Delay from treatment start to full effect of immunotherapies for multiple sclerosis
Author(s) -
Izanne Roos,
Emmanuelle Leray,
Federico Frascoli,
Romain Casey,
J William L Brown,
Dana Horáková,
Eva Havrdová,
Maria Trojano,
Francesco Patti,
Guillermo Izquierdo,
Sara Eichau,
Marco Onofrj,
Alessandra Lugaresi,
Alexandre Prat,
Marc Girard,
Pierre Grammond,
Patrizia Sola,
Diana Ferraro,
Serkan Özakbaş,
Roberto Bergamaschi,
María José Sá,
Elisabetta Cartechini,
Cavit Boz,
Franco Granella,
Raymond Hupperts,
Murat Terzi,
Jeannette LechnerScott,
Daniele Spitaleri,
Vincent Van Pesch,
Aysun Soysal,
Javier Olascoaga,
Julie Prévost,
Eduardo Agüera,
Mark Slee,
Tünde Csépány,
Recai Türkoğlu,
Youssef Sidhom,
Riadh Gouider,
Bart Van Wijmeersch,
Pamela McCombe,
Richard Macdonell,
Alasdair Coles,
Charles B. Malpas,
Helmut Butzkueven,
Sandra Vukusic,
Tomáš Kalinčík,
Pierre Duquette,
François Grand’Maison,
Gerardo Iuliano,
Cristina RamoTello,
Claudio Solaro,
José Antonio Cabrera-Gómez,
Maria Edite Rio,
R. Fernandez Bolanos,
Vahid Shaygannejad,
Celia OrejaGuevara,
José Luis Sánchez-Menoyo,
Thor Petersen,
Ayşe Altıntaş,
Michael Barnett,
Shlomo Flechter,
Yára Dadalti Fragoso,
Maria Pia Amato,
Fraser Moore,
Radek Ampapa,
Freek Verheul,
Suzanne Hodgkinson,
Edgardo Cristiano,
Bassem Yamout,
Guy Laureys,
José Andrés Domínguez,
Cees Zwanikken,
Norma Deri,
Enikő Dobos,
Cárlos Vrech,
Ernest Butler,
Csilla Rózsa,
Tatjana PetkovskaBoskova,
Rana Karabudak,
Cecília Rajda,
Jabir Alkhaboori,
Maria Luisa Saladino,
Cameron Shaw,
Neil Shuey,
Steve Vucic,
Ángel Pérez Sempere,
Jamie Campbell,
Piroska Imre,
Bruce Taylor,
Anneke van der Walt,
Ludwig Kappos,
E Roullet,
Orla Gray,
Magdolna Simó,
Carmen Adella Sîrbu,
Bruno Brochet,
François Cotton,
de Sèze,
Armelle Dion,
Pascal Douek,
Francis Guillemin,
David Laplaud,
Christine LebrunFrénay,
Thibault Moreau,
Javier Olaiz,
Jean Pelletier,
Claire Rigaud-Bully,
Bruno Stankoff,
Romain Marignier,
Marc Debouverie,
Gilles Edan,
Jonathan Ciron,
Aurélie Ruet,
Nicolas Collongues,
Catherine Lubetzki,
Patrick Vermersch,
Pierre Labauge,
Gilles Defer,
Mikaël Cohen,
Agnès Fromont,
Sandrine Wiertlewsky,
Eric Berger,
Pierre Clavelou,
Bertrand Audoin,
C. Giannesini,
Olivier Gout,
Éric Thouvenot,
Olivier Heinzlef,
Abdullatif Al-Khedr,
Bertrand Bourre,
Olivier Casez,
Philippe Cabre,
Alexis Montcuquet,
Alain Créange,
Jean-Philippe Camdessanché,
Justine Faure,
Aude Maurousset,
I. Patry,
Karolina Hankiewicz,
Corinne Pottier,
Nicolas Maubeuge,
Céline Labeyrie,
Chantal Nifle
Publication year - 2020
Publication title -
brain
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.142
H-Index - 336
eISSN - 1460-2156
pISSN - 0006-8950
DOI - 10.1093/brain/awaa231
Subject(s) - multiple sclerosis , medicine , psychology , physical medicine and rehabilitation , immunology
In multiple sclerosis, treatment start or switch is prompted by evidence of disease activity. Whilst immunomodulatory therapies reduce disease activity, the time required to attain maximal effect is unclear. In this study we aimed to develop a method that allows identification of the time to manifest fully and clinically the effect of multiple sclerosis treatments (‘therapeutic lag’) on clinical disease activity represented by relapses and progression-of-disability events. Data from two multiple sclerosis registries, MSBase (multinational) and OFSEP (French), were used. Patients diagnosed with multiple sclerosis, minimum 1-year exposure to treatment, minimum 3-year pretreatment follow-up and yearly review were included in the analysis. For analysis of disability progression, all events in the subsequent 5-year period were included. Density curves, representing incidence of relapses and 6-month confirmed progression events, were separately constructed for each sufficiently represented therapy. Monte Carlo simulations were performed to identify the first local minimum of the first derivative after treatment start; this point represented the point of stabilization of treatment effect, after the maximum treatment effect was observed. The method was developed in a discovery cohort (MSBase), and externally validated in a separate, non-overlapping cohort (OFSEP). A merged MSBase-OFSEP cohort was used for all subsequent analyses. Annualized relapse rates were compared in the time before treatment start and after the stabilization of treatment effect following commencement of each therapy. We identified 11 180 eligible treatment epochs for analysis of relapses and 4088 treatment epochs for disability progression. External validation was performed in four therapies, with no significant difference in the bootstrapped mean differences in therapeutic lag duration between registries. The duration of therapeutic lag for relapses was calculated for 10 therapies and ranged between 12 and 30 weeks. The duration of therapeutic lag for disability progression was calculated for seven therapies and ranged between 30 and 70 weeks. Significant differences in the pre- versus post-treatment annualized relapse rate were present for all therapies apart from intramuscular interferon beta-1a. In conclusion we have developed, and externally validated, a method to objectively quantify the duration of therapeutic lag on relapses and disability progression in different therapies in patients more than 3 years from multiple sclerosis onset. Objectively defined periods of expected therapeutic lag allows insights into the evaluation of treatment response in randomized clinical trials and may guide clinical decision-making in patients who experience early on-treatment disease activity. This method will subsequently be applied in studies that evaluate the effect of patient and disease characteristics on therapeutic lag.
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