Predictors and Prognostic Value of Coronary Computed Tomography Angiography for Unrecognized Myocardial Infarction in Patients with Chronic Coronary Syndrome

Background Unrecognized myocardial infarction (UMI) on delayed-enhancement cardiac magnetic resonance imaging (DE-CMR) and coronary computed tomography angiography (CCTA) derived high-risk features provide prognostic information in patients with chronic coronary syndrome (CCS). The study aimed to assess the prognostic value of UMI and predictors of UMI using CCTA in patients with CCS undergoing elective percutaneous coronary intervention (PCI). Methods This study enrolled 181 CCS patients underwent both DE-CMR and CCTA before elective PCI. The CCTA-derived predictors of UMI and the association of baseline clinical characteristics, CCTA findings, and CMR-derived factors including UMI with MACE, defined as death, nonfatal myocardial infarction, unplanned late revascularization, hospitalization for congestive heart failure, and stroke were investigated. Results UMI was detected in 57 patients (31.5%). ROC analysis revealed the optimal cut-off values of Agatston score and mean pericoronary fat attenuation index (FAI) for predicting the presence of UMI were 397 and -69.8, respectively. Multivariable logistic regression analysis revealed that left ventricular mass, Agatston score >397, mean FAI >-69.8, positive remodeling of the target lesion, and CCTA-derived stenosis severity were independent predictors of UMI. Kaplan-Meier analysis revealed that patients with UMI were associated with increased risk of MACE. Cox’s proportional hazards analysis showed post-PCI minimum lumen diameter and the presence of UMI were independent predictors of MACE. The risk of MACE significantly increased according to the number of 4 preprocedural CCTA relevant features of UMI. Conclusion Preprocedural comprehensive CCTA analysis may help predict the presence of UMI and provide prognostic information in patients with CCS undergoing PCI.