Table 3.

Multivariable binary logistic regression model for cervical cancer according to the inflammatory marker’s value.

Inflammatory Markers Predictive Value, pg/mL	CC Group OR [95% PI]	p Value
The model predicts correctly 81.7%, Nagelkerke coefficient of determination 0.583
LCN2 > 23,721.5	3.448 [1.455–8.166]	0.005
TREM-1 > 355.6	5.965 [2.257–15.767]	<0.001
IL-6 > 17.4	11,432 [4.897–26.684]	<0.001
Constant of model	−2.85	<0.001

OR—odds ratio; CI—confidence interval; CC—cervical cancer.