Asma Khalil, Giovanni Bellesia, Mary E Norton, Bo Jacobsson, Sina Haeri, Melissa Egbert, Fergal D Malone, Ronald J Wapner, Ashley Roman, Revital Faro, Rajeevi Madankumar, Noel Strong, Robert M Silver, Nidhi Vohra, Jon Hyett, Cora Macpherson, Brittany Prigmore, Ebad Ahmed, Zach Demko, J Bryce Ortiz, Vivienne Souter, Pe'er Dar
OBJECTIVE: Accurate individualized assessment of preeclampsia risk enables the identification of patients most likely to benefit from initiation of low-dose aspirin at 12-16 weeks' gestation when there is evidence for its effectiveness, as well as guiding appropriate pregnancy care pathways and surveillance. The primary objective of this study was to evaluate the performance of artificial neural network models for the prediction of preterm preeclampsia (<37 weeks' gestation) using patient characteristics available at the first antenatal visit and data from prenatal cell-free DNA (cfDNA) screening...
March 1, 2024: American Journal of Obstetrics and Gynecology