Publication: HIV Cure Strategies: How Good Must They Be to Improve on Current Antiretroviral Therapy?
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Date
2014
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Public Library of Science
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Citation
Sax, P. E., A. Sypek, B. K. Berkowitz, B. L. Morris, E. Losina, A. D. Paltiel, K. A. Kelly, et al. 2014. “HIV Cure Strategies: How Good Must They Be to Improve on Current Antiretroviral Therapy?” PLoS ONE 9 (11): e113031. doi:10.1371/journal.pone.0113031. http://dx.doi.org/10.1371/journal.pone.0113031.
Research Data
Abstract
Background: We examined efficacy, toxicity, relapse, cost, and quality-of-life thresholds of hypothetical HIV cure interventions that would make them cost-effective compared to life-long antiretroviral therapy (ART). Methods: We used a computer simulation model to assess three HIV cure strategies: Gene Therapy, Chemotherapy, and Stem Cell Transplantation (SCT), each compared to ART. Efficacy and cost parameters were varied widely in sensitivity analysis. Outcomes included quality-adjusted life expectancy, lifetime cost, and cost-effectiveness in dollars/quality-adjusted life year ($/QALY) gained. Strategies were deemed cost-effective with incremental cost-effectiveness ratios <$100,000/QALY. Results: For patients on ART, discounted quality-adjusted life expectancy was 16.4 years and lifetime costs were $591,400. Gene Therapy was cost-effective with efficacy of 10%, relapse rate 0.5%/month, and cost $54,000. Chemotherapy was cost-effective with efficacy of 88%, relapse rate 0.5%/month, and cost $12,400/month for 24 months. At $150,000/procedure, SCT was cost-effective with efficacy of 79% and relapse rate 0.5%/month. Moderate efficacy increases and cost reductions made Gene Therapy cost-saving, but substantial efficacy/cost changes were needed to make Chemotherapy or SCT cost-saving. Conclusions: Depending on efficacy, relapse rate, and cost, cure strategies could be cost-effective compared to current ART and potentially cost-saving. These results may help provide performance targets for developing cure strategies for HIV.
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Keywords
Biology and Life Sciences, Computational Biology, Population Modeling, Infectious Disease Modeling, Engineering and Technology, Management Engineering, Decision Analysis, Medicine and health sciences, Infectious diseases, Viral diseases, HIV infections, Simulation and Modeling, Mathematical Modeling, Social Sciences, Economics, Economic Analysis, Cost-Effectiveness Analysis
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