<p>AUC area under curve by Hanley method to calculate standard errors, CI 95% confidential intervals, Sn/Sp sensitivity/specificity, APACHE acute physiology and chronic health evaluation, SOFA sequential organ failure assessment, SAPS II simplified acute physiology score II.</p>*<p>For the severity scores, higher values are predictors of mortality; but for the C3 levels, lower values are predictors of mortality.</p
<p>SOFA indicates Sequential (Sepsis-related) Organ Failure Assessment; qSOFA, quick SOFA; SIRS, sys...
<p>(a: cutoff value = 4.0, sensitivity = 82.11%, specificity = 96.91%; b: cutoff value = 2.0, sensit...
<p>Receiver operating characteristic (ROC) curve analysis for prediction of mortality by red cell di...
<p>The curves are based on risk-prediction models incorporating 16 clinical covariates that either i...
<p>AUC of ROC curve for the prediction of mortality at the time of CRRT application.</p
<p>The optimal cutoff values for each plasma biomarker level and the severity scores are presented. ...
Comparison of receiving operating curves (ROC) for prediction of ICU-mortality. Lactate AUROC = 0.79...
<p>The area under the ROC curve = 0.8803 for NT-proBNP and 0.8701 for Pneumonia Severity Index class...
Receiver Operating Characteristic (ROC) curve for the best cut-off point of Glasgow Coma Scale (GCS)...
<p>Receiver operating characteristic (ROC) curve analysis for the established prognostic model of ac...
ROC curves for the prediction of (A) poor neurological outcome and (B) hospital mortality associated...
<p>ImCUSS receiver operating characteristic curve (ROC) for mortality in the validation cohort (n = ...
<p>For GRACE score alone, the area under the curve (AUC) was 0.749 (95% CI: 0.707–0.787). When RDW w...
<p>(A) ROC curve based on the metabolomics scores evolution values (AUC 0.85; p<0.05, 95% CI 0.68–1)...
Lactate level alone may have good predictive ability for predicting both in-hospital and 30-day mort...
<p>SOFA indicates Sequential (Sepsis-related) Organ Failure Assessment; qSOFA, quick SOFA; SIRS, sys...
<p>(a: cutoff value = 4.0, sensitivity = 82.11%, specificity = 96.91%; b: cutoff value = 2.0, sensit...
<p>Receiver operating characteristic (ROC) curve analysis for prediction of mortality by red cell di...
<p>The curves are based on risk-prediction models incorporating 16 clinical covariates that either i...
<p>AUC of ROC curve for the prediction of mortality at the time of CRRT application.</p
<p>The optimal cutoff values for each plasma biomarker level and the severity scores are presented. ...
Comparison of receiving operating curves (ROC) for prediction of ICU-mortality. Lactate AUROC = 0.79...
<p>The area under the ROC curve = 0.8803 for NT-proBNP and 0.8701 for Pneumonia Severity Index class...
Receiver Operating Characteristic (ROC) curve for the best cut-off point of Glasgow Coma Scale (GCS)...
<p>Receiver operating characteristic (ROC) curve analysis for the established prognostic model of ac...
ROC curves for the prediction of (A) poor neurological outcome and (B) hospital mortality associated...
<p>ImCUSS receiver operating characteristic curve (ROC) for mortality in the validation cohort (n = ...
<p>For GRACE score alone, the area under the curve (AUC) was 0.749 (95% CI: 0.707–0.787). When RDW w...
<p>(A) ROC curve based on the metabolomics scores evolution values (AUC 0.85; p<0.05, 95% CI 0.68–1)...
Lactate level alone may have good predictive ability for predicting both in-hospital and 30-day mort...
<p>SOFA indicates Sequential (Sepsis-related) Organ Failure Assessment; qSOFA, quick SOFA; SIRS, sys...
<p>(a: cutoff value = 4.0, sensitivity = 82.11%, specificity = 96.91%; b: cutoff value = 2.0, sensit...
<p>Receiver operating characteristic (ROC) curve analysis for prediction of mortality by red cell di...