Literature DB >> 29257760

Birth-weight centiles and the risk of serious adverse neonatal outcomes at term.

Joanna Yu1,2, Christopher Flatley1, Ristan M Greer1, Sailesh Kumar1,2.   

Abstract

BACKGROUND: Birth-weight is an important determinant of perinatal outcome with low birth-weight being a particular risk factor for adverse consequences. AIM: To investigate the impact of neonatal sex, mode of birth and gestational age at birth according to birth-weight centile on serious adverse neonatal outcomes in singleton term pregnancies.
MATERIALS AND METHODS: This was a retrospective cohort study of singleton term births at the Mater Mother's Hospital, Brisbane, Australia. Serious adverse neonatal outcome was defined as a composite of severe acidosis at birth (pH ≤7.0 and/or lactate ≥6 mmol/L and/or base excess ≤-12 mmol/L), Apgar <3 at 5 min, neonatal intensive-care unit admission and antepartum or neonatal death. The main exposure variable was birth-weight centile.
RESULTS: Of the 69,210 babies in our study, the overall proportion of serious adverse neonatal outcomes was 9.1% (6327/69,210). Overall, neonates in the <3rd birth-weight centile category had the highest adjusted odds ratio (OR) for serious adverse neonatal outcomes [OR 3.53, 95% confidence interval (CI) 3.06-4.07], whilst those in the ≥97th centile group also had elevated odds (OR 1.51, 95% CI 1.30-1.75). Regardless of birth modality, smaller babies in the <3rd centile group had the highest adjusted OR and predicted probability for serious adverse neonatal outcomes. When stratified by sex, male babies consistently demonstrated a higher predicted probability of serious adverse neonatal outcomes across all birth-weight centiles. The adjusted odds, when stratified by gestational age at birth, were the highest from 37+0 to 38+6 weeks in the <3rd centile group (OR 5.97, 95% CI 4.60-7.75).
CONCLUSIONS: Low and high birth-weights are risk factors for serious adverse neonatal outcomes. The adjusted OR appears to be greatest for babies in the <3rd birth-weight centile group, although an elevated risk was also found in babies within the ≥97th centile category.

Entities:  

Keywords:  Birth-weight; gestational age; mode of birth; serious adverse neonatal outcomes

Mesh:

Year:  2018        PMID: 29257760     DOI: 10.1515/jpm-2017-0176

Source DB:  PubMed          Journal:  J Perinat Med        ISSN: 0300-5577            Impact factor:   1.901


  7 in total

1.  Neonatal morbidity and small and large size for gestation: a comparison of birthweight centiles.

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

2.  Association between pre-pregnancy BMI and neonatal weight outcomes in twin pregnancies resulting from assisted reproductive technology: a 10-year cohort study.

Authors:  Pengfei Qu; Doudou Zhao; Yang Mi; Shaonong Dang; Juanzi Shi; Wenhao Shi
Journal:  Eur J Clin Nutr       Date:  2021-02-02       Impact factor: 4.016

3.  Cross-validated prediction model for severe adverse neonatal outcomes in a term, non-anomalous, singleton cohort.

Authors:  Christopher Flatley; Kristen Gibbons; Cameron Hurst; Vicki Flenady; Sailesh Kumar
Journal:  BMJ Paediatr Open       Date:  2019-03-15

4.  Accuracy of sonographic fetal weight estimation in full-term singleton pregnant women.

Authors:  Emre Erdem Tas; Edip Alptug Kir; Gamze Yilmaz; Ayse Filiz Yavuz
Journal:  Pak J Med Sci       Date:  2019 Jan-Feb       Impact factor: 1.088

5.  A composite neonatal adverse outcome indicator using population-based data: an update.

Authors:  S Todd; J Bowen; I Ibiebele; J Patterson; S Torvaldsen; F Ford; M Nippita; J Morris; D Randall
Journal:  Int J Popul Data Sci       Date:  2020-08-12

6.  Associations of severe adverse perinatal outcomes among continuous birth weight percentiles on different birth weight charts: a secondary analysis of a cluster randomized trial.

Authors:  Hester D Kamphof; Sanne J Gordijn; Wessel Ganzevoort; Viki Verfaille; Pien M Offerhaus; Arie Franx; Eva Pajkrt; Ank de Jonge; Jens Henrichs
Journal:  BMC Pregnancy Childbirth       Date:  2022-04-30       Impact factor: 3.105

7.  Artificial intelligence-assisted prediction of preeclampsia: Development and external validation of a nationwide health insurance dataset of the BPJS Kesehatan in Indonesia.

Authors:  Herdiantri Sufriyana; Yu-Wei Wu; Emily Chia-Yu Su
Journal:  EBioMedicine       Date:  2020-04-10       Impact factor: 8.143

  7 in total

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