Abstract
Background: The chimeric antigen receptor (CAR) T-cell therapy idecabtagene vicleucel (ide-cel) is approved for the treatment of adult patients with relapsed/refractory multiple myeloma (RRMM) who have already received an immunomodulatory agent, a proteasome inhibitor, and an anti-CD38 antibody and have progressed on their last therapy. The objective of this study was to assess the cost-effectiveness of ide-cel versus conventional care in Canada and France. Methods: A partitioned survival model was used to estimate the cost-effectiveness of ide-cel (target dose 450 × 106 CAR T cells) in its approved indication in terms of life-years (LYs), quality-adjusted LYs (QALYs), and costs. Patient-level data from the KarMMa Phase II clinical trial (clinicaltrials.gov NCT03361748) and KarMMa-RW study were used to inform the model; overall and progression-free survival were extrapolated using standard parametric functions after the observed periods. The model adopted Canadian and French societal perspectives over a lifetime horizon. Costs, utilities, discounting (Canada: 1.5%, France: 2.5%), and general population mortality were country-specific. Results: The base case demonstrated that ide-cel was associated with more additional LYs (+2.64 and +2.51) and QALYs (+2.31 and +2.54) than conventional care at incremental costs of CAN$588,490 and €392,251 in Canada and France, respectively. The resulting incremental cost-effectiveness ratio (ICER) for ide-cel was $255,245 per QALY in Canada, and €154,593 per QALY in France. Conclusion: Ide-cel was associated with significant survival improvements in terms of both LYs and QALYs in patients with progressive triple-class-exposed RRMM. The ICER for ide-cel was similar to that of other approved and reimbursed RRMM therapies.
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Karampampa, K., Zhang, W., Venkatachalam, M., Cotte, F. E., & Dhanda, D. (2023). Cost-effectiveness of idecabtagene vicleucel compared with conventional care in triple-class exposed relapsed/refractory multiple myeloma patients in Canada and France. Journal of Medical Economics, 26(1), 243–253. https://doi.org/10.1080/13696998.2023.2173466
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