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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

From: Lipidomic analysis of serum samples from migraine patients

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