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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| Hauptverfasser: | , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
November 4, 2008
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| In: |
PLOS ONE
Year: 2008, Jahrgang: 3, Heft: 11 |
| ISSN: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0003640 |
| Online-Zugang: | 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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| Verfasserangaben: | 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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| 245 | 1 | 0 | |a HIV Incidence in Rural South Africa |b Comparison of Estimates from Longitudinal Surveillance and Cross-Sectional cBED Assay Testing |c 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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| 520 | |a 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. | ||
| 650 | 4 | |a Confidence intervals | |
| 650 | 4 | |a Enzyme assays | |
| 650 | 4 | |a Enzyme immunoassay | |
| 650 | 4 | |a Enzyme-linked immunoassays | |
| 650 | 4 | |a HIV | |
| 650 | 4 | |a HIV epidemiology | |
| 650 | 4 | |a HIV infections | |
| 650 | 4 | |a HIV prevention | |
| 700 | 1 | |a Wallrauch-Schwarz, Claudia |e VerfasserIn |0 (DE-627)1237765498 |0 (DE-576)167765493 |4 aut | |
| 700 | 1 | |a McWalter, Thomas A. |e VerfasserIn |0 (DE-588)138694109 |0 (DE-627)604952570 |0 (DE-576)30863215X |4 aut | |
| 700 | 1 | |a Tanser, Frank |e VerfasserIn |0 (DE-588)113303893X |0 (DE-627)888183968 |0 (DE-576)489069010 |4 aut | |
| 700 | 1 | |a Newell, Marie-Louise |e VerfasserIn |0 (DE-588)1135807442 |0 (DE-627)890893942 |0 (DE-576)490146147 |4 aut | |
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