.
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