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Opportunities and Challenges of Prognostic Models for Extremely Preterm Infants

Authors :
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
Source :
Children, Vol 10, Iss 10, p 1712 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

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.

Details

Language :
English
ISSN :
22279067
Volume :
10
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Children
Publication Type :
Academic Journal
Accession number :
edsdoj.05535858893457c94099c3deb3967a8
Document Type :
article
Full Text :
https://doi.org/10.3390/children10101712