ArticleScientific reports2020
Polysomnographic phenotyping of obstructive sleep apnea and its implications in mortality in Korea.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Evaluation of Blood Intercellular Adhesion Molecule-1 (ICAM-1) Level in Obstructive Sleep Apnea: A Systematic Review and Meta-Analysis.Medicina (Kaunas, Lithuania) · 2022Pooled it
- A foundation model for sleep-based risk stratification and clinical outcomes.Nature communications · 2026Article
- Sleep phenotypes and clinical outcomes in individuals with chronic obstructive pulmonary disease: A cohort study.Sleep & breathing = Schlaf & Atmung · 2026Article
- Integrating phenotypic information of obstructive sleep apnea and deep representation of sleep-event sequences for cardiovascular risk prediction.BMC medical informatics and decision making · 2026Article
- Severity classification of obstructive sleep apnea using AASM and SEPAR criteria: A cross-sectional reclassification analysis.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 · 2026Article
- Beyond the Apnea-Hypopnea Index: Exploring Time-Dependent Hazard Ratios of Respiratory Events in Obstructive Sleep Apnea.Advances in respiratory medicine · 2025Observational
- Neuro-Ophthalmological Disorders Associated with Obstructive Sleep Apnoea.International journal of molecular sciences · 2025Review
- A comparative analysis of unsupervised machine-learning methods in PSG-related phenotyping.Journal of sleep research · 2025Article
- Association between obstructive sleep apnea and hyperuricemia/gout in the general population: a cross-sectional study.BMC musculoskeletal disorders · 2025Article
- Research progress on the clinical subtyping of obstructive sleep apnea hypopnea syndrome.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024Review
- Relationship between chronic rhinosinusitis and risk of obstructive sleep apnea.Scientific reports · 2024Article
- Automatic prediction of obstructive sleep apnea in patients with temporomandibular disorder based on multidata and machine learning.Scientific reports · 2024Article
- Clinical and Polysomnographic Characteristics of Adult Patients with Suspected Obstructive Sleep Apnea from Different Sleep Clinics at a Single Tertiary Center.Neurology and therapy · 2024Article
- Identifying clusters of patient comorbidities associated with obstructive sleep apnea using electronic health records.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- Differences in Polysomnographic and Craniofacial Characteristics of Catathrenia Phenotypes: A Cluster Analysis.Nature and science of sleep · 2024Article
- Characterisation of Symptom and Polysomnographic Profiles Associated with Cardiovascular Risk in a Sleep Clinic Population with Obstructive Sleep Apnoea.Nature and science of sleep · 2024Article
- Article
- Application of various machine learning techniques to predict obstructive sleep apnea syndrome severity.Scientific reports · 2023Article
- Prognostic importance of obstructive sleep apnea and CPAP treatment for cardiovascular and mortality outcomes in patients with resistant hypertension: a prospective cohort study.Hypertension research : official journal of the Japanese Society of Hypertension · 2023Article
- Incidence and Risk Factors for Hypoxia in Deep Sedation of Propofol for Artificial Abortion Patients.Frontiers in medicine · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Conventionally, apnea-hypopnea index (AHI) is used to define and categorize the severity of obstructive sleep apnea. However, routine polysomnography (PSG) includes multiple parameters for assessing the severity of obstructive sleep apnea. The goal of this study is to identify and categorize obstructive sleep apnea phenotypes using unsupervised learning methods from routine PSG data. We identified four clusters from 4,603 patients by using 29 PSG variable and arranged according to their mean AHI. Cluster 1, spontaneous arousal (mean AHI = 8.52/h); cluster 2, poor sleep and periodic limb movements (mean AHI = 12.16/h); cluster 3, hypopnea (mean AHI = 38.60/h); and cluster 4, hypoxia (mean AHI = 69.66/h). Conventional obstructive sleep apnea classification based on apnea-hypopnea index severity showed no significant difference in cardiovascular or cerebrovascular mortality (Log rank P = 0.331), while 4 clusters showed an overall significant difference (Log rank P = 0.009). The risk of cardiovascular or cerebrovascular mortality was significantly increased in cluster 2 (hazard ratio = 6.460, 95% confidence interval 1.734-24.073) and cluster 4 (hazard ratio = 4.844, 95% confidence interval 1.300-18.047) compared to cluster 1, which demonstrated the lowest mortality. After adjustment for age, sex, body mass index, and underlying medical condition, only cluster 4 showed significantly increased risk of mortality compared to cluster 1 (hazard ratio = 7.580, 95% confidence interval 2.104-34.620). Phenotyping based on numerous PSG parameters gives additional information on patients' risk evaluation. Physicians should be aware of PSG features for further understanding the pathophysiology and personalized treatment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.