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First Trimester Biomarkers in the Prediction of Later Pregnancy Complications

Adverse obstetric outcomes, such as preeclampsia, preterm birth, gestational diabetes, and fetal growth restriction, are poorly predicted by maternal history and risk factors alone, especially in nulliparae. The ability to predict these outcomes from the first trimester would allow for the early ini...

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Detalles Bibliográficos
Autores principales: Kane, Stefan C., da Silva Costa, Fabricio, Brennecke, Shaun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3988945/
https://www.ncbi.nlm.nih.gov/pubmed/24800250
http://dx.doi.org/10.1155/2014/807196
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author Kane, Stefan C.
da Silva Costa, Fabricio
Brennecke, Shaun
author_facet Kane, Stefan C.
da Silva Costa, Fabricio
Brennecke, Shaun
author_sort Kane, Stefan C.
collection PubMed
description Adverse obstetric outcomes, such as preeclampsia, preterm birth, gestational diabetes, and fetal growth restriction, are poorly predicted by maternal history and risk factors alone, especially in nulliparae. The ability to predict these outcomes from the first trimester would allow for the early initiation of prophylactic therapies, institution of an appropriate model and location of care, and recruitment of a truly “high risk” population to clinical trials of interventions to prevent or ameliorate these conditions. To this end, development of adequately sensitive and specific predictive tests for these outcomes has become a significant focus of perinatal research. This paper reviews the biomarkers involved in these multiparametric tests and also outlines the performance of these tests and issues regarding their introduction into clinical practice.
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spelling pubmed-39889452014-05-05 First Trimester Biomarkers in the Prediction of Later Pregnancy Complications Kane, Stefan C. da Silva Costa, Fabricio Brennecke, Shaun Biomed Res Int Review Article Adverse obstetric outcomes, such as preeclampsia, preterm birth, gestational diabetes, and fetal growth restriction, are poorly predicted by maternal history and risk factors alone, especially in nulliparae. The ability to predict these outcomes from the first trimester would allow for the early initiation of prophylactic therapies, institution of an appropriate model and location of care, and recruitment of a truly “high risk” population to clinical trials of interventions to prevent or ameliorate these conditions. To this end, development of adequately sensitive and specific predictive tests for these outcomes has become a significant focus of perinatal research. This paper reviews the biomarkers involved in these multiparametric tests and also outlines the performance of these tests and issues regarding their introduction into clinical practice. Hindawi Publishing Corporation 2014 2014-03-30 /pmc/articles/PMC3988945/ /pubmed/24800250 http://dx.doi.org/10.1155/2014/807196 Text en Copyright © 2014 Stefan C. Kane 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 Review Article
Kane, Stefan C.
da Silva Costa, Fabricio
Brennecke, Shaun
First Trimester Biomarkers in the Prediction of Later Pregnancy Complications
title First Trimester Biomarkers in the Prediction of Later Pregnancy Complications
title_full First Trimester Biomarkers in the Prediction of Later Pregnancy Complications
title_fullStr First Trimester Biomarkers in the Prediction of Later Pregnancy Complications
title_full_unstemmed First Trimester Biomarkers in the Prediction of Later Pregnancy Complications
title_short First Trimester Biomarkers in the Prediction of Later Pregnancy Complications
title_sort first trimester biomarkers in the prediction of later pregnancy complications
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3988945/
https://www.ncbi.nlm.nih.gov/pubmed/24800250
http://dx.doi.org/10.1155/2014/807196
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