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First Trimester Biomarkers in the Prediction of Later Pregnancy Complications
Joint Authors
Brennecke, Shaun Patrick
Kane, Stefan C.
da Silva Costa, Fabricio
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-30
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Kane, Stefan C.& da Silva Costa, Fabricio& Brennecke, Shaun Patrick. 2014. First Trimester Biomarkers in the Prediction of Later Pregnancy Complications. BioMed Research International،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-499632
Modern Language Association (MLA)
Kane, Stefan C.…[et al.]. First Trimester Biomarkers in the Prediction of Later Pregnancy Complications. BioMed Research International No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-499632
American Medical Association (AMA)
Kane, Stefan C.& da Silva Costa, Fabricio& Brennecke, Shaun Patrick. First Trimester Biomarkers in the Prediction of Later Pregnancy Complications. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-499632
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-499632