Publication: Accuracy of competing-risks model in screening for pre-eclampsia by maternal factors and biomarkers at 11-13 weeks' gestation.
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2017-05-14
Authors
O'Gorman, N
Wright, D
Poon, L C
Rolnik, D L
Syngelaki, A
Wright, A
Akolekar, R
Cicero, S
Janga, D
Jani, J
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Abstract
To examine the diagnostic accuracy of a previously developed model for prediction of pre-eclampsia (PE) by a combination of maternal factors and biomarkers at 11-13 weeks' gestation. This was a prospective first-trimester multicenter study of screening for PE in 8775 singleton pregnancies. A previously published algorithm was used for the calculation of patient-specific risk of PE in each individual. The detection rates (DRs) and false-positive rates (FPRs) for delivery with PE In the study population, 239 (2.7%) cases developed PE, of which 17 (0.2%), 59 (0.7%) and 180 (2.1%) developed PE Assessment of a combination of maternal factors and biomarkers at 11-13 weeks provides effective first-trimester screening for preterm PE. Copyright © 2017 ISUOG. Published by John Wiley & Sons Ltd.
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MeSH Terms
Adult
Biomarkers
Europe
Female
Gestational Age
Humans
Models, Theoretical
Placenta Growth Factor
Pre-Eclampsia
Pregnancy
Pregnancy Trimester, First
Prenatal Diagnosis
Prospective Studies
Pulsatile Flow
Risk Assessment
Sensitivity and Specificity
Uterine Artery
Biomarkers
Europe
Female
Gestational Age
Humans
Models, Theoretical
Placenta Growth Factor
Pre-Eclampsia
Pregnancy
Pregnancy Trimester, First
Prenatal Diagnosis
Prospective Studies
Pulsatile Flow
Risk Assessment
Sensitivity and Specificity
Uterine Artery
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Keywords
Bayes' theorem, first-trimester screening, mean arterial pressure, placental growth factor, pre-eclampsia, pregnancy-associated plasma protein-A, pyramid of pregnancy care, survival model, uterine artery Doppler