4.5 Article

Comparative adherence trajectories of oral disease-modifying agents in multiple sclerosis

Journal

PHARMACOTHERAPY
Volume 43, Issue 6, Pages 473-484

Publisher

WILEY
DOI: 10.1002/phar.2810

Keywords

adherence; multiple sclerosis; real-world evidence; treatment pattern

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This study compared the adherence trajectories of fingolimod, teriflunomide, and dimethyl fumarate users with multiple sclerosis, and found that teriflunomide and dimethyl fumarate had poorer adherence trajectories compared to fingolimod. Further research is needed to optimize the management of multiple sclerosis.
Study Objective: This study compared the adherence trajectories of fingolimod (FIN), teriflunomide ( TER), and dimethyl fumarate (DMF) users with multiple sclerosis (MS) as there is limited evidence regarding the comparative adherence patterns of different oral disease-modifying agents (DMAs). Design: A retrospective cohort study Data Source: 2015-2019 IBM MarketScan Commercial Claims Database. Patients: Adults (>= 18 years) with MS (International Classification of Diseases [ICD]-9/10- -Clinical Modification [CM]:340/G35) diagnosis and >= 1 DMA prescription. Intervention: Incident FIN-, TER-, or DMF use based on the index DMA with 1 year of washout period. Measurements: The DMA adherence trajectories based on the proportion of days covered (PDC) were examined using the Group-Based Trajectory Modeling (GBTM) one year after the treatment initiation. Generalized boosting models (GBM)-based inverse probability treatment weights (IPTW) were incorporated in multinomial logistic regression to assess the comparative adherence trajectories across oral DMAs with FIN group as a reference category. Measurements and Main Results: The study cohort consisted of 1913 patients with MS who were initiated with FIN (24.2%, n = 462), TER (24.0%, n = 458), and DMF (51.9%, n = 993) during 2016-2018. The adherence rate (PDC >= 0.8) among FIN, TER, and DMF users was found to be 70.8% (n = 327), 59.6% (n = 273), and 61.0% (n = 606), respectively. The GBTM grouped patients into three adherence trajectories: Complete Adherers-59.1%, Slow Decliners-22.6%, and Rapid Discontinuers-18.3%. The multinomial logistic regression model involving GBM-based IPTW revealed that DMF (adjusted odds ratio [aOR]: 2.32, 95% confidence interval [CI]:1.57-3.42) and TER (aOR: 2.50, 95% CI: 1.62-3.88) users had higher odds to be rapid discontinuers relative to FIN users. In addition, TER users were more likely (aOR: 1.50, 95% CI: 1.06-2.13) to be slow decliners compared with FIN users. Conclusion: Teriflunomide and DMF were associated with poorer adherence trajectories than FIN. More research is needed to evaluate the clinical implications of these adherence trajectories of oral DMAs to optimize the management of MS.

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