Cohort III-2 137 Aim: to determine the role of nerve The best predictors of PE were () growth factor (NGF) in the first-trimester previous PE, chronic hypertension and screening for preeclampsia (PE). UtAD. With a false-positive rate of 10%, the detection rates (DRs) of Methods: Uterine artery Doppler (UtAD) and e-PE were 38 and 50%, was determined transvaginally. respectively. The addition of MoM Maternal concentrations of NGF were NGF did not improve the DR of PE. assessed in 42 patients who subsequently developed PE and in 95 controls. Quantile and multivariate regression analyses were performed for the NGF and UtAD adjustment and expressed as the multiple of the median (MoM) of the unaffected group. Logistic regression analysis was conducted to identify the best model for the prediction of PE. Cohort III-2 541 Aim: To evaluate two algorithms for The performance of the two () prediction of preeclampsia in a algorithms was similar, but quite poor, population of nulliparous women in for prediction of preeclampsia Norway. requiring delivery before 42 weeks with an area under the curve of 0.77 Methods: women were examined to (0.67 0.87) and sensitivity 40% (95% between 11+0 and 13+6 weeks with CI 19.1 to 63.9) at a fixed 10% false interviews for maternal characteristics to positive rate for FMF and 0.74 (0.63 and measurements of MAP, uterine 0.84) and sensitivity 30% (95% CI artery pulsatility index, PAPP-A and at a fixed 10% false positive rate PlGF. The First Trimester Screening for PREDICTOR. The FMF algorithm for Program version 2.8 by The Fetal <37 preeclampsia requiring delivery Medicine Foundation (FMF) was weeks had an area under the curve compared with the Preeclampsia of 0.94 (0.86–1.0) and sensitivity of 80% Predictor TM version 1 revision 2 by (95% CI 28.4–99.5) at a 10% fixed false Perkin Elmer (PREDICTOR). positive rate.
() Cohort III-2 137 Aim: to determine the role of nerve growth factor (NGF) in the first-trimester screening for preeclampsia (PE). Methods: Uterine artery Doppler (UtAD) was determined transvaginally. Maternal concentrations of NGF were assessed in 42 patients who subsequently developed PE and in 95 controls. Quantile and multivariate regression analyses were performed for the NGF and UtAD adjustment and expressed as the multiple of the median (MoM) of the unaffected group. Logistic regression analysis was conducted to identify the best model for the prediction of PE. The best predictors of PE were previous PE, chronic hypertension and UtAD. With a false-positive rate of 10%, the detection rates (DRs) of and e-PE were 38 and 50%, respectively. The addition of MoM NGF did not improve the DR of PE. () Cohort III-2 541 Aim: To evaluate two algorithms for prediction of preeclampsia in a population of nulliparous women in Norway. Methods: women were examined between 11+0 and 13+6 weeks with interviews for maternal characteristics and measurements of MAP, uterine artery pulsatility index, PAPP-A and PlGF. The First Trimester Screening Program version 2.8 by The Fetal Medicine Foundation (FMF) was compared with the Preeclampsia Predictor TM version 1 revision 2 by Perkin Elmer (PREDICTOR). The performance of the two algorithms was similar, but quite poor, for prediction of preeclampsia requiring delivery before 42 weeks with an area under the curve of 0.77 (0.67 to 0.87) and sensitivity 40% (95% CI 19.1 to 63.9) at a fixed 10% false positive rate for FMF and 0.74 (0.63 to 0.84) and sensitivity 30% (95% CI at a fixed 10% false positive rate for PREDICTOR. The FMF algorithm for preeclampsia requiring delivery <37 weeks had an area under the curve of 0.94 (0.86–1.0) and sensitivity of 80% (95% CI 28.4–99.5) at a 10% fixed false positive rate.