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. 2007 Dec 13;14(6):345–351. doi: 10.1080/10623320701678326

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© Informa Healthcare USA, Inc.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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FIG. 3. — Receiver operating curve (ROC) analysis of CT-proET1, MRproADM, the CT-proET1/MR-proADM ratio and the APACHE II score with respect to outcome prediction of critically ill patients. Receiver operating characteristic (ROC) plots are graphical plots illustrating the sensitivity (y-axis) and the specificity (x -axis) for all cut-off points of a diagnostic or prognostic test. The overall performance and a summary measure of the diagnostic accuracy of a test can be expressed as the area under the ROC curve (AUC). Note that an AUCof 0.50 means that the diagnostic accuracy in question is equivalent to that which would be obtained by flipping a coin (i.e., random chance). (a) Data of all patients (n = 95) with SIRS and sepsis on admission to the ICU. Sensitivity was calculated with nonsurvivors (n = 21), specificity with survivors (n = 74) during their hospital stay. (b) Data of patients with sepsis (including septic shock) in need for blood pressure support with vasoactiva (n = 30) on admission to the ICU. Sensitivity was calculated with nonsurvivors (n = 9), specificity with survivors (n = 21) during their hospital stay.