Recognizable Clinical Subtypes of Obstructive Sleep Apnea After Ischemic Stroke: A Cluster Analysis
Chung-Yao Chen,1,2 Chia-Ling Chen3,4 1Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Keelung, Taiwan; 2School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan; 3Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital...
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| Formato: | article |
| Lenguaje: | EN |
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Dove Medical Press
2021
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| Acceso en línea: | https://doaj.org/article/f4ca06da2d82410eb975e92ec8f7f244 |
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| Sumario: | Chung-Yao Chen,1,2 Chia-Ling Chen3,4 1Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Keelung, Taiwan; 2School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan; 3Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Linkou, Taiwan; 4Graduate Institute of Early Intervention, College of Medicine, Chang Gung University, Taoyuan, TaiwanCorrespondence: Chung-Yao ChenDepartment of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, No. 200, Ln. 208, Jijin 1st Road, Anle Dist., Keelung City, 204, TaiwanTel +886-2-2432-9355 Ext 2545Fax +886-2-24315931Email jongyau2002@gmail.comBackground and Purpose: Obstructive 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.Methods: The 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.Results: A 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.Conclusion: Post-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.Keywords: obstructive sleep apnea, ischemic stroke, cluster analysis, latent class analysis |
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