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Competing‐risks model for prediction of small‐for‐gestational‐age neonates from maternal characteristics and serum pregnancy‐associated plasma protein‐A at 11–13 weeks’ gestation

Ultrasound in Obstetrics & Gynecology Aug 12, 2020

Papastefanou I, Wright D, Syngelaki A, et al. - Researchers conducted this prospective observational study to develop a continuous likelihood model for the pregnancy associated plasma protein – A (PAPP‐A), in the context of a new competing risks model for small for gestational age (SGA) neonates and to compare the predictive performance of the new model for SGA to that of previous methods. The sample consisted of 60,875 women with singleton pregnancies undergoing routine ultrasound examination at 11+0 ‐ 13+6 weeks’ gestation. According to a folded regression plane, PAPP‐A has a continuous association with both birthweight Z‐score and GA. Using Bayes theorem to combine PAPP‐A measurements data with maternal characteristics enhances SGA prediction and performs better than logistic regression or NICE guidelines, in the context of a new competing risks model for the joint distribution of birthweight Z‐score and GA.

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