Development and validation of a postpartum cardiovascular disease risk prediction model in women incorporating reproductive and pregnancy-related predictors

The updated risk prediction models resulted in marginal improvement in discrimination and calibration compared to QRISK®-3 in postpartum women. This could be due to the known association of pregnancy-related complications with established risk factors of CVD. Although the overall predictive performance and calibration of the updated models was similar, the updated model resulted in better clinical utility.

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Publication Details

Journal
BMC Medicine
Published
2025-08-29
DOI
https://doi.org/10.1186/s12916-025-04229-1
Citations
2
Primary Topic
Pregnancy and preeclampsia studies
Type
article
Field-Weighted Citation Impact
4.11
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article

Development and validation of a postpartum cardiovascular disease risk prediction model in women incorporating reproductive and pregnancy-related predictors

Colin McCowan, Dermot O’Reilly, Krishnarajah Nirantharakumar, Shakila Thangaratinam et al.
2 citations
BMC Medicine
Pregnancy and preeclampsia studies
4.11
article

Development and validation of a postpartum cardiovascular disease risk prediction model in women incorporating reproductive and pregnancy-related predictors

Colin McCowan, Dermot O’Reilly, Krishnarajah Nirantharakumar, Shakila Thangaratinam, Richard D Riley, Steven Wambua, Kym I E Snell, Christopher Yau, Francesca L. Crowe, Sinéad Brophy
article en
2 citations

Abstract

The updated risk prediction models resulted in marginal improvement in discrimination and calibration compared to QRISK®-3 in postpartum women. This could be due to the known association of pregnancy-related complications with established risk factors of CVD. Although the overall predictive performance and calibration of the updated models was similar, the updated model resulted in better clinical utility.

BMC MedicineVol. 23(1)
Queen's University Belfast (GB), University of St Andrews (GB), John Radcliffe Hospital (GB), Swansea University (GB), University of Oxford (GB), Birmingham Women's Hospital (GB), Health Data Research UK (GB), Birmingham Women’s and Children’s NHS Foundation Trust (GB), NIHR Birmingham Biomedical Research Centre (GB), University of Birmingham (GB)
Openalex Percentile: Top 6%
Pregnancy and preeclampsia studies
4.11
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