The triglyceride-glucose index and its obesity-related derivatives as predictors of all-cause and cardiovascular mortality in hypertensive patients: insights from NHANES data with machine learning analysis.

Journal: Cardiovascular diabetology
PMID: 39881352

Abstract

BACKGROUND: Hypertension (HTN) is a global public health concern and a major risk factor for cardiovascular disease (CVD) and mortality. Insulin resistance (IR) plays a crucial role in HTN-related metabolic dysfunction, but its assessment remains challenging. The triglyceride-glucose (TyG) index and its derivatives (TyG-BMI, TyG-WC, and TyG-WHtR) have emerged as reliable IR markers. In this study, we evaluated their associations with all-cause and cardiovascular mortality in hypertensive patients using machine learning techniques.

Authors

  • Chenyang Li
  • Zixi Zhang
    College of Information Science and Engineering, Hunan Normal University, Changsha 410081, China.
  • Xiaoqin Luo
    Department of Geriatrics, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.
  • Yichao Xiao
    Department of Cardiology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.
  • Tao Tu
    Google Research, Mountain View, CA, USA.
  • Chan Liu
    Department of International MedicineThe Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.
  • Qiming Liu
    Department of Cardiovascular Medicine/Cardiac Catheterization Lab, Second Xiangya Hospital, Central South University, No. 139 Middle Renmin Road, Changsha, 410011, Hunan Province, People's Republic of China. qimingliu@csu.edu.cn.
  • Cancan Wang
    First Clinical College, Changsha Medical University, Changsha, 410219, Hunan, People's Republic of China.
  • Yongguo Dai
    Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
  • Zeying Zhang
    Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, PR China.
  • Cheng Zheng
    Department of Computer Science, University of California, Los Angeles.
  • Jiafeng Lin
    Department of Cardiology, The Second Affiliated Hospital, Wenzhou Medical University, Wenzhou, 325027, Zhejiang, People's Republic of China. linjiafeng_wzmcfey@163.com.

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