Quantification of epicardial fat: Which method can predict significant coronary artery disease?

Table 1 General characteristics of the patients among the three groups (total number of patients 170) n (%)

	Group 1 n = 58	Group 2 n = 48	Group 3 n = 64	P
Age	48.5 (40.3-50.0)	56 (48.5-64.5)	55 (50-62)	0.004
Male	21 (36.2)	32 (57.1)	32 (50)	0.008
Hypertension	24 (41.4)	29 (60.4)	37 (57.8)	0.090
Diabetes mellitus	23 (39.7)	34 (70.8)	43 (67.2)	0.001
Smoking	5 (8.6)	4 (8.3)	14 (21.8)	0.065
Familial history	7 (12.1)	2 (4.2)	6 (9.4)	0.351
BMI	28.4 (25.9-33.9)	29.5 (25.9-33.1)	31.6 (29.3-33.1)	0.007
BSA	1.80 (1.74-1.88)	1.85 (1.78-1.94)	1.88 (1.81-1.95)	0.093

BMI: Body mass index; BSA: Body surface area.

Table 2 Comparison of three parameters for measuring the epicardial fat with computed tomography coronary angiography results

	Group 1	Group 2	Group 3	P
EFV (cm3)	81 (59.4-124)	104 (83.5-126)	113 (92-138)	0.004
EFVBMI (cm3/m2)	2.7 (1.9-3.9)	3.7 (2.5-4.3)	3.8 (3.0-4.6)	0.014
EFVBSA [cm3/(kg/m2)]	45.6 (35.3-66.9)	53.9 (44.4-68.6)	61.8 (48.1-75.4)	0.011

EFV: Epicardial fat volume; EFVBMI: EFV indexed with body mass index; EFVBSA: EFV indexed with body surface area.