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TG/HDL-C Ratio as a Superior Diagnostic Biomarker for Coronary Plaque Burden in First-Time Acute Coronary Syndrome
Fatih Aydin1, Bektaş Murat1, Selda Murat2
1Department of Cardiology, Eskisehir City Hospital, 26080 Eskisehir, Türkiye.
Insights
The TG/HDL-C ratio is a better predictor of coronary plaque burden than LDL-C in acute coronary syndrome patients. This lipid ratio offers a cost-effective tool for assessing plaque extent during initial evaluations.
Area of Science:
- Cardiology
- Lipidology
- Diagnostic Biomarkers
Background:
- Current acute coronary syndrome (ACS) risk assessment relies heavily on LDL-C, but its accuracy in reflecting coronary plaque burden is limited.
- Investigating advanced lipid profiles, particularly the TG/HDL-C ratio, may offer improved diagnostic capabilities for significant coronary plaque in treatment-naïve ACS patients.
Purpose of the Study:
- To evaluate the TG/HDL-C ratio as a diagnostic marker for coronary plaque burden in first-time ACS patients.
- To compare the efficacy of the TG/HDL-C ratio against LDL-C in predicting extensive coronary plaque.
Main Methods:
- Analysis of 376 treatment-naïve ACS patients undergoing PCI with complete lipid data.
- Quantification of coronary plaque burden using quantitative coronary angiography (QCA) and stratification by lesion count.
- Measurement of lipid levels and ratios (LDL-C, HDL-C, TC, TG, LDL/HDL-C, TC/HDL-C, TG/HDL-C) with statistical analysis including logistic regression and ROC analysis.
Main Results:
- The TG/HDL-C ratio demonstrated a significant progressive increase with higher coronary plaque burden (lesion count).
- The TG/HDL-C ratio was identified as an independent predictor of high plaque burden (OR 1.25, p=0.004), outperforming LDL-C.
- ROC analysis indicated the superior diagnostic performance of the TG/HDL-C ratio.
Conclusions:
- The TG/HDL-C ratio serves as a more effective diagnostic biomarker than LDL-C for identifying extensive coronary plaque burden in ACS patients.
- Incorporating the TG/HDL-C ratio into initial lipid profiling provides a valuable, cost-effective tool for risk stratification.
Abstract:
Background: Present ACS risk stratification predominantly depends on LDL-C, yet its diagnostic accuracy for coronary plaque burden remains limited. We examined whether extensive lipid profiling, specifically the TG/HDL-C ratio, could function as a more effective diagnostic instrument for forecasting significant plaque burden in treatment-naïve first-time ACS patients. Methods: Among 722 ACS patients screened, 376 treatment-naïve patients undergoing PCI with complete lipid data were included. Exclusions (n = 346) were due to prior CAD, lipid-lowering therapy, renal/hepatic dysfunction, malignancy, pregnancy, or incomplete data. Coronary plaque burden was quantified by QCA, and patients were stratified by lesion count (0, 1, 2, 3, ≥4). The levels of lipids (LDL-C, HDL-C, TC, TG) and their ratios (LDL/HDL-C, TC/HDL-C, TG/HDL-C) were measured. Analyses included ANOVA (with Bonferroni correction), correlation, ordinal regression, and logistic regression (≥3 vs. <3 lesions). ROC analysis determined thresholds. Results: TG/HDL-C ratio increased progressively from 3.3 (0 lesions) to 5.3 (≥4 lesions). After Bonferroni correction, only TG/HDL-C retained significance (p = 0.009). Logistic regression confirmed TG/HDL-C as an independent predictor of high plaque burden (OR 1.25, 95% CI 1.09-1.42, p = 0.004), outperforming LDL-C. Conclusions: TG/HDL-C ratio is a superior diagnostic biomarker compared to LDL-C for identifying extensive coronary plaque burden. Integration into admission lipid profiling offers a cost-effective, actionable tool.
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