Table 2.

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.