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<p>This study investigates the prognostic value of the Zhejiang University (ZJU) Index, a novel metabolic syndrome indicator that combines BMI, fasting blood glucose, triglycerides, and the AST/ALT ratio, in patients with acute myocardial infarction (AMI). Conducted as a retrospective analysis involving 1,250 AMI patients from the Fujian Cardiovascular Medical Center between 2017 and 2022, the research categorized participants according to ZJU Index quartiles. The findings revealed a significant association: each unit increase in the ZJU Index correlated with a 27.2% increase in the risk of major adverse cardiac and cerebrovascular events (MACCEs). A J-shaped relationship between the ZJU Index and MACCEs was identified by both generalized additive model and restricted cubic spline analysis, with a crucial turning point at a ZJU Index of 37.17. Notably, the risk for CIN was significantly linked to the ZJU Index only in male patients. The predictive accuracy for MACCEs was reflected in the ZJU Index's area under the curve (AUC) of 0.77, with sensitivity and specificity values of 82.7% and 64.2%, respectively. This indicates that an elevated ZJU Index can independently predict poorer outcomes following AMI and highlights its potential as a valuable biomarker for clinical risk stratification and intervention.</p>

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Association between the ZJU Index and clinical outcomes in patients with acute myocardial infarction

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月8日

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  • Hailun Zhang,
  • Fei Jiang,
  • Xijing Yu,
  • Jingshan Lin,
  • Sailan Li,
  • Liangwan Chen,
  • Yanjuan Lin

摘要

This study investigates the prognostic value of the Zhejiang University (ZJU) Index, a novel metabolic syndrome indicator that combines BMI, fasting blood glucose, triglycerides, and the AST/ALT ratio, in patients with acute myocardial infarction (AMI). Conducted as a retrospective analysis involving 1,250 AMI patients from the Fujian Cardiovascular Medical Center between 2017 and 2022, the research categorized participants according to ZJU Index quartiles. The findings revealed a significant association: each unit increase in the ZJU Index correlated with a 27.2% increase in the risk of major adverse cardiac and cerebrovascular events (MACCEs). A J-shaped relationship between the ZJU Index and MACCEs was identified by both generalized additive model and restricted cubic spline analysis, with a crucial turning point at a ZJU Index of 37.17. Notably, the risk for CIN was significantly linked to the ZJU Index only in male patients. The predictive accuracy for MACCEs was reflected in the ZJU Index's area under the curve (AUC) of 0.77, with sensitivity and specificity values of 82.7% and 64.2%, respectively. This indicates that an elevated ZJU Index can independently predict poorer outcomes following AMI and highlights its potential as a valuable biomarker for clinical risk stratification and intervention.