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Early biomarkers for prediction of severe manifestations of dengue fever: a systematic review and a meta-analysis

Early identification of dengue patients at risk of adverse outcomes is important to prevent hospital overcrowding in low- to middle- income countries during epidemics. We performed a systematic review to identify which biomarkers measured in first 96 h of fever could predict dengue haemorrhagic feve...

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Autores principales: Moallemi, Samaneh, Lloyd, Andrew R., Rodrigo, Chaturaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576797/
https://www.ncbi.nlm.nih.gov/pubmed/37838744
http://dx.doi.org/10.1038/s41598-023-44559-9
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author Moallemi, Samaneh
Lloyd, Andrew R.
Rodrigo, Chaturaka
author_facet Moallemi, Samaneh
Lloyd, Andrew R.
Rodrigo, Chaturaka
author_sort Moallemi, Samaneh
collection PubMed
description Early identification of dengue patients at risk of adverse outcomes is important to prevent hospital overcrowding in low- to middle- income countries during epidemics. We performed a systematic review to identify which biomarkers measured in first 96 h of fever could predict dengue haemorrhagic fever (DHF, World Health Organization 1997 clinical classification) or severe dengue (SD, WHO 2009, clinical classification). PubMed, Scopus, CINAHL, Web of Science, and EMBASE databases were searched for prospective cohort and nested case–control studies published from 1997 to Feb 27, 2022. The protocol for the study was registered in PROSPERO (ID: CRD42021230053). After screening 6747 publications, and analysing 37 eligible studies reporting on 5925 patients, elevated C-reactive protein, aspartate aminotransferase, interleukin-8 and decreased albumin levels were strongly associated with dengue haemorrhagic fever (by meta-analyses of multiple studies, p < 0.05), while elevated vascular cell adhesion protein 1, syndecan-1, aspartate aminotransferase and C-reactive protein levels were strongly associated with severe dengue (by meta-analyses of multiple studies, p < 0.05). Further 44 and 28 biomarkers were associated with the risk of DHF and SD respectively, but only in a single study. The meta-analyses suggest the importance of early acute inflammation with hepatic involvement in determining the subsequent course of illness in dengue.
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spelling pubmed-105767972023-10-16 Early biomarkers for prediction of severe manifestations of dengue fever: a systematic review and a meta-analysis Moallemi, Samaneh Lloyd, Andrew R. Rodrigo, Chaturaka Sci Rep Article Early identification of dengue patients at risk of adverse outcomes is important to prevent hospital overcrowding in low- to middle- income countries during epidemics. We performed a systematic review to identify which biomarkers measured in first 96 h of fever could predict dengue haemorrhagic fever (DHF, World Health Organization 1997 clinical classification) or severe dengue (SD, WHO 2009, clinical classification). PubMed, Scopus, CINAHL, Web of Science, and EMBASE databases were searched for prospective cohort and nested case–control studies published from 1997 to Feb 27, 2022. The protocol for the study was registered in PROSPERO (ID: CRD42021230053). After screening 6747 publications, and analysing 37 eligible studies reporting on 5925 patients, elevated C-reactive protein, aspartate aminotransferase, interleukin-8 and decreased albumin levels were strongly associated with dengue haemorrhagic fever (by meta-analyses of multiple studies, p < 0.05), while elevated vascular cell adhesion protein 1, syndecan-1, aspartate aminotransferase and C-reactive protein levels were strongly associated with severe dengue (by meta-analyses of multiple studies, p < 0.05). Further 44 and 28 biomarkers were associated with the risk of DHF and SD respectively, but only in a single study. The meta-analyses suggest the importance of early acute inflammation with hepatic involvement in determining the subsequent course of illness in dengue. Nature Publishing Group UK 2023-10-14 /pmc/articles/PMC10576797/ /pubmed/37838744 http://dx.doi.org/10.1038/s41598-023-44559-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Moallemi, Samaneh
Lloyd, Andrew R.
Rodrigo, Chaturaka
Early biomarkers for prediction of severe manifestations of dengue fever: a systematic review and a meta-analysis
title Early biomarkers for prediction of severe manifestations of dengue fever: a systematic review and a meta-analysis
title_full Early biomarkers for prediction of severe manifestations of dengue fever: a systematic review and a meta-analysis
title_fullStr Early biomarkers for prediction of severe manifestations of dengue fever: a systematic review and a meta-analysis
title_full_unstemmed Early biomarkers for prediction of severe manifestations of dengue fever: a systematic review and a meta-analysis
title_short Early biomarkers for prediction of severe manifestations of dengue fever: a systematic review and a meta-analysis
title_sort early biomarkers for prediction of severe manifestations of dengue fever: a systematic review and a meta-analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576797/
https://www.ncbi.nlm.nih.gov/pubmed/37838744
http://dx.doi.org/10.1038/s41598-023-44559-9
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