Literature DB >> 16254964

Predictive value of drug levels, HIV genotyping, and the genotypic inhibitory quotient (GIQ) on response to saquinavir/ritonavir in antiretroviral-experienced HIV-infected patients.

Luisa Valer1, Carmen de Mendoza, Vincent Soriano.   

Abstract

Plasma levels of HIV protease inhibitors (PI) are often close to IC50 values of wild-type viruses when administered without ritonavir boosting. The impact of drug levels, resistance mutations, and the genotypic inhibitory quotient (GIQ) were examined on the response to saquinavir/ritonavir (SQV/r)-based salvage therapy. Patients with prior exposure to PI other than SQV and currently failing virologically were recruited prospectively in a multicenter trial. All patients began SQV/r 1000/100 mg bid plus another two antiretrovirals. A total of 139 patients was enrolled. At month 12, virological response (VR), defined as plasma HIV-RNA decline >1 log, was recorded in 68.2% of patients on treatment (41.7% in the intent-to-treat analysis). The median baseline number of protease resistance mutations was three. The VR was significantly lower in patients with >5 protease resistance mutations and in those with plasma SQV Cmin<0.1 microg/ml. At week 48, the VR was seen in 77.1% of patients with a GIQ>0.04 compared to 18.2% of those with a lower GIQ (P=0.001). In the multivariate analysis, <or=5 protease resistance mutations and SQV Cmin>0.1 microg/ml were independently associated with VR. Interestingly, drug levels had their highest predictive value of the VR at week 12, since low SQV plasma levels often permitted ruling out poorly adherent patients. In contrast, the number of protease resistance mutations had the highest impact on the VR at week 24, suggesting that for those taking the drugs, the VR is highly dependent of the presence of resistance mutations. At any time, nevertheless, the GIQ provided the most accurate prediction of the VR. Copyright (c) 2005 Wiley-Liss, inc.

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Year:  2005        PMID: 16254964     DOI: 10.1002/jmv.20477

Source DB:  PubMed          Journal:  J Med Virol        ISSN: 0146-6615            Impact factor:   2.327


  7 in total

1.  Relationship between antiretroviral plasma concentration and emergence of HIV-1 resistance mutations at treatment failure.

Authors:  M Fabbiani; L Bracciale; E Ragazzoni; R Santangelo; P Cattani; S Di Giambenedetto; G Fadda; P Navarra; R Cauda; A De Luca
Journal:  Infection       Date:  2011-08-25       Impact factor: 3.553

2.  Interpretation of genotype and pharmacokinetics for resistance to fosamprenavir-ritonavir-based regimens in antiretroviral-experienced patients.

Authors:  Isabelle Pellegrin; Dominique Breilh; Gaelle Coureau; Sébastien Boucher; Didier Neau; Patrick Merel; Denis Lacoste; Hervé Fleury; Marie-Claude Saux; Jean-Luc Pellegrin; Estibaliz Lazaro; François Dabis; Rodolphe Thiébaut
Journal:  Antimicrob Agents Chemother       Date:  2007-02-12       Impact factor: 5.191

3.  Predictive values of the human immunodeficiency virus phenotype and genotype and of amprenavir and lopinavir inhibitory quotients in heavily pretreated patients on a ritonavir-boosted dual-protease-inhibitor regimen.

Authors:  Aurélie Barrail-Tran; Laurence Morand-Joubert; Gwendoline Poizat; Gilles Raguin; Clotilde Le Tiec; François Clavel; Elisabeth Dam; Geneviève Chêne; Pierre-Marie Girard; Anne-Marie Taburet
Journal:  Antimicrob Agents Chemother       Date:  2008-02-19       Impact factor: 5.191

4.  Population pharmacokinetics of ritonavir-boosted saquinavir regimens in HIV-infected individuals.

Authors:  Laura Dickinson; Marta Boffito; David J Back; Saye H Khoo; Anton L Pozniak; Peter Mugyenyi; Concepta Merry; Reshma Saskia Autar; David M Burger; Leon J Aarons
Journal:  J Antimicrob Chemother       Date:  2008-09-29       Impact factor: 5.790

5.  Genotypic susceptibility scores and HIV type 1 RNA responses in treatment-experienced subjects with HIV type 1 infection.

Authors:  Jeffrey A Anderson; Hongyu Jiang; Xiao Ding; Leslie Petch; Terri Journigan; Susan A Fiscus; Richard Haubrich; David Katzenstein; Ronald Swanstrom; Roy M Gulick
Journal:  AIDS Res Hum Retroviruses       Date:  2008-05       Impact factor: 2.205

6.  Pharmacokinetic analysis to assess forgiveness of boosted saquinavir regimens for missed or late dosing.

Authors:  Laura Dickinson; Marta Boffito; Saye H Khoo; Malte Schutz; Leon J Aarons; Anton L Pozniak; David J Back
Journal:  J Antimicrob Chemother       Date:  2008-05-07       Impact factor: 5.790

7.  Two different patterns of mutations are involved in the genotypic resistance score for atazanavir boosted versus unboosted by ritonavir in multiple failing patients.

Authors:  M M Santoro; A Bertoli; P Lorenzini; F Ceccherini-Silberstein; N Gianotti; C Mussini; C Torti; G Di Perri; G Barbarini; T Bini; S Melzi; P Caramello; R Maserati; P Narciso; V Micheli; A Antinori; C F Perno
Journal:  Infection       Date:  2009-01-23       Impact factor: 3.553

  7 in total

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