Table 5.

Logistic regression analysis of risk factors for ACS and SCAD

	Preβ1-HDL		CETP
	OR(95%CI)	P value	OR(95%CI)	P value
Univariate analysesa,b
Model1
ACS	1.161 (1.107–1.219)	<0.001	3.055 (2.158–4.326)	<0.001
SCAD	1.142 (1.089–1.198)	<0.001	1.623 (1.188–2.217)	0.002
Model2
ACS	1.017 (1.003–1.031)	0.016	1.931 (1.456–2.563)	<0.001
Multivariate analysesa,c
Model1
ACS	1.236 (1.118–1.366)	<0.001	3.077 (1.765–5.364)	<0.001
SCAD	1.207 (1.094–1.332)	<0.001	1.866 (1.105–3.152)	0.02
Model2
ACS	1.024 (1.002–1.046)	0.031	1.682 (1.221–2.318)	0.001

Model¹ : the reference category was the control group

Model² : the reference category was the SCAD group

^aIn univariate and multivariate logistic regression analyses, the ACS, SCAD or control group was treated as a dependent three-category variable and the OR was considered statistically significant when the lower limit of the 95% CI was > 1.0 and the P-value was < 0.05

^bOnly one of Preβ1-HDL, CETP was included in the univariate analyses

^cThe age, gender and coexisting conditions were adjusted in the multivariate analyses