Abstract
Background
The introduction of oral disease-modifying therapies (DMTs) for relapsing–remitting multiple sclerosis (RRMS) changed algorithms of RRMS treatment.
Objectives
To compare the effectiveness of treatment with dimethyl fumarate (DMF) and teriflunomide (TRF) in a large multicentre Italian cohort of RRMS patients.
Materials and Methods
Patients with RRMS who received treatment with DMF and TRF between January 1st, 2012 and December 31st, 2018 from twelve MS centers were identified. The events investigated were “time-to-first-relapse”, “time-to-Magnetic-Resonance-Imaging (MRI)-activity” and “time-to-disability-progression”.
Results
1445 patients were enrolled (1039 on DMF, 406 on TRF) and followed for a median of 34 months. Patients on TRF were older (43.5 ± 8.6 vs 38.8 ± 9.2 years), with a predominance of men and higher level of disability (p < 0.001 for all). Patients on DMF had a higher number of relapses and radiological activity (p < .05) at baseline.
Time-varying Cox-model for the event “time-to-first relapse” revealed that no differences were found between the two groups in the first 38 months of treatment (HRt < 38DMF = 0.73, CI = 0.52 to 1.03, p = 0.079). When the time-on-therapy exceeds 38 months patients on DMF had an approximately 0.3 times lower relapse hazard risk than those who took TRF (HRt>38DMF = 3.83, CI = 1.11 to 13.23, p = 0.033). Both DMTs controlled similarly MRI activity and disability progression.
Conclusions
Patients on DMF had higher relapse-free survival time than TRF group after the first 38 months on therapy.
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Data availability
Anonymised data will be shared upon request from any qualified investigator for the sole purpose of replicating procedures and results presented in the report provided that data transfer is in agreement with EU legislation on the general data protection regulation.
References
Reich DS, Lucchinetti CF, Calabresi PA (2018) Multiple Sclerosis. N Engl J Med 378(2):169–180
D'Amico E, Leone C, Caserta C, Patti F (2015) Oral drugs in multiple sclerosis therapy: an overview and a critical appraisal. Expert Rev Neurother 15(7):803–824
Ingwersen J, Aktas O, Hartung HP (2016) Advances in and algorithms for the treatment of relapsing-remitting multiple sclerosis. Neurothera J Am Soc Exp NeuroThera 13(1):47–57
Boster A, Nicholas J, Wu N, Yeh WS, Fay M, Edwards M et al (2017) Comparative effectiveness research of disease-modifying therapies for the management of multiple sclerosis: analysis of a large health insurance claims database. Neurol Ther 6(1):91–102
Confavreux C, O'Connor P, Comi G, Freedman MS, Miller AE, Olsson TP et al (2014) Oral teriflunomide for patients with relapsing multiple sclerosis (TOWER): a randomised, double-blind, placebo-controlled, phase 3 trial. Lancet Neurol 13(3):247–256
Fox RJ, Miller DH, Phillips JT, Hutchinson M, Havrdova E, Kita M et al (2012) Placebo-controlled phase 3 study of oral BG-12 or glatiramer in multiple sclerosis. N Engl J Med 367(12):1087–1097
Gold R, Kappos L, Arnold DL, Bar-Or A, Giovannoni G, Selmaj K et al (2012) Placebo-controlled phase 3 study of oral BG-12 for relapsing multiple sclerosis. N Engl J Med 367(12):1098–1107
O'Connor P, Comi G, Freedman MS, Miller AE, Kappos L, Bouchard JP et al (2016) Long-term safety and efficacy of teriflunomide: nine-year follow-up of the randomized TEMSO study. Neurology 86(10):920–930
Deleu D, Mesraoua B, Canibaño B et al (2019) Oral disease-modifying therapies for multiple sclerosis in the Middle Eastern and North African (MENA) region: an overview. Curr Med Res Opin 35(2):249–260
Freedman MS, Montalban X, Miller AE, Dive-Pouletty C, Hass S, Thangavelu K et al (2016) Comparing outcomes from clinical studies of oral disease-modifying therapies (dimethyl fumarate, fingolimod, and teriflunomide) in relapsing MS: assessing absolute differences using a number needed to treat analysis. Mult scler Relat Disord 10:204–212
Buron MD, Chalmer TA, Sellebjerg F, Frederiksen J, Gora MK, Illes Z et al (2019) Comparative effectiveness of teriflunomide and dimethyl fumarate: a nationwide cohort study. Neurology 92(16):e1811–e1820
Kalincik T, Kubala Havrdova E, Horakova D, Izquierdo G, Prat A, Girard M et al (2019) Comparison of fingolimod, dimethyl fumarate and teriflunomide for multiple sclerosis. J Neurol Neurosurg Psychiatry 90(4):458–468
Laplaud DA, Casey R, Barbin L, Debouverie M, De Seze J, Brassat D et al (2019) Comparative effectiveness of teriflunomide vs dimethyl fumarate in multiple sclerosis. Neurology 7:635–646
Trojano M, Bergamaschi R, Amato MP, Comi G, Ghezzi A, Lepore V et al (2019) The Italian multiple sclerosis register. Neurol Sci Off J Italian Neurol Soc Italian Soc Clin Neurophysiol 40(1):155–165
Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA, Filippi M et al (2011) Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 69(2):292–302
https://www.ema.europa.eu/en/documents/product-information/aubagio-epar-product-information_en.pdf. Accessed on April 2020
Tecfidera (dimethyl fumarate) delayed-release capsules fou hwtcB, content/dam/commercial/multiple-sclerosis/tecfidera/pat/en_eu/pdf/fullprescribing-, info.pdf. Accessed April 2020.
Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33(11):1444–1452
https://www.eortc.be/services/doc/ctc/CTCAE_4.03_2010-06-14_QuickReference_5x7.pdf. Accessed on April 2020
Carpenter JR, Kenward MG, White IR (2007) Sensitivity analysis after multiple imputation under missing at random: a weighting approach. Stat Methods Med Res 16(3):259–275
Ferro MA (2014) Missing data in longitudinal studies: cross-sectional multiple imputation provides similar estimates to full-information maximum likelihood. Ann Epidemiol 24(1):75–77
Héraud-Bousquet V, Larsen C, Carpenter J, Desenclos J-C, Le Strat Y (2012) Practical considerations for sensitivity analysis after multiple imputation applied to epidemiological studies with incomplete data. BMC Med Res Methodol 12(1):73
Liang H, Zou G (2008) Improved AIC selection strategy for survival analysis. Comput Stat Data Anal 52(5):2538–2548
Cavanaugh JE, Neath AA (2019) The Akaike information criterion: background, derivation, properties, application, interpretation, and refinements. WIREs Comput Stat 11:e1460
D'Amico E, Zanghi A, Callari G, Borriello G, Gallo A, Graziano G et al (2018) Comparable efficacy and safety of dimethyl fumarate and teriflunomide treatment in relapsing-remitting multiple sclerosis: an Italian real-word multicenter experience. Ther Adv Neurol Disord 11:1756286418796404
D'Amico E, Zanghi A, Sciandra M, Borriello G, Callari G, Gallo A et al (2019) Discontinuation of teriflunomide and dimethyl fumarate in a large Italian multicentre population: a 24-month real-world experience. J Neurol 266(2):411–416
Hersh CM, Marrie RA (2019) Harnessing real-world data to inform treatment decisions in multiple sclerosis. Neurology. https://doi.org/10.1212/WNL.0000000000007934
Kalincik T (2019) Effectiveness of oral multiple sclerosis therapies in clinical context. Neurology 92(16):737
Funding
The researchers were independent of funders and sponsors. All researchers could access all the data.
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Contributions
Acquisition of data–Giovanna Borriello: Co-investigator, Sant Andrea Hospital; Paola Grossi: Co-investigator, Neuroimmunology, Center for Multiple Sclerosis, ASST Crema; Antonio Carotenuto: Co-investigator, University of Naples; Ernesto Siena: Co-investigator, University of Parma, Maggiore Hospital; Elena Tsantes: Co-investigator, University of Parma, Maggiore Hospital; Alessia Giugno: Co-investigator, University of Catanzaro Magna Grecia; Gian Marco Abbadessa: Co-investigator, University Luigi Van Vitelli, Naples; Clara Grazia Chisari: Co-investigator, University of Catania, MS center.
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Conflicts of interest
Dr Emanuele D’Amico has received personal fees from Biogen and Sanofi. He also received travel funding from Bayer Biogen and Merck. Dr Aurora Zanghì received travel funding from Bayer-Schering and Sanofi Genzyme outside of the described work. Dr Mariangela Sciandra has nothing to disclose. Dr Roberta Lanzillo has received personal fees for public speaking or consultancy from Merck, Novartis, Biogen, Genzyme, Teva, Roche and Almirall. Dr Graziella Callari has received personal fees from Biogen and Sanofi. She also received travel funding from Bayer Biogen and Merck. Dr Antonio Cortese has received speaker honoraria from Biogen, Sanofi Genzyme, and Teva, and travel grants from Biogen, Merck, Sanofi Genzyme, and Teva. He also received advisory board member honoraria from Biogen, Merck, Novartis, and Teva. Dr Giacomo Lus has nothing to disclose related to this manuscript. Dr Matteo Lucchini has received travel grants from Almirall, Biogen, Sanofi-Genzyme and Roche, speaker honoraria from Biogen and consulting fees from Merck Serono, Almirall and Novartis. Dr Maria Buccafusca has nothing to disclose related to this manuscript. Dr Simona Bonavita has nothing to disclose related to this manuscript. Dr Antonio Gallo has nothing to disclose related to this manuscript. Dr Erica Curti has nothing to disclose related to this manuscript. Dr Alberto Gajofatto has nothing to disclose related to this manuscript. Dr Elisabetta Signoriello has nothing to disclose related to this manuscript. Dr Alvino Bisecco has nothing to disclose related to this manuscript. Dr Francesca Gobbin has nothing to disclose related to this manuscript. Dr Maria Teresa Ferrò has nothing to disclose related to this manuscript. De Gina Ferrazzano has nothing to disclose related to this manuscript. Dr Maddalena Sparaco has nothing to disclose related to this manuscript. Dr Paola Valentino has nothing to disclose related to this manuscript. Dr Massimiliano Mirabella has received honoraria for speaking, serving on the advisory board and consulting for Biogen, Novartis, Merck Serono, Roche, Almirall and Sanofi Genzyme. He has received reimbursement for congress attendance and travel costs from Biogen, Novartis, Sanofi Genzyme, Roche, Merck Serono and Teva. He was also a principal investigator for clinical trials for Biogen, Merck Serono, Novartis, Roche, Sanofi Genzyme, Teva and Ultragenix. Dr Franco Granella has nothing to disclose related to this manuscript. Dr Vincenzo Brescia Morra has nothing to disclose related to this manuscript. Dr Luigi Maria Edoardo Grimaldi has served on the advisory boards of Bayer, Biogen Celgene, Merck, Novartis, Roche, Sanofi and Teva. He has also received personal fees for speaking activities at congresses or sponsored symposia. Dr Francesco Patti has served on the advisory boards of Bayer, Biogen Celgene, Merck, Novartis, Roche, Sanofi, Teva and Almirall. He has also received personal fees for speaking activities at congresses or sponsored symposia.
Ethical approval
The study protocol was approved by the local ethics committee (Comitato Etico Catania 1, n.177/2017/PO) of the coordinating centre (Policlinico Vittorio Emanuele, Catania, Italy) and transmitted to the participating centres. Patients provided written informed consent. The study was conducted in accordance with the ethical principles of the Declaration of Helsinki and with the appropriate national regulations.
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415_2020_9959_MOESM1_ESM.jpg
Supplementary Appendix 1. Patients’ selection flow chart DMF, dimethyl fumarate; PPMS, Primary Progressive Multiple Sclerosis; RRMS, Relapsing Remitting Multiple Sclerosis; SPMS, Secondary Progressive Multiple Sclerosis; TRF, teriflunomide (JPG 76 kb)
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D’Amico, E., Zanghì, A., Sciandra, M. et al. Dimethyl fumarate vs Teriflunomide: an Italian time-to-event data analysis. J Neurol 267, 3008–3020 (2020). https://doi.org/10.1007/s00415-020-09959-1
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DOI: https://doi.org/10.1007/s00415-020-09959-1