Triglyceride-glucose index as a suitable non-insulin-based insulin resistance marker to predict cardiovascular events in patients undergoing complex coronary artery intervention: a large-scale cohort study

0302 clinical medicine Clinical relevance RC666-701 Research Diseases of the circulatory (Cardiovascular) system Insulin resistance Prognosis Coronary artery disease Percutaneous coronary intervention
DOI: 10.1186/s12933-023-02110-0 Publication Date: 2024-01-06T15:03:04Z
ABSTRACT
Abstract Background Insulin resistance (IR), a hallmark of proceeding diabetes and cardiovascular (CV) disease, has been shown to predict prognosis in patients undergoing percutaneous coronary intervention (PCI). The triglyceride-glucose (TyG) index, triglyceride high-density lipoprotein cholesterol (TG/HDL-C) ratio metabolic score for insulin (METS-IR) have be simple reliable non-insulin-based surrogates IR. However, limited studies determined the associations between distinct IR markers CV outcomes complex PCI who are at higher risk events after PCI. Therefore, this study aimed investigate compare prognostic value these Methods This was descriptive cohort study. From January 2017 December 2018, total 9514 Fuwai Hospital were consecutively enrolled 3 indices estimated from included patients. primary endpoint events, defined as composite death, nonfatal myocardial infarction stroke. Results During median follow-up 3.1 years, 324 (3.5%) occurred. Multivariable Cox regression models showed per-unit increase TyG index (hazard [HR], 1.42; 95% confidence interval [CI] 1.13–1.77), rather than elevation either Ln(TG/HDL-C ratio) (HR, 1.18; 95%CI 0.96–1.45) or METS-IR 1.00; 0.98–1.02), associated with increased events. Meanwhile, adding original model led significant improvement C-statistics (0.618 vs. 0.627, P < 0.001), NRI (0.12, = 0.031) IDI (0.14%, 0.003), whereas no improvements observed when Ln (TG/HDL-C (both > 0.05) model. Conclusions not TG/HDL-C METS-IR, positively worse Our study, first time, demonstrated that can serve suitable marker help stratification population.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (35)
CITATIONS (11)