The predictive value of vascular endothelial growth factor-A gene polymorphism for clinical outcomes among acute ST-segment elevation myocardial infarction patients: A single center prospective study

Abstract

Background: Vascular endothelial growth factor (VEGF) is an angiopoetic factor; its variability in circulating levels is mediated by expression of specific VEGF-A gene variants. The aim of this study was to investigate the predictive role of VEGF-A gene polymorphism in clinical outcomes of STelevation myocardial infarction (STEMI) patients. Methods: For the study, 135 patients with acute STEMI and 30 healthy volunteers were enrolled. The G634C polymorphism in VEGF-A gene was performed by real-time polymerase chain reaction at baseline. The 6-month combined clinical endpoint was then determined. Design: The study was an open prospective single-center cohort study. Results: The entire patient population was distributed into two groups based on the G634G-genotype (n = 70) and combination of G634C and C634C-genotypes (n = 65). Unadjusted multivariate regressive logistic analysis showed peak troponin I levels at admission, Killip class of heart failure > 2, GC/CC polymorphisms in VEGF-A gene, and dynamic increase of NT-pro brain natriuretic peptide (BNP) and VEGF-A levels for 6 months, which were independent predictors for the combined clinical endpoint. After adjustment for dynamic changes of NT-proBNP and VEGF-A levels, we found that GC/CC polymorphisms in the VEGF-A gene was an independent predictor of clinical outcome. Kaplan-Meier curves demonstrated that STEMI patients with GG VEGF-A genotype had a lower frequency of clinical combined endpoint accumulation when compared to those who had GC/CC VEGF-A genotypes (Log-rank p = 0.02). Conclusion: The G634C polymorphism in the VEGF-A gene was found to be an independent predictor for 6-month clinical combined endpoint in STEMI patients.