ArticleAIDS research and human retroviruses2014
Evaluation of the false recent classification rates of multiassay algorithms in estimating HIV type 1 subtype C incidence.
Article in AIDS research and human retroviruses, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Use of HIV Recency Assays for HIV Incidence Estimation and Other Surveillance Use Cases: Systematic Review.JMIR public health and surveillance · 2022Pooled it
- Prediction of recent HIV-1 infections using Shannon entropy analysis of HIV-1 group-specific antigen protein sequence.Virology journal · 2026Article
- Evidence of an untamed HIV epidemic among MSM and TGW in Rio de Janeiro, Brazil: a 2018 to 2020 cross-sectional study using recent infection testing.Journal of the International AIDS Society · 2021Article
- Cross-sectional human immunodeficiency virus incidence estimation accounting for heterogeneity across communities.Biometrics · 2019Article
- Observational
- Evaluation of the limiting antigen avidity EIA (LAg) in people who inject drugs in Greece.Epidemiology and infection · 2017Article
- Short Communication: Low False Recent Rate of Limiting Antigen-Avidity Assay Combined with HIV-1 RNA Data in Botswana.AIDS research and human retroviruses · 2017Article
- Analysis of Viral Diversity in Relation to the Recency of HIV-1C Infection in Botswana.PloS one · 2016Article
- Review
- Modification of AxSYM Human Immunodeficiency Virus Assay to Identify Recent Human Immunodeficiency Virus Infections in Korean Human Immunodeficiency Virus-Positive Individuals.Osong public health and research perspectives · 2015Article
- Comparison of antibody responses to HIV infection in Ugandan women infected with HIV subtypes A and D.AIDS research and human retroviruses · 2015Article
- Characteristics of patients recently infected with HIV-1 non-B subtypes in France: a nested study within the mandatory notification system for new HIV diagnoses.Journal of clinical microbiology · 2014Article
- High prevalence and incidence of HIV-1 in a counseling and testing center in the city of Itajaí, Brazil.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious DiseasesArticle
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Authors and funding
14 authors.
Funding
Abstract
Laboratory cross-sectional assays are useful for the estimation of HIV incidence, but are known to misclassify individuals with long-standing infection as recently infected. The false recent rate (FRR) varies widely across geographic areas; therefore, accurate estimates of HIV incidence require a locally defined FRR. We determined FRR for Botswana, where HIV-1 subtype C infection is predominant, using the BED capture enzyme immunoassay (BED), a Bio-Rad Avidity Index (BAI) assay (a modification of the Bio-Rad HIV1/2+O EIA), and two multiassay algorithms (MAA) that included clinical data. To estimate FRR, stored blood samples from 512 antiretroviral (ARV)-naive HIV-1 subtype C-infected individuals from a prospective cohort in Botswana were tested at 18-24 months postenrollment. The following FRR mean (95% CI) values were obtained: BED 6.05% (4.15-8.48), BAI 5.57% (3.70-8.0), BED-BAI 2.25% (1.13-4.0), and a combination of BED-BAI with CD4 (>200) and viral load (>400) threshold 1.43% (0.58-2.93). The interassay agreement between BED and BAI was 92.8% (95% CI, 90.1-94.5) for recent/long-term classification. Misclassification was associated with viral suppression for BED [adjusted OR (aOR) 10.31; p=0.008], BAI [aOR 9.72; p=0.019], and MAA1 [aOR 16.6; p=0.006]. Employing MAA can reduce FRR to <2%. A local FRR can improve cross-sectional HIV incidence estimates.
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