Association between perinatal mortality and morbidity and customised and non-customised birthweight centiles in Denmark, Finland, Norway, Wales, and England: comparative, population based, record linkage study.

neonatology obstetrics perinatology

Journal

BMJ medicine
ISSN: 2754-0413
Titre abrégé: BMJ Med
Pays: England
ID NLM: 9918487584306676

Informations de publication

Date de publication:
2023
Historique:
received: 07 02 2023
accepted: 17 07 2023
medline: 4 9 2023
pubmed: 4 9 2023
entrez: 4 9 2023
Statut: epublish

Résumé

To compare the risk of adverse perinatal outcomes according to infants who are born small for gestational age (SGA; <10th centile) or large for gestational age (LGA; >90th centile), as defined by birthweight centiles that are non-customised (ie, standardised by sex and gestational age only) and customised (by sex, gestational age, maternal weight, height, parity, and ethnic group). Comparative, population based, record linkage study with meta-analysis of results. Denmark, Finland, Norway, Wales, and England (city of Bradford), 1986-2019. 2 129 782 infants born at term in birth registries. Stillbirth, neonatal death, infant death, admission to neonatal intensive care unit, and low Apgar score (<7) at 5 minutes. Relative to those infants born average for gestational age (AGA), both SGA and LGA births were at increased risk of all five outcomes, but observed relative risks were similar irrespective of whether non-customised or customised charts were used. For example, for SGA versus AGA births, when non-customised and customised charts were used, relative risks pooled over countries were 3.60 (95% confidence interval 3.29 to 3.93) versus 3.58 (3.02 to 4.24) for stillbirth, 2.83 (2.18 to 3.67) versus 3.32 (2.05 to 5.36) for neonatal death, 2.82 (2.07 to 3.83) versus 3.17 (2.20 to 4.56) for infant death, 1.66 (1.49 to 1.86) versus 1.54 (1.30 to 1.81) for low Apgar score at 5 minutes, and (based on Bradford data only) 1.97 (1.74 to 2.22) versus 1.94 (1.70 to 2.21) for admission to the neonatal intensive care unit. The estimated sensitivity of combined SGA or LGA births to identify the three mortality outcomes ranged from 31% to 34% for non-customised charts and from 34% to 38% for customised charts, with a specificity of 82% and 80% with non-customised and customised charts, respectively. These results suggest an increased risk of adverse perinatal outcomes of a similar magnitude among SGA or LGA term infants when customised and non-customised centiles are used. Use of customised charts for SGA/LGA births-over and above use of non-customised charts for SGA/LGA births-is unlikely to provide benefits in terms of identifying term births at risk of these outcomes.

Identifiants

pubmed: 37663045
doi: 10.1136/bmjmed-2023-000521
pii: bmjmed-2023-000521
pmc: PMC10471867
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e000521

Subventions

Organisme : Medical Research Council
ID : MC_UU_00011/3
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00011/6
Pays : United Kingdom

Informations de copyright

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: support from the funders listed above for the submitted work; DJT reports medicolegal work not related to this specific study; KT reports acting as an expert witness to the High Court in England, called by the UK Medicines and Healthcare products Regulatory Agency, defendants in a case on hormonal pregnancy tests and congenital anomalies 2021-22; SMN reports consulting and presenting fees from Merck, Modern Fertility, Ferring Pharmaceuticals, TFP, Roche Diagnostics, Access Fertility and payment for expert testimony from various legal practices, and participation on board for HELLP Trial and stocks or stock options for TFP.

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Auteurs

Fanny Kilpi (F)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Hayley E Jones (HE)

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Maria Christine Magnus (MC)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.

Gillian Santorelli (G)

Bradford Institute for Health Research, Bradford, UK.

Lise Kristine Højsgaard Schmidt (LK)

Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Stine Kjaer Urhoj (SK)

Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Scott M Nelson (SM)

School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK.
NIHR Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK.

Derek Tuffnell (D)

Bradford Institute for Health Research, Bradford, UK.

Robert French (R)

Cardiff University School of Medicine, Cardiff, UK.

Per Minor Magnus (PM)

Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.

Anne-Marie Nybo Andersen (AM)

Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Pekka Martikainen (P)

Population Research Unit, University of Helsinki Faculty of Social Sciences, Helsinki, Uusimaa, Finland.
Max Planck Institute for Demographic Research, Rostock, Germany.

Kate Tilling (K)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
NIHR Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK.

Deborah A Lawlor (DA)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
NIHR Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK.

Classifications MeSH