Acta Cardiol. 2025 Nov 27:1-15. doi: 10.1080/00015385.2025.2589958. Online ahead of print.
ABSTRACT
BACKGROUND: This study aimed to evaluate the predictive value of the triglyceride-glucose (TyG) index in combination with inflammatory markers-systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and high-sensitivity C-reactive protein (hsCRP)-for the severity of coronary artery disease (CAD) and the incidence of major adverse cardiovascular events (MACEs) following percutaneous coronary intervention (PCI).
METHODS: A retrospective cohort study was conducted with 759 acute coronary syndrome (ACS) patients who underwent PCI from September 2022 to December 2023. The primary outcome was the occurrence of MACEs within one year, defined as a composite of all-cause death, myocardial infarction, stroke, and angina. TyG index was calculated at admission, and multivariable regression models were used to explore the associations between TyG, inflammatory markers, and coronary lesion severity. Cox proportional hazards models evaluated the predictive ability for MACEs.
RESULTS: Compared with non-MACEs patients, the MACEs group had significantly elevated hsCRP, NLR, and SII levels, and a higher TyG index (8.8 vs. 8.9, p = 0.007). The interaction between TyG and hsCRP remained an independent predictor of MACEs (HR = 1.014, p < 0.001). ROC analysis showed the highest predictive accuracy for MACEs with the TyG-hsCRP combination (AUC = 0.708).
CONCLUSION: The TyG index-inflammation composite is an independent and effective predictor of post-PCI MACEs and may aid in refining current cardiovascular risk prediction models.
PMID:41307921 | DOI:10.1080/00015385.2025.2589958