ASPRE trial: incidence of preterm pre-eclampsia in patients fulfilling ACOG and NICE criteria according to risk by FMF algorithm.
Liona Chiu Yee PoonDaniel Lorber RolnikM Y TanJ L DelgadoT TsokakiRanjit AkolekarM SinghW AndradeT EfeturkJ C JaniW PlasenciaG K PapaioannouA R BlazquezI F CarboneD WrightK H NicolaidesPublished in: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology (2018)
In women who are screen positive for preterm PE by the ACOG or NICE criteria but screen negative by the FMF algorithm, the risk of preterm PE is reduced to within or below background levels. The results provide further evidence to support the personalized risk-based screening method that combines maternal factors and biomarkers. Copyright © 2018 ISUOG. Published by John Wiley & Sons Ltd.
Keyphrases
- low birth weight
- end stage renal disease
- preterm birth
- gestational age
- machine learning
- chronic kidney disease
- deep learning
- high throughput
- ejection fraction
- newly diagnosed
- pregnancy outcomes
- clinical trial
- polycystic ovary syndrome
- peritoneal dialysis
- randomized controlled trial
- study protocol
- phase iii
- phase ii
- open label
- body mass index
- adipose tissue
- neural network
- single cell
- meta analyses
- weight gain