Cargando…

Opportunities and Challenges of Prognostic Models for Extremely Preterm Infants

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...

Descripción completa

Detalles Bibliográficos
Autores principales: de Boer, Angret, van Beek, Pauline E., Andriessen, Peter, Groenendaal, Floris, Hogeveen, Marije, Meijer, Julia S., Obermann-Borst, Sylvia A., Onland, Wes, Scheepers, Liesbeth (H. C. J.), Vermeulen, Marijn J., Verweij, E. J. T. (Joanne), De Proost, Lien, Geurtzen, Rosa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605480/
https://www.ncbi.nlm.nih.gov/pubmed/37892375
http://dx.doi.org/10.3390/children10101712
_version_ 1785127084535840768
author de Boer, Angret
van Beek, Pauline E.
Andriessen, Peter
Groenendaal, Floris
Hogeveen, Marije
Meijer, Julia S.
Obermann-Borst, Sylvia A.
Onland, Wes
Scheepers, Liesbeth (H. C. J.)
Vermeulen, Marijn J.
Verweij, E. J. T. (Joanne)
De Proost, Lien
Geurtzen, Rosa
author_facet de Boer, Angret
van Beek, Pauline E.
Andriessen, Peter
Groenendaal, Floris
Hogeveen, Marije
Meijer, Julia S.
Obermann-Borst, Sylvia A.
Onland, Wes
Scheepers, Liesbeth (H. C. J.)
Vermeulen, Marijn J.
Verweij, E. J. T. (Joanne)
De Proost, Lien
Geurtzen, Rosa
author_sort de Boer, Angret
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10605480
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-106054802023-10-28 Opportunities and Challenges of Prognostic Models for Extremely Preterm Infants de Boer, Angret van Beek, Pauline E. Andriessen, Peter Groenendaal, Floris Hogeveen, Marije Meijer, Julia S. Obermann-Borst, Sylvia A. Onland, Wes Scheepers, Liesbeth (H. C. J.) Vermeulen, Marijn J. Verweij, E. J. T. (Joanne) De Proost, Lien Geurtzen, Rosa Children (Basel) Perspective 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. MDPI 2023-10-21 /pmc/articles/PMC10605480/ /pubmed/37892375 http://dx.doi.org/10.3390/children10101712 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Perspective
de Boer, Angret
van Beek, Pauline E.
Andriessen, Peter
Groenendaal, Floris
Hogeveen, Marije
Meijer, Julia S.
Obermann-Borst, Sylvia A.
Onland, Wes
Scheepers, Liesbeth (H. C. J.)
Vermeulen, Marijn J.
Verweij, E. J. T. (Joanne)
De Proost, Lien
Geurtzen, Rosa
Opportunities and Challenges of Prognostic Models for Extremely Preterm Infants
title Opportunities and Challenges of Prognostic Models for Extremely Preterm Infants
title_full Opportunities and Challenges of Prognostic Models for Extremely Preterm Infants
title_fullStr Opportunities and Challenges of Prognostic Models for Extremely Preterm Infants
title_full_unstemmed Opportunities and Challenges of Prognostic Models for Extremely Preterm Infants
title_short Opportunities and Challenges of Prognostic Models for Extremely Preterm Infants
title_sort opportunities and challenges of prognostic models for extremely preterm infants
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605480/
https://www.ncbi.nlm.nih.gov/pubmed/37892375
http://dx.doi.org/10.3390/children10101712
work_keys_str_mv AT deboerangret opportunitiesandchallengesofprognosticmodelsforextremelypreterminfants
AT vanbeekpaulinee opportunitiesandchallengesofprognosticmodelsforextremelypreterminfants
AT andriessenpeter opportunitiesandchallengesofprognosticmodelsforextremelypreterminfants
AT groenendaalfloris opportunitiesandchallengesofprognosticmodelsforextremelypreterminfants
AT hogeveenmarije opportunitiesandchallengesofprognosticmodelsforextremelypreterminfants
AT meijerjulias opportunitiesandchallengesofprognosticmodelsforextremelypreterminfants
AT obermannborstsylviaa opportunitiesandchallengesofprognosticmodelsforextremelypreterminfants
AT onlandwes opportunitiesandchallengesofprognosticmodelsforextremelypreterminfants
AT scheepersliesbethhcj opportunitiesandchallengesofprognosticmodelsforextremelypreterminfants
AT vermeulenmarijnj opportunitiesandchallengesofprognosticmodelsforextremelypreterminfants
AT verweijejtjoanne opportunitiesandchallengesofprognosticmodelsforextremelypreterminfants
AT deproostlien opportunitiesandchallengesofprognosticmodelsforextremelypreterminfants
AT geurtzenrosa opportunitiesandchallengesofprognosticmodelsforextremelypreterminfants