Ocrelizumab for the treatment of relapsing remitting multiple sclerosis: A cost effectiveness study in Peru

Author:

Gutierrez-Aguado Alfonso1,Angeles-Donayre Mariuccia1

Affiliation:

1. Universidad Continental

Abstract

Abstract Background: This study examines the cost-effectiveness of Ocrelizumab, a treatment for relapsing-remitting multiple sclerosis (RRMS), in the Peruvian healthcare system. RRMS is a chronic autoimmune disease affecting the central nervous system, and its prevalence in Peru has been reported to be 9.12 cases per 100,000 inhabitants. Methods: A cohort multi-state Markov model was developed to simulate disease progression and evaluate the cost-effectiveness of Ocrelizumab compared to other treatment alternatives for RRMS. The model considered various health states, including relapse, disability progression, conversion to secondary-progressive MS, mortality, treatment effect waning, treatment withdrawal, and adverse events. Costs associated with medication, administration, monitoring, and adverse events were included. Quality-adjusted life years (QALYs) and life years (LYs) gained were analyzed using the EQ-5D-5L questionnaire. Results: In the base-case scenario, Ocrelizumab was found to be a cost-effective intervention, with a cost per QALY and LYs below the willingness-to-pay threshold. When compared to other treatment alternatives, Ocrelizumab was dominant, providing greater QALYs and LYs at a lower cost than Interferon, Natalizumab, Teriflunomide, and Alemtuzumab. However, Alemtuzumab had a higher cost but provided more QALYs and LYs than Ocrelizumab. Conclusions: Ocrelizumab was deemed cost-effective in the treatment of RRMS in Peru. It offered a favorable balance between cost and health outcomes, making it a compelling choice for RRMS management and resource allocation. The study's findings align with previous research highlighting the cost-effectiveness of Ocrelizumab in RRMS treatment across different healthcare systems. Limitations include the simplifications made in the model and the availability and accuracy of data sources used.

Publisher

Research Square Platform LLC

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