Children (Oct 2023)

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 (H. C. J.) Scheepers,
  • Marijn J. Vermeulen,
  • E. J. T. (Joanne) Verweij,
  • Lien De Proost,
  • Rosa Geurtzen

DOI
https://doi.org/10.3390/children10101712
Journal volume & issue
Vol. 10, no. 10
p. 1712

Abstract

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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.

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