Effect of Novel Stratified Lipid Risk by "LDL-Window" and Flow-Mediated Dilation on the Prognosis of Coronary Artery

Shichiro Abe1, Yasuo Haruyama2,3, Gen Kobashi2,3

  • 1Department of Cardiovascular Medicine, Dokkyo Medical University School of Medicine.

Insights

Elevated triglyceride and non-HDL cholesterol levels indicate residual cardiovascular risk. Stratifying this risk with flow-mediated dilation improves prediction of major adverse cardiovascular events in coronary artery disease patients.

Area of Science:

  • Cardiology
  • Lipidology
  • Vascular Biology

Background:

  • Elevated triglyceride (TG) and non-high-density lipoprotein cholesterol (non-HDL-C) represent residual cardiovascular risk during low-density lipoprotein cholesterol (LDL-C) lowering therapy.
  • Understanding this residual risk is crucial for managing patients with coronary artery disease (CAD).

Purpose of the Study:

  • To investigate the association between lipid risk, stratified by TG and non-HDL-C levels, and the prognosis of CAD patients.
  • To examine the relationship between stratified lipid risk and the flow-mediated dilation (FMD) index.

Main Methods:

  • 624 CAD patients were stratified into four groups based on TG (<150 mg/dL vs. ≥150 mg/dL) and non-HDL-C (<170 mg/dL vs. ≥170 mg/dL) levels.
  • Major adverse cardiovascular events (MACE) and FMD index were assessed.
  • Multivariable regression analysis was used to identify independent predictors of MACE.

Main Results:

  • The cumulative incidence of 3-point MACE was significantly higher in the high-risk group (TG ≥150 mg/dL and non-HDL-C ≥170 mg/dL) (P=0.009).
  • This association was significant in patients with an FMD index ≥7.0% (P=0.021) but not in those with FMD <7.0%.
  • High lipid risk and FMD <7.0% were independently correlated with 3-point MACE incidence.

Conclusions:

  • Novel stratification of lipid risk using TG and non-HDL-C levels is valuable for predicting cardiovascular outcomes in CAD patients.
  • Combining this lipid risk stratification with FMD measurement enhances the prediction of cardiovascular events.
Abstract

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