Cargando…
Predicting Preterm Labour: Current Status and Future Prospects
Preterm labour and birth are a major cause of perinatal morbidity and mortality. Despite modern advances in obstetric and neonatal management, the rate of preterm birth in the developed world is increasing. Yet even though numerous risk factors associated with preterm birth have been identified, the...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4486247/ https://www.ncbi.nlm.nih.gov/pubmed/26160993 http://dx.doi.org/10.1155/2015/435014 |
_version_ | 1782378874547470336 |
---|---|
author | Georgiou, Harry M. Di Quinzio, Megan K. W. Permezel, Michael Brennecke, Shaun P. |
author_facet | Georgiou, Harry M. Di Quinzio, Megan K. W. Permezel, Michael Brennecke, Shaun P. |
author_sort | Georgiou, Harry M. |
collection | PubMed |
description | Preterm labour and birth are a major cause of perinatal morbidity and mortality. Despite modern advances in obstetric and neonatal management, the rate of preterm birth in the developed world is increasing. Yet even though numerous risk factors associated with preterm birth have been identified, the ability to accurately predict when labour will occur remains elusive, whether it is at a term or preterm gestation. In the latter case, this is likely due to the multifactorial aetiology of preterm labour wherein women may display different clinical presentations that lead to preterm birth. The discovery of novel biomarkers that could reliably identify women who will subsequently deliver preterm may allow for timely medical intervention and targeted therapeutic treatments aimed at improving maternal and fetal outcomes. Various body fluids including amniotic fluid, urine, saliva, blood (serum/plasma), and cervicovaginal fluid all provide a rich protein source of putative biochemical markers that may be causative or reflective of the various pathophysiological disorders of pregnancy, including preterm labour. This short review will highlight recent advances in the field of biomarker discovery and the utility of single and multiple biomarkers for the prediction of preterm birth in the absence of intra-amniotic infection. |
format | Online Article Text |
id | pubmed-4486247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-44862472015-07-09 Predicting Preterm Labour: Current Status and Future Prospects Georgiou, Harry M. Di Quinzio, Megan K. W. Permezel, Michael Brennecke, Shaun P. Dis Markers Review Article Preterm labour and birth are a major cause of perinatal morbidity and mortality. Despite modern advances in obstetric and neonatal management, the rate of preterm birth in the developed world is increasing. Yet even though numerous risk factors associated with preterm birth have been identified, the ability to accurately predict when labour will occur remains elusive, whether it is at a term or preterm gestation. In the latter case, this is likely due to the multifactorial aetiology of preterm labour wherein women may display different clinical presentations that lead to preterm birth. The discovery of novel biomarkers that could reliably identify women who will subsequently deliver preterm may allow for timely medical intervention and targeted therapeutic treatments aimed at improving maternal and fetal outcomes. Various body fluids including amniotic fluid, urine, saliva, blood (serum/plasma), and cervicovaginal fluid all provide a rich protein source of putative biochemical markers that may be causative or reflective of the various pathophysiological disorders of pregnancy, including preterm labour. This short review will highlight recent advances in the field of biomarker discovery and the utility of single and multiple biomarkers for the prediction of preterm birth in the absence of intra-amniotic infection. Hindawi Publishing Corporation 2015 2015-06-15 /pmc/articles/PMC4486247/ /pubmed/26160993 http://dx.doi.org/10.1155/2015/435014 Text en Copyright © 2015 Harry M. Georgiou 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 Georgiou, Harry M. Di Quinzio, Megan K. W. Permezel, Michael Brennecke, Shaun P. Predicting Preterm Labour: Current Status and Future Prospects |
title | Predicting Preterm Labour: Current Status and Future Prospects |
title_full | Predicting Preterm Labour: Current Status and Future Prospects |
title_fullStr | Predicting Preterm Labour: Current Status and Future Prospects |
title_full_unstemmed | Predicting Preterm Labour: Current Status and Future Prospects |
title_short | Predicting Preterm Labour: Current Status and Future Prospects |
title_sort | predicting preterm labour: current status and future prospects |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4486247/ https://www.ncbi.nlm.nih.gov/pubmed/26160993 http://dx.doi.org/10.1155/2015/435014 |
work_keys_str_mv | AT georgiouharrym predictingpretermlabourcurrentstatusandfutureprospects AT diquinziomegankw predictingpretermlabourcurrentstatusandfutureprospects AT permezelmichael predictingpretermlabourcurrentstatusandfutureprospects AT brenneckeshaunp predictingpretermlabourcurrentstatusandfutureprospects |