Objective:To investigate the clinical value of pericoronary fat attenuation index(FAI),non-invasive fractional flow reserve(FFRCT)and coronary CT angiography(CCTA)plaque characteristics in predicting the occurrence of acute coronary syndrome(ACS)within 5 years.Methods:ACS patients(n=46)who underwent CCTA examination 2 months to 5 years before the oc-currence of ACS were retrospectively included,and patients who underwent CCTA examination in the same period were selected as the control group(n=55).Clinical data and imaging parameters of the two groups were compared,and the predictive value of related parameters on ACS was analyzed at the vascular level,and a Logistic regression prediction model was established.Results:In ACS group(n=60),proximal FAI,lipid plaque volume and stenosis rate were significantly higher than those in control group,The incidences of spotty calcification and positive FFRCT were higher in ACS group than in con-trol group(all P＜0.05).Univariate and multivariate analysis showed that proximal FAI,stenosis rate,spotty calcification,lipid plaque volume and positive FFRCT were independent risk factors for pre-dicting ACS.Compared with other models,the combined model combining with plaque characteristics,proximal FAI and positive FFRCT had the highest prediction efficiency(AUC=0.87,P＜0.05).Con-clusion:The combination of plaque characteristics,FFRCT and FAI can effectively improve the predic-tive ability of future ACS,which is helpful to guide the risk stratification and clinical decision-making of patients.
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