Table 4. Multivariate logistic regression analysis of coronary slow flow risk with non-traditional lipid profiles.

Variables	Model 1		Model 2
	OR (95% CI)	p	OR (95% CI)	p
NHHR	1.058 (1.040-1.076)	< 0.001	1.054 (1.037-1.071)	< 0.001
Non-HDL-C	0.968 (0.949-0.989)	0.002	0.984 (0.972-0.997)	0.015
AIP	1.040 (1.018-1.063)	< 0.001	1.049 (1.025-1.074)	< 0.001
LCI	1.035 (0.935-1.146)	0.502	-	-
CRI-I	1.511 (0.929-2.456)	0.096	-	-
CRI-II	1.074 (1.386-2.102)	< 0.001	1.157 (1.061-1.458)	< 0.001

Odds ratio (OR) and 95% confidence intervals (CI) were obtained by the multivariate logistic regression model: Model 1: After adjustment the gender, body mass index, dyslipidemia, diabetes mellitus and smoking; Model 2: Model 1 + further adjusted for fasting plasma glucose, uric acid, albumin and CRP.

AIP, atherogenic index of plasma; CRI-I, Castelli’s risk index-I; CRI-II, Castelli’s risk index-II; HDL-C, high-density lipoprotein cholesterol; LCI, lipoprotein combined index; NHHR, non-HDL-C/HDL-C ratio.