Why the study?
The TyG index is linked to cardiovascular diseases, but its relationship with stroke and all-cause mortality in CAD patients is not well understood.
Does an elevated triglyceride-glucose (TyG) index predict the occurrence of stroke and all-cause mortality in patients with coronary artery disease?
Does an elevated triglyceride-glucose (TyG) index predict the occurrence of stroke and all-cause mortality in patients with coronary artery disease?
In patients with coronary artery disease, the triglyceride-glucose (TyG) index shows a U-shaped association with stroke (threshold 8.14) and a J-shaped association with all-cause mortality (threshold 9.25), offering a practical metabolic biomarker for risk stratification.
Answers are grounded in this paper and cite their sources.
TyG-stroke/ACM link in CAD is hypothesis-generating; leaves open prospective validation before risk-stratification use.
The triglyceride-glucose (TyG) index is related to various cardiovascular diseases, but its relationship with stroke and all-cause mortality (ACM) in individuals with coronary artery disease (CAD) is still not well understood. This research sought to analyze the interaction between the TyG index and the occurrence of stroke and ACM in CAD participants. The dataset was derived from the National Health and Nutrition Examination Survey (NHANES), with 809 CAD patients included from 1999 to 2018. TyG index was determined by ln[fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. Findings showed that heightened TyG index values were markedly associated with a greater risk of stroke; a U-shaped interconnection was detected between the TyG index and stroke risk, with the threshold at 8.14. Individuals with a TyG index exceeding this threshold exhibited a markedly higher rate of stroke occurrence. Additionally, a J-shaped correlation was observed between the TyG index and ACM, with the threshold at 9.25, above which the risk of death increased. These findings indicate that the TyG index could act as a practical indicator for predicting stroke and ACM among CAD patients, particularly when considering threshold values.
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Huang et al. (2025) studied this question.
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