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Teratogenicity

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Updated: Jun 1, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

First-trimester screening for large-for-gestational-age infants.

W Plasencia¹, E González Dávila, V Tetilla

¹Hospiten Global Care, Canary Islands, Spain. walter.plasencia@hospiten.com

Ultrasound in Obstetrics & Gynecology : the Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology

|May 26, 2011

Summary

This summary is machine-generated.

First-trimester screening using uterine artery pulsatility index (UtA-PI), pregnancy-associated plasma protein-A (PAPP-A), and nuchal translucency (NT) can identify over a third of pregnancies delivering large-for-gestational-age (LGA) neonates. These markers, combined with maternal factors, improve prediction of newborn birth weight.

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High Frequency Ultrasound for the Analysis of Fetal and Placental Development In Vivo

High Frequency Ultrasound for the Analysis of Fetal and Placental Development In Vivo

Published on: November 8, 2018

Area of Science:

Perinatal Medicine
Maternal-Fetal Medicine
Obstetrics

Background:

Accurate prediction of newborn birth weight and identification of large-for-gestational-age (LGA) neonates are crucial in prenatal care.
First-trimester markers, including maternal characteristics, ultrasound measurements, and biochemical markers, are increasingly utilized for risk assessment.

Purpose of the Study:

To investigate the association between first-trimester uterine artery pulsatility index (UtA-PI), pregnancy-associated plasma protein-A (PAPP-A), free β-human chorionic gonadotropin (β-hCG), and fetal nuchal translucency (NT) with newborn birth weight.
To evaluate the efficacy of an integrated first-trimester screening approach for identifying pregnancies at risk of delivering LGA neonates.

Main Methods:

A cohort of 2097 singleton pregnancies underwent first-trimester assessment (11 + 0 to 13 + 6 weeks) including maternal factors, UtA-PI, PAPP-A, free β-hCG, and NT.
Linear models and multiple logistic regression were employed to develop predictive models for fetal birth weight and LGA risk.
Receiver-operating characteristics curve analysis assessed the performance of the screening strategy.

Main Results:

The optimal predictive model for fetal birth weight incorporated UtA-PI, PAPP-A, NT, parity, maternal age, smoking status, weight, height, and free β-hCG.
Pregnancies delivering LGA neonates exhibited significantly increased PAPP-A and NT thickness, and decreased UtA-PI compared to non-LGA pregnancies.
An integrated model combining maternal factors with PAPP-A, NT, and UtA-PI identified 34.4% of LGA newborns with a 10% false-positive rate.

Conclusions:

First-trimester PAPP-A, β-hCG, fetal NT, and UtA-PI are associated with newborn birth weight and can predict LGA infants.
The integrated first-trimester screening approach demonstrates potential for identifying over one-third of pregnancies delivering LGA neonates, aiding in early intervention and management.