Objective To compare the performance of screening for pre-eclampsia (PE) based on risk factors from medical history, as recommended by NICE and ACOG, with the method proposed by The Fetal Medicine Foundation (FMF)

The beneficial effect of aspirin in the prevention of preterm preeclampsia appears to depend on compliance.

Objective: To evaluate the Fetal Medicine Foundation (FMF) algorithm prospectively at 11-13 weeks' gestation in the prediction of preeclampsia (PE). Methods: Single-center prospective screening study for PE of singleton pregnancies at 11-13 weeks. The FMF algorithm takes into account maternal characteristics and biomarkers. Detection rate (DR) for a 10% false-positive rate (FPR) for delivery with preterm and term PE was estimated. Results: Between January 2011 and December 2013, of 3,239 patients available for final analysis, 36 (1.1%) subsequently developed preterm and 44 (1.4%) term PE. In combined screening by maternal factors, mean arterial pressure, uterine artery pulsatility index, and serum placental growth factor, the DR was 80.6% (95% CI 64.0-91.8) for PE at <37 weeks and 31.8% (95% CI 18.6-47.6) for PE at ≥37 weeks, at a 10% FPR. Conclusion: Our data suggest that the FMF algorithm provides effective first-trimester screening for preterm PE.

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What are the novel findings of this work?This prospective multicenter study of screening for pre-eclampsia (PE) in 29 677 singleton pregnancies at 35 + 0 to 36 + 6 weeks' gestation by means of the competing-risks model with a combination of maternal risk factors, mean arterial pressure, serum placental growth factor and serum soluble fms-like tyrosine kinase-1 has validated a previously reported algorithm. There was very high discrimination between affected and unaffected pregnancies and good agreement between the predicted risk and observed incidence of PE. What are the clinical implications of this work?Effective screening for PE at 36 weeks' gestation provides an opportunity for the development of strategies to reduce the incidence or adverse consequences of term PE.

Objectives First, to validate a previously developed model for screening for pre‐eclampsia (PE) by maternal characteristics and medical history in twin pregnancies; second, to compare the distributions of mean arterial pressure (MAP), uterine artery pulsatility index (UtA‐PI), serum placental growth factor (PlGF) and serum pregnancy‐associated plasma protein‐A (PAPP‐A) in twin pregnancies that delivered with PE to those in singleton pregnancies and to develop new models based on these results; and, third, to examine the predictive performance of these models in screening for PE with delivery at < 32 and < 37 weeks' gestation. Methods Two datasets of prospective non‐intervention multicenter screening studies for PE in twin pregnancies at 11 + 0 to 13 + 6 weeks' gestation were used. The first dataset was from the EVENTS (Early vaginal progesterone for the preVention of spontaneous prEterm birth iN TwinS) trial and the second was from a previously reported study that examined the distributions of biomarkers in twin pregnancies. Maternal demographic characteristics and medical history from the EVENTS‐trial dataset were used to assess the validity of risks from our previously developed model. The combined data from the first and second datasets were used to compare the distributional properties of log10 multiples of the median (MoM) values of UtA‐PI, MAP, PlGF and PAPP‐A in twin pregnancies that delivered with PE to those in singleton pregnancies and develop new models based on these results. The competing‐risks model was used to estimate the individual patient‐specific risks of delivery with PE at < 32 and < 37 weeks' gestation. Screening performance was measured by detection rates (DR) and areas under the receiver‐operating‐characteristics curve. RESULTS The EVENTS‐trial dataset comprised 1798 pregnancies, including 168 (9.3%) that developed PE. In the validation of the prior model based on maternal characteristics and medical history, calibration plots demonstrated very good agreement between the predicted risks and the observed incidence of PE (calibration slope and intercept for PE < 32 weeks were 0.827 and 0.009, respectively, and for PE < 37 weeks they were 0.942 and −0.207, respectively). In the combined data, there were 3938 pregnancies, including 339 (8.6%) that developed PE and 253 (6.4%) that delivered with PE at < 37 weeks' gestation. In twin pregnancies that delivered with PE, MAP, UtA‐PI and PlGF were, at earlier gestational ages, more discriminative than in singleton pregnancies and at later gestational ages they were less so. For PAPP‐A, there was little difference between PE and unaffected pregnancies. The best performance of screening for PE was achieved by a combination of maternal factors, MAP, UtA‐PI and PlGF. In screening by maternal factors alone, the DR, at a 10% false‐positive rate, was 30.6% for delivery with PE at < 32 weeks' gestation and this increased to 86.4% when screening by the combined test; the respective values for PE < 37 weeks were 24.9% and 41.1%. Conclusions In the as...

MRI planimetry using our purpose-designed semi-automated method is not time-consuming. The predictive performance of MRI-EFW performed immediately prior to or remote from delivery is significantly better than that of US-EFW for the prediction of large-for-dates neonates. Copyright © 2017 ISUOG. Published by John Wiley & Sons Ltd.

Objective: The aim of this study was to apply a semi-automated calculation method of fetal body volume and, thus, of magnetic resonance-estimated fetal weight (MR-EFW) prior to planned delivery and to evaluate whether the technique of measurement could be simplified while remaining accurate. Methods: MR-EFW was calculated using a semi-automated method at 38.6 weeks of gestation in 36 patients and compared to the picture archiving and communication system (PACS). Per patient, 8 sequences were acquired with a slice thickness of 4-8 mm and an intersection gap of 0, 4, 8, 12, 16, or 20 mm. The median absolute relative errors for MR-EFW and the time of planimetric measurements were calculated for all 8 sequences and for each method (assisted vs. PACS), and the difference between the methods was calculated. Results: The median delivery weight was 3,280 g. The overall median relative error for all 288 MR-EFW calculations was 2.4% using the semi-automated method and 2.2% for the PACS method. Measurements did not differ between the 8 sequences using the assisted method (p = 0.313) or the PACS (p = 0.118), while the time of planimetric measurement decreased significantly with a larger gap (p < 0.001) and in the assisted method compared to the PACS method (p < 0.01). Conclusion: Our simplified MR-EFW measurement showed a dramatic decrease in time of planimetric measurement without a decrease in the accuracy of weight estimates.