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Updated: Jan 27, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
External validation of prognostic models for preeclampsia in a Dutch multicenter prospective cohort
Marije Lamain-de Ruiter1, Anneke Kwee1, Christiana A Naaktgeboren2
1a Department of Obstetrics, Division Woman and Baby , University Medical Center Utrecht, Utrecht University , Utrecht , The Netherlands.
Objective:
To perform an external validation of all published prognostic models for first-trimester prediction of the risk of developing preeclampsia (PE).
Methods:
Women <14 weeks of pregnancy were recruited in the Netherlands. All systematically identified prognostic models for PE that contained predictors commonly available were eligible for external validation.
Results:
3,736 women were included; 87 (2.3%) developed PE. Calibration was poor due to overestimation. Discrimination of 9 models for LO-PE ranged from 0.58 to 0.71 and of 9 models for all PE from 0.55 to 0.75.
Conclusion:
Only a few easily applicable prognostic models for all PE showed discrimination above 0.70, which is considered an acceptable performance.
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