Literature DB >> 10969346

Economic evaluation of drug resistance genotyping for the adaptation of treatment in HIV-infected patients in the VIRADAPT study.

C Chaix1, C Grenier-Sennelier, P Clevenbergh, J Durant, J M Schapiro, P Dellamonica, I Durand-Zaleski.   

Abstract

BACKGROUND: Costs of antiretroviral therapy for HIV-infected patients have increased at a time when most countries are attempting to contain health care costs. Part of this increase results from HIV drug resistance associated with virologic failure and a subsequent shift to more complex and costly therapies. Genotypic guided treatment is associated with better virologic outcome. However, it is not yet known whether it will be cost effective.
METHODS: We present here an economic evaluation based on the results from the VIRADAPT study, a prospective, open-label, randomized trial comparing patients assigned to standard of care (n = 43), versus genotypic guided treatment (n = 64) for 6 months. Total follow-up for the extended trial was 1 year. Costs were computed from the viewpoint of the health care system. Hospitalization data were retrieved from the VIRADAPT study case report forms, costs were estimated from the cost of the corresponding diagnosis-related groups derived from the French national cost data base: these were actual costs and not charges. Data on the volume of tests prescribed, drugs, and clinic visits were retrieved from the VIRADAPT study database. The unit costs of tests and clinic visits were determined using the French national Social Security reimbursement price; costing of drugs used were based upon purchase price by either retail pharmacies or hospitals. Genotyping using TruGene HIV-1 assay was estimated at $500 per test from manufacturer's data (all figures in this paper are expressed in U.S. dollars).
RESULTS: Total mean (standard deviation) yearly costs per patients were $20,412 (+/-$10, 129) in the standard of care group and $18,484 (+/-$9,652) in the genotyping group (p =.35). Drug costs represented 55% of total costs. There was a trend toward a decrease in drug costs in the genotyping arm (p =.07), the greatest reduction being in the decreased use of protease inhibitors in the genotyping arm. The additional expense of genotyping appeared to be offset by the savings obtained in drug costs.
CONCLUSION: In our study, the cost of drug resistance testing is offset by a reduced use of protease inhibitors and their attendant costs. Although not reaching statistical significance, this trend in the reduction of drug costs and drug use presents a great interest for future trials.

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Year:  2000        PMID: 10969346     DOI: 10.1097/00126334-200007010-00005

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  6 in total

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

Authors:  C Chaix-Couturier; C Holtzer; K A Phillips; I Durand-Zaleski; J Stansell
Journal:  Pharmacoeconomics       Date:  2000-11       Impact factor: 4.981

Review 2.  HIV disease and advanced age: an increasing therapeutic challenge.

Authors:  Roberto Manfredi
Journal:  Drugs Aging       Date:  2002       Impact factor: 3.923

3.  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

4.  The cost-effectiveness of counseling strategies to improve adherence to highly active antiretroviral therapy among men who have sex with men.

Authors:  Gregory S Zaric; Ahmed M Bayoumi; Margaret L Brandeau; Douglas K Owens
Journal:  Med Decis Making       Date:  2008-03-18       Impact factor: 2.583

5.  Cost-effectiveness of genotypic antiretroviral resistance testing in HIV-infected patients with treatment failure.

Authors:  Pedram Sendi; Huldrych F Günthard; Mathew Simcock; Bruno Ledergerber; Jörg Schüpbach; Manuel Battegay
Journal:  PLoS One       Date:  2007-01-24       Impact factor: 3.240

6.  A randomised trial comparing genotypic and virtual phenotypic interpretation of HIV drug resistance: the CREST study.

Authors:  Gillian Hales; Chris Birch; Suzanne Crowe; Cassy Workman; Jennifer F Hoy; Matthew G Law; Anthony D Kelleher; Douglas Lincoln; Sean Emery
Journal:  PLoS Clin Trials       Date:  2006-07-28
  6 in total

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