Literature DB >> 11964529

Phenotypic or genotypic resistance testing for choosing antiretroviral therapy after treatment failure: a randomized trial.

Jean-Luc Meynard1, Muriel Vray, Laurence Morand-Joubert, Esther Race, Diane Descamps, Gilles Peytavin, Sophie Matheron, Claire Lamotte, Sonia Guiramand, Dominique Costagliola, Françoise Brun-Vézinet, François Clavel, Pierre-Marie Girard.   

Abstract

OBJECTIVE: To assess the respective value of phenotype versus genotype versus standard of care for choosing antiretroviral therapy in patients failing protease inhibitor-containing regimens.
METHODS: Patients with plasma HIV-1 RNA exceeding 1000 copies/ml were randomly allocated to phenotyping, genotyping, or standard of care.
RESULTS: Five-hundred and forty-one patients were randomized, 190 to phenotyping, 192 to genotyping and 159 to standard of care. The baseline median CD4 cell count (280 x 106 cells/l), the plasma HIV-1 RNA level (4.3 log10 copies/ml), and the number of drugs previously received (n = 6) were similar in the three arms. More patients in the standard-of-care arm received at least three new drugs (55% versus 20% in the other arms; P < 0.001) and a regimen containing drugs from the three different classes. Plasma HIV-1 RNA was < 200 copies/ml at week 12 in 35% of patients in the phenotyping arm, 44% in the genotyping arm and 36% in the standard-of-care arm (phenotyping versus standard of care, P = 0.918; genotyping versus standard of care, P = 0.120). In a secondary analysis of 179 patients experiencing a first protease inhibitor failure, the percentage of patients achieving HIV-1 RNA < 200 copies/ml was significantly higher in the genotyping arm (65%) than in the phenotyping (45%) and the standard-of-care arms (45%) (genotyping versus standard of care, P = 0.022).
CONCLUSIONS: Overall, resistance assays did not demonstrate benefit over standard of care. In patients with the most limited protease inhibitor experience, a significant benefit was observed in the genotyping arm.

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Year:  2002        PMID: 11964529     DOI: 10.1097/00002030-200203290-00008

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  45 in total

1.  HIV-1 protease and reverse transcriptase mutation patterns responsible for discordances between genotypic drug resistance interpretation algorithms.

Authors:  Jaideep Ravela; Bradley J Betts; Francoise Brun-Vézinet; Anne-Mieke Vandamme; Diane Descamps; Kristel van Laethem; Kate Smith; Jonathan M Schapiro; Dean L Winslow; Caroline Reid; Robert W Shafer
Journal:  J Acquir Immune Defic Syndr       Date:  2003-05-01       Impact factor: 3.731

2.  Predicting tipranavir and darunavir resistance using genotypic, phenotypic, and virtual phenotypic resistance patterns: an independent cohort analysis of clinical isolates highly resistant to all other protease inhibitors.

Authors:  Annie Talbot; Philip Grant; Jonathan Taylor; Jean-Guy Baril; Tommy Fulisma Liu; Hugues Charest; Bluma Brenner; Michel Roger; Robert Shafer; Régis Cantin; Andrew Zolopa
Journal:  Antimicrob Agents Chemother       Date:  2010-04-05       Impact factor: 5.191

Review 3.  Clinical management of treatment-experienced, HIV/AIDS patients in the combination antiretroviral therapy era.

Authors:  Mark A Boyd; Andrew M Hill
Journal:  Pharmacoeconomics       Date:  2010       Impact factor: 4.981

4.  Genotypic and phenotypic resistance testing of HIV-1 in routine clinical care.

Authors:  H H Hirsch; H Drechsler; A Holbro; F Hamy; P Sendi; K Petrovic; T Klimkait; M Battegay
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2005-11       Impact factor: 3.267

5.  The HIV-1 Non-subtype B Workgroup: an international collaboration for the collection and analysis of HIV-1 non-subtype B data.

Authors:  Rami Kantor; Robert W Shafer; David Katzenstein
Journal:  MedGenMed       Date:  2005-02-23

Review 6.  HIV-1 protease and reverse transcriptase mutations for drug resistance surveillance.

Authors:  Robert W Shafer; Soo-Yon Rhee; Deenan Pillay; Veronica Miller; Paul Sandstrom; Jonathan M Schapiro; Daniel R Kuritzkes; Diane Bennett
Journal:  AIDS       Date:  2007-01-11       Impact factor: 4.177

7.  Discordances between interpretation algorithms for genotypic resistance to protease and reverse transcriptase inhibitors of human immunodeficiency virus are subtype dependent.

Authors:  Joke Snoeck; Rami Kantor; Robert W Shafer; Kristel Van Laethem; Koen Deforche; Ana Patricia Carvalho; Brian Wynhoven; Marcelo A Soares; Patricia Cane; John Clarke; Candice Pillay; Sunee Sirivichayakul; Koya Ariyoshi; Africa Holguin; Hagit Rudich; Rosangela Rodrigues; Maria Belen Bouzas; Françoise Brun-Vézinet; Caroline Reid; Pedro Cahn; Luis Fernando Brigido; Zehava Grossman; Vincent Soriano; Wataru Sugiura; Praphan Phanuphak; Lynn Morris; Jonathan Weber; Deenan Pillay; Amilcar Tanuri; Richard P Harrigan; Ricardo Camacho; Jonathan M Schapiro; David Katzenstein; Anne-Mieke Vandamme
Journal:  Antimicrob Agents Chemother       Date:  2006-02       Impact factor: 5.191

8.  Quantification of the effects on viral DNA synthesis of reverse transcriptase mutations conferring human immunodeficiency virus type 1 resistance to nucleoside analogues.

Authors:  Francine Bouchonnet; Elisabeth Dam; Fabrizio Mammano; Vaea de Soultrait; Gaëlle Henneré; Henri Benech; François Clavel; Allan J Hance
Journal:  J Virol       Date:  2005-01       Impact factor: 5.103

Review 9.  Implementing HIV-1 genotypic resistance testing in antiretroviral therapy programs in Africa: needs, opportunities, and challenges.

Authors:  Richard J Lessells; Ava Avalos; Tulio de Oliveira
Journal:  AIDS Rev       Date:  2013 Oct-Dec       Impact factor: 2.500

10.  The long-term benefits of genotypic resistance testing in patients with extensive prior antiretroviral therapy: a model-based approach.

Authors:  Y Yazdanpanah; M Vray; J Meynard; E Losina; M C Weinstein; L Morand-Joubert; S J Goldie; H E Hsu; R P Walensky; C Dalban; P E Sax; P M Girard; K A Freedberg
Journal:  HIV Med       Date:  2007-10       Impact factor: 3.180

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