Table 2 AUC rank of candidate lipid predictors determined by ROC curve
Rank* | Species | Cutoff value | AUC (95% CI) |
|---|---|---|---|
1 | SM(d35:1) | 1,866,710.893 | 0.91 (0.773–1.000) |
2 | Cer(d42:0) | 127,504.392 | 0.90 (0.769–1.000) |
3 | TG(15:0_14:0_14:0) | 3,788,045.717 | 0.90 (0.766–1.000) |
4 | Cer(d18:0_24:0) | 521,665.875 | 0.85 (0.673–1.000) |
5 | PC(18:2_18:2) | 81,938,569.45 | 0.84 (0.654–1.000) |
6 | ChE(24:1) | 52,345.314 | 0.83 (0.650–1.000) |
7 | PC(41:2) | 33,392.237 | 0.83 (0.645–1.000) |
8 | BiotinylPE(30:3) | 6,185,556.894 | 0.83 (0.602–1.000) |
9 | LPC(12:0) | 379,006.021 | 0.79 (0.577–1.000) |
10 | Hex1Cer(t42:1 + O) | 854,682.452 | 0.79 (0.562–1.000) |
11 | MePC(40:8e) | 7,939,029.972 | 0.78 (0.531–1.000) |
12 | ChE(20:1) | 66,948.94 | 0.77 (0.549–0.991) |
13 | MePC(34:6e) | 1,029,943.584 | 0.77 (0.536–1.000) |