Figure 1

Receiver Operating Curves (ROC) characteristics of the diagnostic performance of copeptin for severe P. falciparum malaria, compared to that of sodium, lactate, CRP and procalcitonin. The ROC curve is a graph of sensitivity (true positive fraction) plotted against 1-specificity (false positive fraction). The performance of a diagnostic variable can be quantified by calculating the area under the ROC curve (AUROC). The ideal test would have an AUROC of 1, whereas a random guess would have an AUROC of 0.5. The results of the pair-wise comparison of ROC curves are shown (with copeptin ROC curve as comparator). a. copeptin vs sodium (n = 204 pairs, p-value not significant); b. copeptin vs lactate (n = 124 pairs, p-value not significant); c. copeptin vs CRP (n = 202 pairs, p = 0.02); d. copeptin vs procalcitonin (n = 70 pairs, p-value not significant). The copeptin graphs are not all identical due to missing values in pair-wise comparisons.