The Change of Fingolimod Patient Profiles over Time: A Descriptive Analysis of Two Non-Interventional Studies PANGAEA and PANGAEA 2.0

被引:4
|
作者
Ziemssen, Tjalf [1 ]
Schulze-Topphoff, Ulf [2 ]
机构
[1] Univ Klinikum Carl Gustav Carus, Zentrum Klin Neurowissensch, D-01307 Dresden, Germany
[2] Novartis Pharma GmbH, D-90429 Nurnberg, Germany
来源
JOURNAL OF PERSONALIZED MEDICINE | 2021年 / 11卷 / 06期
关键词
fingolimod; real-world evidence; patient profiles; MULTIPLE-SCLEROSIS; LONG-TERM; THERAPY; DESIGN;
D O I
10.3390/jpm11060561
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
(1) Background: Fingolimod (Gilenya(R)) was the first oral treatment for patients with relapsing-remitting multiple sclerosis (RRMS). Since its approval, the treatment landscape has changed enormously. (2) Methods: Data of PANGAEA and PANGAEA 2.0, two German real-world studies, were descriptively analysed for possible evolution of patient profiles and treatment behavior. Both are prospective, multi-center, non-interventional, long-term studies on fingolimod use in RRMS in real life. Data of 4229 PANGAEA patients (recruited 2011-2013) and 2441 PANGAEA 2.0 patients (recruited 2015-2018) were available. Baseline data included demographics, RRMS characteristics and disease severity. (3) Results: The mean age of PANGAEA and PANGAEA 2.0 patients was similar (38.8 vs. 39.2 years). Patients in PANGAEA 2.0 had shorter disease duration (7.1 vs. 8.2 years) and fewer relapses in the year before baseline (1.2 vs. 1.6). Disease severity at baseline estimated by EDSS and SDMT was lower in PANGAEA 2.0 patients compared to PANGAEA (EDSS difference 1.0 points; SDMT difference 3.3 points). (4) Conclusions: The results hint at an influence of changes in the treatment guidelines and the label on fingolimod patients profiles over time. Patients tended to have lower disease activity at fingolimod initiation, suggesting an earlier intervention. This indicates increased experience in using fingolimod for sub-optimally treated RRMS patients and a change in mindset towards an early treatment optimization.
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页数:10
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