N H Anderson1, L C Sadler, A W Stewart, L M E McCowan. 1. Department of Obstetrics and Gynaecology, Faculty of Medical and Health Sciences, University of Auckland, New Zealand. ngaire.anderson@auckland.ac.nz
Abstract
OBJECTIVE: To regenerate coefficients for the New Zealand customised birthweight centile calculator using an updated birth cohort, and compare the identification of at-risk small-for-gestational-age (SGA) infants between full customisation (including maternal characteristics) and an ultrasound-based fetal weight and infant gender partial customisation. DESIGN: Retrospective cohort study of prospectively collected maternity data. SETTING: National Women's Health Auckland, New Zealand. POPULATION: Singleton pregnancies in the period 2006-2009; n = 24,176. METHODS: Multiple linear regression analysis was performed for full customisation (adjusted for gestation, infant gender, maternal characteristics and pathological variables) and ultrasound-and-gender customisation (adjusted for gestation and infant gender). MAIN OUTCOME MEASURES: Risks of SGA-related perinatal death were compared between models. RESULTS: Changes occurred in some ethnicity coefficients, including Chinese (-135 g), Tongan (-101 g) and Samoan (-89 g), and ten ethnicities were added. Overall, full customisation identified SGA infants with higher odds of perinatal death (OR 5.6, 95% CI 3.6-8.7) than infants classed as SGA by ultrasound-and-gender customisation (OR 2.1, 95% CI 1.4-3.3) (P = 0.02). In subgroup analyses, infants classed as SGA by full but not ultrasound-and-gender customisation (n = 888, 3.4%) had an increased risk of perinatal death (RR 4.7, 95% CI 2.7-7.9); however, those identified as SGA by ultrasound-and-gender customisation alone were not at an increased risk (n = 676, 2.6%, RR 1.1, 95% CI 0.4-3.6). The population attributable risk (PAR) of SGA-related perinatal death was higher for full (49.8%) than for ultrasound-and-gender (43.0%) customisation. CONCLUSIONS: Updating the New Zealand customised birthweight centile calculator resulted in revised coefficients that better reflect a contemporary birth cohort. Inclusion of maternal characteristics in a birthweight customisation model increases the detection of SGA infants at risk of perinatal death.
OBJECTIVE: To regenerate coefficients for the New Zealand customised birthweight centile calculator using an updated birth cohort, and compare the identification of at-risk small-for-gestational-age (SGA) infants between full customisation (including maternal characteristics) and an ultrasound-based fetal weight and infant gender partial customisation. DESIGN: Retrospective cohort study of prospectively collected maternity data. SETTING: National Women's Health Auckland, New Zealand. POPULATION: Singleton pregnancies in the period 2006-2009; n = 24,176. METHODS: Multiple linear regression analysis was performed for full customisation (adjusted for gestation, infant gender, maternal characteristics and pathological variables) and ultrasound-and-gender customisation (adjusted for gestation and infant gender). MAIN OUTCOME MEASURES: Risks of SGA-related perinatal death were compared between models. RESULTS: Changes occurred in some ethnicity coefficients, including Chinese (-135 g), Tongan (-101 g) and Samoan (-89 g), and ten ethnicities were added. Overall, full customisation identified SGA infants with higher odds of perinatal death (OR 5.6, 95% CI 3.6-8.7) than infants classed as SGA by ultrasound-and-gender customisation (OR 2.1, 95% CI 1.4-3.3) (P = 0.02). In subgroup analyses, infants classed as SGA by full but not ultrasound-and-gender customisation (n = 888, 3.4%) had an increased risk of perinatal death (RR 4.7, 95% CI 2.7-7.9); however, those identified as SGA by ultrasound-and-gender customisation alone were not at an increased risk (n = 676, 2.6%, RR 1.1, 95% CI 0.4-3.6). The population attributable risk (PAR) of SGA-related perinatal death was higher for full (49.8%) than for ultrasound-and-gender (43.0%) customisation. CONCLUSIONS: Updating the New Zealand customised birthweight centile calculator resulted in revised coefficients that better reflect a contemporary birth cohort. Inclusion of maternal characteristics in a birthweight customisation model increases the detection of SGA infants at risk of perinatal death.
Authors: Robert D Cartwright; Ngaire H Anderson; Lynn C Sadler; Jane E Harding; Lesley M E McCowan; Christopher J D McKinlay Journal: J Perinatol Date: 2020-02-20 Impact factor: 2.521
Authors: Stefanie N Hinkle; Paul S Albert; Pauline Mendola; Lindsey A Sjaarda; Edwina Yeung; Nansi S Boghossian; S Katherine Laughon Journal: Paediatr Perinat Epidemiol Date: 2013-12-09 Impact factor: 3.980
Authors: Lynn C Sadler; Judith McAra-Couper; Deborah Pittam; Michelle R Wise; John M D Thompson Journal: BMJ Open Date: 2018-04-07 Impact factor: 2.692
Authors: Lesley M E McCowan; John M D Thompson; Robin S Cronin; Minglan Li; Tomasina Stacey; Peter R Stone; Beverley A Lawton; Alec J Ekeroma; Edwin A Mitchell Journal: PLoS One Date: 2017-06-13 Impact factor: 3.240
Authors: Billie F Bradford; Robin S Cronin; Christopher J D McKinlay; John M D Thompson; Edwin A Mitchell; Peter R Stone; Lesley M E McCowan Journal: PLoS One Date: 2019-06-12 Impact factor: 3.240
Authors: Matias C Vieira; Sophie Relph; Andrew Copas; Andrew Healey; Kirstie Coxon; Alessandro Alagna; Annette Briley; Mark Johnson; Deborah A Lawlor; Christoph Lees; Neil Marlow; Lesley McCowan; Louise Page; Donald Peebles; Andrew Shennan; Baskaran Thilaganathan; Asma Khalil; Jane Sandall; Dharmintra Pasupathy Journal: Trials Date: 2019-03-04 Impact factor: 2.279
Authors: Claire L Meek; Rosa Corcoy; Elizabeth Asztalos; Laura C Kusinski; Esther López; Denice S Feig; Helen R Murphy Journal: BMC Pregnancy Childbirth Date: 2021-01-29 Impact factor: 3.007
Authors: Alison M Fung; Danielle L Wilson; Martha Lappas; Mark Howard; Maree Barnes; Fergal O'Donoghue; Stephen Tong; Helen Esdale; Gabrielle Fleming; Susan P Walker Journal: PLoS One Date: 2013-07-24 Impact factor: 3.240