Continuous Risk Assessment of Late and Term Preeclampsia Throughout Pregnancy : A Retrospective Cohort Study
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Abstract
Preeclampsia is a serious pregnancy complication affecting between 2 to 5% of pregnancies, significantly increasing health risks for both mother and baby. Traditionally, biomarkers measured in the first trimester are used to predict the risk of preeclampsia, performing well in detecting preeclampsia happening early in pregnancy, but only identify around 40–50% of cases that develop later. This study evaluates whether incorporating repeated biomarker measurements throughout pregnancy improves the detection of preeclampsia. Using data from almost 5000 pregnancies, we developed a model that integrates these routinely measured biomarkers taking all the measures into account at the same time. The addition of repeated measures improved prediction accuracy from 50% at the start of pregnancy to approximately 84% by the end. This allows for a better, more personalized approach to monitoring each pregnancy.




