Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
immunology and microbiology
Detection of recent HIV infections in African individuals infected by HIV-1 non-B subtypes using HIV antibody avidity
Journal of Clinical Virology, Volume 41, No. 4, Year 2008
Notification
URL copied to clipboard!
Description
Background: To estimate HIV incidence several methods have been used to discriminate recent HIV infections from long-standing infections using a single serum sample. Objective: To evaluate the performance of the anti-HIV avidity index (AI) for identifying recent HIV infections in individuals with a known date of seroconversion from Uganda, where the predominant HIV subtypes are A and D. Study design: We selected 149 repository serum samples from Ugandan HIV-positive individuals and evaluated the AI. Specimens collected ≤6 months after seroconversion were considered as recent infections, and those collected >6 months as long-standing infections. All specimens were serotyped using a V3 peptide enzyme immunoassay. Results: The mean AI was 0.55 ± 0.21 among the 108 patients with recent infections and 0.93 ± 0.14 among the 41 samples from long-standing infections (p < 0.0001). The AI test showed a sensitivity of 85.2% and a specificity of 85.4% at a cutoff of 0.80. No significant association was observed between serotype and the misclassification of samples by AI. Conclusions: The AI, which is inexpensive and easy-to-perform, can be useful in identifying recent HIV infections in countries where HIV-1 non-B subtypes are prevalent. © 2007 Elsevier B.V. All rights reserved.
Authors & Co-Authors
Suligoi, Barbara
Italy, Rome
Istituto Superiore Di Sanita
Buttò, Stefano
Italy, Rome
Istituto Superiore Di Sanita
Galli, Claudio
Italy, Rome
Abbott Srl
Bernasconi, Daniela
Italy, Rome
Istituto Superiore Di Sanita
Salata, Robert A.
United States, Cleveland
Case School of Medicine
Tavoschi, L.
Italy, Rome
Istituto Superiore Di Sanita
Chiappi, M.
Italy, Rome
Istituto Superiore Di Sanita
Mugyenyi, Peter N.
Uganda, Kampala
Joint Clinical Research Center Uganda
Pimpinelli, Fulvia
Italy, Rome
Irccs Istituto Dermatologico San Gallicano
Kityo, Cissy Mutuluuza
Uganda, Kampala
Joint Clinical Research Center Uganda
Règine, Vincenza
Italy, Rome
Istituto Superiore Di Sanita
Rezza, Giovanni
Italy, Rome
Istituto Superiore Di Sanita
Statistics
Citations: 29
Authors: 12
Affiliations: 5
Identifiers
Doi:
10.1016/j.jcv.2007.11.020
ISSN:
13866532
Research Areas
Infectious Diseases
Study Design
Cohort Study
Study Locations
Uganda