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Evaluation and Management of Suspected Fetal Growth Restriction.

Authors
  • Bruin, Claartje1
  • Damhuis, Stefanie2
  • Gordijn, Sanne3
  • Ganzevoort, Wessel4
  • 1 Department of Obstetrics and Gynecology, Amsterdam University Medical Centers, University of Amsterdam, Room H4-205, PO Box 22660, Amsterdam 1105 AZ, The Netherlands. Electronic address: [email protected] , (Netherlands)
  • 2 Department of Obstetrics and Gynecology, Amsterdam University Medical Centers, University of Amsterdam, Room H4-205, PO Box 22660, Amsterdam 1105 AZ, The Netherlands; Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Huispostcode CB20, Hanzeplein 1, Groningen 9700 RB, The Netherlands. , (Netherlands)
  • 3 Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Huispostcode CB20, Hanzeplein 1, Groningen 9700 RB, The Netherlands. , (Netherlands)
  • 4 Department of Obstetrics and Gynecology, Amsterdam University Medical Centers, University of Amsterdam, Room H4-205, PO Box 22660, Amsterdam 1105 AZ, The Netherlands. , (Netherlands)
Type
Published Article
Journal
Obstetrics and gynecology clinics of North America
Publication Date
Jun 01, 2021
Volume
48
Issue
2
Pages
371–385
Identifiers
DOI: 10.1016/j.ogc.2021.02.007
PMID: 33972072
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Impaired fetal growth owing to placental insufficiency is a major contributor to adverse perinatal outcomes. No intervention is available that improves outcomes by changing the pathophysiologic process. Monitoring in early-onset fetal growth restriction (FGR) focuses on optimizing the timing of iatrogenic preterm delivery using cardiotocography and Doppler ultrasound. In late-onset FGR, identifying the fetus at risk for immediate hypoxia and who benefits from expedited delivery is challenging. It is likely that studies in the next decade will provide evidence how to best integrate different monitoring variables and other prognosticators in risk models that are aimed to optimize individual treatment strategies. Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

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