ArticlePharmacoEconomics2010
US cost effectiveness of darunavir/ritonavir 600/100 mg bid in treatment-experienced, HIV-infected adults with evidence of protease inhibitor resistance included in the TITAN Trial.
Article in PharmacoEconomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Simulation modeling for the design and evaluation of HIV drug resistance interventions: a systematic review of literature.BMC public health · 2026Pooled it
- Research trends in contemporary health economics: a scientometric analysis on collective content of specialty journals.Health economics review · 2024Review
- Management of Antiretroviral Therapy with Boosted Protease Inhibitors-Darunavir/Ritonavir or Darunavir/Cobicistat.Biomedicines · 2021Review
- US-Based Drug Cost Parameter Estimation for Economic Evaluations.Medical decision making : an international journal of the Society for Medical Decision Making · 2015Article
- A narrative review of cost-effectiveness analysis of people living with HIV treated with HAART: from interventions to outcomes.ClinicoEconomics and outcomes research : CEOR · 2015Review
- Cost effectiveness of darunavir/ritonavir combination antiretroviral therapy for treatment-naive adults with HIV-1 infection in Canada.PharmacoEconomics · 2014Article
- Review
- Article
- Cost-effectiveness of newer antiretroviral drugs in treatment-experienced patients with multidrug-resistant HIV disease.Journal of acquired immune deficiency syndromes (1999) · 2013Article
- A methodological review of models used to estimate the cost effectiveness of antiretroviral regimens for the treatment of HIV infection.PharmacoEconomics · 2013Review
- Modelling the budget impact of darunavir in the treatment of highly treatment-experienced, HIV-infected adults in France.PharmacoEconomics · 2010Article
- A review of economic evaluations of darunavir boosted by low-dose ritonavir in treatment-experienced persons living with HIV infection.PharmacoEconomics · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe phase III TITAN trial evaluated the use of darunavir with low-dose ritonavir (DRV/r) 600/100 mg twice daily (bid) compared with lopinavir with low-dose ritonavir (LPV/r) in treatment-experienced, lopinavir-naive patients. This study estimates the cost effectiveness of DRV/r from a US societal perspective when compared with LPV/r in treatment-experienced patients with a profile similar to those TITAN patients who had one or more International AIDS Society - USA (IAS-USA) primary protease inhibitor (PI) resistance-associated mutations (RAMs) at baseline. This population had less advanced HIV disease and a broader range of previous PI exposure/failure (0 - ≥ 2 PIs) at enrollment than those in the darunavir phase IIb POWER trials.
methodsAn existing Markov model containing six health states defined by CD4 cell count range (>500, 351-500, 201-350, 101-200, 51-100 and 0-50 cells/mm³) and an absorbing state of death was adapted. Baseline demographics, CD4 cell count distribution and antiretroviral drug usage, virological response (at week 24), and immunological response estimates and matching transition probabilities were based on data collected directly from the one or more IAS-USA PI mutation subpopulation during the first 48 weeks of the TITAN trial, as well as from published literature. Patients were assumed to switch to a regimen containing tipranavir plus an optimized background regimen after treatment failure. For each CD4 cell count range or health state, the utility values, HIV and non-HIV-related mortality rates, and non-antiretroviral-related cost of HIV care estimates were derived from published literature. Unit costs were derived from official local sources. A lifetime horizon was taken in the base-case analysis.
resultsThe base-case analysis predicted discounted quality-adjusted survival gains of 0.493 quality-adjusted life-years (QALYs) for DRV/r compared with LPV/r, resulting in an incremental cost-effectiveness ratio (ICER) of US$23,057 per QALY gained over a lifetime horizon. Probabilistic sensitivity analysis indicated a 0.754 probability of an ICER below the threshold of US$50,000 per QALY gained. DRV/r remained cost effective over all parameter ranges tested in extensive one-way sensitivity analyses and variability analyses, which examined the impact of input parameter uncertainty and changes in model assumptions and treatment patterns, respectively. Shortening the model time horizon had the largest impact on the ICER, reducing it most notably to US$4919 with a 10-year time horizon.
conclusionFrom a US societal perspective and based on an analysis of the patients with primary IAS-USA PI RAMs enrolled in the darunavir phase III TITAN trial, a highly active antiretroviral therapy (HAART) regimen containing DRV/r 600/100 mg bid is estimated to be a cost-effective therapy when compared with a HAART regimen containing LPV/r, for the management of treatment-experienced, PI-resistant, HIV-infected adults with a broad range of previous PI use/failure.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.