The application of Avidity Index testing to identify recent HIV infection

Abstract number: 1135_168

McDonnell S., Connell J.

Valuable epidemiological data can be obtained by determining the incidence if new HIV infection. Currently the only FDA approved system to determine how recent a HIV-1 infection occurred is STARHS – Serologic Test Algorithm for Recent HIV Seroconversion. This presentation describes the application of avidity index (AI) testing to determine how recent HIV-1 infection was acquired. The protocol involved the modification of Bioelisa HIV-1+2 (rec) (BIOKIT), by the introduction of a dissociation step, which resulted in the disruption of the binding between antibody and antigen. The assay protocol was developed and evaluated using well characterised samples collected from HIV infected individuals using a range of serological and molecular assays. An AI of 60% was identified as a threshold below which HIV infection probably occurred within the previous 90 days. Avidity index has the advantage of determining the relative timing of HIV infection using only one sample, which is often the case when performing unlinked epidemiological investigation. Data will be presented showing the application of the assay to the investigation of newly identified HIV infection.

Session Details

Date: 01/08/2007
Time: 00:00-00:00
Session name: XXIst ISTH Congress
Location: Oxford, UK
Presentation type:
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