Value of CT‑derived fractional flow reserve in identifying patients with acute myocardial infarction based on coronary computed tomography angiography

The aim of the present study was to determine whether coronary stenosis and computed tomography-derived fractional flow reserve (CT-FFR), detected by coronary computed tomography angiography (CCTA), can potentially contribute to distinguish acute myocardial infarction (AMI) from unstable angina (UA). The study retrospectively collected data from consecutive patients who were admitted with obstructive coronary artery disease (CAD) and who received CCTA and invasive coronary angiography (ICA) as part of their clinical workup. According to the inclusion criteria, the patients were divided into the AMI group and UA group, and the basic clinical data, CCTA stenosis degree and CT-FFR values were compared between the two groups. Univariate and multivariate logistic regression methods were used to analyze the association between [greater than or equal to] 70% CCTA stenosis, [less than or equal to]0.80 CT-FFR and AMI. A diagnostic model of AMI was established (model 1, [less than or equal to]0.80 CT-FFR; model 2, [greater than or equal to]70% CCTA stenosis; and model 3, [less than or equal to]0.80 CT-FFR combined with [greater than or equal to]70% CCTA stenosis), and the diagnostic efficacy of the three models for AMI was compared. The significance level was set at P0.05). The multivariate CT-derived fractional flow reserve, acute myocardial infarction, unstable angina obstructive, coronary heart disease regression analysis revealed that [less than or equal to]0.80 CT-FFR (HR=28.074; 95% CI: 5.712-137.973; P