Objective
We hypothesized that the Hemopexin-Apolipoprotein B product (Hpx·apoB), a composite biomarker integrating lipid dysregulation and oxidative stress pathways, would improve coronary artery disease (CAD) diagnosis and risk stratification.
Methods
This single-center cross-sectional study included 460 participants (350 CAD patients, 110 non-significant CAD controls). Plasma hemopexin (Hpx) was measured by liquid chromatography – tandem mass spectrometry, and the Hpx·apoB product was calculated. Multivariate logistic regression analyzed its CAD association, while area under the curve (AUC), net reclassification index (NRI), and integrated discrimination improvement (IDI) assessed its incremental predictive value over conventional risk factors and established models (Framingham, SCORE2).
Results
The Hpx·apoB product was significantly elevated in CAD patients compared to controls (median [IQR]: 2.35 [1.80–3.15] vs. 1.72 [1.30–2.25] mg2/L2, p < 0.001). After adjusting for traditional cardiovascular risk factors, Hpx·apoB remained an independent predictor of CAD (Odds Ratio [OR] = 2.61, 95 % Confidence Interval [CI]: 1.48–4.60, p = 0.001). Adding Hpx·apoB to a baseline model with conventional risk factors (hs-CRP + LDL-C) significantly improved the AUC from 0.75 (95 % CI: 0.70–0.80) to 0.83 (95 % CI: 0.79–0.87; p for ΔAUC < 0.001), with a continuous NRI of 0.352 (p < 0.001) and an IDI of 0.098 (p < 0.001). Furthermore, integrating Hpx·apoB into the Framingham and SCORE2 models also yielded significant improvements in risk reclassification (NRI = 29.5 % and 39.8 %, respectively; both p < 0.001).
Conclusion
The Hpx·apoB biomarker, combining oxidative stress and lipid metabolism, independently predicts CAD presence and severity while improving existing risk models’ accuracy, enhancing clinical risk stratification.
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