BACKGROUND: Practice guidelines recommending Mycobacterium avium complex (MAC) prophylaxis for patients with HIV disease were based on clinical trials in which individuals did not receive protease inhibitors. OBJECTIVE: To estimate the cost-effectiveness of strategies for MAC prophylaxis in patients whose treatment regimen includes protease inhibitors. DESIGN: Decision analysis with Markov modelling of the natural history of advanced HIV disease. Five strategies were evaluated: no prophylaxis, azithromycin, rifabutin, clarithromycin and a combination of azithromycin plus rifabutin. MAIN OUTCOME MEASURES: Survival, quality of life, quality-adjusted survival, health care costs and marginal cost-effectiveness ratios. RESULTS: Compared with no prophylaxis, rifabutin increased life expectancy from 78 to 80 months, increased quality-adjusted life expectancy from 50 to 52 quality-adjusted months and increased health care costs from $233000 to $239800. Ignoring time discounting and quality of life, the cost-effectiveness of rifabutin relative to no prophylaxis was $44300 per life year. Adjusting for time discounting and quality of life, the cost-effectiveness of rifabutin relative to no prophylaxis was $41500 per quality-adjusted life year (QALY). In comparison with rifabutin, azithromycin was associated with increased survival, increased costs and an incremental cost-effectiveness ratio of $54300 per QALY. In sensitivity analyses, prophylaxis remained economically attractive unless the lifetime chance of being diagnosed with MAC was less than 20%, the rate of CD4 count decline was less than 10 x 10(6) cells/l per year, or the CD4 count was greater than 50 x 10(6) cells/l. CONCLUSION: MAC prophylaxis increases quality-adjusted survival at a reasonable cost, even in patients using protease inhibitors. When not contraindicated, starting azithromycin or rifabutin when the patient's CD4 count is between 50 and 75 x 10(6) cells/l is the most cost-effective strategy. The main determinants of cost-effectiveness are CD4 count, viral load, place of residence and patient preference.
BACKGROUND: Practice guidelines recommending Mycobacterium avium complex (MAC) prophylaxis for patients with HIV disease were based on clinical trials in which individuals did not receive protease inhibitors. OBJECTIVE: To estimate the cost-effectiveness of strategies for MAC prophylaxis in patients whose treatment regimen includes protease inhibitors. DESIGN: Decision analysis with Markov modelling of the natural history of advanced HIV disease. Five strategies were evaluated: no prophylaxis, azithromycin, rifabutin, clarithromycin and a combination of azithromycin plus rifabutin. MAIN OUTCOME MEASURES: Survival, quality of life, quality-adjusted survival, health care costs and marginal cost-effectiveness ratios. RESULTS: Compared with no prophylaxis, rifabutin increased life expectancy from 78 to 80 months, increased quality-adjusted life expectancy from 50 to 52 quality-adjusted months and increased health care costs from $233000 to $239800. Ignoring time discounting and quality of life, the cost-effectiveness of rifabutin relative to no prophylaxis was $44300 per life year. Adjusting for time discounting and quality of life, the cost-effectiveness of rifabutin relative to no prophylaxis was $41500 per quality-adjusted life year (QALY). In comparison with rifabutin, azithromycin was associated with increased survival, increased costs and an incremental cost-effectiveness ratio of $54300 per QALY. In sensitivity analyses, prophylaxis remained economically attractive unless the lifetime chance of being diagnosed with MAC was less than 20%, the rate of CD4 count decline was less than 10 x 10(6) cells/l per year, or the CD4 count was greater than 50 x 10(6) cells/l. CONCLUSION:MAC prophylaxis increases quality-adjusted survival at a reasonable cost, even in patients using protease inhibitors. When not contraindicated, starting azithromycin or rifabutin when the patient's CD4 count is between 50 and 75 x 10(6) cells/l is the most cost-effective strategy. The main determinants of cost-effectiveness are CD4 count, viral load, place of residence and patient preference.
Authors: Shyoko Honiden; Vandana Sundaram; Robert F Nease; Mark Holodniy; Laura C Lazzeroni; Andrew Zolopa; Douglas K Owens Journal: Qual Life Res Date: 2006-02 Impact factor: 4.147
Authors: S P Tole; G D Sanders; A M Bayoumi; C M Galvin; T N Vinichenko; M L Brandeau; D K Owens Journal: Int J STD AIDS Date: 2009-01 Impact factor: 1.359
Authors: Kit N Simpson; Pamela P Pei; Jörgen Möller; Robert W Baran; Birgitta Dietz; William Woodward; Kristen Migliaccio-Walle; J Jaime Caro Journal: Pharmacoeconomics Date: 2013-05 Impact factor: 4.558
Authors: Kenneth A Freedberg; Cristina Possas; Steven Deeks; Anna Laura Ross; Katherine L Rosettie; Michele Di Mascio; Chris Collins; Rochelle P Walensky; Yazdan Yazdanpanah Journal: J Virus Erad Date: 2015-09-27