<p>ROC curves are shown according to the predictors and outcomes: (A) ROC curve for predicting interstitial fibrosis based on serum klotho, (B) ROC curve for predicting segmental sclerosis based on serum klotho, and (C) ROC curve for predicting foot process effacement based on the urinary klotho-to-creatinine ratio. Best cut-off values were presented as black circles and certain values (with specificity and sensitivity). AUC, area under the ROC curve; UKCR, urinary klotho-to-creatinine ratio.</p
<p>Severe AKI is defined as the receipt of acute dialysis or increased serum creatinine ≥354 µmol/L....
The AUC of uNGAL (solid line) was 0.99 (p < 0.0001). The AUC of proteinuria, eGFR and serum creatini...
(A) ROC curve when staining intensity in adipose tissue was applied to predict tumor grade (OR = 1.0...
<p>ROC: receiver operating characteristic curve; AUC: area under curve. A. ROC for renal outcome in ...
<p>ROC curves for the sum of the signal intensities of hydroxyacetone, hydroxy-2-butanone, ammonia, ...
<p>Receiver Operator Characteristics (ROC) curve for sensitivity/specificity in renal flare predicti...
<p>(A) This figure displays the receiver operating characteristic (ROC) curves for the 4 h value of ...
Area under the curve (AUC) and 95% confidence intervals (CI) for Models 1 (AUC 0.933, 95% CI 0.889–0...
<p>The area under the curve was 0.63 (95% confidence interval = 0.61–0.64, p<0.001), and the cut-off...
<p>Receiver operating characteristic (ROC) curves of RPR, APRI, AAR, FIB-4 and the models in the pre...
<p>Receiver operating characteristic (ROC) analysis of urine sEPCR concentration for the prediction ...
<p>Receiver operating characteristic (ROC) curve for the predictive model (risk score equation) for ...
<p>Serum albumin levels below 3.6 g/dL predicted adverse renal outcome with a 59.4% sensitivity and ...
<p>AUC, area under the ROC curves; CRP, C-reactive protein; DNI, delta neutrophil index; PCT, procal...
<p>Receiver operating characteristic (ROC) curves, areas under the curve (AUROC), and cut-off values...
<p>Severe AKI is defined as the receipt of acute dialysis or increased serum creatinine ≥354 µmol/L....
The AUC of uNGAL (solid line) was 0.99 (p < 0.0001). The AUC of proteinuria, eGFR and serum creatini...
(A) ROC curve when staining intensity in adipose tissue was applied to predict tumor grade (OR = 1.0...
<p>ROC: receiver operating characteristic curve; AUC: area under curve. A. ROC for renal outcome in ...
<p>ROC curves for the sum of the signal intensities of hydroxyacetone, hydroxy-2-butanone, ammonia, ...
<p>Receiver Operator Characteristics (ROC) curve for sensitivity/specificity in renal flare predicti...
<p>(A) This figure displays the receiver operating characteristic (ROC) curves for the 4 h value of ...
Area under the curve (AUC) and 95% confidence intervals (CI) for Models 1 (AUC 0.933, 95% CI 0.889–0...
<p>The area under the curve was 0.63 (95% confidence interval = 0.61–0.64, p<0.001), and the cut-off...
<p>Receiver operating characteristic (ROC) curves of RPR, APRI, AAR, FIB-4 and the models in the pre...
<p>Receiver operating characteristic (ROC) analysis of urine sEPCR concentration for the prediction ...
<p>Receiver operating characteristic (ROC) curve for the predictive model (risk score equation) for ...
<p>Serum albumin levels below 3.6 g/dL predicted adverse renal outcome with a 59.4% sensitivity and ...
<p>AUC, area under the ROC curves; CRP, C-reactive protein; DNI, delta neutrophil index; PCT, procal...
<p>Receiver operating characteristic (ROC) curves, areas under the curve (AUROC), and cut-off values...
<p>Severe AKI is defined as the receipt of acute dialysis or increased serum creatinine ≥354 µmol/L....
The AUC of uNGAL (solid line) was 0.99 (p < 0.0001). The AUC of proteinuria, eGFR and serum creatini...
(A) ROC curve when staining intensity in adipose tissue was applied to predict tumor grade (OR = 1.0...