Table 4.

The AUC, 95% confidence intervals (95% CI), and sensitivity and specificity for ROC curves calculated at the optimal cutoff, together with the p-values for 16 significant lipidomic metabolites

No.	Significant Metabolites	AUC	95% CI	Sensitivity	Specificity	Cutoff value	p value
1	lysoPC 16:0	0.9	0.782–0.986	0.9	0.8	1.22 e + 07	0.000
2	lysoPC 20:0	0.895	0.731–0.986	0.9	0.9	4.35 e + 07	0.000
3	Acylcarnitine 21:4	0.888	0.746–0.978	0.8	0.8	1.35 e + 08	0.000
4	Cer_NS 34:1	0.88	0.721–0.965	0.8	0.8	1.97 e + 06	0.000
5	lysoPE 24:0	0.86	0.695–0.96	0.8	0.8	7.13 e + 06	0.000
6	lysoPC 14:0	0.86	0.718–0.949	0.9	0.7	3.56 e + 08	0.000
7	Acylcarnitine 26:0	0.85	0.71–0.954	0.8	0.9	3.84 e + 07	0.000
8	lysoPC 24:0	0.85	0.685–0.976	0.8	0.9	7.27 e + 06	0.000
9	lysoPE 18:2	0.845	0.69–0.958	0.9	0.8	1.18e + 08	0.000
10	lysoPE 18:1	0.835	0.691–0.945	0.8	0.7	4.48 e + 07	0.000
11	lysoPC 22:0	0.83	0.686–0.95	0.8	0.8	1.35 e + 07	0.000
12	lysoPC 15:0	0.828	0.655–0.949	0.8	0.8	3.27 e + 06	0.000
13	Cer_NS 36:2	0.82	0.672–0.941	0.8	0.8	6.36 e + 06	0.000
14	Acylcarnitine 15: 3	0.82	0.674–0.951	0.8	0.8	7.42 e + 06	0.005
15	Acylcarnitine 20: 0	0.805	0.635–0.942	0.8	0.8	6.39 e + 06	0.000
16	lysoPC 22:5	0.802	0.638–0.929	0.8	0.8	1.5 e + 08	0.001