TY - JOUR
T1 - Opportunities and Challenges of Prognostic Models for Extremely Preterm Infants
AU - de Boer, Angret
AU - van Beek, Pauline E.
AU - Andriessen, Peter
AU - Groenendaal, Floris
AU - Hogeveen, Marije
AU - Meijer, Julia S.
AU - Obermann-Borst, Sylvia A.
AU - Onland, Wes
AU - Scheepers, Liesbeth
AU - Vermeulen, Marijn J.
AU - Verweij, E. J.T.
AU - De Proost, Lien
AU - Geurtzen, Rosa
N1 - Funding Information:
On initiation of the (guest) editors, open access publication costs were covered by Nestlé Nutrition GmbH Germany and Fritz Stephan GmbH Germany. Neither sponsor had a role in the design, execution, or writing of the manuscript.
Publisher Copyright:
© 2023 by the authors.
PY - 2023/10/1
Y1 - 2023/10/1
N2 - 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.
AB - 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.
KW - decision making
KW - extremely preterm infant
KW - prognostic models
U2 - 10.3390/children10101712
DO - 10.3390/children10101712
M3 - Article
SN - 2227-9067
VL - 10
JO - Children-Basel
JF - Children-Basel
IS - 10
M1 - 1712
ER -