Improving the Predictive Accuracy for Pre-eclampsia by Combining Demographic and Socio-economic Risk Factors with Biochemical Indicators : Table 1

Table 1: Uni- Variant Logistic Regression Analysis - the meaning of age in the prediction of severe preeclampsia.
Dependent variable - severe preeclampsia/ non-severe preeclampsia **p<0,01.

Variable	B	S.E.	Wald	Sig.	Exp(B)	95,0% CI for Exp (B)
Age	0,234	0,080	8,510	0,004**	1,263	1,080	1,478
Constant	-7,510	2,603	8,323	0,004	0,001