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
来源
PLOS ONE | 2008年 / 3卷 / 11期
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.
引用
收藏
页数:8
相关论文
共 39 条
  • [31] HIV prevalence and incidence are no longer falling in southwest Uganda: evidence from a rural population cohort 1989-2005
    Shafer, Leigh Anne
    Biraro, Samuel
    Nakiyingi-Miiro, Jessica
    Kamali, Anatoli
    Ssematimba, Duncan
    Ouma, Joseph
    Ojwiya, Amato
    Hughes, Peter
    Van der Paal, Lieve
    Whitworth, Jimmy
    Opio, Alex
    Grosskurth, Heiner
    [J]. AIDS, 2008, 22 (13) : 1641 - 1649
  • [32] Shisana O., 2005, South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey
  • [33] Cohort profile:: Africa Centre Demographic Information System (ACDIS) and population-based HIV survey
    Tanser, Frank
    Hosegood, Victoria
    Barnighausen, Till
    Herbst, Kobus
    Nyirenda, Makandwe
    Muhwava, William
    Newell, Colin
    Viljoen, Johannes
    Mutevedzi, Tinofa
    Newell, Marie-Louise
    [J]. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2008, 37 (05) : 956 - 962
  • [34] UNAIDS Reference Group for Estimates MaP, 2005, STAT US BED ASS EST
  • [35] WELTE A, 2008, AIDS RES HU IN PRESS
  • [36] Continued very high prevalence of HIV infection in rural KwaZulu-Natal, South Africa:: a population-based longitudinal study
    Welz, Tanya
    Hosegood, Victoria
    Jaffar, Shabbar
    Batzing-Feigenbaum, Jorg
    Herbst, Kobus
    Newell, Marie-Louise
    [J]. AIDS, 2007, 21 (11) : 1467 - 1472
  • [37] Williams B, 2001, STAT MED, V20, P2003, DOI 10.1002/sim.840
  • [38] Temporal trends in the incidence of HIV infection in antenatal clinic attendees in Addis Ababa, Ethiopia, 1995-2003
    Wolday, D.
    Meles, H.
    Hailu, E.
    Messele, T.
    Mengistu, Y.
    Fekadu, M.
    Parekh, B. S.
    Wuhib, T.
    [J]. JOURNAL OF INTERNAL MEDICINE, 2007, 261 (02) : 132 - 137
  • [39] World Health Organization, 2007, WHO case definitions of HIV for surveillance and revised clinical staging and immunological classification of HIV-related disease in adults and children