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ASA classification is the best predictive value for overall mortality.
And bowel wall enhancement shows the best predictive value for active inflammation in our study.
ASA classification is the best predictive value for overall mortality in these patients.
A receiver operator characteristic (ROC) curve was built to identify the best predictive value for mortality.
In this study PCT had the best predictive value for bacteremia (AUC 0.80).
ROC analysis confirmed the best predictive value for SV (at 56 ml cut-off AUC 0.97, sensitivity 94%, specificity 95%).
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Using ROC analysis, IL-6 (AUC 0.836, sensitivity 78.6%, specificity 75.9% for cut off 184 pg/mL) as well as C-reactive protein (AUC 0.804, sensitivity 71.4%, specificity 75.9% for cut-off 15.25 mg/dL) showed the best predictive values for positive SF results.
They found the best predictive values for MT were provided by hemoglobin and the Quick value (AUC 0.87 for both parameters).
Of patients admitted with FIBTEM MCF 0 to 3 mm, 85% received MT. The best predictive values for MT were provided by hemoglobin and Quick value (area under receiver operating curve: 0.87 for both parameters).
In contrast to our recent findings [ 16], the present study showed a best predictive value of ScO2 of less than 59.5% for postoperative delirium, which is almost 10% higher than the reported ScO2 of less than 50% for morbidity and mortality.
The best predictive value was obtained for the invariant chain (CD74) mRNA level (P = 0.003).
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