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

被引:60
作者
Barnighausen, Till [1 ]
Wallrauch, Claudia [1 ]
Welte, Alex [2 ,3 ]
McWalter, Thomas A. [2 ]
Mbizana, Nhlanhla [1 ]
Viljoen, Johannes [1 ]
Graham, Natalie [1 ]
Tanser, Frank [1 ]
Puren, Adrian [4 ]
Newell, Marie-Louise [1 ,5 ]
机构
[1] Univ KwaZulu Natal, Africa Ctr Hlth & Populat Studies, Durban, South Africa
[2] Univ Witwatersrand, Sch Computat & Appl Math, ZA-2050 Wits, South Africa
[3] Univ Stellenbosch, DST NRF, SACEMA, ZA-7600 Stellenbosch, South Africa
[4] Natl Inst Communicable Dis, Johannesburg, South Africa
[5] UCL, Inst Child Hlth, Ctr Paediat Epidemiol & Biostat, London WC1E 6BT, England
基金
英国惠康基金;
关键词
D O I
10.1371/journal.pone.0003640
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 95(th) 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.
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页数:8
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