Expression and predictive value of HIF-1α and VEGF in patients with burns following treatment.

Abstract

The present study aimed to investigate the expression and predictive value of serum hypoxia-inducible factor-1α (HIF-1α) and vascular endothelial growth factor (VEGF) in patients with burns following treatment. A total of 84 patients with burns treated in Jinan City People's Hospital (Jinan, China) between June 2015 and August 2017 were selected and their clinical information was collected. The expression levels of HIF-1α and VEGF before and after treatment were detected via ELISA, and HIF-1α and VEGF levels in patients with effective and ineffective treatment were compared. The predictive values of HIF-1α and VEGF in clinical efficacy were determined using receiver operating characteristic (ROC) curves, and independent risk factors affecting treatment inefficacy were analyzed via multivariate logistic regression. It was revealed that HIF-1α decreased significantly (P<0.05) while VEGF significantly increased in patients after treatment. Patients with effective treatment presented significantly lower HIF-1α levels and higher VEGF levels compared with those with ineffective treatment. The ROC curve indicated that the area under the curve (AUC) of HIF-1α for treatment efficacy was 0.795, the 95% CI was 0.666-0.924, the specificity and sensitivity were 68.75 and 80.88%, respectively, and the Youden index was 49.63%. For VEGF, the AUC, 95% CI, specificity, sensitivity and Youden index were 0.826, 0.725-0.928, 68.75, 82.35 and 51.10% respectively. Moreover, under the joint detection of HIF-1α and VEGF, the AUC was 0.847, 95% CI was 0.746-0.947, specificity and sensitivity were 87.50 and 66.18%, respectively, with a Youden index of 53.68%. Multivariate analysis demonstrated that higher HIF-1α level, lower VEGF level and higher burn degree before treatment were independent risk factors for treatment inefficacy. HIF-1α levels decreased and VEGF levels increased in burn patients after treatment. HIF-1α and VEGF before treatment may therefore serve as predictors for treatment efficacy.