A prediction model for in-hospital heart failure in patients with myocardial infarction after drug-eluting stent implantation

Liu Yan; Chen Yao; Sun Aijiao; Huang Jingjing; Yu Ziqi

doi:10.3969/j.issn.1674-4055.2025.01.23

Abstract：Objective To discuss the risk factors for in-hospital heart failure(HF)in patients with acute myocardial infarction(AMI)after implantation of drug-eluting stent(DES),and establish a nomogram model.Methods AMI patients(n=106)undergone DES implantation were retrospectively analyzed in Anqing Municipal Hospital of Anhui Province from Jan.2021 to June 2022.The clinical materials were collected from patients.All patients were divided,according to whether HF occurrence or not,into HF group(n=39)and non-HF group(n=67).The risk factors for in-hospital HF were screened by using multi-factor Logistic regression analysis.A nomogram model of AMI complicated by postoperative in-hospital HF was established by using R language,and predictive efficacy of the model was verified by using Bootstrap method.Results The comparison in age,complicated hypertension,complicated diabetes,AMI history,Gensini grades and number of diseased vessels had statistical differences between 2 groups(P＜0.05).The results of multi-factor Logistic regression analysis showed that age≥60,complicated hypertension,complicated diabetes,AMI history,grades III and IV of Gensini grades,and multiple diseased vessels were risk factors for AMI complicated by postoperative in-hospital HF(P＜0.05).The C-index of nomogram model was 0.869,predicted value of correction curve was basically consistent with actual value,and ROC value was 0.847 verified by the model internally.When the threshold probability of decision curve was 41%-100%,the net benefit value was higher in predicting AMI complicated by postoperative in-hospital HF,which indicated that nomogram model had a higher risk predictive efficiency.Conclusion age,complicated hypertension,complicated diabetes,AMI history,Gensini grades and number of diseased vessels were influence factors in patients with AMI complicated by postoperative in-hospital HF.