HIV Incidence in Rural South Africa: Comparison of Estimates from Longitudinal Surveillance and Cross-Sectional cBED Assay Testing

Background The BED IgG-Capture Enzyme Immunoassay (cBED assay), a test of recent HIV infection, has been used to estimate HIV incidence in cross-sectional HIV surveys. However, there has been concern that the assay overestimates HIV incidence to an unknown extent because it falsely classifies some i...

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Main Authors: Bärnighausen, Till (Author) , Wallrauch-Schwarz, Claudia (Author) , McWalter, Thomas A. (Author) , Tanser, Frank (Author) , Newell, Marie-Louise (Author)
Format: Article (Journal)
Language:English
Published: November 4, 2008
In: PLOS ONE
Year: 2008, Volume: 3, Issue: 11
ISSN:1932-6203
DOI:10.1371/journal.pone.0003640
Online Access:Verlag, Volltext: http://dx.doi.org/10.1371/journal.pone.0003640
Verlag, Volltext: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0003640
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Author Notes:Till Bärnighausen, Claudia Wallrauch, Alex Welte, Thomas A. McWalter, Nhlanhla Mbizana, Johannes Viljoen, Natalie Graham, Frank Tanser, Adrian Puren, Marie-Louise Newell
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Summary:Background The BED IgG-Capture Enzyme Immunoassay (cBED assay), a test of recent HIV infection, has been used to estimate HIV incidence in cross-sectional HIV surveys. However, there has been concern that the assay overestimates HIV incidence to an unknown extent because it falsely classifies some individuals with non-recent HIV infections as recently infected. We used data from a longitudinal HIV surveillance in rural South Africa to measure the fraction of people with non-recent HIV infection who are falsely classified as recently HIV-infected by the cBED assay (the long-term false-positive ratio (FPR)) and compared cBED assay-based HIV incidence estimates to longitudinally measured HIV incidence. Methodology/Principal Findings We measured the long-term FPR in individuals with two positive HIV tests (in the HIV surveillance, 2003-2006) more than 306 days apart (sample size n = 1,065). We implemented four different formulae to calculate HIV incidence using cBED assay testing (n = 11,755) and obtained confidence intervals (CIs) by directly calculating the central 95th percentile of incidence values. We observed 4,869 individuals over 7,685 person-years for longitudinal HIV incidence estimation. The long-term FPR was 0.0169 (95% CI 0.0100-0.0266). Using this FPR, the cross-sectional cBED-based HIV incidence estimates (per 100 people per year) varied between 3.03 (95% CI 2.44-3.63) and 3.19 (95% CI 2.57-3.82), depending on the incidence formula. Using a long-term FPR of 0.0560 based on previous studies, HIV incidence estimates varied between 0.65 (95% CI 0.00-1.32) and 0.71 (95% CI 0.00-1.43). The longitudinally measured HIV incidence was 3.09 per 100 people per year (95% CI 2.69-3.52), after adjustment to the sex-age distribution of the sample used in cBED assay-based estimation. Conclusions/Significance In a rural community in South Africa with high HIV prevalence, the long-term FPR of the cBED assay is substantially lower than previous estimates. The cBED assay performs well in HIV incidence estimation if the locally measured long-term FPR is used, but significantly underestimates incidence when a FPR estimate based on previous studies in other settings is used.
Item Description:Gesehen am 04.08.2017
Physical Description:Online Resource
ISSN:1932-6203
DOI:10.1371/journal.pone.0003640