OBJECTIVE: To assess the cost-effectiveness of lanthanum carbonate (LC) versus sevelamer hydrochloride (SH) as a treatment for hyperphosphatemia in end-stage renal disease (ESRD) patients. METHODS: A Markov model was developed to estimate health outcomes; quality-adjusted life years (QALYs) and life-years saved (LYS), as well as associated costs. The model incorporated patient-level data from a randomized head-to-head crossover study that compared the reduction of serum phosphorus using LC and SH for 4 weeks each. The model included patients previously treated with calcium-based binders. Both the intent-to-treat (ITT) population and the cohort of patients who completed treatment in both periods of the study (i.e., completer population) were assessed. The baseline risks of cardiovascular disease (CVD), all-cause mortalities for CVD, and non-CVD patients were derived from a large US renal database. Patient outcomes were modeled for 10 years, and incremental cost-effectiveness ratios (ICERs) were calculated for LC relative to SH. Deterministic and probabilistic sensitivity analyses (PSA) were performed to test the robustness of the base-case model. RESULTS: For the ITT population, the ICERs of LC versus SH were $24,724/QALY and $15,053/LYS, respectively (in US dollars). When the completer population was considered, the ICERs of LC versus SH were $15,285/QALY and $9,337/LYS (Table 2), respectively. The PSA indicated 61.9% and 85.8% probabilities for ITT and completer populations of LC being cost-effective at the $50,000/QALY willingness-to-pay threshold, respectively. CONCLUSION: LC is a cost-effective strategy compared with SH in the treatment of ESRD patients with hyperphosphatemia who were previously treated with calcium-based binders. Sensitivity analyses demonstrated the robustness of the pharmacoeconomic model.
OBJECTIVE: To assess the cost-effectiveness of lanthanum carbonate (LC) versus sevelamer hydrochloride (SH) as a treatment for hyperphosphatemia in end-stage renal disease (ESRD) patients. METHODS: A Markov model was developed to estimate health outcomes; quality-adjusted life years (QALYs) and life-years saved (LYS), as well as associated costs. The model incorporated patient-level data from a randomized head-to-head crossover study that compared the reduction of serum phosphorus using LC and SH for 4 weeks each. The model included patients previously treated with calcium-based binders. Both the intent-to-treat (ITT) population and the cohort of patients who completed treatment in both periods of the study (i.e., completer population) were assessed. The baseline risks of cardiovascular disease (CVD), all-cause mortalities for CVD, and non-CVD patients were derived from a large US renal database. Patient outcomes were modeled for 10 years, and incremental cost-effectiveness ratios (ICERs) were calculated for LC relative to SH. Deterministic and probabilistic sensitivity analyses (PSA) were performed to test the robustness of the base-case model. RESULTS: For the ITT population, the ICERs of LC versus SH were $24,724/QALY and $15,053/LYS, respectively (in US dollars). When the completer population was considered, the ICERs of LC versus SH were $15,285/QALY and $9,337/LYS (Table 2), respectively. The PSA indicated 61.9% and 85.8% probabilities for ITT and completer populations of LC being cost-effective at the $50,000/QALY willingness-to-pay threshold, respectively. CONCLUSION:LC is a cost-effective strategy compared with SH in the treatment of ESRDpatients with hyperphosphatemia who were previously treated with calcium-based binders. Sensitivity analyses demonstrated the robustness of the pharmacoeconomic model.
Authors: Raymond Vanholder; Steven Van Laecke; Griet Glorieux; Francis Verbeke; Esmeralda Castillo-Rodriguez; Alberto Ortiz Journal: Toxins (Basel) Date: 2018-06-12 Impact factor: 4.546
Authors: Blanca Gros; Antonio Galán; Emilio González-Parra; Jose A Herrero; Maria Echave; Stefan Vegter; Keith Tolley; Itziar Oyagüez Journal: Health Econ Rev Date: 2015-06-11
Authors: Florian S Gutzwiller; Alena M Pfeil; Zanfina Ademi; Patricia R Blank; Peter G Braunhofer; Thomas D Szucs; Matthias Schwenkglenks Journal: Pharmacoeconomics Date: 2015-12 Impact factor: 4.981