The predictive value of Lp(a)and CHR for short-term prognosis in patients with acute myocardial infarction
Objective:To investigate the predictive value of serum lipoprotein (a)[Lp(a)]and high-sensitivity C-reactive protein/high-density lipoprotein ratio (CHR)for short-term prognosis in patients with acute myocardial infarction (AMI).Methods:A total of 251 patients with AMI who underwent percutaneous coronary intervention in the Department of Cardiology of Baotou Central Hospi-tal from July 2021 to July 2022 were selected for retrospective analysis.The general data,laboratory indexes,killip classification,ejection fraction (EF value)and coronary angiography results of the en-rolled patients were collected.The CHR value and Gensini score were calculated according to the labo-ratory indexes and coronary angiography results.According to whether major adverse cardiovascular e-vents (MACE )occurred during hospitalization of AMI patients,they were divided into observation group and control group.The differences of general data and laboratory indexes between the two groups were compared.Univariate and multivariate logistic regression were used to analyze the influencing fac-tors of MACE in AMI patients during hospitalization.The receiver operating characteristic (ROC ) curve was used to analyze the predictive value of Lp(a),CHR and Lp(a)combined detection of CHR for MACE.Results:The Lp(a),CHR,killip grade≥Ⅱ and Gensini score in the observation group were higher than those in the control group, and the differences were statistically significant (P＜0.05).Lp (a)and CHR were independent risk factors for MACE in patients with AMI during hospitalization.ROC curve showed that the combined detection of Lp(a),CHR and Lp(a)CHR had predictive value for MACE in AMI patients during hospitalization,and the combined detection value was higher.Conclusion:Lp(a)and CHR are independent risk factors for MACE in AMI patients dur-ing hospitalization.Combined detection of Lp(a)and CHR is helpful to evaluate the short-term prog-nosis of AMI patients.
万方数据
维普
