Literature DB >> 17151211

Human immunodeficiency virus (HIV) antibody avidity testing to identify recent infection in newly diagnosed HIV type 1 (HIV-1)-seropositive persons infected with diverse HIV-1 subtypes.

A Chawla1, G Murphy, C Donnelly, C L Booth, M Johnson, J V Parry, A Phillips, A M Geretti.   

Abstract

A guanidine-based antibody avidity assay for the identification of recently acquired human immunodeficiency virus type 1 (HIV-1) infection was evaluated. The kinetics of maturation of antibody avidity were determined prospectively in 23 persons undergoing acute seroconversion followed for up to 1,075 days. Avidity indices (AI) of <or=0.75 and <or=0.80 reproducibly identified seroconversion within the previous 125 (95% confidence interval [CI], 85 to 164) and 142 (95% CI, 101 to 183) days, respectively. To validate the assay, 432 serum samples from newly diagnosed patients were tested by both the avidity assay and the detuned assay. Results were highly concordant (kappa value for agreement, 0.85). The avidity assay was subsequently used to screen 134 consecutive newly diagnosed patients, including 55/134 (41%) infected with non-B subtypes (A, C, D, G, CRF01, CRF02, CRF06, CRF13, and CRF16). In this cohort, 25/79 (32%) persons with the B subtype and 7/55 (13%) with non-B subtypes showed an AI of <or=0.75, and there were 16/25 (64%) and 3/7 (43%) persons, respectively, with a documented history of acute seroconversion illness within the predicted seroconversion interval. An AI of <or=0.75 was also observed for four patients (three with the B subtype and one with a non-B subtype) who presented with AIDS-defining conditions. In multivariate analysis, an AI of <or=0.75 was associated with younger age, higher HIV-1 plasma RNA load, and being born in the United Kingdom or Ireland rather than in Africa but not with gender, ethnicity, risk group, HIV-1 subtype, or CD4 counts. In conclusion, HIV antibody avidity testing provides a reliable method for identifying recently acquired HIV-1 infection. Results are affected by advanced disease and should therefore be interpreted in the context of other clinical parameters.

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Year:  2006        PMID: 17151211      PMCID: PMC1829080          DOI: 10.1128/JCM.01879-06

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  22 in total

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4.  Precision and accuracy of a procedure for detecting recent human immunodeficiency virus infections by calculating the antibody avidity index by an automated immunoassay-based method.

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Journal:  J Clin Microbiol       Date:  2002-11       Impact factor: 5.948

5.  What a test for recent infection might reveal about HIV incidence in England and Wales.

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7.  Comparison of the avidity index method and the serologic testing algorithm for recent human immunodeficiency virus (HIV) seroconversion, two methods using a single serum sample for identification of recent HIV infections.

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Journal:  AIDS Res Hum Retroviruses       Date:  2003-06       Impact factor: 2.205

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2.  Infection Staging and Incidence Surveillance Applications of High Dynamic Range Diagnostic Immuno-Assay Platforms.

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3.  Estimating HIV Incidence in Populations Using Tests for Recent Infection: Issues, Challenges and the Way Forward.

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4.  Designing a genome-based HIV incidence assay with high sensitivity and specificity.

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5.  Demographic profiles of newly acquired HIV infections among adolescents and young adults in the U.S.

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6.  Lower-sensitivity and avidity modifications of the vitros anti-HIV 1+2 assay for detection of recent HIV infections and incidence estimation.

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7.  Evaluation of the false recent classification rates of multiassay algorithms in estimating HIV type 1 subtype C incidence.

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Journal:  AIDS Res Hum Retroviruses       Date:  2013-09-06       Impact factor: 2.205

8.  A likelihood estimation of HIV incidence incorporating information on past prevalence.

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Journal:  S Afr Stat J       Date:  2013-03

9.  Developing high-throughput HIV incidence assay with pyrosequencing platform.

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10.  Risk Factor Detection as a Metric of STARHS Performance for HIV Incidence Surveillance Among Female Sex Workers in Kigali, Rwanda.

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