Validation — 871–2,962 Aim: To evaluate the performance of One early PE prediction algorithm Two of the studies () study published first-trimester prediction performed better than in the original included in this review (; ) algorithms for pre-eclampsia (PE) in a publication (80% detection rate (DR) were included in this prospectively enrolled cohort of of early PE for 10% false-positive rate validation study and found women. (FPR)); the remaining five prediction to underperform. algorithms underperformed (29-53% Methods: A MEDLINE search identified DR). Prediction algorithms for late PE first-trimester screening-prediction also underperformed (18-31% DR, 10% algorithms for early-onset (requiring FPR). Applying the screening cut-offs delivery < 34 weeks) and late-onset based on the highest Youden index (requiring delivery > 34 weeks) PE. probability scores correctly detected Maternal variables, ultrasound 40-80% of women developing early PE parameters and biomarkers were and 71-82% who developed late PE. determined prospectively in singleton Exclusion of patients on first-trimester pregnancies enrolled between 9 and aspirin resulted in DRs of 40-83% and 14 weeks. Prediction algorithms were 65-82% for early and late PE, applied to this population to calculate respectively. predicted probabilities for PE. The performance of the prediction algorithms was compared with that in the original publication and evaluated for factors explaining differences in prediction.
() Validation study — 871–2,962 Aim: To evaluate the performance of published first-trimester prediction algorithms for pre-eclampsia (PE) in a prospectively enrolled cohort of women. Methods: A MEDLINE search identified first-trimester screening-prediction algorithms for early-onset (requiring delivery < 34 weeks) and late-onset (requiring delivery > 34 weeks) PE. Maternal variables, ultrasound parameters and biomarkers were determined prospectively in singleton pregnancies enrolled between 9 and 14 weeks. Prediction algorithms were applied to this population to calculate predicted probabilities for PE. The performance of the prediction algorithms was compared with that in the original publication and evaluated for factors explaining differences in prediction. One early PE prediction algorithm performed better than in the original publication (80% detection rate (DR) of early PE for 10% false-positive rate (FPR)); the remaining five prediction algorithms underperformed (29-53% DR). Prediction algorithms for late PE also underperformed (18-31% DR, 10% FPR). Applying the screening cut-offs based on the highest Youden index probability scores correctly detected 40-80% of women developing early PE and 71-82% who developed late PE. Exclusion of patients on first-trimester aspirin resulted in DRs of 40-83% and 65-82% for early and late PE, respectively. Two of the studies included in this review (; ) were included in this validation study and found to underperform.
Preeclampsia%20evaluation%20report%2016May17.docx