The effect of customized growth charts on the identification of large for gestational age newborns

Objective: To determine the effect of using customized vs. standard population birthweight curves to define large for gestational age (LGA) infants. Methods: We analyzed data obtained from 2,097 singleton pregnancies using three different methods of classifying newborn birthweight: standard populati...

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Bibliographic Details
Published in:The journal of maternal-fetal & neonatal medicine 2013-01, Vol.26 (1), p.62-65
Main Authors: González González, Nieves L., Plasencia, Walter, González Dávila, Enrique, Padrón, Erika, García Hernández, Jose A., Di Renzo, Gian C., Bartha, Jose L.
Format: Article
Language:English
Subjects:
Adult
Birth Weight
birth weight percentiles
customized curves
Female
Fetal Macrosomia - diagnosis
Gestational Age
Growth Charts
Humans
Infant, Newborn
Large for gestational age
macrosomia
population standards
Pregnancy
Reference Standards
Retrospective Studies
small for gestational age
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Summary:Objective: To determine the effect of using customized vs. standard population birthweight curves to define large for gestational age (LGA) infants. Methods: We analyzed data obtained from 2,097 singleton pregnancies using three different methods of classifying newborn birthweight: standard population curves, British or Spanish customized curves. We recorded maternal characteristics, proportion of LGA newborns when using each method, percentage of LGA according to one method but not for the others, and concordance between the different methods. Results: The proportion of LGA newborns according to Spanish customized curves was significantly lower than that calculated using either standard general population birthweight curves or British curves (p < 0.001). A third (33.9%) of the infants classified as LGA according to the general population method were adequate for gestational age (AGA) when the Spanish customized curves were used, and 18.5% of non-LGA were LGA according to customized curves (p < 0.001). Concordance between the different models high, but on excluding AGA the concordance coefficient was low (Cohen's κ
ISSN:1476-7058
1476-4954
DOI:10.3109/14767058.2012.726298