This study explores the predictive value of the triglyceride–glucose (TyG) index and its derivatives (TyG–BMI, TyG–WC, TyG–WHtR) for all-cause and cardiovascular mortality in hypertensive patients. Using data from 9,432 hypertensive participants in the National Health and Nutrition Examination Survey (NHANES) (1999–2018), researchers employed Cox proportional hazards models and machine learning techniques to analyze mortality risks.
Key findings:
The TyG index and its derivatives were independent predictors of all-cause and cardiovascular mortality.
TyG–WHtR had the strongest association, with each 1-unit increase linked to a 41.7% higher risk of all-cause mortality and a 48.1% higher risk of cardiovascular mortality.
L-shaped relationships were observed between TyG-related indices and mortality risk.
Incorporating TyG indices into predictive models improved risk stratification in hypertensive patients.
The study highlights the TyG index and its derivatives as valuable tools for identifying high-risk hypertensive patients, emphasizing their clinical utility in risk prediction models.
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