Competing‐risks model for prediction of small‐for‐gestational‐age neonate at 36 weeks' gestation. (12th October 2022)

• Record Type: Journal Article
• Authors: Papastefanou, I.; Thanopoulou, V.; Dimopoulou, S.; Syngelaki, A.; Akolekar, R.; Nicolaides, K. H.
• Is Part Of: Ultrasound in obstetrics & gynecology. Volume 60:Number 5(2022)
• Page Start: 612
• Page End: 619
• Publication Date: 2022-10-12
• Subjects: Bayes theorem -- estimated fetal weight -- fetal growth restriction -- likelihood -- placental growth factor -- pyramid of prenatal care -- SGA -- stratification -- survival model -- third‐trimester screening -- uterine artery Doppler; Ultrasonics in obstetrics -- Periodicals; Generative organs, Female -- Diseases -- Diagnosis -- Periodicals; Diagnosis, Ultrasonic -- Periodicals; Genital Diseases, Female -- ultrasonography -- Periodicals; Ultrasonography, Prenatal -- Periodicals; 618.047543
• DOI: 10.1002/uog.26057
• Languages: English
• ISSNs: 0960-7692

Abstract

ABSTRACT: Objectives: To develop further a competing‐risks model for the prediction of a small‐for‐gestational‐age (SGA) neonate by including sonographically estimated fetal weight (EFW) and biomarkers of impaired placentation at 36 weeks' gestation, and to compare the performance of the new model with that of the traditional EFW < 10 th percentile cut‐off. Methods: This was a prospective observational study in 29 035 women with a singleton pregnancy undergoing routine ultrasound examination at 35 + 0 to 36 + 6 weeks' gestation. A competing‐risks model for the prediction of a SGA neonate was used. The parameters included in the prior‐history model were provided in previous studies. An interaction continuous model was used for the EFW likelihood. A folded plane regression model was fitted to describe likelihoods of biomarkers of impaired placentation. Stratification plans were also developed. The new model was evaluated and compared with EFW percentile cut‐offs. Results: The performance of the model was better for predicting SGA neonates delivered closer to the point of assessment. The prediction provided by maternal factors alone was improved significantly by the addition of EFW, uterine artery pulsatility index (UtA‐PI) and placental growth factor (PlGF) but not by mean arterial pressure or soluble fms‐like tyrosine kinase‐1. At a 10% false‐positive rate, maternal factors and EFW predicted 77.6% and 65.8% of SGA neonates < 10 th percentile delivered before 38 and 42 weeks, respectively. The respective figures for SGA < 3 rd percentile were 85.5% and 74.2%. Addition of UtA‐PI and PlGF resulted in marginal improvement in prediction of SGA < 3 rd percentile requiring imminent delivery. A competing‐risks approach that combines maternal factors and EFW performed better when compared with fixed EFW percentile cut‐offs at predicting a SGA neonate, especially with increasing time interval between assessment and delivery. The new model was well‐calibrated. Conclusions: A competing‐risks model provides effective risk stratification for a SGA neonate at 35 + 0 to 36 + 6 weeks' gestation and is superior to EFW percentile cut‐offs. The use of biomarkers of impaired placentation in addition to maternal factors and fetal biometry results in small improvement of the predictive performance for a neonate with severe SGA. © 2022 International Society of Ultrasound in Obstetrics and Gynecology.