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Methods to discriminate primary from secondary dengue during acute symptomatic infection
BACKGROUND: Dengue virus infection results in a broad spectrum of clinical outcomes, ranging from asymptomatic infection through to severe dengue. Although prior infection with another viral serotype, i.e. secondary dengue, is known to be an important factor influencing disease severity, current met...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6081805/ https://www.ncbi.nlm.nih.gov/pubmed/30086716 http://dx.doi.org/10.1186/s12879-018-3274-7 |
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author | Nguyen, Thi Hanh Tien Clapham, Hannah E. Phung, Khanh Lam Nguyen, Thanh Kieu DInh, The Trung Nguyen, Than Ha Quyen Tran, Van Ngoc Whitehead, Stephen Simmons, Cameron Wolbers, Marcel Wills, Bridget |
author_facet | Nguyen, Thi Hanh Tien Clapham, Hannah E. Phung, Khanh Lam Nguyen, Thanh Kieu DInh, The Trung Nguyen, Than Ha Quyen Tran, Van Ngoc Whitehead, Stephen Simmons, Cameron Wolbers, Marcel Wills, Bridget |
author_sort | Nguyen, Thi Hanh Tien |
collection | PubMed |
description | BACKGROUND: Dengue virus infection results in a broad spectrum of clinical outcomes, ranging from asymptomatic infection through to severe dengue. Although prior infection with another viral serotype, i.e. secondary dengue, is known to be an important factor influencing disease severity, current methods to determine primary versus secondary immune status during the acute illness do not consider the rapidly evolving immune response, and their accuracy has rarely been evaluated against an independent gold standard. METHODS: Two hundred and ninety-three confirmed dengue patients were classified as experiencing primary, secondary or indeterminate infections using plaque reduction neutralisation tests performed 6 months after resolution of the acute illness. We developed and validated regression models to differentiate primary from secondary dengue on multiple acute illness days, using Panbio Indirect IgG and in-house capture IgG and IgM ELISA measurements performed on over 1000 serial samples obtained during acute illness. RESULTS: Cut-offs derived for the various parameters demonstrated progressive change (positively or negatively) by day of illness. Using these time varying cut-offs it was possible to determine whether an infection was primary or secondary on single specimens, with acceptable performance. The model using Panbio Indirect IgG responses and including an interaction with illness day showed the best performance throughout, although with some decline in performance later in infection. Models based on in-house capture IgG levels, and the IgM/IgG ratio, also performed well, though conversely performance improved later in infection. CONCLUSIONS: For all assays, the best fitting models estimated a different cut-off value for different days of illness, confirming how rapidly the immune response changes during acute dengue. The optimal choice of assay will vary depending on circumstance. Although the Panbio Indirect IgG model performs best early on, the IgM/IgG capture ratio may be preferred later in the illness course. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-018-3274-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6081805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60818052018-08-09 Methods to discriminate primary from secondary dengue during acute symptomatic infection Nguyen, Thi Hanh Tien Clapham, Hannah E. Phung, Khanh Lam Nguyen, Thanh Kieu DInh, The Trung Nguyen, Than Ha Quyen Tran, Van Ngoc Whitehead, Stephen Simmons, Cameron Wolbers, Marcel Wills, Bridget BMC Infect Dis Research Article BACKGROUND: Dengue virus infection results in a broad spectrum of clinical outcomes, ranging from asymptomatic infection through to severe dengue. Although prior infection with another viral serotype, i.e. secondary dengue, is known to be an important factor influencing disease severity, current methods to determine primary versus secondary immune status during the acute illness do not consider the rapidly evolving immune response, and their accuracy has rarely been evaluated against an independent gold standard. METHODS: Two hundred and ninety-three confirmed dengue patients were classified as experiencing primary, secondary or indeterminate infections using plaque reduction neutralisation tests performed 6 months after resolution of the acute illness. We developed and validated regression models to differentiate primary from secondary dengue on multiple acute illness days, using Panbio Indirect IgG and in-house capture IgG and IgM ELISA measurements performed on over 1000 serial samples obtained during acute illness. RESULTS: Cut-offs derived for the various parameters demonstrated progressive change (positively or negatively) by day of illness. Using these time varying cut-offs it was possible to determine whether an infection was primary or secondary on single specimens, with acceptable performance. The model using Panbio Indirect IgG responses and including an interaction with illness day showed the best performance throughout, although with some decline in performance later in infection. Models based on in-house capture IgG levels, and the IgM/IgG ratio, also performed well, though conversely performance improved later in infection. CONCLUSIONS: For all assays, the best fitting models estimated a different cut-off value for different days of illness, confirming how rapidly the immune response changes during acute dengue. The optimal choice of assay will vary depending on circumstance. Although the Panbio Indirect IgG model performs best early on, the IgM/IgG capture ratio may be preferred later in the illness course. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-018-3274-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-08-07 /pmc/articles/PMC6081805/ /pubmed/30086716 http://dx.doi.org/10.1186/s12879-018-3274-7 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 | Research Article Nguyen, Thi Hanh Tien Clapham, Hannah E. Phung, Khanh Lam Nguyen, Thanh Kieu DInh, The Trung Nguyen, Than Ha Quyen Tran, Van Ngoc Whitehead, Stephen Simmons, Cameron Wolbers, Marcel Wills, Bridget Methods to discriminate primary from secondary dengue during acute symptomatic infection |
title | Methods to discriminate primary from secondary dengue during acute symptomatic infection |
title_full | Methods to discriminate primary from secondary dengue during acute symptomatic infection |
title_fullStr | Methods to discriminate primary from secondary dengue during acute symptomatic infection |
title_full_unstemmed | Methods to discriminate primary from secondary dengue during acute symptomatic infection |
title_short | Methods to discriminate primary from secondary dengue during acute symptomatic infection |
title_sort | methods to discriminate primary from secondary dengue during acute symptomatic infection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6081805/ https://www.ncbi.nlm.nih.gov/pubmed/30086716 http://dx.doi.org/10.1186/s12879-018-3274-7 |
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