Epicardial adipose tissue from computed tomography: a missing link in premature coronary artery disease?

Aims Epicardial adipose tissue (EAT) could contribute to the specific atherosclerosis profile observed in premature coronary artery disease (pCAD) characterized by accelerated plaque burden (calcified and non-calcified), high-risk plaque (HRP) features, and ischaemic recurrence. Our aims were to describe EAT volume and density in pCAD compared with asymptomatic individuals matched on cardiovascular risk factors and to study their relationship with coronary plaque severity extension and vulnerability.Methods and results Two hundred and eight patients who underwent coronary computed tomography angiography were analysed. It included 104 consecutive individuals with pCAD (acute or stable obstructive CAD before the age of 45 years) and 104 controls, matched 1:1 on age, sex, and cardiovascular risk factors. EAT volume, volume index (EATi), and density were measured with a semi-automated artificial-intelligence based segmentation method and CAD-RADS V2.0 determined according to guidelines. EAT volume and density were compared across groups, and associations with plaque burden and characteristics were investigated. EAT volume and EATi were significantly higher in patients with pCAD compared with matched controls (71.5 mL/m(2) [45.7;99.8] vs. 58.5 mL/m(2) [41.3;81.7] P = 0.002), and EAT density was significantly lower in patients with pCAD compared with matched controls (-82 HU [-87; -79] vs. -82 [-85; -78], P = 0.025). EATi was found to be positively correlated with increasing number of plaques, stenosis severity, and HRP features.Conclusion Patients with pCAD had EAT expansion with a higher lipid concentration, compared with controls matched for traditional risk factors. Increased EAT volume and low EAT density were imaging biomarkers related to severe and potentially vulnerable CAD features. Patients with premature coronary artery disease had epicardial adipose fat expansion with a higher lipid concentration, compared with controls matched for traditional risk factors.