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First Trimester Aneuploidy Screening Program for Preeclampsia Prediction in a Portuguese Obstetric Population

Objective. To evaluate the performance of a first trimester aneuploidy screening program for preeclampsia (PE) prediction in a Portuguese obstetric population, when performed under routine clinical conditions. Materials and Methods. Retrospective cohort study of 5672 pregnant women who underwent rou...

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Autores principales: Teixeira, Cláudia, Tejera, Eduardo, Martins, Helena, Pereira, António Tomé, Costa-Pereira, Altamiro, Rebelo, Irene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058475/
https://www.ncbi.nlm.nih.gov/pubmed/24991215
http://dx.doi.org/10.1155/2014/435037
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author Teixeira, Cláudia
Tejera, Eduardo
Martins, Helena
Pereira, António Tomé
Costa-Pereira, Altamiro
Rebelo, Irene
author_facet Teixeira, Cláudia
Tejera, Eduardo
Martins, Helena
Pereira, António Tomé
Costa-Pereira, Altamiro
Rebelo, Irene
author_sort Teixeira, Cláudia
collection PubMed
description Objective. To evaluate the performance of a first trimester aneuploidy screening program for preeclampsia (PE) prediction in a Portuguese obstetric population, when performed under routine clinical conditions. Materials and Methods. Retrospective cohort study of 5672 pregnant women who underwent routine first trimester aneuploidy screening in a Portuguese university hospital from January 2009 to June 2013. Logistic regression-based predictive models were developed for prediction of PE based on maternal characteristics, crown-rump length (CRL), nuchal translucency thickness (NT), and maternal serum levels of pregnancy-associated plasma protein-A (PAPP-A) and free beta-subunit of human chorionic gonadotropin (free β-hCG). Results. At a false-positive rate of 5/10%, the detection rate for early-onset (EO-PE) and late-onset (LO-PE) PE was 31.4/45.7% and 29.5/35.2%, respectively. Although both forms of PE were associated with decreased PAPP-A, logistic regression analysis revealed significant contributions from maternal factors, free β-hCG, CRL, and NT, but not PAPP-A, for prediction of PE. Conclusion. Our findings support that both clinical forms of EO-PE and LO-PE can be predicted using a combination of maternal history and biomarkers assessed at first trimester aneuploidy screening. However, detection rates were modest, suggesting that models need to be improved with additional markers not included in the current aneuploidy screening programs.
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spelling pubmed-40584752014-07-02 First Trimester Aneuploidy Screening Program for Preeclampsia Prediction in a Portuguese Obstetric Population Teixeira, Cláudia Tejera, Eduardo Martins, Helena Pereira, António Tomé Costa-Pereira, Altamiro Rebelo, Irene Obstet Gynecol Int Research Article Objective. To evaluate the performance of a first trimester aneuploidy screening program for preeclampsia (PE) prediction in a Portuguese obstetric population, when performed under routine clinical conditions. Materials and Methods. Retrospective cohort study of 5672 pregnant women who underwent routine first trimester aneuploidy screening in a Portuguese university hospital from January 2009 to June 2013. Logistic regression-based predictive models were developed for prediction of PE based on maternal characteristics, crown-rump length (CRL), nuchal translucency thickness (NT), and maternal serum levels of pregnancy-associated plasma protein-A (PAPP-A) and free beta-subunit of human chorionic gonadotropin (free β-hCG). Results. At a false-positive rate of 5/10%, the detection rate for early-onset (EO-PE) and late-onset (LO-PE) PE was 31.4/45.7% and 29.5/35.2%, respectively. Although both forms of PE were associated with decreased PAPP-A, logistic regression analysis revealed significant contributions from maternal factors, free β-hCG, CRL, and NT, but not PAPP-A, for prediction of PE. Conclusion. Our findings support that both clinical forms of EO-PE and LO-PE can be predicted using a combination of maternal history and biomarkers assessed at first trimester aneuploidy screening. However, detection rates were modest, suggesting that models need to be improved with additional markers not included in the current aneuploidy screening programs. Hindawi Publishing Corporation 2014 2014-05-28 /pmc/articles/PMC4058475/ /pubmed/24991215 http://dx.doi.org/10.1155/2014/435037 Text en Copyright © 2014 Cláudia Teixeira et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Teixeira, Cláudia
Tejera, Eduardo
Martins, Helena
Pereira, António Tomé
Costa-Pereira, Altamiro
Rebelo, Irene
First Trimester Aneuploidy Screening Program for Preeclampsia Prediction in a Portuguese Obstetric Population
title First Trimester Aneuploidy Screening Program for Preeclampsia Prediction in a Portuguese Obstetric Population
title_full First Trimester Aneuploidy Screening Program for Preeclampsia Prediction in a Portuguese Obstetric Population
title_fullStr First Trimester Aneuploidy Screening Program for Preeclampsia Prediction in a Portuguese Obstetric Population
title_full_unstemmed First Trimester Aneuploidy Screening Program for Preeclampsia Prediction in a Portuguese Obstetric Population
title_short First Trimester Aneuploidy Screening Program for Preeclampsia Prediction in a Portuguese Obstetric Population
title_sort first trimester aneuploidy screening program for preeclampsia prediction in a portuguese obstetric population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058475/
https://www.ncbi.nlm.nih.gov/pubmed/24991215
http://dx.doi.org/10.1155/2014/435037
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