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Predicting outcome from dengue
Dengue is emerging as one of the most abundant vector-borne disease globally. Although the majority of infections are asymptomatic or result in only a brief systemic viral illness, a small proportion of patients develop potentially fatal complications. These severe manifestations, including a unique...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4154521/ https://www.ncbi.nlm.nih.gov/pubmed/25259615 http://dx.doi.org/10.1186/s12916-014-0147-9 |
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author | Yacoub, Sophie Wills, Bridget |
author_facet | Yacoub, Sophie Wills, Bridget |
author_sort | Yacoub, Sophie |
collection | PubMed |
description | Dengue is emerging as one of the most abundant vector-borne disease globally. Although the majority of infections are asymptomatic or result in only a brief systemic viral illness, a small proportion of patients develop potentially fatal complications. These severe manifestations, including a unique plasma leakage syndrome, a coagulopathy sometimes accompanied by bleeding, and organ impairment, occur relatively late in the disease course, presenting a window of opportunity to identify the group of patients likely to progress to these complications. However, as yet, differentiating this group from the thousands of milder cases seen each day during outbreaks remains challenging, and simple and inexpensive strategies are urgently needed in order to improve case management and to facilitate appropriate use of limited resources. This review will cover the current understanding of the risk factors associated with poor outcome in dengue. We focus particularly on the clinical features of the disease and on conventional investigations that are usually accessible in mid-level healthcare facilities in endemic areas, and then discuss a variety of viral, immunological and vascular biomarkers that have the potential to improve risk prediction. We conclude with a description of several novel methods of assessing vascular function and intravascular volume status non-invasively. |
format | Online Article Text |
id | pubmed-4154521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41545212014-09-05 Predicting outcome from dengue Yacoub, Sophie Wills, Bridget BMC Med Review Dengue is emerging as one of the most abundant vector-borne disease globally. Although the majority of infections are asymptomatic or result in only a brief systemic viral illness, a small proportion of patients develop potentially fatal complications. These severe manifestations, including a unique plasma leakage syndrome, a coagulopathy sometimes accompanied by bleeding, and organ impairment, occur relatively late in the disease course, presenting a window of opportunity to identify the group of patients likely to progress to these complications. However, as yet, differentiating this group from the thousands of milder cases seen each day during outbreaks remains challenging, and simple and inexpensive strategies are urgently needed in order to improve case management and to facilitate appropriate use of limited resources. This review will cover the current understanding of the risk factors associated with poor outcome in dengue. We focus particularly on the clinical features of the disease and on conventional investigations that are usually accessible in mid-level healthcare facilities in endemic areas, and then discuss a variety of viral, immunological and vascular biomarkers that have the potential to improve risk prediction. We conclude with a description of several novel methods of assessing vascular function and intravascular volume status non-invasively. BioMed Central 2014-09-04 /pmc/articles/PMC4154521/ /pubmed/25259615 http://dx.doi.org/10.1186/s12916-014-0147-9 Text en © Yacoub and Wills; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Yacoub, Sophie Wills, Bridget Predicting outcome from dengue |
title | Predicting outcome from dengue |
title_full | Predicting outcome from dengue |
title_fullStr | Predicting outcome from dengue |
title_full_unstemmed | Predicting outcome from dengue |
title_short | Predicting outcome from dengue |
title_sort | predicting outcome from dengue |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4154521/ https://www.ncbi.nlm.nih.gov/pubmed/25259615 http://dx.doi.org/10.1186/s12916-014-0147-9 |
work_keys_str_mv | AT yacoubsophie predictingoutcomefromdengue AT willsbridget predictingoutcomefromdengue |