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

Detalhes bibliográficos
Autor(a) principal: Teixeira, C.
Data de Publicação: 2014
Outros Autores: Tejera, E., Martins, H., Pereira, A., Costa-Pereira, A:, Rebelo, I.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.16/1609
Resumo: 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 First Trimester Aneuploidy Screening Program for Preeclampsia Prediction in a Portuguese Obstetric PopulationObjective. 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 CorporationRepositório Científico do Centro Hospitalar Universitário de Santo AntónioTeixeira, C.Tejera, E.Martins, H.Pereira, A.Costa-Pereira, A:Rebelo, I.2014-06-12T11:02:45Z2014-05-282014-05-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.16/1609engObstetrics and Gynecology International Volume 2014 (2014), Article ID 435037, 7 pages http://dx.doi.org/10.1155/2014/4350371687-9589info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-10-20T10:56:44Zoai:repositorio.chporto.pt:10400.16/1609Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:37:59.998135Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv 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
spellingShingle First Trimester Aneuploidy Screening Program for Preeclampsia Prediction in a Portuguese Obstetric Population
Teixeira, C.
title_short 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_sort First Trimester Aneuploidy Screening Program for Preeclampsia Prediction in a Portuguese Obstetric Population
author Teixeira, C.
author_facet Teixeira, C.
Tejera, E.
Martins, H.
Pereira, A.
Costa-Pereira, A:
Rebelo, I.
author_role author
author2 Tejera, E.
Martins, H.
Pereira, A.
Costa-Pereira, A:
Rebelo, I.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Centro Hospitalar Universitário de Santo António
dc.contributor.author.fl_str_mv Teixeira, C.
Tejera, E.
Martins, H.
Pereira, A.
Costa-Pereira, A:
Rebelo, I.
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.
publishDate 2014
dc.date.none.fl_str_mv 2014-06-12T11:02:45Z
2014-05-28
2014-05-28T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.16/1609
url http://hdl.handle.net/10400.16/1609
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Obstetrics and Gynecology International Volume 2014 (2014), Article ID 435037, 7 pages http://dx.doi.org/10.1155/2014/435037
1687-9589
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Hindawi Publishing Corporation
publisher.none.fl_str_mv Hindawi Publishing Corporation
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