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  • Midpregnancy prediction of pre-eclampsia using serum biomarkers sFlt-1 and PlGF

    Author(s)
    Black, Carin
    Al-Amin, Ahmed
    Stolarek, Caroline
    Kane, Stefan C
    Rolnik, Daniel Lorber
    White, Adrienne
    Costa, Fabricio da Silva
    Brennecke, Shaun
    Griffith University Author(s)
    Da Silva Costa, Fabricio
    Year published
    2019
    Metadata
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    Abstract
    Objectives: Pre-eclampsia remains a significant cause of morbidity and mortality. Placental biomarkers soluble Fms-like tyrosine kinase-1 (sFlt-1) and placental growth factor (PlGF) have been investigated previously for their ability to predict pre-eclampsia. We compared the performance of these biomarkers for midpregnancy pre-eclampsia prediction using three different immunoassay platforms. Study design: Prospective study including singleton pregnancies 19–22 weeks’ gestation. Maternal bloods were collected at recruitment. Screening performances using receiver operating characteristic (ROC) curves for PlGF and sFlt-1/PlGF ...
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    Objectives: Pre-eclampsia remains a significant cause of morbidity and mortality. Placental biomarkers soluble Fms-like tyrosine kinase-1 (sFlt-1) and placental growth factor (PlGF) have been investigated previously for their ability to predict pre-eclampsia. We compared the performance of these biomarkers for midpregnancy pre-eclampsia prediction using three different immunoassay platforms. Study design: Prospective study including singleton pregnancies 19–22 weeks’ gestation. Maternal bloods were collected at recruitment. Screening performances using receiver operating characteristic (ROC) curves for PlGF and sFlt-1/PlGF ratio raw data and MoM values in isolation were evaluated for three immunoassay platforms using selected cut-off values. Main outcome measures: Pre-eclampsia was defined as early-onset (<34 weeks’ at delivery) and preterm (<37 weeks’ at delivery). Results: For prediction of preterm pre-eclampsia, PlGF MoM and sFlt-1/PlGF ratio MoM performed similarly, with areas under the curve (AUC), detection rates (DR) and false positive rates (FPR) for PlGF MoM and sFlt-1/PlGF ratio MoM being 0.77–0.79 and 0.71–0.74, 62.5% for both and 9.7–14.9 and 10.7–17.7, respectively. For the prediction of early-onset pre-eclampsia, sFlt-1/PlGF ratio raw data and MoM values performed similarly, with AUC, DR and FPR being 0.92–0.97 and 0.93–0.96, 100% for both, and 4.13–16.9 and 9.4–12.2, respectively. Conclusions: For midpregnancy prediction of preterm pre-eclampsia, PlGF MoM for all three platforms and sFlt-1/PlGF ratio MoM for the two platforms that tested sFlt-1 performed similarly. For midpregnancy prediction of early-onset pre-eclampsia at midpregnancy, sFlt-1/PlGF ratio raw data and MoM values using the early-onset cut-off for the two platforms that tested sFlt-1 gave similar performance from a clinical perspective.
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    Journal Title
    Pregnancy Hypertension
    Volume
    16
    DOI
    https://doi.org/10.1016/j.preghy.2019.03.009
    Subject
    Paediatrics
    Reproductive medicine
    Science & Technology
    Life Sciences & Biomedicine
    Obstetrics & Gynecology
    Peripheral Vascular Disease
    Cardiovascular System & Cardiology
    Publication URI
    http://hdl.handle.net/10072/413898
    Collection
    • Journal articles

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