Abstract:
Objective To investigate the predictive value of serum soluble growth stimulating gene 2 protein (sST2) and Galectin-3 for heart failure (HF) after percutaneous coronary intervention (PCI) in acute myocardial infarction (AMI).
Method A total of 58 patients diagnosed with AMI and successfully underwent PCI within 72 hours were selected. According to whether they developed HF within one week after surgery, they were divided into a post myocardial infarction HF (AMI-HF) group of 24 cases and a post myocardial infarction without HF (AMI) group of 34 cases. At the same time, 25 subjects who tested negative for coronary angiography during hospitalization were selected as the control group, and serum sST2 and Galectin-3 levels were measured in each group. The general clinical data, ventricular remodeling indicators, brain natriuretic peptide (BNP), creatine kinase-MB (CK-MB), sST2, and Galectin-3 levels among the three groups were compared, and Pearson correlation analysis was used to investigate the relationship between sST2, Galectin-3, and BNP levels in patients in the AMI-HF group. Binary logistic regression was used to gradually analyze independent risk factors for HF after AMI. Using ROC curve analysis to assess the predictive value of serum sST2 and Galectin-3 levels for HF in patients with AMI.
Result The differences in serum sST2 and Galectin-3 levels among the three groups were statistically significant (P < 0.01). The serum levels of sST2 and Galectin-3 in the AMI-HF group were positively correlated with BNP (r = 0.644, r = 0.774, P < 0.01). The logistic analysis results indicated that sST2 and Galectin-3 were independent predictive factors for HF after AMI (OR = 1.469, 95%CI: 1.067–2.023, P < 0.05; OR = 1.540, 95%CI: 1.059–2.238, P < 0.05). The ROC analysis results showed that the combined prediction of serum sST2 and Galectin-3 was more effective in predicting HF after AMI compared to a single indicator.
Conclusions Serum sST2 and Galectin-3 levels are independent risk factors for HF after AMI, which has good predictive value.