Objective To explore the analysis of the relationship of the serum levels of focal adhe-sion kinase(FAK)and fatty acid-binding protein 4(FABP4)with myocardial injury and cardiac function in elderly patients with acute myocardial infarction(AMI).Methods A total of 211 AMI patients admitted to our hospital from January 2020 to April 2023 were enrolled and assigned into the AMI group,while another 60 healthy volunteers who took routine physical examinations in our hospital during the same period served as the control group.The serum FAK and FABP4 lev-els were compared between the two groups.Multivariate logistic regression analysis was employed to identify influencing factors associated with AMI,and ROC curve was plotted to assess the pre-dictive efficacy of the serum FAK and FABP4 levels for AMI in the elderly population.Pearson correlation analysis was conducted to explore the relationship between serum FAK and FABP4 levels and myocardial injury as well as cardiac function.Results The AMI group exhibited signifi-cantly elevated serum FAK,FABP4,CK-MB,cTnⅠ and CK levels,and larger LVESD and LVEDD,but lower LVEF when compared with the control group(P＜0.05,P＜0.01).For the AMI patients,the serum FAK and FABP4 levels were positively correlated with CK-MB,cTnⅠ and CK levels,as well as LVESD and LVEDD,and negatively with LVEF(P＜0.05).Multivariate logistic regression analysis revealed that both serum levels of FAK(OR=2.872,95％CI:2.230-3.698,P=0.000)and FABP4(OR=2.667,95％CI:1.713-4.154,P=0.000)were influencing factors for AMI.ROC analysis indicated that the cut-off value of FAK level for diagnosing AMI was 25.60 pg/L,with an AUC value of 0.801(95％CI:0.750-0.852).Similarly,the cut-off value of FABP4 in the diagnosis was 23.22 pg/L,with an AUC value of 0.760(95％CI:0.707-0.812).Combined FAK and FABP4 levels yielded,with an AUC value of 0.899(95％CI:0.839-0.918).Conclusion Serum FAK and FABP4 levels are abnormally high in the elderly patients with AMI,which is closely related to myocardial injury and cardiac function.The two indicators alone or in combination can effectively predict the occurrence of AMI.