Robert D Cartwright1, Ngaire H Anderson2,3, Lynn C Sadler3,4,5, Jane E Harding1, Lesley M E McCowan3,4, Christopher J D McKinlay6,7,8. 1. Liggins Institute, University of Auckland, Auckland, New Zealand. 2. Waitemata District Health Board, Auckland, New Zealand. 3. Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand. 4. National Women's Health, Auckland City Hospital, Auckland, New Zealand. 5. Department of Epidemiology and Biostatistics, University of Auckland, Auckland, New Zealand. 6. Liggins Institute, University of Auckland, Auckland, New Zealand. c.mckinlay@auckland.ac.nz. 7. Department of Paediatrics: Child and Youth Health, University of Auckland, Auckland, New Zealand. c.mckinlay@auckland.ac.nz. 8. Kidz First Neonatal Care, Counties Manukau Health, Auckland, New Zealand. c.mckinlay@auckland.ac.nz.
Abstract
OBJECTIVE: To compare rates of small- and large-for-gestational age (SGA and LGA) neonates using four different weight centiles, and to relate these classifications to neonatal morbidity. STUDY DESIGN: Neonates born at 33-40 weeks' gestation in a multiethnic population were classified as SGA or LGA by population reference (Fenton), population standard (INTERGROWTH), fetal growth curves (WHO), and customized (GROW) centiles. Likelihood of composite morbidity was determined compared with a common appropriate-for-gestational age referent group. RESULT: Among 45,505 neonates, SGA and LGA rates varied up to threefold by different centiles. Those most likely to develop neonatal morbidity were SGA or LGA on both the population reference and an alternative centile. Customized centiles identified over twice as many at-risk SGA neonates. CONCLUSIONS: Customized centiles were most useful in identifying neonates at increased risk of morbidity, and those that were small on both customized and population reference centiles were at the highest risk.
OBJECTIVE: To compare rates of small- and large-for-gestational age (SGA and LGA) neonates using four different weight centiles, and to relate these classifications to neonatal morbidity. STUDY DESIGN: Neonates born at 33-40 weeks' gestation in a multiethnic population were classified as SGA or LGA by population reference (Fenton), population standard (INTERGROWTH), fetal growth curves (WHO), and customized (GROW) centiles. Likelihood of composite morbidity was determined compared with a common appropriate-for-gestational age referent group. RESULT: Among 45,505 neonates, SGA and LGA rates varied up to threefold by different centiles. Those most likely to develop neonatal morbidity were SGA or LGA on both the population reference and an alternative centile. Customized centiles identified over twice as many at-risk SGA neonates. CONCLUSIONS: Customized centiles were most useful in identifying neonates at increased risk of morbidity, and those that were small on both customized and population reference centiles were at the highest risk.
Authors: Jeffrey D Horbar; Joseph H Carpenter; Gary J Badger; Michael J Kenny; Roger F Soll; Kate A Morrow; Jeffrey S Buzas Journal: Pediatrics Date: 2012-05-21 Impact factor: 7.124
Authors: Dharmintra Pasupathy; Lesley M E McCowan; Lucilla Poston; Louise C Kenny; Gus A Dekker; Robyn A North Journal: Paediatr Perinat Epidemiol Date: 2012-11 Impact factor: 3.980
Authors: Aris T Papageorghiou; Eric O Ohuma; Douglas G Altman; Tullia Todros; Leila Cheikh Ismail; Ann Lambert; Yasmin A Jaffer; Enrico Bertino; Michael G Gravett; Manorama Purwar; J Alison Noble; Ruyan Pang; Cesar G Victora; Fernando C Barros; Maria Carvalho; Laurent J Salomon; Zulfiqar A Bhutta; Stephen H Kennedy; José Villar Journal: Lancet Date: 2014-09-06 Impact factor: 79.321
Authors: Reremoana F Theodore; Jonathan Broadbent; Daniel Nagin; Antony Ambler; Sean Hogan; Sandhya Ramrakha; Wayne Cutfield; Michael J A Williams; HonaLee Harrington; Terrie E Moffitt; Avshalom Caspi; Barry Milne; Richie Poulton Journal: Hypertension Date: 2015-10-05 Impact factor: 10.190
Authors: Valentina Chiavaroli; Maria Loredana Marcovecchio; Tommaso de Giorgis; Laura Diesse; Francesco Chiarelli; Angelika Mohn Journal: PLoS One Date: 2014-08-12 Impact factor: 3.240
Authors: Torvid Kiserud; Gilda Piaggio; Guillermo Carroli; Mariana Widmer; José Carvalho; Lisa Neerup Jensen; Daniel Giordano; José Guilherme Cecatti; Hany Abdel Aleem; Sameera A Talegawkar; Alexandra Benachi; Anke Diemert; Antoinette Tshefu Kitoto; Jadsada Thinkhamrop; Pisake Lumbiganon; Ann Tabor; Alka Kriplani; Rogelio Gonzalez Perez; Kurt Hecher; Mark A Hanson; A Metin Gülmezoglu; Lawrence D Platt Journal: PLoS Med Date: 2017-01-24 Impact factor: 11.069
Authors: Rafael B Galvão; Renato T Souza; Matias C Vieira; Dharmintra Pasupathy; Jussara Mayrink; Francisco E Feitosa; Edilberto A Rocha Filho; Débora F Leite; Janete Vettorazzi; Iracema M Calderon; Maria H Sousa; Jose G Cecatti Journal: BMC Pregnancy Childbirth Date: 2022-08-04 Impact factor: 3.105