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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
immunology and microbiology
Differential specificity of HIV incidence assays in HIV subtypes a and D-infected individuals from Rakai, Uganda
AIDS Research and Human Retroviruses, Volume 29, No. 8, Year 2013
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Description
Assays to determine HIV incidence from cross-sectional surveys have exhibited a high rate of false-recent misclassification in Kenya and Uganda where HIV subtypes A and D predominate. Samples from individuals infected with HIV for at least 2 years with known infecting subtype (133 subtype A, 373 subtype D) were tested using the BED-CEIA and an avidity assay. Both assays had a higher rate of false-recent misclassification for subtype D compared to subtype A (13.7% vs. 6.0%, p=0.02 for BED-CEIA; 11.0% vs. 1.5%, p<0.001 for avidity). For subtype D samples, false-recent misclassification by the BED-CEIA was also more frequent in women than men (15.0% vs. 5.6%, p=0.002), and for samples where that had an amino acid other than lysine at position 12 in the BED-CEIA peptide coding region (p=0.002). Furthermore in subtype D-infected individuals, samples misclassified by one assay were 3.5 times more likely to be misclassified by the other assay. Differential misclassification by infecting subtype of long-term infected individuals as recently infected makes it difficult to use these assays individually to estimate population level incidence without precise knowledge of the distribution of these subtypes within populations where subtype A and D cocirculate. The association of misclassification of the BED-CEIA with the avidity assay in subtype D-infected individuals limits the utility of using these assays in combination within this population. © Copyright 2013, Mary Ann Liebert, Inc. 2013.
Authors & Co-Authors
Mullis, Caroline E.
United States, Baltimore
Johns Hopkins University
Munshaw, Supriya
United States, Baltimore
Johns Hopkins University
Grabowski, Mary Kate
United States, Baltimore
Johns Hopkins Bloomberg School of Public Health
Eshleman, Susan H.
United States, Baltimore
Johns Hopkins University
Serwadda, David Musoke
Uganda, Kalisizo
Rakai Health Sciences Program
Uganda, Kampala
Makerere University
Brookmeyer, Ron S.
United States, Los Angeles
University of California, Los Angeles
Nalugoda, Fred Kakaire
Uganda, Kalisizo
Rakai Health Sciences Program
Kigozi, Godfrey G.
Uganda, Kalisizo
Rakai Health Sciences Program
Kagaayi, Joseph
Uganda, Kalisizo
Rakai Health Sciences Program
Tobian, Aaron A.R.
United States, Baltimore
Johns Hopkins University
Wawer, Maria J.
United States, Baltimore
Johns Hopkins Bloomberg School of Public Health
Uganda, Kalisizo
Rakai Health Sciences Program
Gray, Ronald H.
United States, Baltimore
Johns Hopkins Bloomberg School of Public Health
Uganda, Kalisizo
Rakai Health Sciences Program
Quinn, Thomas Charles
United States, Baltimore
Johns Hopkins University
United States, Bethesda
National Institutes of Health Nih
Laeyendecker, Oliver B.
United States, Baltimore
Johns Hopkins University
United States, Bethesda
National Institutes of Health Nih
Statistics
Citations: 17
Authors: 14
Affiliations: 6
Identifiers
Doi:
10.1089/aid.2012.0105
ISSN:
08892229
e-ISSN:
19318405
Research Areas
Infectious Diseases
Study Design
Cross Sectional Study
Cohort Study
Study Locations
Kenya
Uganda
Participants Gender
Male
Female