BACKGROUND: Given the association between CD4 cell counts and HIV-related morbidity/mortality, new antiretroviral therapies could potentially lower the direct costs of HIV care by raising CD4 cell counts. OBJECTIVES: To predict the effects of the ritonavir-boosted, HIV protease inhibitor (PI) darunavir on the direct costs of care, while accounting for CD4 cell counts, during the first year of therapy in highly treatment-experienced, HIV-infected adults in different healthcare settings. METHODS: The mean annual per-patient cost of darunavir/ritonavir (DRV/r) and control PI-based highly active antiretroviral therapy (HAART) was calculated from the proportional use of antiretroviral agents in the DRV/r and control PI arms of the pooled POWER 1 and 2 trials, applying drug-acquisition costs for five healthcare settings. Non-antiretroviral-related costs by CD4 cell count, derived from non-interventional studies in the same settings, were applied to the POWER data (proportion of patients with CD4 cell counts in different strata at week 48) to estimate mean annual non-antiretroviral-related costs per patient in patients receiving DRV/r or control PI-based HAART during year 1. RESULTS: Across all settings, the mean annual per-patient cost of DRV/r-based treatment was 2-19% higher than that of control PI-based therapy during the first year of therapy. By raising CD4 cell counts, however, DRV/r-based regimens were predicted to lower mean annual non-antiretroviral-related costs by 16-38% compared with control PI-based therapy. When combined, the total annual per-patient cost of HIV care during the first year of therapy was estimated to be 7% lower in the DRV/r compared with the control PI arm using US data, 8% lower using Swedish data, budget neutral using UK and Belgian data and 5% higher using Italian data. CONCLUSIONS: Darunavir-based HAART may lower non-antiretroviral-related costs compared with control PI-based therapy in highly treatment-experienced, HIV-infected patients during the first year of therapy by improving patients' CD4 cell counts. These costs could partly/fully offset the increased acquisition cost of DRV/r in this patient population over the same period.
BACKGROUND: Given the association between CD4 cell counts and HIV-related morbidity/mortality, new antiretroviral therapies could potentially lower the direct costs of HIV care by raising CD4 cell counts. OBJECTIVES: To predict the effects of the ritonavir-boosted, HIV protease inhibitor (PI) darunavir on the direct costs of care, while accounting for CD4 cell counts, during the first year of therapy in highly treatment-experienced, HIV-infected adults in different healthcare settings. METHODS: The mean annual per-patient cost of darunavir/ritonavir (DRV/r) and control PI-based highly active antiretroviral therapy (HAART) was calculated from the proportional use of antiretroviral agents in the DRV/r and control PI arms of the pooled POWER 1 and 2 trials, applying drug-acquisition costs for five healthcare settings. Non-antiretroviral-related costs by CD4 cell count, derived from non-interventional studies in the same settings, were applied to the POWER data (proportion of patients with CD4 cell counts in different strata at week 48) to estimate mean annual non-antiretroviral-related costs per patient in patients receiving DRV/r or control PI-based HAART during year 1. RESULTS: Across all settings, the mean annual per-patient cost of DRV/r-based treatment was 2-19% higher than that of control PI-based therapy during the first year of therapy. By raising CD4 cell counts, however, DRV/r-based regimens were predicted to lower mean annual non-antiretroviral-related costs by 16-38% compared with control PI-based therapy. When combined, the total annual per-patient cost of HIV care during the first year of therapy was estimated to be 7% lower in the DRV/r compared with the control PI arm using US data, 8% lower using Swedish data, budget neutral using UK and Belgian data and 5% higher using Italian data. CONCLUSIONS:Darunavir-based HAART may lower non-antiretroviral-related costs compared with control PI-based therapy in highly treatment-experienced, HIV-infectedpatients during the first year of therapy by improving patients' CD4 cell counts. These costs could partly/fully offset the increased acquisition cost of DRV/r in this patient population over the same period.
Authors: B Gazzard; A J Bernard; M Boffito; D Churchill; S Edwards; N Fisher; A M Geretti; M Johnson; C Leen; B Peters; A Pozniak; J Ross; J Walsh; E Wilkins; M Youle Journal: HIV Med Date: 2006-11 Impact factor: 3.180
Authors: S Petrou; M Dooley; L Whitaker; E Beck; E Kupek; J Wadsworth; D Miller; A Renton Journal: Pharmacoeconomics Date: 1996-04 Impact factor: 4.981
Authors: Scott M Hammer; Michael S Saag; Mauro Schechter; Julio S G Montaner; Robert T Schooley; Donna M Jacobsen; Melanie A Thompson; Charles C J Carpenter; Margaret A Fischl; Brian G Gazzard; Jose M Gatell; Martin S Hirsch; David A Katzenstein; Douglas D Richman; Stefano Vella; Patrick G Yeni; Paul A Volberding Journal: JAMA Date: 2006-08-16 Impact factor: 56.272
Authors: Rainer Weber; Caroline A Sabin; Nina Friis-Møller; Peter Reiss; Wafaa M El-Sadr; Ole Kirk; Francois Dabis; Matthew G Law; Christian Pradier; Stephane De Wit; Börje Akerlund; Gonzalo Calvo; Antonella d'Arminio Monforte; Martin Rickenbach; Bruno Ledergerber; Andrew N Phillips; Jens D Lundgren Journal: Arch Intern Med Date: 2006 Aug 14-28
Authors: Jason V Baker; Grace Peng; Joshua Rapkin; Donald I Abrams; Michael J Silverberg; Rodger D MacArthur; Winston P Cavert; W Keith Henry; James D Neaton Journal: AIDS Date: 2008-04-23 Impact factor: 4.177
Authors: José Valdez Madruga; Daniel Berger; Marilyn McMurchie; Fredy Suter; Denes Banhegyi; Kiat Ruxrungtham; Dorece Norris; Eric Lefebvre; Marie-Pierre de Béthune; Frank Tomaka; Martine De Pauw; Tony Vangeneugden; Sabrina Spinosa-Guzman Journal: Lancet Date: 2007-07-07 Impact factor: 79.321
Authors: Antonella d'Arminio Monforte; Donald Abrams; Christian Pradier; Rainer Weber; Peter Reiss; Fabrice Bonnet; Ole Kirk; Matthew Law; Stephane De Wit; Nina Friis-Møller; Andrew N Phillips; Caroline A Sabin; Jens D Lundgren Journal: AIDS Date: 2008-10-18 Impact factor: 4.632