Literature DB >> 15535412

Variability in the interpretation of transmitted genotypic HIV-1 drug resistance and prediction of virological outcomes of the initial HAART by distinct systems.

Andrea De Luca1, Alessandro Cozzi-Lepri, Carlo-Federico Perno, Claudia Balotta, Simona Di Giambenedetto, Antonio Poggio, Gabriella Pagano, Giulia Tositti, Rita Piscopo, Antonio Del Forno, Francesco Chiodo, Giacomo Magnani, Antonella d'Arminio Monforte.   

Abstract

High level HIV-1 drug resistance in recently infected treatment-naive individuals correlates with sub-optimal virological responses to highly active antiretroviral therapy (HAART). To determine whether genotypic HIV-1 drug resistance in chronic naive patients, as interpreted by various systems, could predict the virological outcomes of HAART, isolates from patients enrolled in a prospective observational cohort (ICoNA) prior to treatment start were genotyped. Genotypic susceptibility scores (GSS) assigned to the initial HAART regimens using the interpretations of pre-therapy resistance mutations by 13 systems were related to virological outcomes. Of 415 patients, 42 (10%) had at least one major resistance mutation. According to the different interpretations, 1.9-20.5% of patients had some level of resistance to at least one drug in the initial regimen. In multivariable analysis, GSS from two systems significantly predicted the time to virological success: Rega 5.5, for each unit increase in GSS adjusted relative hazard (RH) 1.86 [95% confidence intervals (95% CI): 1.15-3.02] and hivresistanceWeb v3, RH 1.87 (95% CI: 1.00-3.48). With three other systems, GSS showed a trend towards a significant prediction of success: Retrogram 1.6, RH 2.33 (95% CI: 0.98-5.53), Menéndez 2002, RH 2.36 (95% CI: 0.97-5.72) and Stanford hivdb, RH 2.06 (95% CI: 0.94-4.49). Genotypic resistance testing coupled with adequate interpretation in chronic naive patients can usefully identify those at risk of sub-optimal virological response to HAART. This work was presented in part at the First European Workshop on HIV Drug Resistance. Luxembourg, 4-6 March 2003 (Abstract 44); and at the 9th European Conference on CIinical AIDS Therapy. Warsaw, 25-28 October 2003 (Abstract F6/7).

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Year:  2004        PMID: 15535412

Source DB:  PubMed          Journal:  Antivir Ther        ISSN: 1359-6535


  5 in total

1.  Comparison of algorithms that interpret genotypic HIV-1 drug resistance to determine the prevalence of transmitted drug resistance.

Authors:  Lin Liu; Susanne May; Douglas D Richman; Frederick M Hecht; Martin Markowitz; Eric S Daar; Jean-Pierre Routy; Joseph B Margolick; Ann C Collier; Christopher H Woelk; Susan J Little; Davey M Smith
Journal:  AIDS       Date:  2008-04-23       Impact factor: 4.177

2.  Web resources for HIV type 1 genotypic-resistance test interpretation.

Authors:  Tommy F Liu; Robert W Shafer
Journal:  Clin Infect Dis       Date:  2006-04-28       Impact factor: 9.079

3.  Time trends in primary resistance to HIV drugs in the United Kingdom: multicentre observational study.

Authors:  Patricia Cane; Ian Chrystie; David Dunn; Barry Evans; Anna Maria Geretti; Hannah Green; Andrew Phillips; Deenan Pillay; Kholoud Porter; Anton Pozniak; Caroline Sabin; Erasmus Smit; Jonathan Weber; Mark Zuckerman
Journal:  BMJ       Date:  2005-11-18

4.  Clinical evaluation of Rega 8: an updated genotypic interpretation system that significantly predicts HIV-therapy response.

Authors:  Jurgen Vercauteren; Gertjan Beheydt; Mattia Prosperi; Pieter Libin; Stijn Imbrechts; Ricardo Camacho; Bonaventura Clotet; Andrea De Luca; Zehava Grossman; Rolf Kaiser; Anders Sönnerborg; Carlo Torti; Eric Van Wijngaerden; Jean-Claude Schmit; Maurizio Zazzi; Anna-Maria Geretti; Anne-Mieke Vandamme; Kristel Van Laethem
Journal:  PLoS One       Date:  2013-04-17       Impact factor: 3.240

5.  HIV Drug-Resistant Patient Information Management, Analysis, and Interpretation.

Authors:  Yashik Singh; Maurice Mars
Journal:  JMIR Res Protoc       Date:  2012-06-07
  5 in total

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