Comparison of receiving operating curves (ROC) for prediction of ICU-mortality. Lactate AUROC = 0.79 (95%-CI 0.77–0.82); base excess AUROC = 0.72 (95%-CI 0.69–0.74), p = 0.27.</p
The ROC curve for serum albumin to predict long length of stay of AHF patients in the ICU (A). The R...
<p>ImCUSS receiver operating characteristic curve (ROC) for mortality in the validation cohort (n = ...
The threshold value of lactate clearance rate was determined at the point with maximum area under th...
Lactate level alone may have good predictive ability for predicting both in-hospital and 30-day mort...
<p>Comparison of receiver operating characteristic (ROC) curves for unplanned intensive care unit re...
<p>AUC area under curve by Hanley method to calculate standard errors, CI 95% confidential intervals...
<p>Comparisons of receiver operating characteristic (ROC) curves for a clinical model (including age...
<p>Comparison of ROC curves in predicting the 30-day mortality by GCS, ICH scores, ICH size, and ICH...
<p>Areas under curves (AUCs) and p values were 0.883 (95% CI, 0.806–0.932; p < 0.0001) for the EuroS...
ROC curves for the prediction of (A) poor neurological outcome and (B) hospital mortality associated...
<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 area under the ROC curve = 0.8803 for NT-proBNP and 0.8701 for Pneumonia Severity Index class...
<p>ROC curves analysis of lactate, cholesterol and lactate to cholesterol ratio in relation with 30-...
<p>Comparison between ROC curves for RHF-related death prediction according to each significant char...
The ROC curve for serum albumin to predict long length of stay of AHF patients in the ICU (A). The R...
<p>ImCUSS receiver operating characteristic curve (ROC) for mortality in the validation cohort (n = ...
The threshold value of lactate clearance rate was determined at the point with maximum area under th...
Lactate level alone may have good predictive ability for predicting both in-hospital and 30-day mort...
<p>Comparison of receiver operating characteristic (ROC) curves for unplanned intensive care unit re...
<p>AUC area under curve by Hanley method to calculate standard errors, CI 95% confidential intervals...
<p>Comparisons of receiver operating characteristic (ROC) curves for a clinical model (including age...
<p>Comparison of ROC curves in predicting the 30-day mortality by GCS, ICH scores, ICH size, and ICH...
<p>Areas under curves (AUCs) and p values were 0.883 (95% CI, 0.806–0.932; p < 0.0001) for the EuroS...
ROC curves for the prediction of (A) poor neurological outcome and (B) hospital mortality associated...
<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 area under the ROC curve = 0.8803 for NT-proBNP and 0.8701 for Pneumonia Severity Index class...
<p>ROC curves analysis of lactate, cholesterol and lactate to cholesterol ratio in relation with 30-...
<p>Comparison between ROC curves for RHF-related death prediction according to each significant char...
The ROC curve for serum albumin to predict long length of stay of AHF patients in the ICU (A). The R...
<p>ImCUSS receiver operating characteristic curve (ROC) for mortality in the validation cohort (n = ...
The threshold value of lactate clearance rate was determined at the point with maximum area under th...