Predicting complications in hypertensive disorders of pregnancy: external validation of a prognostic model for adverse perinatal outcomes
This perinatal prediction model performed poorly in this cohort in Ghana. Possible reasons include differences in case mix, clinical management strategies, or data collection procedures between development and validation settings; suboptimal modeling strategies at development; or omission of important predictors. Given the burden of perinatal mortality and importance of risk stratification, new prediction model development and validation is recommended.
Authors
- Mary Amoakoh‐Coleman (ORCID: https://orcid.org/0000-0002-0320-0396)
- Diederick E. Grobbee (ORCID: https://orcid.org/0000-0003-4472-4468)
- Kim Luijken (ORCID: https://orcid.org/0000-0001-5192-8368)
- Kerstin Klipstein‐Grobusch (ORCID: https://orcid.org/0000-0002-5462-9889)
- Klaartje M. Olde Loohuis
- Kwame Adu‐Bonsaffoh (ORCID: https://orcid.org/0000-0002-3741-6646)
- Joyce L. Browne (ORCID: https://orcid.org/0000-0001-7048-3245)
- Emmanuel Srofenyoh (ORCID: https://orcid.org/0000-0001-8934-1896)
- Hannah Brown Amoakoh
Institutions
- University of Ghana (GH)
- University of the Witwatersrand (ZA)
- Korle Bu Teaching Hospital (GH)
- University Medical Center Utrecht (NL)
- Noguchi Memorial Institute for Medical Research (GH)
- Ghana Health Service (GH)
Publication Details
- Journal
- AJOG Global Reports
- Published
- 2025-02-16
- DOI
- https://doi.org/10.1016/j.xagr.2025.100455
- Primary Topic
- Pregnancy and preeclampsia studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Bill and Melinda Gates Foundation
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek