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Opportunities and Challenges of Prognostic Models for Extremely Preterm Infants

  • Angret de Boer*
  • , Pauline E. van Beek
  • , Peter Andriessen
  • , Floris Groenendaal
  • , Marije Hogeveen
  • , Julia S. Meijer
  • , Sylvia A. Obermann-Borst
  • , Wes Onland
  • , Liesbeth Scheepers
  • , Marijn J. Vermeulen
  • , E. J.T. Verweij
  • , Lien De Proost
  • , Rosa Geurtzen
  • *Corresponding author for this work
  • Radboud University Medical Center
  • Leiden University Medical Centre
  • Maxima Medical Centre
  • Utrecht University
  • University of Amsterdam
  • Amsterdam UMC
  • Maastricht University

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)
79 Downloads (Pure)

Abstract

Predicting the short- and long-term outcomes of extremely preterm infants remains a challenge. Multivariable prognostic models might be valuable tools for clinicians, parents, and policymakers for providing accurate outcome estimates. In this perspective, we discuss the opportunities and challenges of using prognostic models in extremely preterm infants at population and individual levels. At a population level, these models could support the development of guidelines for decisions about treatment limits and may support policy processes such as benchmarking and resource allocation. At an individual level, these models may enhance prenatal counselling conversations by considering multiple variables and improving transparency about expected outcomes. Furthermore, they may improve consistency in projections shared with parents. For the development of prognostic models, we discuss important considerations such as predictor and outcome measure selection, clinical impact assessment, and generalizability. Lastly, future recommendations for developing and using prognostic models are suggested. Importantly, the purpose of a prognostic model should be clearly defined, and integrating these models into prenatal counselling requires thoughtful consideration.

Original languageEnglish
Article number1712
Number of pages11
JournalChildren
Volume10
Issue number10
DOIs
Publication statusPublished - Oct 2023

Bibliographical note

Publisher Copyright:
© 2023 by the authors.

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