Skip to main content
. 2017 Oct 11;7:12934. doi: 10.1038/s41598-017-13292-5

Table 2.

ROC curve analysis for predicting severe MPP in BALF of children.

Parameter AUC Cut off value Sensitivity Specificity p value 95% confidence interval
IL17A 0.8173 0.00087 0.9500 0.6154 0.00026*** 0.6966–0.9380
IL4 0.6692 0.00052 0.9500 0.5000 0.05124 0.5105–0.8280
IL10 0.6196 0.03166 0.9000 0.4783 0.1806 0.4478–0.7914
IFNβ1 0.5482 0.00140 0.8947 0.3750 0.5906 0.3719–0.7246

ROC: receiver operating characteristic; AUC: area under the ROC curve; Cut off value: the value on the ROC curve is closest to the upper right to take maximum sensitivity and specificity; p value: *p < 0.05, **p < 0.01, ***p < 0.001.