BACKGROUND: The efficacy and safety of adding rituximab to fludarabine and cyclophosphamide (R-FC) for the treatment of chronic lymphocytic leukaemia (CLL) has been demonstrated in two randomised trials: CLL-8 was conducted in previously untreated patients, and REACH was conducted in previously treated patients. In both trials, progression-free survival was increased in the R-FC treatment groups compared with the FC treatment groups. In CLL-8, overall survival was also significantly increased. OBJECTIVE: To develop an economic model to assess the cost effectiveness, from the Australian healthcare perspective, of rituximab when used as a treatment for both previously untreated and relapsed/refractory CLL. METHODS: A Markov model with three health states (unprogressed, progressed and death) was developed to extrapolate the trial results over a 15-year time horizon. A treatment algorithm was developed with Australian haematologists to inform the treatments to be modelled. The base-case compares up to three courses of six cycles of R-FC ('first-line' treatment) followed by three courses of post-progression salvage ('Salvage') treatment (including rituximab) with three courses of FC followed by three courses of Salvage treatment (excluding rituximab). Subsequent treatments are incorporated into the model by repeating the unprogressed and progressed health states for each treatment. Time-dependent transition probabilities for the model were estimated from an analysis of individual patient data from CLL-8 and REACH. Comparisons of the hazard rates for the CLL-8 and REACH trials enabled an assessment of the impact on the transitions of receiving the same regimen as the first or second treatment, and hence inform assumptions regarding transitions for third and subsequent treatments. Costs applied in the model were based on published Australian prices in 2009. RESULTS: The model predicts patients receive an average of approximately two courses of treatment, and the addition of rituximab results in an incremental gain of 0.94 quality-adjusted life-years (QALYs). The incremental cost associated with the addition of rituximab is A$40,268, and hence the cost per QALY gained (QALYG) is A$42,906. CONCLUSION: Rituximab, in combination with chemotherapy, when used multiple times throughout the treatment algorithm, appears to be cost effective for CLL from the Australian healthcare perspective, with a cost/QALYG within the range generally accepted as providing value.
BACKGROUND: The efficacy and safety of adding rituximab to fludarabine and cyclophosphamide (R-FC) for the treatment of chronic lymphocytic leukaemia (CLL) has been demonstrated in two randomised trials: CLL-8 was conducted in previously untreated patients, and REACH was conducted in previously treated patients. In both trials, progression-free survival was increased in the R-FC treatment groups compared with the FC treatment groups. In CLL-8, overall survival was also significantly increased. OBJECTIVE: To develop an economic model to assess the cost effectiveness, from the Australian healthcare perspective, of rituximab when used as a treatment for both previously untreated and relapsed/refractory CLL. METHODS: A Markov model with three health states (unprogressed, progressed and death) was developed to extrapolate the trial results over a 15-year time horizon. A treatment algorithm was developed with Australian haematologists to inform the treatments to be modelled. The base-case compares up to three courses of six cycles of R-FC ('first-line' treatment) followed by three courses of post-progression salvage ('Salvage') treatment (including rituximab) with three courses of FC followed by three courses of Salvage treatment (excluding rituximab). Subsequent treatments are incorporated into the model by repeating the unprogressed and progressed health states for each treatment. Time-dependent transition probabilities for the model were estimated from an analysis of individual patient data from CLL-8 and REACH. Comparisons of the hazard rates for the CLL-8 and REACH trials enabled an assessment of the impact on the transitions of receiving the same regimen as the first or second treatment, and hence inform assumptions regarding transitions for third and subsequent treatments. Costs applied in the model were based on published Australian prices in 2009. RESULTS: The model predicts patients receive an average of approximately two courses of treatment, and the addition of rituximab results in an incremental gain of 0.94 quality-adjusted life-years (QALYs). The incremental cost associated with the addition of rituximab is A$40,268, and hence the cost per QALY gained (QALYG) is A$42,906. CONCLUSION:Rituximab, in combination with chemotherapy, when used multiple times throughout the treatment algorithm, appears to be cost effective for CLL from the Australian healthcare perspective, with a cost/QALYG within the range generally accepted as providing value.
Authors: D Oscier; C Fegan; P Hillmen; T Illidge; S Johnson; P Maguire; E Matutes; D Milligan Journal: Br J Haematol Date: 2004-05 Impact factor: 6.998
Authors: Tadeusz Robak; Anna Dmoszynska; Philippe Solal-Céligny; Krzysztof Warzocha; Javier Loscertales; John Catalano; Boris V Afanasiev; Loree Larratt; Christian H Geisler; Marco Montillo; Ilya Zyuzgin; Peter S Ganly; Caroline Dartigeas; András Rosta; Jörg Maurer; Myriam Mendila; M Wayne Saville; Nancy Valente; Michael K Wenger; Sergey I Moiseev Journal: J Clin Oncol Date: 2010-03-01 Impact factor: 44.544
Authors: Xavier C Badoux; Michael J Keating; Xuemei Wang; Susan M O'Brien; Alessandra Ferrajoli; Stefan Faderl; Jan Burger; Charles Koller; Susan Lerner; Hagop Kantarjian; William G Wierda Journal: Blood Date: 2011-01-18 Impact factor: 22.113
Authors: Kathleen M Beusterien; John Davies; Michael Leach; David Meiklejohn; Jessica L Grinspan; Alison O'Toole; Steve Bramham-Jones Journal: Health Qual Life Outcomes Date: 2010-05-18 Impact factor: 3.186
Authors: Michael Hallek; Bruce D Cheson; Daniel Catovsky; Federico Caligaris-Cappio; Guillaume Dighiero; Hartmut Döhner; Peter Hillmen; Michael J Keating; Emili Montserrat; Kanti R Rai; Thomas J Kipps Journal: Blood Date: 2008-01-23 Impact factor: 22.113
Authors: D Catovsky; S Richards; E Matutes; D Oscier; Mjs Dyer; R F Bezares; A R Pettitt; T Hamblin; D W Milligan; J A Child; M S Hamilton; C E Dearden; A G Smith; A G Bosanquet; Z Davis; V Brito-Babapulle; M Else; R Wade; P Hillmen Journal: Lancet Date: 2007-07-21 Impact factor: 79.321
Authors: Qiushi Chen; Nitin Jain; Turgay Ayer; William G Wierda; Christopher R Flowers; Susan M O'Brien; Michael J Keating; Hagop M Kantarjian; Jagpreet Chhatwal Journal: J Clin Oncol Date: 2016-11-21 Impact factor: 44.544
Authors: Gilles Salles; Martin Barrett; Robin Foà; Joerg Maurer; Susan O'Brien; Nancy Valente; Michael Wenger; David G Maloney Journal: Adv Ther Date: 2017-10-05 Impact factor: 3.845