Cost-Effectiveness Analysis of Onasemnogene Abeparvovec-Xioi (Zolgensma®) and Best Supportive Care Treatment for Spinal Muscular Atrophy I in the Netherlands With Early-Treatment Scenario
Author(s)
Meijer A1, Omar Alsaleh AJ2
1Bologna University, Amsterdam, Netherlands, 2Bologna University, Bologna, Italy
Presentation Documents
OBJECTIVES: Spinal muscular atrophy (SMA) is an inherited neuromuscular disorder and is considered one of the most common genetic causes of infant mortality. Onasemnogene Abeparvovec-xioi (OA) is a gene therapy showing promising health outcomes for SMA treatment, with a list price of approximately €2,000,000. This study aims to provide a cost-effectiveness analysis in the Netherlands for the treatment of SMA type I with OA with newly published data.
METHODS: A Markov model with five health states was replicated to analyze the costs and outcomes for patients diagnosed with SMA Type I. The analysis was conducted from a societal perspective in the Netherlands over a time period of 99 years. Both one-way and probabilistic sensitivity analyses were conducted to assess the uncertainties associated with the model's parameters. A scenario analysis was performed to evaluate the potential benefits of early treatment.
RESULTS: Base-case incremental cost-effectiveness ratio (ICER) of OA was €257,717 per quality-adjusted life year (QALY) compared to best supportive care (BSC). The ICER of OA from the early treatment scenario was €127,107 compared to BSC. Both are above the Dutch willingness-to-pay (WTP) reference value of €80,000. Key drivers influencing the ICERs were the costs of OA treatment and utility and cost values of ‘sitting independently’ health state.
CONCLUSIONS: Based on this model, treatment with OA supports the notion that it offers significant improvements in disease progression, motor skills, and quality of life compared to BSC. A reduced ICER of almost 27% is observed compared to the HTA conducted by the Dutch Health Care Institute. However, it is not cost-effective under the Dutch WTP threshold. Limited availability of clinical trial data, characterized by small sample sizes and short follow-up periods, causes great uncertainty. Decision-makers should find a suitable balance between these uncertainties and the cost they are willing to pay for the treatment of rare diseases.
Conference/Value in Health Info
Value in Health, Volume 26, Issue 11, S2 (December 2023)
Code
EE89
Topic
Economic Evaluation, Study Approaches
Topic Subcategory
Clinical Trials, Cost-comparison, Effectiveness, Utility, Benefit Analysis, Decision Modeling & Simulation
Disease
Drugs, Genetic, Regenerative & Curative Therapies, Pediatrics, Rare & Orphan Diseases