First Trimester Biomarkers in the Prediction of Later Pregnancy Complications

Joint Authors

Brennecke, Shaun Patrick
Kane, Stefan C.
da Silva Costa, Fabricio

Source

BioMed Research International

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

Medicine

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