Table 3.

OR, p-value, AUC, cut-off, sensitivity and specificity for each logistic regression model created. * BAs are logarithmically transformed.

BA *	OR (95% CI)	p-Value	Cut-Off	Sensitivity-Specificity	AUC (95% CI)
β-MUCA	3.67 (0.85–15.84)	0.082	−4.60	75–62.5%	0.73 (0.56–0.90)
3-oxo-LCA	0.15 (0.03–0.71)	0.017	1.03	81–69%	0.74 (0.56–0.91)
3,12-dioxo-DCA	0.04 (0.004–0.384)	0.005	1.73	93.75–62.50%	0.78 (0.62–0.95)
CA	3.86 (0.9–17)	0.078	2.16	75–56.25%	0.72 (0.54–0.90)
Primary BAs	2.83 (0.67- 12)	0.159	2.16	75–56.25%	0.72 (0.54–0.90)