Literature DB >> 11151396

HIV-1 drug resistance genotyping. A review of clinical and economic issues.

C Chaix-Couturier1, C Holtzer, K A Phillips, I Durand-Zaleski, J Stansell.   

Abstract

The development of mutations associated with resistance to antiretroviral therapy (ART) has been shown to be a major cause of treatment failure in patients infected with HIV-1. These resistance mutations can be assessed by a genotyping test that probes for specific mutations within the HIV genome or sequences specific genes, at a cost $US500/test (2000 prices). The stated goal of HIV-1 genotyping is to target HIV therapy effectively. This, as shown in the preliminary research, should result in better clinical outcomes and a lower incidence of virological failure and may be associated with lower costs of treatment. Failure of ART may result in an increase in costs of at least $US250 per patient per month, as assessed in 1 study, with costs rising further as patients experience multiple virological failures. Therefore, there is an economic as well as a therapeutic premium on the prevention of ART failure. The actual economic cost of genotyping has been preliminarily explored in the context of the antiretroVIRal ADAPTation (VIRADAPT) trial, which found no significant difference in the 1-year treatment cost of patients with and without genotyping. There is some evidence of cost neutrality or savings with genotypic testing but it needs to be further explored within the context of carefully framed prospective trials.

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Year:  2000        PMID: 11151396     DOI: 10.2165/00019053-200018050-00002

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  26 in total

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Journal:  AIDS       Date:  1998-10-01       Impact factor: 4.177

2.  HIV treatment failure: testing for HIV resistance in clinical practice.

Authors:  L Perrin; A Telenti
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Journal:  Science       Date:  1996-03-15       Impact factor: 47.728

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Authors:  J W Drake
Journal:  Proc Natl Acad Sci U S A       Date:  1993-05-01       Impact factor: 11.205

6.  Variations in the care of HIV-infected adults in the United States: results from the HIV Cost and Services Utilization Study.

Authors:  M F Shapiro; S C Morton; D F McCaffrey; J W Senterfitt; J A Fleishman; J F Perlman; L A Athey; J W Keesey; D P Goldman; S H Berry; S A Bozzette
Journal:  JAMA       Date:  1999 Jun 23-30       Impact factor: 56.272

Review 7.  How good are US studies of HIV costs of care?

Authors:  L Rabeneck; T Menke; N P Wray
Journal:  Med Care       Date:  1999-08       Impact factor: 2.983

8.  Decreased medical expenditures for care of HIV-seropositive patients. The impact of highly active antiretroviral therapy at a US Veterans Affairs Medical Center.

Authors:  L Mole; K Ockrim; M Holodniy
Journal:  Pharmacoeconomics       Date:  1999-09       Impact factor: 4.981

9.  Persisting long-term benefit of genotype-guided treatment for HIV-infected patients failing HAART. The Viradapt Study: week 48 follow-up.

Authors:  P Clevenbergh; J Durant; P Halfon; P del Giudice; V Mondain; N Montagne; J M Schapiro; C A Boucher; P Dellamonica
Journal:  Antivir Ther       Date:  2000-03

10.  Rapid turnover of plasma virions and CD4 lymphocytes in HIV-1 infection.

Authors:  D D Ho; A U Neumann; A S Perelson; W Chen; J M Leonard; M Markowitz
Journal:  Nature       Date:  1995-01-12       Impact factor: 49.962

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  4 in total

1.  [Economic aspects of ambulatory and inpatient treatment of HIV positive patients].

Authors:  M Stoll; R E Schmidt
Journal:  Internist (Berl)       Date:  2003-06       Impact factor: 0.743

2.  Computational mutation scanning and drug resistance mechanisms of HIV-1 protease inhibitors.

Authors:  Ge-Fei Hao; Guang-Fu Yang; Chang-Guo Zhan
Journal:  J Phys Chem B       Date:  2010-07-29       Impact factor: 2.991

Review 3.  Pharmacoeconomic evaluations of pharmacogenetic and genomic screening programmes: a systematic review on content and adherence to guidelines.

Authors:  Stefan Vegter; Cornelis Boersma; Mark Rozenbaum; Bob Wilffert; Gerjan Navis; Maarten J Postma
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

4.  Identifying representative drug resistant mutants of HIV.

Authors:  Xiaxia Yu; Irene T Weber; Robert W Harrison
Journal:  BMC Bioinformatics       Date:  2015-12-07       Impact factor: 3.169

  4 in total

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