Table 4.

Binary logistics regression analysis of possible predictors of coronary artery ectasia. Effects of different variables on CAE were calculated using binary logistics regression

	Binary logistics regression analysis
Variable	OR	95% CI	P
Age	1.17	(0.98–1.39)	0.09
Gender	1.42	(0.13–15.4)	0.77
Hypertension	0.37	(0.04–3.46)	0.38
Diabetes mellitus	0.51	(0.05–5.23)	0.57
Family history of CAD	0.68	(0.05–8.88)	0.77
Current smoking	0.21	(0.02–2.51)	0.22
Body mass index	1.09	(0.88–1.34)	0.43
SBP	1.01	(0.96–1.05)	0.73
DBP	0.94	(0.86–1.03)	0.19
LDL level	1.02	(1–1.04)	0.07
HDL level	1.02	(0.98–1.06)	0.23
NO level	0.88	(0.82–0.93)	0.001

CAD - coronary artery disease; DBP - diastolic blood pressure; HDL - high-density lipoprotein; LDL - low-density lipoprotein; NO - nitric oxide; SBP - systolic blood pressure