Table 4.

Prediction of preeclampsia based on urinary metabolites and maternal characteristics in logistic regression.

Variable	AUC (95% CI)	Sensitivity (%) a	PPV	NPV	p-Value b
Hippurate/creatinine ratio c	0.694 (0.595–0.793)	0.192	0.082	0.960	0.004
MAP, age d, UtAPI	0.738 (0.637–0.839)	0.346	0.138	0.967	<0.001
Metabolites, MAP, age d	0.778 (0.695–0.862)	0.423	0.164	0.971	<0.001
Metabolites, MAP, age d, UtAPI	0.807 (0.721–0.893)	0.538	0.200	0.977	<0.001

Abbreviations: AUC, area under the receiver operator characteristic curve; CI, confidence interval; MAP, mean arterial pressure at enrolment; NPV, negative predictive value; PPV, positive predictive value; UtAPI; uterine artery pulsatility index at enrolment. ^a Sensitivity is given at 10% false discovery rate; ^b Omnibus chi-square significance level of the model; ^c Metabolites were chosen based on selection in the multivariate models and the metabolite/creatinine ratios used in logistic regression. The final metabolites selected were hippurate/creatinine ratio in urine; ^d Women with maternal age <20 or >35 were categorised as high risk.