ArticleScientific reports2020
Validation of a prognostic model for adverse perinatal health outcomes.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 4 citations in OpenAlex.
- Improving Effective Prenatal Care for New Obstetric Patients Using a Standardized Intake Template and Pregnancy Risk Calculator.Global journal on quality and safety in healthcare · 2026Article
- 3D computed tomography airway geometry for predicting bronchoscopic accessibility in peripheral pulmonary nodules: a prospective study.Translational lung cancer research · 2026Article
- Joint Modeling of Birth Outcomes Using a Copula Distributional Regression Approach.Health economics · 2026Article
- Family physicians' perspectives on advising patients on an obstetric delivery location: Study from a remote community.Canadian family physician Medecin de famille canadien · 2025Article
- Prediction of unplanned cesarean section using measurable maternal and fetal characteristics, Ethiopia, a retrospective cohort study.BMC pregnancy and childbirth · 2024Article
- Development and validation of a risk score to predict adverse birth outcomes using maternal characteristics in northwest Ethiopia: a retrospective follow-up study.Frontiers in global women's health · 2024Article
- A Radiomics Model for Predicting Early Recurrence in Grade II Gliomas Based on Preoperative Multiparametric Magnetic Resonance Imaging.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a strong association between social deprivation and adverse perinatal health outcomes, but related risk factors receive little attention in current antenatal risk selection. To increase awareness of healthcare professionals for these risk factors, a model for antenatal risk surveillance and care was developed in The Netherlands, called the 'Rotterdam Reproductive Risk Reduction' (R4U) scorecard. The aim of this study was to validate the R4U-scorecard. This study was conducted using external, prospective data from thirty-two midwifery practices, and fifteen hospitals in The Netherlands. The main outcome measures were the discrimination of the prognostic models for the probability of a pregnant woman developing adverse pregnancy outcomes (babies born preterm or small for gestational age), and calibration. We performed cross-validation and updated the model using statistical re-estimation of all predictors. 1752 participants were included, of whom 282 (16%) had one of the predefined adverse outcomes. The discriminative value of the original scoring system was poor [area under the curve (AUC) of 0.58 (95% CI 0.53-0.64)]. The model showed moderate calibration. The updated R4U-scorecard showed good generalisability to the validation set but did not alter the predictive value [AUC 0.61 (95% CI 0.56-0.66)]. By using external data and by updating the prognostic model, we have provided a comprehensive evaluation of the R4U-scorecard. Further improvement in classification of high-risk pregnancies is important considering the necessity of early risk detection for healthcare professionals to take appropriate actions to prevent these risks from becoming manifest problems.
Indexed as
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32647224PMC7347528W3040721536What OpenQuestion holds
Registered trials
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