Influence factors and risk predictive model of heart failure in patients with acute myocardial infarction after PCI
Xu Haihua
Xu Mingxing
Zhou Yuhe
Xu Yu
Chen Qun
Zhao Yanfang
Abstract：Objective To investigate the influence factors of heart failure(HF)in patients with acute myocardial infarction(AMI)after PCI and risk predictive model.Methods AMI patients(n=180)were chosen from Department of Cardiology,Eastern Theater Command General Hospital from June 2020 to Dec.2022.The patients were divided,according to follow-up results,into HF group(n=56)and non-HF group(n=124).The risk factors of HF after PCI for AMI were analyzed by using multi-factor Logistic regression model,and risk predictive model was analyzed by using ROC curve.Results The results of single-factor analysis showed that the differences in gender,body mass index(BMI),smoking history,drinking history,hypertension,diabetes,myocardial infarction history,stroke history,PCI history,cardiac troponin I(cTnI)and diseases vessels had no statistical significance between 2 groups(P>0.05).The differences in age,systolic blood pressure(SBP),diastolic blood pressure(DBP),heart rate(HR),brain natriuretic peptide(BNP),triglyceride(TG),low-density lipoprotein-cholesterol(LDL-C)and high-density lipoprotein-cholesterol(HDL-C)had statistical significance between 2 groups(P<0.05).The results of multi-factor Logistic regression analysis showed that age,SBP,DBP,HR,BNP,TG,LDL-C and HDL-C were independent risk factors of HF after PCI for AMI(P<0.05).The results of ROC curve analysis showed that AUC of age,SBP,DBP,HR,BNP,TG,LDL-C and HDL-C were,respectively,0.784,0.609,0.686,0.933,0.644,0.814,0.802 and 0.751 and the optimal cutoff values were,respectively,57.56 years old,121.24 mmHg,74.16 mmHg,92.15 time/min,352.58 ng/L,1.92 mmol/L,2.20 mmol/L and 1.18 mmol/L.Conclusion There are many risk factor of HF after PCI for AMI,and the predictive model established by using age,SBP,DBP,HR,BNP,TG,LDL-C and HDL-C has a higher predictive efficacy.
Keywords：Acute myocardial infarctionHeart failureRisk prediction
Publication Date：2024-02-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 205-207,226 )