Literature DB >> 18710915

Virologic response to lopinavir-ritonavir-based antiretroviral regimens in a multicenter international clinical cohort: comparison of genotypic interpretation scores.

Philip Grant1, Eric C Wong, Richard Rode, Robert Shafer, Andrea De Luca, Jeffrey Nadler, Trevor Hawkins, Calvin Cohen, Robert Harrington, Dale Kempf, Andrew Zolopa.   

Abstract

Several genotypic interpretation scores have been proposed for the evaluation of susceptibility to lopinavir/ritonavir (LPV/r) but have not been compared using an independent data set. This study was a retrospective multicenter cohort of patients initiating LPV/r-based therapy. The virologic response (VR) was defined as a viral load of <500 copies/ml at week 24. The genotypic interpretation scores surveyed were the LPV mutation score, the ViroLogic score, the ATU score, the Stanford database score, and the International AIDS Society-USA mutation list. Of the 103 patients included in the analysis, 76% achieved VR at 24 weeks. For scores with clinical breakpoints defined (LPV mutation, ATU, ViroLogic, and Stanford), over 80% of the patients below the breakpoints achieved VR, while 50% or less above the breakpoints responded. Protease mutations at positions 10, 54, and 82 and at positions 54, 84, and 90 were associated with a lack of VR in the univariate and multivariate analyses, respectively. The area under the receiver-operator characteristic curves for the five genotypic interpretation scores studied ranged from 0.73 to 0.76. The study confirms that the currently available genotypic interpretation scores which are widely used by clinicians performed similarly well and can be effectively used to predict the virologic activity of LPV/r in treatment-experienced patients.

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Year:  2008        PMID: 18710915      PMCID: PMC2573134          DOI: 10.1128/AAC.00605-08

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  15 in total

1.  Analysis of the virological response with respect to baseline viral phenotype and genotype in protease inhibitor-experienced HIV-1-infected patients receiving lopinavir/ritonavir therapy.

Authors:  Dale J Kempf; Jeffrey D Isaacson; Martin S King; Scott C Brun; Jacquelyn Sylte; Bruce Richards; Barry Bernstein; Richard Rode; Eugene Sun
Journal:  Antivir Ther       Date:  2002-09

2.  The ability of four genotypic interpretation systems to predict virological response to ritonavir-boosted protease inhibitors.

Authors:  Zoe V Fox; Anna Maria Geretti; Jesper Kjaer; Ulrik Bak Dragsted; Andrew N Phillips; Jan Gerstoft; Schlomo Staszewski; Bonaventura Clotet; Viktor von Wyl; Jens D Lundgren
Journal:  AIDS       Date:  2007-10-01       Impact factor: 4.177

3.  Durable efficacy of tipranavir-ritonavir in combination with an optimised background regimen of antiretroviral drugs for treatment-experienced HIV-1-infected patients at 48 weeks in the Randomized Evaluation of Strategic Intervention in multi-drug reSistant patients with Tipranavir (RESIST) studies: an analysis of combined data from two randomised open-label trials.

Authors:  Charles B Hicks; Pedro Cahn; David A Cooper; Sharon L Walmsley; Christine Katlama; Bonaventura Clotet; Adriano Lazzarin; Margaret A Johnson; Dietmar Neubacher; Douglas Mayers; Hernan Valdez
Journal:  Lancet       Date:  2006-08-05       Impact factor: 79.321

4.  HIV-1 genotypic resistance patterns predict response to saquinavir-ritonavir therapy in patients in whom previous protease inhibitor therapy had failed.

Authors:  A R Zolopa; R W Shafer; A Warford; J G Montoya; P Hsu; D Katzenstein; T C Merigan; B Efron
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5.  A randomized controlled trial of the value of phenotypic testing in addition to genotypic testing for HIV drug resistance: evaluation of resistance assays (ERA) trial investigators.

Authors:  D T Dunn; H Green; C Loveday; A Rinehart; D Pillay; M Fisher; S McCormack; A G Babiker; J H Darbyshire
Journal:  J Acquir Immune Defic Syndr       Date:  2005-04-15       Impact factor: 3.731

6.  Improving lopinavir genotype algorithm through phenotype correlations: novel mutation patterns and amprenavir cross-resistance.

Authors:  Neil T Parkin; Colombe Chappey; Christos J Petropoulos
Journal:  AIDS       Date:  2003-05-02       Impact factor: 4.177

7.  Atazanavir plus ritonavir or saquinavir, and lopinavir/ritonavir in patients experiencing multiple virological failures.

Authors:  Margaret Johnson; Beatriz Grinsztejn; Claudia Rodriguez; Jeffrey Coco; Edwin DeJesus; Adriano Lazzarin; Kenneth Lichtenstein; Anna Rightmire; Serap Sankoh; Richard Wilber
Journal:  AIDS       Date:  2005-04-29       Impact factor: 4.177

8.  Declining morbidity and mortality among patients with advanced human immunodeficiency virus infection. HIV Outpatient Study Investigators.

Authors:  F J Palella; K M Delaney; A C Moorman; M O Loveless; J Fuhrer; G A Satten; D J Aschman; S D Holmberg
Journal:  N Engl J Med       Date:  1998-03-26       Impact factor: 91.245

9.  Changing patterns of mortality across Europe in patients infected with HIV-1. EuroSIDA Study Group.

Authors:  A Mocroft; S Vella; T L Benfield; A Chiesi; V Miller; P Gargalianos; A d'Arminio Monforte; I Yust; J N Bruun; A N Phillips; J D Lundgren
Journal:  Lancet       Date:  1998-11-28       Impact factor: 79.321

10.  Lopinavir-ritonavir versus nelfinavir for the initial treatment of HIV infection.

Authors:  Sharon Walmsley; Barry Bernstein; Martin King; José Arribas; Gildon Beall; Peter Ruane; Margaret Johnson; David Johnson; Richard Lalonde; Anthony Japour; Scott Brun; Eugene Sun
Journal:  N Engl J Med       Date:  2002-06-27       Impact factor: 91.245

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  4 in total

Review 1.  Lopinavir/Ritonavir: a review of its use in the management of HIV-1 infection.

Authors:  Jamie D Croxtall; Caroline M Perry
Journal:  Drugs       Date:  2010-10-01       Impact factor: 9.546

2.  Standardized representation, visualization and searchable repository of antiretroviral treatment-change episodes.

Authors:  Soo-Yon Rhee; Jose Luis Blanco; Tommy F Liu; Iñaki Pere; Rolf Kaiser; Maurizio Zazzi; Francesca Incardona; William Towner; Josep Maria Gatell; Andrea De Luca; W Jeffrey Fessel; Robert W Shafer
Journal:  AIDS Res Ther       Date:  2012-05-03       Impact factor: 2.250

3.  Can linear regression modeling help clinicians in the interpretation of genotypic resistance data? An application to derive a lopinavir-score.

Authors:  Alessandro Cozzi-Lepri; Mattia C F Prosperi; Jesper Kjær; David Dunn; Roger Paredes; Caroline A Sabin; Jens D Lundgren; Andrew N Phillips; Deenan Pillay
Journal:  PLoS One       Date:  2011-11-16       Impact factor: 3.240

Review 4.  Current perspectives on HIV-1 antiretroviral drug resistance.

Authors:  Pinar Iyidogan; Karen S Anderson
Journal:  Viruses       Date:  2014-10-24       Impact factor: 5.048

  4 in total

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