Prognostic value of triglyceride-glucose index in patients with chronic coronary syndrome undergoing percutaneous coronary intervention

• Published in: Cardiovascular diabetology 2023-11, Vol.22 (1), p.322-322, Article 322
• Main Authors: Tao, Shiyi, Yu, Lintong, Li, Jun, Xie, Zicong, Huang, Li, Yang, Deshuang, Tan, Yuqing, Zhang, Wenjie, Huang, Xuanchun, Xue, Tiantian
• Format: Article
• Language: English
• Subjects: Acute coronary syndromes; Algorithms; Angioplasty; Biomarkers; Blood Glucose; Blood pressure; Body mass index; Cardiovascular disease; Cardiovascular Diseases; Cholesterol; Chronic coronary syndrome; Coronary Artery Disease; Coronary vessels; Feature selection; Glucose; Heart; Heart attacks; Hemoglobin; Humans; Hypertension; Insulin Resistance; Ischemia; Lipoproteins; Major adverse cardiovascular events; Medical imaging; Metabolic disorders; Patients; Percutaneous coronary intervention; Percutaneous Coronary Intervention - adverse effects; Population studies; Prognosis; Risk Assessment; Risk Factors; Triglyceride-glucose index; Triglycerides; Variables
• ISSN: 1475-2840; 1475-2840
• DOI: 10.1186/s12933-023-02060-7

The triglyceride-glucose (TyG) index has been proposed as a reliable surrogate marker of insulin resistance and an independent predictor of major adverse cardiovascular events (MACEs). Several recent studies have shown the relationship between the TyG index and cardiovascular outcomes; however, the role of the TyG index in chronic coronary syndrome (CCS) progression has not been extensively assessed especially in population after revascularization. This study aimed to investigate the prognostic value of the TyG index in predicting MACEs in CCS patients undergoing percutaneous coronary intervention (PCI). The data for the study were taken from the Hospital Information System database in China-Japan Friendship Hospital over the period 2019-2021. Eligible participants were divided into groups according to the TyG index tertiles. The Boruta algorithm was performed for feature selection. Multivariate Cox proportional hazards models and restricted cubic spline (RCS) analysis were applied to examine the dose-response relationship between the TyG index and endpoint, and the results were expressed with hazard ratio (HR) and 95% confidence interval (CI) values. The area under the receiver operating characteristic (ROC) curve (AUC), decision curve analysis (DCA), and clinical impact curve (CIC) were plotted to comprehensively evaluate the predictive accuracy and clinical value of the model. The goodness-of-fit of models was evaluated using the calibration curve and χ likelihood ratio test. After applying inclusion and exclusion criteria, 1353 patients with CCS undergoing PCI were enrolled in the study. After adjusting for all confounders, we found that those with the highest TyG index had a 59.5% increased risk of MACEs over the 1-year follow-up (HR 1.595, 95% CI 1.370 ~ 1.855). Using the lowest TyG index tertile as the reference (T1), the fully adjusted HRs (95% CIs) for endpoints was 1.343 (1.054 ~ 1.711) in the middle (T2) and 2.297 (1.842 ~ 2.864) in highest tertile (T3) (P for trend