REAL-WORLD COST DIFFERENCE IN PATIENTS WITH PSORIASIS NEWLY INITIATING APREMILAST VS. BIOLOGIC TREATMENT AFTER CONVENTIONAL SYSTEMIC THERAPY- A RETROSPECTIVE ANALYSIS OF GERMAN SICKNESS FUND DATA
Author(s)
Kossack N1, Schoenfelder T2, Schultze M3, Pignot M3, Mehta S4, Nazareth T4, Walzer S5
1WIG2 GmbH, Leipzig, SN, Germany, 2WIG2 GmbH, Leipzig, NJ, USA, 3Kantar GmbH, Health Division, Munich, NJ, USA, 4Celgene Corporation, Summit, NJ, USA, 5MArS Market Access & Pricing GmbH, State University Baden-Wuerttemberg, University of Applied Sciences Weingarten-Ravensburg, Weil am Rhein, Germany
Presentation Documents
OBJECTIVES : Apremilast and biologics are commonly used as second-line treatments in Europe for moderate to severe plaque psoriasis, following conventional systemic disease-modifying antirheumatic drugs (i.e., csDMARDs). Previously, trial-based economic models demonstrated the cost-effectiveness of using apremilast earlier in treatment. Real-world costs associated with use of therapy also warrant exploration. Cost differences between csDMARD-experienced psoriasis patients newly initiating apremilast vs. a biologic were evaluated here. METHODS : A retrospective analysis was conducted using WIG2 database, comprising ~4 million German healthcare claims. Adults were selected if they: (1) newly initiated apremilast or a biologic during Feb2015-Jun2017 (assigned treatment group and index date), (2) were continuously enrolled for 12 months pre- and post-index, (3) had ≥1 csDMARD, ≥1 psoriasis diagnosis, and no cancer diagnosis pre-index, and (4) had no other psoriasis treatments within 30 days post-index. A 12-month intention-to-treat analysis was utilized to account for between-group treatment changes and to assess the overall impact of treatment on cost. Descriptive statistics and a linear regression model adjusting for demographics and Charlson Comorbidity Index (CCI) were used. Sensitivity analyses of anti-TNFs and secukinumab (IL-17A) subgroups were conducted. Costs were standardized to 2017€. Statistical significance was considered P≤0.05. RESULTS : A total of 420 patients were identified (i.e., napremilast=124, nbiologics=296, nanti-TNFs=142, nsecukinumab=97). Users of apremilast were significantly older (mean: 50 vs. 45 years) with higher CCI (mean: 2.81 vs. 1.96) vs. biologics. The unadjusted mean total cost per patient was significantly lower among users of apremilast (17,417€) vs. biologics (29,959€), anti-TNFs (30,372€), and secukinumab (29,486€). Differences were primarily driven by pharmacy costs (e.g., apremilast=14,118€; biologics=26,934€). The adjusted difference in mean total cost per patient was also significantly lower with apremilast vs. biologics (12,934€), anti-TNFs (13,015€), and secukinumab (12,608€). CONCLUSIONS : Real-world data confirm significant cost-savings with apremilast vs. biologics (average~12,000€/patient), when used after csDMARDs. Limitations of claims data apply.
Conference/Value in Health Info
2019-11, ISPOR Europe 2019, Copenhagen, Denmark
Code
PSY17
Disease
Drugs, Systemic Disorders/Conditions