Table 2 ROC curve analysis for predicting severe MPP in BALF of children.

From: Interleukin 17A as a good predictor of the severity of Mycoplasma pneumoniae pneumonia in 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

  1. 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.
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