Severe obstructive sleep apnea phenotypes by cluster analysis based on multiple organs function.

ABSTRACT: Obstructive sleep apnea (OSA) is a heterogeneous disorder and the severe OSA could lead to cardiovascular and metabolic comorbidities. However, the OSA diagnosis focuses on the respiratory system according to guidelines. In this study, we aim to explore the clinical phenotypes of severe OSA based on comprehensive assessment of multiple organs function using cluster analysis. Patients with severe OSA were studied with data of age, sex, anthropometric examination, blood pressure, liver and renal function, lipid levels, fasting blood glucose, apnea index (AI), hyponea index (HI), apnea-hyponea index (AHI), lowest Sao2 during sleep-monitor, and disorders of nonalcoholic fatty liver disease (NAFLD) and carotid atherosclerosis (CAS). Cluster analysis was performed using k-medoids algorithm. A to

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC12480938 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature