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 58 patients diagnosed with AMI and successfully underwent PCI within 72 hours were selected. According to whether they developed heart failure within one week after surgery, they were divided into a post myocardial infarction heart failure (AMI-HF) group of 24 cases and a post myocardial infarction heart failure (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. Compare 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, and use Pearson correlation analysis to investigate the relationship between sST2, Galectin-3, and BNP levels in patients with acute myocardial infarction and heart failure (AMI-HF).Use binary logistic regression 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 indicate that sST2 and Galectin-3 are 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 heart failure after acute myocardial infarction (AMI), which has good predictive value and provide a useful reference for clinical practice.
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