Establishment of a Predictive Model for Postoperative Survival in Elderly Patients with Acute Myocardial Infarction Based on Serum ADAMTS13,miR-150 and miR-375
Objective To investigate the value of serum ADAMTS13,miR-150 and miR-375 in predicting postoperative survival in elderly patients with acute myocardial infarction(AMI).Methods A total of 342 elderly patients with AMI in our hospital from March 2019 to March 2021 were selected,and all underwent percutaneous coronary intervention(PCI).General information,serum ADAMTS13,miR-150,miR-375 were recorded.COX regression equation were used to analyze the influencing factors of postoperative survival in elderly patients with AMI,and a nomogram model was drawn.Kaplan-Meier curves were used to analyze the survival status of different serum indexes.Results Serum ADAMTS13 levels were lower in the death group than in the survival group,and miR-150 and miR-375 levels and the proportion of NYHA classification and number of coronary artery lesions were higher than in the survival group(all P＜0.05).ADAMTS13,miR-150 and miR-375 were the influencing factors of postoperative survival in elderly patients with AMI(all P＜0.05).According to the above factors,the C-index of the mortality risk nomogram model after AMI was 0.865,and its predictive sensitivity and specificity were 90.87％and 62.86％,respectively.Decision curves found that the combined serum ADAMTS13,miR-150,miR-375 prediction model outperformed ADAMTS13,miR-150,miR-375 alone.The survival rate of patients with high ADAMTS13 expression was higher than that of patients with high ADAMTS13 expression.In patients with low expression,the survival rate of patients with low expression of miR-150 and miR-375 was higher than that of patients with high expression(all P＜0.05).Conclusion Based on serum ADAMTS13,miR-150,and miR-375,the establishment of a postoperative mortality prediction model for elderly patients with AMI has good predictive performance,which can guide clinicians to determine reasonable treatment methods and reduce the risk of death.
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