ArticleNature and science of sleep2021
Recognizable Clinical Subtypes of Obstructive Sleep Apnea After Ischemic Stroke: A Cluster Analysis.
Article in Nature and science of sleep, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Clinical prediction models for the early diagnosis of obstructive sleep apnea in stroke patients: a systematic review.Systematic reviews · 2024Pooled it
- Impact of obstructive sleep apnea on gut microbiome of patients with symptomatic intracranial atherosclerotic stenosis.Frontiers in aging neuroscience · 2026Article
- Sleep Disorders and Stroke: Pathophysiological Links, Clinical Implications, and Management Strategies.Medical sciences (Basel, Switzerland) · 2025Review
- Transcriptomic and Polysomnographic Insights Into Core Signaling Pathways in Obstructive Sleep Apnea.Mediators of inflammation · 2025Article
- Heterogeneity of obstructive sleep apnea phenotypes after ischemic stroke: Outcome variation by cluster analysis.Sleep medicine · 2024Observational
- Using a k-means clustering to identify novel phenotypes of acute ischemic stroke and development of its Clinlabomics models.Frontiers in neurology · 2024Article
- Sleep and Stroke: Opening Our Eyes to Current Knowledge of a Key Relationship.Current neurology and neuroscience reports · 2022Review
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeObstructive sleep apnea (OSA) increases risk of stroke recurrence and mortality in ischemic stroke patients. However, equivocal treatment effects warrant further categorization of post-stroke OSA for risk stratification and individualized treatment planning.
methodsThe study recruited 232 ischemic stroke patients with moderate-to-severe OSA admitted for inpatient rehabilitation consecutively. Latent class analysis was performed based on sex, age, smoking, daytime sleepiness, depression, obesity, sedative use, atrial fibrillation, diabetes, dyslipidemia, hypertension, recurrent stroke and dysphagia. The augmentation index, a marker of arterial stiffness, was measured by applanation tonometry.
resultsA three-cluster model provided the best fit. Cluster 1 (n=84, 36.2%) was older in age, predominantly female, with the highest hypopnea index and prevalence of atrial fibrillation. Moreover, patients in Cluster 1 had significantly higher augmentation index than those in Cluster 2. Cluster 2 patients (N=80, 34.5%) were of older age, predominantly male, with the highest prevalence of depression, the lowest prevalence of hypertension and had the most normal body mass index (BMI). Additionally, Cluster 2 had less nocturnal hypoxia as compared to Cluster 3. Cluster 3 (n=68, 29.3%) was the youngest in age, predominantly male, with the highest BMI, cumulative risk score, and prevalence of dyslipidemia of the three clusters.
conclusionPost-stroke OSA can be categorized into three clinical phenotypes. Patients in Clusters 1 and 3 both had elevated cardiovascular risk and treatment can be based on their distinct characteristics. Patients in Cluster 2 had relatively lower risk of cardiovascular events and the benefits of OSA treatment requires further study.
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