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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).
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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%).
Using ROC analysis, an initial lactate level of 6 mmol/l had the best predictive value for mortality.
The Precontemplation has been considered to have the best predictive value for poor treatment outcome among the subscales [ 38].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com