Table 3.
Biomarker | AUC | 95 % CI | No of correctly predicted events |
No of correctly predicted nonevents |
No of nonevents predicted as events |
No of events Predicted as nonevents |
Sensitivity | Specificity | PPV | NPV |
---|---|---|---|---|---|---|---|---|---|---|
IL8 | 0.7039 | 0.6332–0.7746 | 151 | 43 | 24 | 60 | 0.716 | 0.642 | 0.863 | 0.417 |
MMP9 | 0.6315 | 0.5541–0.7090 | 104 | 51 | 16 | 107 | 0.493 | 0.761 | 0.867 | 0.323 |
SERPINA1 | 0.8027 | 0.7432–0.8622 | 163 | 49 | 18 | 48 | 0.773 | 0.731 | 0.901 | 0.505 |
ANG | 0.7835 | 0.7241–0.8430 | 155 | 49 | 18 | 56 | 0.735 | 0.731 | 0.896 | 0.467 |
VEGFA | 0.6488 | 0.5774–0.7202 | 89 | 54 | 13 | 122 | 0.422 | 0.806 | 0.873 | 0.307 |
CA9 | 0.7202 | 0.6550–0.7855 | 100 | 59 | 8 | 111 | 0.474 | 0.881 | 0.926 | 0.347 |
MMP10 | 0.6214 | 0.5433–0.6996 | 175 | 29 | 38 | 36 | 0.829 | 0.433 | 0.822 | 0.446 |
APOE | 0.6298 | 0.5614–0.6983 | 83 | 63 | 4 | 128 | 0.393 | 0.940 | 0.954 | 0.330 |
SERPINE1 | 0.7989 | 0.7406–0.8571 | 141 | 54 | 13 | 70 | 0.668 | 0.806 | 0.916 | 0.435 |
SDC1 | 0.8161 | 0.7602–0.8719 | 145 | 58 | 9 | 66 | 0.687 | 0.866 | 0.942 | 0.468 |
10-Biomarker combination | 0.8925 | 0.8507–0.9343 | 179 | 54 | 13 | 32 | 0.848 | 0.806 | 0.932 | 0.628 |
AUC area under the curve, CI confidence interval, PPV positive predictive value, NPV negative predictive value