T Frisell1, L Forsberg2, N Nordin2, C Kiesel2, L Alfredsson3, J Askling4, J Hillert2, T Olsson2, F Piehl2. 1. Clinical Epidemiology Unit, Department of Medicine, Karolinska Institutet, Solna, Sweden thomas.frisell@ki.se. 2. Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden. 3. Institute of Environmental Medicine, Karolinska Institutet, Solna, Sweden. 4. Clinical Epidemiology Unit, Department of Medicine, Karolinska Institutet, Solna, Sweden/Rheumatology Unit, Department of Medicine, Karolinska Institutet, Solna, Sweden.
Abstract
BACKGROUND: Natalizumab (NTZ) and fingolimod (FGL) are mainly used second line in relapsing-remitting multiple sclerosis (MS), although pivotal trials included mainly treatment-naïve patients. OBJECTIVE: This study aims to provide real-world data on safety and discontinuation rates. METHODS: Using IMSE, a drug monitoring registry for all newer MS drugs in Sweden, we analysed differences in baseline characteristics and 1-year drug survival for patients registered 2011-2013, initiating treatment with NTZ (n=640) or FGL (n=876). Among FGL initiators, n=383 (44%) had previously used NTZ (FGL(afterNTZ)). RESULTS: Compared with NTZ, the FGL cohort was older and more often male (36/38 years, 24%/33% males). Baseline Expanded Disability Status Scale was similar across groups, but MS Severity Score was higher in NTZ patients, and Symbol Digit Modalities Test and MS Impact Scale (MSIS-29) was higher in FGL(afterNTZ) versus FGL(NTZ-naïve) patients. Proportion on drug after 1 year was high, NTZ=87%, FGL(NTZ-naïve)=83% and FGL(afterNTZ)=76%. Adverse events was the most frequent reason for discontinuing FGL (FGL(NTZ-naïve)=9%, FGL(afterNTZ)=12%), and was significantly higher than on NTZ (3%). In contrast, the proportion of patients stopping treatment due to lack of effect was more similar: NTZ=4%, FGL(NTZ-naïve)=3%, FGL(afterNTZ)=8%. CONCLUSION: FGL and NTZ were both well tolerated, but FGL less so than NTZ, especially in patients switching to FGL from NTZ. Group differences were not explained by differences in recorded baseline characteristics.
BACKGROUND:Natalizumab (NTZ) and fingolimod (FGL) are mainly used second line in relapsing-remitting multiple sclerosis (MS), although pivotal trials included mainly treatment-naïve patients. OBJECTIVE: This study aims to provide real-world data on safety and discontinuation rates. METHODS: Using IMSE, a drug monitoring registry for all newer MS drugs in Sweden, we analysed differences in baseline characteristics and 1-year drug survival for patients registered 2011-2013, initiating treatment with NTZ (n=640) or FGL (n=876). Among FGL initiators, n=383 (44%) had previously used NTZ (FGL(afterNTZ)). RESULTS: Compared with NTZ, the FGL cohort was older and more often male (36/38 years, 24%/33% males). Baseline Expanded Disability Status Scale was similar across groups, but MS Severity Score was higher in NTZpatients, and Symbol Digit Modalities Test and MS Impact Scale (MSIS-29) was higher in FGL(afterNTZ) versus FGL(NTZ-naïve) patients. Proportion on drug after 1 year was high, NTZ=87%, FGL(NTZ-naïve)=83% and FGL(afterNTZ)=76%. Adverse events was the most frequent reason for discontinuing FGL (FGL(NTZ-naïve)=9%, FGL(afterNTZ)=12%), and was significantly higher than on NTZ (3%). In contrast, the proportion of patients stopping treatment due to lack of effect was more similar: NTZ=4%, FGL(NTZ-naïve)=3%, FGL(afterNTZ)=8%. CONCLUSION:FGL and NTZ were both well tolerated, but FGL less so than NTZ, especially in patients switching to FGL from NTZ. Group differences were not explained by differences in recorded baseline characteristics.
Authors: Maria Trojano; Mar Tintore; Xavier Montalban; Jan Hillert; Tomas Kalincik; Pietro Iaffaldano; Tim Spelman; Maria Pia Sormani; Helmut Butzkueven Journal: Nat Rev Neurol Date: 2017-01-13 Impact factor: 42.937
Authors: F Esposito; L Ferrè; F Clarelli; M A Rocca; G Sferruzza; L Storelli; M Radaelli; F Sangalli; L Moiola; B Colombo; F Martinelli Boneschi; G Comi; M Filippi; V Martinelli Journal: J Neurol Date: 2018-02-12 Impact factor: 4.849