External validation of prognostic models predicting pre-eclampsia: individual participant data meta-analysis.

ABSTRACT:

Background

Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Early identification of women at risk during pregnancy is required to plan management. Although there are many published prediction models for pre-eclampsia, few have been validated in external data. Our objective was to externally validate published prediction models for pre-eclampsia using individual participant data (IPD) from UK studies, to evaluate whether any of the models can accurately predict the condition when used within the UK healthcare setting.

Methods

IPD from 11 UK cohort studies (217,415 pregnant women) within the International Prediction of Pregnancy Complications (IPPIC) pre-eclampsia network contributed to external validation of published prediction models, iden

SUBMITTER: Snell KIE 

PROVIDER: S-EPMC7604970 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature