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Published in: BMC Infectious Diseases 1/2018

Open Access 01-12-2018 | Research article

Methods to discriminate primary from secondary dengue during acute symptomatic infection

Authors: Thi Hanh Tien Nguyen, Hannah E. Clapham, Khanh Lam Phung, Thanh Kieu Nguyen, The Trung DInh, Than Ha Quyen Nguyen, Van Ngoc Tran, Stephen Whitehead, Cameron Simmons, Marcel Wolbers, Bridget Wills

Published in: BMC Infectious Diseases | Issue 1/2018

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Abstract

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.
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Metadata
Title
Methods to discriminate primary from secondary dengue during acute symptomatic infection
Authors
Thi Hanh Tien Nguyen
Hannah E. Clapham
Khanh Lam Phung
Thanh Kieu Nguyen
The Trung DInh
Than Ha Quyen Nguyen
Van Ngoc Tran
Stephen Whitehead
Cameron Simmons
Marcel Wolbers
Bridget Wills
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Infectious Diseases / Issue 1/2018
Electronic ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-018-3274-7

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