Risk factors for adverse cardiovascular events within one year after PCI treatment in patients with acute myocardial infarction and their predictive efficacy
Objective To explore the risk factors for major cardiovascular adverse events(MACE)within one year after percutaneous coronary intervention(PCI)in patients with acute myocardial infarction(AMI)and their predictive effi-cacy.Methods Totally 100 AMI patients underwent PCI,and were divided into the MACE(+)group(14 cases)and MACE(-)group(86 cases)based on the occurrence of MACE within one year after treatment.Univariate analysis and multivariate Cox regression analysis were used to analyze the influencing factors and risk factors for MACE in AMI patients after PCI,and the predictive ability of risk factors was evaluated through receiver operating characteristic(ROC)curve and Kaplan-Meier survival curve.Results Univariate analysis showed that significant differences were found in the pro-portion of two non-classical monocyte subpopulations(NCM),Genisi score,SYNTAX score,and LVESD between these two groups(all P<0.05).Multivariate analysis showed that the proportion of NCM and Genisi score were independent risk factors for MACE in AMI patients after PCI(both P<0.05).The ROC curve showed that when the proportion of NCM was 9.090%,the approximate index was 0.756,with a sensitivity of 100%and a specificity of 76.5%in predicting MACE of AMI patients after PCI.The area under the ROC curve was 0.880,95%CI was 0.812 to 0.947,and P<0.05.The Ka-plan-Meier survival curve showed that AMI patients were stratified into the low-risk patients(NCM proportion≥9.090%)and high-risk patients(NCM proportion<9.090%)based on the optimal cut-off value of NCM proportion at 9.090%.Conclusion The risk factor for MACE in AMI patients after PCI within one year is the proportion of NCM,and detecting this indicator helps predict postoperative MACE in AMI patients.