External validation of prognostic models for preeclampsia in a Dutch multicenter prospective cohort

• Main Authors: Marije Lamain-de Ruiter (Author), Anneke Kwee (Author), Christiana A. Naaktgeboren (Author), Rebecca D. Louhanepessy (Author), Inge De Groot (Author), Inge M. Evers (Author), Floris Groenendaal (Author), Yolanda R. Hering (Author), Anjoke J. M. Huisjes (Author), Cornel Kirpestein (Author), Wilma M. Monincx (Author), Peter C. J. I. Schielen (Author), Annewil Van 'T Zelfde (Author), Charlotte M. Van Oirschot (Author), Simone A. Vankan-Buitelaar (Author), Mariska A. A. W. Vonk (Author), Therese A. Wiegers (Author), Joost J. Zwart (Author), Karel G. M. Moons (Author), Arie Franx (Author), Maria P. H. Koster (Author)
• Format: Book
• Published: Taylor & Francis Group, 2019-04-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Summary

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.

Item Description

1064-1955
1525-6065
10.1080/10641955.2019.1584210