Objective To analyze the influential factors of ischemic cardiomyopathy(ICM)after myocardial infarction based on Lasso-Logistic regression,and to investigate the predictive value of clinical factors,nuclear factor κB(NF-κB)/nucleotide-bound oligomuctor-like receptor family 3(NLRP3)and Lasso-Logistic regression model for ICM after myocardial infarction.Methods 342 patients with myocardial infarction admitted to our hospital from September 2020 to September 2023 were selected as the study objects,and were divided into the modeling group(239 cases)and the verification group(103 cases)according to the ratio of 7∶3.The patients were divided into the ICM subgroup and the non-ICM subgroup according to the occurrence of ICM within 6 months after percutaneous coronary intervention(PCI).Lasso was used to screen the variables related to the occurrence of ICM after myocardial infarction,the clinical factor model was constructed with statistically significant variables,the NF-κB/NLRP3 model was constructed with NF-κB/NLRP3,and the mixed model(Lasso-Logistic regression model)was established with the combination of clinical factors and NF-κB/NLRP3.The prediction value of different prediction models for ICM after myocardial infarction was compared.Results The incidence of ICM in the modeling group was 27.97%,and the incidence of ICM in the validation group was 26.47%.Lasso screened out 5 predictive variables as NF-κB mRNA,NLRP3 mRNA,Gensini score,LVEF,and alcohol consumption,and logistic regression analysis showed that Gensini score,NLRP3 mRNA,NF-κB mRNA,and alcohol consumption were the influencing factors of ICM after myocardial infarction(P<0.05).The AUC,sensitivity,and specificity of the mixed model for predicting ICM after myocardial infarction were 0.921,80.30%,and 88.82%,respectively,while those of the clinical factor model were 0.886,78.79%,and 85.29%,and those of the NF-κB/NLRP3 model were 0.873,74.24%,and 87.06%,respectively.The AUC of the mixed model was higher than that of the clinical factor model and NF-κB/NLRP3 model(P<0.05).Conclusion Gensini score,NLRP3 mRNA,NF-κB mRNA,and alcohol consumption are risk factors for ICM after myocardial infarction.A Lasso-Logistic regression model was established using these factors,which has certain predictive power for ICM after myocardial infarction.This model can help clinicians screen high-risk populations early and provide appropriate interventions to reduce the risk of ICM.
维普
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