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Objectives: Placental related adverse pregnancy outcomes such as fetal growth restriction have significant short‐ and long‐term implications for both mother and fetus. This study aimed to determine if conventional and novel early first trimester ultrasound measures are associated with small for gestational age (SGA) neonates. In addition, we aimed to assess whether a combination of ultrasound measures, maternal characteristics and biochemistry improved the prediction of this adverse pregnancy outcome. Methods: This was a prospective cohort study including ultrasound measurements: trophoblast thickness (TT), trophoblast volume (TV), mean uterine artery pulsatility index, crown‐rump length, fetal heart rate, mean sac diameter (MSD) and yolk sac diameter. Biochemical markers considered in the analysis were placental growth factor (PIGF), pregnancy – associated plasma protein A (PAPP‐A), beta human chorionic gonadotropin and alpha fetoprotein. Regression models were fitted for ultrasound parameters using multiples of the median (MoM). All measures were compared with normal birthweight (BW) ≥10th centile and SGA (BW < 10th centile). Logistic regression analysis was used to create a clinical prediction model for SGA based on maternal characteristics, ultrasound measurements at <11 weeks gestational age and maternal biochemistry collected at 10–14 weeks. Results: As compared to pregnancies delivered of babies with normal BW (n = 1068), MoM values for TT, TV, MSD, PAPP‐A and PIGF were significantly reduced (P < 0.05) in pregnancies delivered of SGA babies (n = 73). The proposed logistic regression model includes maternal height, TV and PIGF resulting in an area under the receiver operator curve 0.70 (95% CI 0.63–0.76) for the prediction of SGA. Conclusion: A significantly decreased TV, measured <11 weeks gestation, is predictive of BW < 10th centile. With addition of maternal height and PIGF, this three‐marker algorithm provided a reasonable predictive value for the development of SGA later in pregnancy. [ABSTRACT FROM AUTHOR]

Objectives: Maternal hypertensive disorders (MHD), including pregnancy-induced hypertension and pre-eclampsia, are estimated to occur in 7-10% of pregnancies worldwide and have significant short- and long-term implications for both mother and fetus. This study aimed to determine the association of conventional and novel early first-trimester ultrasound measures with MHD and whether these ultrasound measures, combined with maternal characteristics and biochemistry, improve the prediction of MHD.Methods: This was a prospective cohort study of consecutive women with a singleton pregnancy, attending for an early (5 + 1 to 11 + 0 weeks' gestation) ultrasound examination at a private obstetric ultrasound practice between February 2016 and August 2018. Recorded ultrasound measurements included mean sac diameter, yolk sac diameter, crown-rump length, fetal heart rate (FHR), trophoblast thickness, trophoblast volume (TV) and mean uterine artery pulsatility index. Maternal biochemistry was assessed at 10-14 weeks and included beta-human chorionic gonadotropin, pregnancy-associated plasma protein-A (PAPP-A), placental growth factor (PlGF) and maternal serum alpha-fetoprotein. Regression models were fitted for each ultrasound parameter and multiples of the median (MoM) were calculated. All measures were compared between women who had a normotensive outcome and those who subsequently developed MHD. Logistic regression analysis was used to create a prediction model for MHD based on maternal characteristics, ultrasound measurements at 5 + 1 to 11 + 0 weeks' gestation and maternal biochemistry at 10-14 weeks.Results: In total, 1141 women were included in the analysis, of whom 1086 (95.2%) were normotensive at delivery and 55 (4.8%) developed MHD. Women who developed MHD weighed significantly more than did normotensive women (P < 0.0001). Mean MoM values for TV (P = 0.006), PAPP-A (P = 0.031) and PlGF (P = 0.044) were decreased significantly in pregnancies that subsequently developed MHD. The proposed logistic regression model includes maternal weight and height and MoM values for TV, FHR and PlGF, resulting in an area under the receiver-operating-characteristics curve of 0.80 (95% CI, 0.75-0.86).Conclusion: The combination of maternal weight and height, TV and FHR, measured prior to 11 weeks' gestation, and first-trimester PlGF appears to have good predictive value for development of MHD later in pregnancy. Copyright © 2020 ISUOG. Published by John Wiley & Sons Ltd. [ABSTRACT FROM AUTHOR]

Objective: To undertake a cost-effectiveness analysis of noninvasive fetal RHD genotyping to target pregnant women for antenatal anti-D prophylaxis therapy.Method: A decision-analytic model was constructed to compare RHD testing and targeted anti-D prophylaxis, with current universal anti-D prophylaxis among pregnant women with RhD negative blood type. Model estimates were derived from national perinatal statistics, published literature, donor program records, and national cost sources. One-way sensitivity analyses addressed the uncertainty of variables on the main findings.Results: The unit cost for RHD genotyping was estimated at AU$45.48 (US$31.84). The "mean cost per healthy baby" was AU$7495 (US$5247) for universal prophylaxis and AU$7471 (US$5230) for targeted prophylaxis. The findings were sensitive to the unit costs of anti-D 625 IU (AU$59-AU$88) (US$41-US$62), the genetic test (AU$36-AU$55) (US$25-US$39), and packaging/transport costs of the samples for testing (AU$15-AU$40, US$11-US$28 per sample). With RHD genotyping, 13 938 women would avoid antenatal anti-D prophylaxis at a total cost savings to the National Blood Authority of AU$2.1 million (US$1.5 million) per year. To the health system, net cost savings of AU$159 701 (US$111 791) per year (0.05%) were predicted for total health care costs.Conclusions: Given the vulnerable supply of donor plasma and other health concerns, RHD genotyping is an economically sound option for Australia. [ABSTRACT FROM AUTHOR]

Objective: To examine whether the maternal serum concentration of the soluble receptor-1 of tumor necrosis factor-α (TNF-R1) at 11-13 + 6 weeks of gestation is a predictor of development of pre-eclampsia (PE).Methods: This is a nested case-control study in which the concentration of TNF-R1 at 11 + 0 to 13 + 6 weeks was measured in 426 pregnant women in the first trimester. TNF-R1 values were expressed as multiples of the median (MoM) adjusted for maternal factors. The distributions of log TNF-R1 MoM in the control group and hypertensive disorders (early-PE [ePE], late-PE [lPE] and gestational hypertension [GH]) groups were compared. Logistic regression analysis was used to determine whether maternal factors, TNF-R1 or their combination make a significant contribution to the prediction of PE. Screening performance was determined by analysis of receiver-operating characteristics curves.Results: Median concentration of TNF-R1 (ng/ml) was higher in ePE (2.62 ± 0.67), lPE (2.12 ± 0.56) and GH (2.19 ± 0.45) compared to controls (2.04 ± 0.42), p = 0.001. Logistic regression analysis demonstrated that the addition of TNFR-1 to maternal factors did not make a significant contribution to the prediction of PE.Conclusions: The maternal serum TNF-R1 concentration at 11-13 + 6 weeks of gestation was increased in pregnancies which developed hypertensive disorders, however, the addition of TNFR-1 did not improve the detection rate of these conditions compared with maternal factors alone. [ABSTRACT FROM AUTHOR]