PO11
Real-World Patient Retention and Satisfaction on Fingolimod Versus Platform Injectable Disease-Modifying Therapies in Early RRMS: Results from PREFERMS
Objectives: To examine therapeutic retention and satisfaction on fingolimod versus iDMTs in PREFERMS, a randomized, prospective real-world study of patients with early RRMS.
Methods: PREFERMS was a 12-month, phase 4, open-label, active-controlled, randomized, multicenter study. At enrollment, patients were treatment-naïve, or had received only one iDMT class (interferon beta or glatiramer acetate). Investigators selected an iDMT for each patient, before subjects were randomized (1:1) to fingolimod 0.5 mg or the selected iDMT. One treatment switch was allowed on study after a minimum 3 months of treatment, unless required by an adverse event. The primary endpoint was percent retained on randomized treatment. Treatment satisfaction was assessed for both randomized and switched populations, using the Medication Satisfaction Questionnaire (MSQ) at all assessments. Sample-size and power calculations were based on retention rates only.
Results: 875 patients were randomized (fingolimod, n=436; iDMT, n=439). At baseline, mean time since diagnosis was 4.3 years, Expanded Disability Status Scale score was 2.4 and treatment-group characteristics were similar. Among 861 patients (98.4%) who completed the study (full analysis set), significantly more completed on fingolimod than on iDMT (352 [81.3%] vs 125 [29.2%]; p<0.001); 254 patients switched from iDMT to fingolimod, and 28 to iDMT. Patients receiving fingolimod experienced greater treatment satisfaction at all assessments than those on iDMT (p<0.001). Among those who switched, satisfaction levels increased with fingolimod versus iDMTs (p<0.05 at months 6, 9 and last assessment). After treatment switch, fewer patients discontinued fingolimod (5 [1.1%]) than iDMT (43 [9.8%]).
Conclusions: The advantages of fingolimod over iDMTs in patient retention and treatment satisfaction support use of fingolimod in patients with early RRMS in the real world.