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

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

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) i...

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Bibliographic Details
Main Authors: Chenyang Li, Zixi Zhang, Xiaoqin Luo, Yichao Xiao, Tao Tu, Chan Liu, Qiming Liu, Cancan Wang, Yongguo Dai, Zeying Zhang, Cheng Zheng, Jiafeng Lin
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Cardiovascular Diabetology
Subjects:
Triglyceride–glucose (TyG) index
Hypertension
Mortality
Machine learning
National Health and Nutrition Examination Survey (NHANES)
Online Access:https://doi.org/10.1186/s12933-025-02591-1
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