A prediction model for short-term neonatal outcomes in severe early-onset fetal growth restriction.


Journal

European journal of obstetrics, gynecology, and reproductive biology
ISSN: 1872-7654
Titre abrégé: Eur J Obstet Gynecol Reprod Biol
Pays: Ireland
ID NLM: 0375672

Informations de publication

Date de publication:
Oct 2019
Historique:
received: 12 02 2019
revised: 11 08 2019
accepted: 15 08 2019
pubmed: 10 9 2019
medline: 29 2 2020
entrez: 10 9 2019
Statut: ppublish

Résumé

Severe early-onset fetal growth restriction (FGR) predisposes to fetal death, neonatal death, neonatal morbidity and neurodisability. The use of placental biomarkers has been proposed for risk stratification in pre-eclampsia, but they could be equally useful in fetal growth restriction in aiding management. To determine the efficacy of angiogenic biomarkers at predicting adverse pregnancy outcome in severe early-onset fetal growth restriction. This is a secondary analysis of the multicentre, placebo-controlled STRIDER UK randomised controlled trial of singleton pregnancies with severe early-onset fetal growth restriction. Women with FGR pregnancies between 22 A complete data set was available for 105 of 135 randomised women. Multivariate regression analysis identified estimated fetal weight (EFW) and sFlt-1:PlGF as independent predictors of livebirth (EFW OR: 1.01 (1.008, 1.021); p < 0.001 and lower sFlt-1:PlGF ratio OR: 0.53 (0.284, 0.994); p = 0.048) and overall survival (EFW OR: 1.01 (1.006, 1.015); p < 0.001 and lower sFlt-1/PlGF ratio OR: 0.51 (0.286, 0.904); p = 0.021). EFW was a consistent predictor for all outcomes other than gestation at delivery. sFlt-1:PlGF ratio was a consistent predictor for all outcomes other than neonatal morbidity. In severe early-onset FGR pregnancies livebirth and overall survival can be predicted using a model involving EFW and sFlt-1:PlGF ratio. This model require validation in a larger cohort but may allow informed decision making about pregnancy management, especially in previable cases.

Sections du résumé

BACKGROUND BACKGROUND
Severe early-onset fetal growth restriction (FGR) predisposes to fetal death, neonatal death, neonatal morbidity and neurodisability. The use of placental biomarkers has been proposed for risk stratification in pre-eclampsia, but they could be equally useful in fetal growth restriction in aiding management.
OBJECTIVE OBJECTIVE
To determine the efficacy of angiogenic biomarkers at predicting adverse pregnancy outcome in severe early-onset fetal growth restriction.
STUDY DESIGN METHODS
This is a secondary analysis of the multicentre, placebo-controlled STRIDER UK randomised controlled trial of singleton pregnancies with severe early-onset fetal growth restriction. Women with FGR pregnancies between 22
RESULTS RESULTS
A complete data set was available for 105 of 135 randomised women. Multivariate regression analysis identified estimated fetal weight (EFW) and sFlt-1:PlGF as independent predictors of livebirth (EFW OR: 1.01 (1.008, 1.021); p < 0.001 and lower sFlt-1:PlGF ratio OR: 0.53 (0.284, 0.994); p = 0.048) and overall survival (EFW OR: 1.01 (1.006, 1.015); p < 0.001 and lower sFlt-1/PlGF ratio OR: 0.51 (0.286, 0.904); p = 0.021). EFW was a consistent predictor for all outcomes other than gestation at delivery. sFlt-1:PlGF ratio was a consistent predictor for all outcomes other than neonatal morbidity.
CONCLUSIONS CONCLUSIONS
In severe early-onset FGR pregnancies livebirth and overall survival can be predicted using a model involving EFW and sFlt-1:PlGF ratio. This model require validation in a larger cohort but may allow informed decision making about pregnancy management, especially in previable cases.

Identifiants

pubmed: 31499415
pii: S0301-2115(19)30383-5
doi: 10.1016/j.ejogrb.2019.08.007
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Multicenter Study Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

109-118

Subventions

Organisme : Department of Health
ID : 12/62/109
Pays : United Kingdom

Informations de copyright

Copyright © 2019. Published by Elsevier B.V.

Auteurs

Andrew Sharp (A)

Department of Women's and Children's Health, University of Liverpool and The Liverpool Women's Hospital, Members of Liverpool Health Partners, United Kingdom. Electronic address: asharp@liv.ac.uk.

Richard Jackson (R)

Liverpool Clinical Trials Unit, University of Liverpool, United Kingdom.

Christine Cornforth (C)

Liverpool Clinical Trials Unit, University of Liverpool, United Kingdom.

Jane Harrold (J)

Liverpool Clinical Trials Unit, University of Liverpool, United Kingdom.

Mark A Turner (MA)

Department of Women's and Children's Health, University of Liverpool and The Liverpool Women's Hospital, Members of Liverpool Health Partners, United Kingdom.

Louise Kenny (L)

Department of Women's and Children's Health, University of Liverpool and The Liverpool Women's Hospital, Members of Liverpool Health Partners, United Kingdom.

Philip N Baker (PN)

College of Life Sciences, University of Leicester, United Kingdom.

Edward D Johnstone (ED)

Maternal & Fetal Health Research Centre, School of Medical Sciences, Faculty of Medicine Biology and Health, University of Manchester, United Kingdom.

Asma Khalil (A)

Fetal Medicine Unit, St George's Hospital, University of London, United Kingdom; Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's, University of London, Cranmer Terrace, London SW17 0RE, United Kingdom.

Peter von Dadelszen (P)

Department of Women's and Children's Health, School of Life Course Sciences, King's College London, United Kingdom.

Aris T Papageorghiou (AT)

Fetal Medicine Unit, St George's Hospital, University of London, United Kingdom; Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's, University of London, Cranmer Terrace, London SW17 0RE, United Kingdom.

Zarko Alfirevic (Z)

Department of Women's and Children's Health, University of Liverpool and The Liverpool Women's Hospital, Members of Liverpool Health Partners, United Kingdom.

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Classifications MeSH