Detective characteristics of the two biomarkers for AKI
| Logistic regression models | AUC-ROC* (95% CI) | Cut-off† | Sensitivity | Specificity | (+) LR | (−) LR | PPV | NPV |
| sCysC | 0.766 (0.741 to 0.789) | 1.02 mg/L | 0.66 | 0.80 | 3.28 | 0.43 | 0.47 | 0.90 |
| NT-proBNP | 0.821 (0.799 to 0.842) ‡ | 204.00 pg/mL | 0.78 | 0.75 | 3.12 | 0.29 | 0.45 | 0.93 |
| NT-proBNP+sCysC | 0.832 (0.809 to 0.852) § | 0.15¶ | 0.84 | 0.69 | 2.69 | 0.23 | 0.42 | 0.94 |
*Values are presented as AUC-ROC (95% CI).
†Ideal cut-off value according to Youden’s index.
‡P<0.05 vs sCysC (p=0.0011).
§P<0.05 vs NT-proBNP (p=0.0145), sCysC(p<0.0001).
¶Cut-off points of the biomarker panels were the predicted probabilities generated from the multiple logistic regression model.
AKI, acute kidney injury; AUC-ROC, area under the receiver operating characteristic curve; (+) LR, positive likelihood ratio; (-) LR, negative likelihood ratio; NPV, negative predictive value; NT-proBNP, N-terminal pro-B-type natriuretic peptide; PPV, positive predictive value; sCysC, serum cystatin C.