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First-trimester prediction of birth weight
Isabelle Boucoiran1, Anissa Djemli, Catherine Taillefer
1Department of Obstetrics and Gynecology, CHU Sainte-Justine Research Center, Université de Montréal, Montreal, Quebec, Canada. isabelle@boucoiran.fr
American Journal of Perinatology
|January 4, 2013
Summary
First-trimester screening markers like nuchal translucency and PAPP-A can predict birth weight. However, their clinical use for identifying small-for-gestational-age (SGA) or large-for-gestational-age (LGA) babies is limited.
Area of Science:
- Maternal-fetal medicine
- Prenatal diagnostics
- Reproductive endocrinology
Background:
- First-trimester screening typically assesses aneuploidy risk using nuchal translucency (NT), free beta-chorionic gonadotropin (fβ-hCG), and pregnancy-associated plasma protein-A (PAPP-A).
- The potential of these markers to predict birth weight and identify fetuses at risk for small-for-gestational-age (SGA) or large-for-gestational-age (LGA) remains less understood.
Purpose of the Study:
- To investigate the predictive value of first-trimester aneuploidy screening parameters for birth weight.
- To determine if these parameters can significantly improve the detection of SGA and LGA neonates.
Main Methods:
- Retrospective cohort study of 4110 pregnancies.
- Measurement of NT, fβ-hCG, and PAPP-A between 11 and 13 weeks gestation.
- Exclusion of multiple pregnancies, chromosomal anomalies, major fetal defects, and early deliveries.
Main Results:
- NT and PAPP-A levels were significantly lower in SGA newborns compared to unaffected infants.
- NT levels were significantly higher in LGA newborns compared to unaffected infants.
- While first-trimester markers contributed to birth weight prediction in a multiple linear model, they did not significantly improve the prediction of SGA or LGA beyond maternal characteristics alone.
Conclusions:
- First-trimester screening parameters for aneuploidies demonstrate a contribution to birth weight prediction.
- The clinical utility of these markers for identifying pregnancies at risk for SGA or LGA babies is limited.
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