Construction of prediction model of heart failure one year after percutaneous coronary intervention for acute coronary syndrome
Objective To explore the construction and prediction effect of random forest and logistic regression model for heart failure one year after percutaneous coronary intervention(PCI)for acute coronary syndrome(ACS).Method 208 patients who underwent PCI in the First Affiliated Hospital of Harbin Medical University from June 2021 to June 2022 were taken as the research object.They were divided into heart failure group(n=31)and control group(n=177)according to whether heart failure occurred one year after PCI.The influencing factors of heart failure in ACS patients one year after PCI were analyzed by using random forest and logistic regression algorithm,and the predictive performance was evaluated by using the area under the operating characteristic(ROC)curve(AUC).Result Among the 208 patients,there were 31 patients with heart failure(14.90%).There was no significant difference in AUC between logistic regression and random forest in predicting the occurrence of heart failure in ACS patients one year after PCI.Conclusion The prediction model based on the risk factors of heart failure in ACS patients one year after PCI can directly predict the probability of heart failure in ACS patients one year after PCI.
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