A Ego1, C Prunet2, E Lebreton3, B Blondel2, M Kaminski2, F Goffinet4, J Zeitlin2. 1. Inserm UMR 1153, équipe de recherche en épidémiologie obstétricale, périnatale et pédiatrique (EPOPé), centre de recherche épidémiologie et statistique Sorbonne Paris-Cité, DHU risques et grossesse, université Paris-Descartes, 75014 Paris, France; Pôle santé publique, CHU de Grenoble, 38000 Grenoble, France. Electronic address: aego@chu-grenoble.fr. 2. Inserm UMR 1153, équipe de recherche en épidémiologie obstétricale, périnatale et pédiatrique (EPOPé), centre de recherche épidémiologie et statistique Sorbonne Paris-Cité, DHU risques et grossesse, université Paris-Descartes, 75014 Paris, France. 3. Perinat-ARS-IDF, agence régionale de santé d'Île-de-France, 35, rue de la Gare, 75019 Paris, France. 4. Inserm UMR 1153, équipe de recherche en épidémiologie obstétricale, périnatale et pédiatrique (EPOPé), centre de recherche épidémiologie et statistique Sorbonne Paris-Cité, DHU risques et grossesse, université Paris-Descartes, 75014 Paris, France; Maternité Port-Royal, hôpital Cochin-Saint-Vincent-de-Paul, Assistance publique-Hôpitaux de Paris, 75014 Paris, France.
Abstract
OBJECTIVES: We developed intrauterine growth references, called EPOPé curves, in line with recommendations for screening of intra-uterine growth restriction issued in 2013 by the French College of Obstetricians and Gynecologists. POPULATION AND METHODS: Using the French Perinatal Survey (FPS) 2010, we adapted the methodology developed by Gardosi (1) to model intrauterine growth and its distribution and (2) to adjust for physiological fetal and maternal factors influencing fetal weight. Based on this model, 3 reference curves (unadjusted, adjusted for fetal sex, and adjusted for fetal sex, and maternal height, weight and parity) were proposed. We applied these models to births in the 2010 FPS and the French hospital discharge database (PMSI) in 2011-2012. RESULTS: Among singleton live births in the FPS and the PMSI, the model adjusted for fetal sex identified 3.2 and 3.3% of births below the 3rd centile respectively, and 10.0 and 10.2% below the 10th. In model adjusted for maternal factors, 4.0% of births from the FPS 2010 were reclassified, but population rates remained at 3.0 and 10.0%. CONCLUSION: This growth model is appropriate for French births, and allows for the implementation of a homogeneous definition of small for gestational age infants during pregnancy and at birth.
OBJECTIVES: We developed intrauterine growth references, called EPOPé curves, in line with recommendations for screening of intra-uterine growth restriction issued in 2013 by the French College of Obstetricians and Gynecologists. POPULATION AND METHODS: Using the French Perinatal Survey (FPS) 2010, we adapted the methodology developed by Gardosi (1) to model intrauterine growth and its distribution and (2) to adjust for physiological fetal and maternal factors influencing fetal weight. Based on this model, 3 reference curves (unadjusted, adjusted for fetal sex, and adjusted for fetal sex, and maternal height, weight and parity) were proposed. We applied these models to births in the 2010 FPS and the French hospital discharge database (PMSI) in 2011-2012. RESULTS: Among singleton live births in the FPS and the PMSI, the model adjusted for fetal sex identified 3.2 and 3.3% of births below the 3rd centile respectively, and 10.0 and 10.2% below the 10th. In model adjusted for maternal factors, 4.0% of births from the FPS 2010 were reclassified, but population rates remained at 3.0 and 10.0%. CONCLUSION: This growth model is appropriate for French births, and allows for the implementation of a homogeneous definition of small for gestational age infants during pregnancy and at birth.
Keywords:
Ajustement; Birthweight; Courbes de croissance in utero; Customisation; Fetal growth restriction; Intrauterine growth curves; Petit poids pour l’âge gestationnel; Poids de naissance; Retard de croissance intra-utérin; Small for gestational age
Authors: Urszula Nowacka; Katarzyna Kosińska-Kaczyńska; Paweł Krajewski; Aleksandra Saletra-Bielińska; Izabela Walasik; Iwona Szymusik Journal: Int J Environ Res Public Health Date: 2021-02-19 Impact factor: 3.390