Background It is still unclear how to exploit information made available by coronary computed tomography angiography (CCTA) on coronary artery disease (CAD) features in order to better predicting major adverse cardiac events (MACEs). Aim of this study was to validate the prognostic role of a comprehensive and simplified CT-derived score in patients evaluated for suspected CAD. Methods A prospective registry included 477 consecutive symptomatic patients without known CAD who underwent clinically-indicated CCTA. All patients were followed-up for MACE occurrence for a period of 49 ± 15-month. Results The mean CT Score was 10.5 ± 10.8, with a MACE rate of 11.3%. There was a stepwise relationship between MACE rate during follow-up and CT Score values. MACEs were 1.9% in patients with CT Score < 10 (reference group), 16.6% in those with CT Score 10-20 (OR 9.9, 95% C.I. 3.5-27.8 vs. reference group, p < 0.001), 24.5% in those with CT Score 21-30 (OR 16.6, 95% C.I. 6.1-45.0 vs. reference group, p < 0.001), and 47.4% in those with CT Score > 30 (OR 46.1, 95% C.I. 13.0-162.9 vs. reference group, p < 0.001) (p for trend < 0.001). At ROC curve analysis, CT Score was the best predictor of MACE (AUC: 0.81, CI 95%: 0.78-0.84) as compared to Diamond and Forrester score (p < 0.001), segment stenosis score (p < 0.05) and segment involved score (p <.0.01). Conclusions The use of an integrated score obtained with CCTA and based on the presence of remodeled and mixed atherosclerotic coronary plaques may improve MACE prediction in symptomatic patients at intermediate risk outweighing that provided by standard clinical and CCTA scores.

Computed tomography, Coronary artery disease, Outcome, Prognosis,
International Journal of Cardiology
Department of Radiology

Guaricci, A.I, Pontone, G, Brunetti, N.D, De Rosa, F, Montrone, D, Guglielmo, M, … Pepi, M. (2016). The presence of remodeled and mixed atherosclerotic plaques at coronary ct angiography predicts major cardiac adverse events - The CAFÉ-PIE Study. International Journal of Cardiology, 215, 325–331. doi:10.1016/j.ijcard.2016.04.129