Table 2. Multivariate logistic regression analysis of detecting independent factors for high GS ( > 47-point).

Variables	Model 1				Model 2
	OR		95% CI	P value	OR	95% CI	P-value
LDL-C	1.01		1.00–1.02	0.004	1.01	1.00–1.02	0.048
Non-HDL-C	8.40		1.51–46.8	0.014	5.42	0.57–51.59	0.142
ApoB	1.01		1.00–1.02	0.002	1.01	1.00–1.02	0.091
Lipoprotein (A)	2.06		1.23–3.47	0.006	1.65	1.04–3.03	0.045
TC/HDL-C	1.32		1.08–1.62	0.008	1.42	0.72–2.80	0.310
LDL-C/HDL-C	1.57		1.19–2.06	0.001	1.43	1.03–1.98	0.033
ApoB/HDL-C	1.62		1.21–2.15	0.001	1.36	0.98–1.91	0.069
Non-HDL-C/ApoA-1	3.35		1.49–7.51	0.003	3.42	1.21–9.67	0.021
LDL-C/ApoA-1	5.41		1.98–14.81	0.001	4.65	1.35–15.97	0.015
ApoB/ApoA-1	10.33		3.04–35.14	0.000	5.67	1.45–23.92	0.018

Abnormal distribution data were analyzed after logarithmic transforming. Model 1: adjusted for gender, age, current smoking, hypertension, hyperlipidemia, family history of CAD; Model 2: as in model 1 further adjusted for LVEF, HbA1C, duration of diabetes, and statin therapy (before hospitalization). ApoA-1: apolipoprotein A-1; ApoB: apolipoprotein B; CAD: coronary artery disease; GS: Gensini score; HbA1C: glycosylated hemoglobinA1C; HDL-C: high density lipoprotein cholesterol; LDL-C: low density lipoprotein cholesterol; LVEF: left ventricular ejection fraction; TC: total cholesterol.