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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
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.
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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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