Nature and Science of Sleep (Feb 2024)

Evaluate the Relationship Between Obstructive Sleep Apnea and Metabolic Syndrome in Real-World Data

  • Tang R,
  • Li C,
  • Di D,
  • Zhou L,
  • Qian Y,
  • Qiang C,
  • Ma C,
  • Zhou R,
  • Wang B,
  • Wang M

Journal volume & issue
Vol. Volume 16
pp. 217 – 231

Abstract

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Renzhe Tang,1,* Chong Li,2,* Dongmei Di,1 Lin Zhou,2 Yongxiang Qian,1 Chaohua Qiang,3 Chao Ma,1 Rui Zhou,1 Bin Wang,1 Min Wang1 1Department of Cardiothoracic Surgery, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu Province, 213003, People’s Republic of China; 2Department of Respiratory Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu Province, 213003, People’s Republic of China; 3Department of Echocardiography, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu Province, 213003, People’s Republic of China*These authors contributed equally to this workCorrespondence: Min Wang; Bin Wang, Department of Cardiothoracic Surgery, The Third Affiliated Hospital of Soochow University, No. 185 of Juqian Street, Changzhou, Jiangsu Province, 213003, People’s Republic of China, Email [email protected]; [email protected]: Obstructive sleep apnea (OSA) is a disorder characterized by disruption in breathing and hypoventilation. In parallel, metabolic syndrome (MetS) mainly co-occur with OSA, however, their association has not been fully elucidated. Therefore, this study aimed to reveal the relationship between OSA and MetS using data from the National Health And Nutrition Examination Survey (NHANES) database and pooled data from Genome-Wide Association Studies (GWAS).Material and Methods: Data from the National Health and Nutrition Examination Survey and pooled data from genome-wide association analysis (GWAS) were used univariate and multivariate logistic regression analyses were carried out to evaluate the correlation between OSA and MetS, and multivariate logistic regression models were utilized for adjusting for potential confounders. Two-sample Mendelian randomization (MR) was used to assess the causal relationship between OSA and MetS. The variance-weighted inverse method was employed as the main method of analysis.Results: A positive relationship of OSA with Mets was evidenced by multivariate logistic regression analysis, and OSA was associated with higher incidence rates of all-cause and cardiovascular mortality. OSA is strongly associated with abdominal obesity, hypertension, hyperglycemia, high triglycerides, and low HDL. Furthermore, except for hypertriglyceridemia, MR analysis indicated that genetically driven OSA was causally associated with a higher risk of MetS.Conclusion: The positive relationship of OSA with Mets was revealed, and higher incidence rates of all-cause mortality and cardiovascular mortality were noted to be correlated with OSA. MR analysis further confirmed the causal relationship of OSA with MetS and cardiovascular disease.Keywords: obstructive sleep apnea, metabolic syndrome, cardiovascular disease, NHANES, Mendelian randomization

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