The Incremental Prognostic Value of Incorporating the Triglyceride-Glucose Index into the Traditional Cardiovascular Risk Factors for the Long-term Prognosis in Ischemic Cardiomyopathy Patients with HFpEF following Coronary Artery Bypass Grafting: A Multicenter Cohort Study

作者：Huaiyu Ruan, Shoupeng Duan, Liying He, Yijun Wang, Zhuoya Yao, Lu Pan, Wenyuan Yin, Yi Yang, Jinjun Liu, Jun Wang · 发表于：Journal of Atherosclerosis and Thrombosis · 年份：2025 · DOI：10.5551/jat.65654 · 被引用次数：11 · 研究领域：Cardiovascular Function and Risk Factors、Diabetes, Cardiovascular Risks, and Lipoproteins、Hyperglycemia and glycemic control in critically ill and hospitalized patients

AIM: The triglyceride-glucose (TyG) index, a biomarker commonly used to evaluate metabolic health status, can predict unfavorable outcomes. Thus, we aimed to explore evidence regarding the prognostic value of the TyG index in patients with ischemic cardiomyopathy and heart failure with preserved ejection fraction (HFpEF). METHODS: We enrolled 277 consecutive participants with new-onset ischemic cardiomyopathy and HFpEF who underwent coronary artery bypass grafting (CABG). The primary study endpoint was major adverse cardiovascular events (MACEs), defined as cardiac death, acute myocardial infarction, graft failure, and stroke. RESULTS: During a median follow-up of 43.34 months, 70 patients (25.1%) experienced MACEs. A multivariable Cox regression analysis identified the TyG index as an independent risk factor for MACEs, with a higher baseline TyG index associated with greater risk after adjusting for confounding factors. A restricted cubic spline showed that the TyG index had a linear relationship across the range. The optimal cut-off value of 9.167 for the TyG index demonstrated a sensitivity of 70% and specificity of 84.1%, with an AUC of 0.820 (p＜0.001, 95% CI: 0.762-0.878), thus effectively stratifying participants into lower TyG index (TyG ＜9.167, n = 182) and higher TyG index groups (TyG ≥ 9.167, n = 95), while subgroup analyses confirmed a robust association with MACEs across various populations. Furthermore, the time-dependent area under the curve, calibration curve, ...