T Rousseau1, C Ferdynus, C Quantin, J-B Gouyon, P Sagot. 1. Service de gynécologie-obstétrique, médecine foetale et reproduction humaine, CHU de Dijon, 10, boulevard du Maréchal-de-Lattre-de-Tassigny, Dijon cedex, France. thierry.rousseau@chu-dijon.fr
Abstract
OBJECTIVES: To build a reference chart for birth weight according to gestational age based on a newborn population from single uncomplicated pregnancies. MATERIALS AND METHODS: We have used data from the Burgundy perinatal network for the years 2000 to 2005. We can exclude, with a validate linkage procedure of all mother-newborn couples, the whole of newborns from pregnancies complicated by mellitus diabetes or pre eclampsia. After statistical validation, the birth weights were modelled and graphically represented. RESULTS: We have used 105,665 data from the "healthy" sample to construct a birth weight distribution according to gestational age at 28 to 42 weeks'. Results are also represented adjusted for sex. CONCLUSION: We present an original birth weight distribution according to gestational age from a recent French population sample. Exclusion of maternal conditions which may affect fetal growth modify the data distribution, mainly for low birth weights and premature deliveries. Used in clinical practice, it could lead to better identify newborns with increased risk of postnatal complications.
OBJECTIVES: To build a reference chart for birth weight according to gestational age based on a newborn population from single uncomplicated pregnancies. MATERIALS AND METHODS: We have used data from the Burgundy perinatal network for the years 2000 to 2005. We can exclude, with a validate linkage procedure of all mother-newborn couples, the whole of newborns from pregnancies complicated by mellitus diabetes or pre eclampsia. After statistical validation, the birth weights were modelled and graphically represented. RESULTS: We have used 105,665 data from the "healthy" sample to construct a birth weight distribution according to gestational age at 28 to 42 weeks'. Results are also represented adjusted for sex. CONCLUSION: We present an original birth weight distribution according to gestational age from a recent French population sample. Exclusion of maternal conditions which may affect fetal growth modify the data distribution, mainly for low birth weights and premature deliveries. Used in clinical practice, it could lead to better identify newborns with increased risk of postnatal complications.
Authors: Cécile Choux; Paolo Petazzi; Marta Sanchez-Delgado; José R Hernandez Mora; Ana Monteagudo; Paul Sagot; David Monk; Patricia Fauque Journal: Epigenetics Date: 2020-06-23 Impact factor: 4.528
Authors: Elizabeth Milne; Kathryn R Greenop; Catherine Metayer; Joachim Schüz; Eleni Petridou; Maria S Pombo-de-Oliveira; Claire Infante-Rivard; Eve Roman; John D Dockerty; Logan G Spector; Sérgio Koifman; Laurent Orsi; Jérémie Rudant; Nick Dessypris; Jill Simpson; Tracy Lightfoot; Peter Kaatsch; Margarita Baka; Alessandra Faro; Bruce K Armstrong; Jacqueline Clavel; Patricia A Buffler Journal: Int J Cancer Date: 2013-08-01 Impact factor: 7.396
Authors: Neimar de Paula Silva; Rejane de Souza Reis; Rafael Garcia Cunha; Julio Fernando Oliveira; Fernanda Cristina da Silva de Lima; Maria Socorro Pombo-de-Oliveira; Marceli Oliveira Santos; Beatriz de Camargo Journal: Rev Panam Salud Publica Date: 2017-04-20