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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Ultrasound in Obstet...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Ultrasound in Obstetrics and Gynecology
Article . 2020 . Peer-reviewed
License: Wiley Online Library User Agreement
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Large‐for‐gestational age diagnosed during second‐trimester anatomy ultrasound and association with gestational diabetes and large‐for‐gestational age at birth

Authors: P. Rekawek; L. Liu; C. Getrajdman; C. Brooks; S. Pan; J. Overbey; B. Wagner;

Large‐for‐gestational age diagnosed during second‐trimester anatomy ultrasound and association with gestational diabetes and large‐for‐gestational age at birth

Abstract

ABSTRACTObjectivesTo determine if large‐for‐gestational age (LGA) diagnosed during second‐trimester ultrasound examination is associated with the development of gestational diabetes mellitus (GDM) and LGA at birth.MethodsThis was a retrospective cohort study of all pregnant women who underwent a second‐trimester anatomy ultrasound examination between 18 and 22 weeks at our institution from 2012 to 2017. Patients were included in the LGA group if estimated fetal weight and/or fetal abdominal circumference was ≥ 90th percentile for gestational age. Patients with a history of pre‐GDM, multiple gestation, preterm delivery, use of betamethasone or fetal anomaly were excluded. The control group consisted of appropriate‐for‐gestational‐age (AGA) pregnancies that were scanned at 18–22 weeks during the study period. AGA was defined as EFW > 10th percentile and ≤ 89th percentile. Prenatal and delivery records were reviewed and demographic and outcome variables were collected. Multivariable logistic regression models were applied to assess the impact of LGA diagnosed in the second trimester on the development of GDM and LGA at birth (birth weight ≥ 90th percentile).ResultsThe study population included 756 patients with a LGA fetus and 756 with an AGA fetus on second‐trimester ultrasound examination. In patients with a LGA fetus diagnosed during the second‐trimester ultrasound examination, the incidence of GDM was 6.0% and the incidence of LGA at birth was 14.9%. Among patients with a LGA fetus in the second trimester, those who developed GDM or LGA at birth were significantly older and were more likely to be obese. Moreover, parity was associated with neonatal LGA (P = 0.0003) but not with GDM (P = 0.82). On multivariable logistic regression analysis with adjustment for age, parity, change in gestational body mass index, obesity, ethnicity and neonatal sex, LGA diagnosed during the second trimester was associated significantly with GDM (adjusted odds ratio (aOR), 2.54; 95% CI, 1.29–5.03; P = 0.007) and LGA at birth (aOR, 6.85; 95% CI, 3.60–13.05; P < 0.0001).ConclusionsLGA diagnosed during second‐trimester ultrasound examination is associated with the development of GDM and LGA at birth, independent of known risk factors, and could be used to identify these women earlier for intervention. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.

Keywords

Adult, Infant, Newborn, Ultrasonography, Prenatal, Fetal Macrosomia, Fetal Development, Diabetes, Gestational, Fetus, Logistic Models, Fetal Weight, Pregnancy, Risk Factors, Pregnancy Trimester, Second, Birth Weight, Humans, Female, Waist Circumference, Retrospective Studies

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
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