Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time

Dineke Frentz, Charles A B Boucher, Matthias Assel, Andrea de Luca, Massimiliano Fabbiani, Francesca Incardona, Pieter Libin, Nino Manca, Viktor Müller, Breanndán Ó Nualláin, Roger Paredes, Mattia Prosperi, Eugenia Quiros-Roldan, Lidia Ruiz, Peter M A Sloot, Carlo Torti, Anne Mieke Vandamme, Kristel van Laethem, Maurizio Zazzi, David A M C van de Vijver

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Background: Several decision support systems have been developed to interpret HIV-1 drug resistance genotyping results. This study compares the ability of the most commonly used systems (ANRS, Rega, and Stanford's HIVdb) to predict virological outcome at 12, 24, and 48 weeks. Methodology/Principal Findings: Included were 3763 treatment-change episodes (TCEs) for which a HIV-1 genotype was available at the time of changing treatment with at least one follow-up viral load measurement. Genotypic susceptibility scores for the active regimens were calculated using scores defined by each interpretation system. Using logistic regression, we determined the association between the genotypic susceptibility score and proportion of TCEs having an undetectable viral load (
    Original languageEnglish
    Article numbere11505
    JournalPLoS ONE
    Volume5
    Issue number7
    DOIs
    Publication statusPublished - 2010

    Fingerprint

    Dive into the research topics of 'Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time'. Together they form a unique fingerprint.

    Cite this