Table 2. Simple logistic regression analysis with CAD.

Variable	β	Standard error	Wald χ2	P value	OR	95% CI
Age	0.0128	0.0135	0.8985	0.3432	1.013	0.986–1.040
Sex	0.2566	0.3567	0.5173	0.4720	1.292	0.642–2.601
BMI	−0.0319	0.0479	0.4436	0.5054	0.969	0.882–1.064
Smoking	−0.6199	0.3528	3.0866	0.0789	0.538	0.269–1.074
Family history	0.2175	0.4168	0.2723	0.6018	1.243	0.549–2.814
SBPc	0.0419	0.0096	19.1519	<0.0001	1.043	1.023–1.063
DBPb	0.0317	0.0131	5.8495	0.0156	1.032	1.006–1.059
FGc	0.9294	0.2077	20.0243	<0.0001	2.533	1.686–3.806
TCc	0.8003	0.1780	20.2149	<0.0001	2.226	1.571–3.156
LDL-Cc	0.9918	0.2350	17.8124	<0.0001	2.696	1.701–4.274
HDL-Cc	−3.6301	0.6545	30.7629	<0.0001	0.027	0.007–0.096
TG	−0.0172	0.0841	0.0418	0.8380	0.983	0.834–1.159
Uric acid	0.0007	0.0015	0.2319	0.6301	1.001	0.998–1.004
Creatinine	0.0017	0.0044	0.1514	0.6972	1.002	0.993–1.010
Omentin-1c	−0.0330	0.0051	41.7697	<0.0001	0.968	0.958–0.977
IL-6c	0.2088	0.0437	22.8128	<0.0001	1.232	1.131–1.342

^bP<0.05, ^cP<0.01 with logistic regression analysis.

CAD, coronary artery disease; OR, odds ratio; CI, confidence interval; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; FG, fasting glucose; TC, total cholesterol; LDL-C, low density lipoprotein cholesterol; HDL-C, high density lipoprotein cholesterol; TG, triglycerides; IL-6, interleukin-6.