Screening models using multiple markers for early detection of late-onset preeclampsia in low-risk pregnancy

Table 4 ROC curve analyses for combinations of markers and the DR for preeclampsia at a fixed FPR of 10% and 5% using a logistic regression model

Variable	Cutoff¹	DR¹	Cutoff²	DR²	Area	S E	p-value	95% CI	Variable
PAPP-A + Inhibin A	5.01%	50	9.19%	37.5	0.812	0.093	0.003	0.629	0.995
PAPP-A + sFlt-1/PlGF¹	2.85%	87.5	4.72%	87.5	0.969	0.015	<0.001	0.940	0.999
PAPP-A + sFlt-1/PlGF²	2.62%	62.5	4.07%	50	0.917	0.036	<0.001	0.847	0.988
BMI + sFlt-1¹	4.6%	87.5	8.9%	75	0.937	0.039	<0.001	0.861	1.000
sFlt-1/PlGF¹ + sFlt-1/PlGF²	2.2%	87.5	3.4%	87.5	0,946	0.043	<0.001	0.862	1.000

The exploratory variable in each case is the risk determined by the logistic equation.
Cutoff¹: cutoff value at a fixed FPR of 10%, DR¹: DR at a fixed FPR of 10%, Cutoff²: cutoff value at a fixed FPR of 5%, DR²: DR at a fixed FPR of 5%, PAPP-A: pregnancy-associated plasma protein-A, sFlt-1¹: second trimester sFlt-1, sFlt-1/PlGF¹: second trimester sFlt-1/PlGF ratio, sFlt-1/PlGF²: third trimester sFlt-1/PlGF ratio, SE: standard error.

ISSN: 1471-2393