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Predictors of treatment switching in the Big Multiple Sclerosis Data Network

Authors :
Tim Spelman
Melinda Magyari
Helmut Butzkueven
Anneke Van Der Walt
Sandra Vukusic
Maria Trojano
Pietro Iaffaldano
Dana Horáková
Jirí Drahota
Fabio Pellegrini
Robert Hyde
Pierre Duquette
Jeannette Lechner-Scott
Seyed Aidin Sajedi
Patrice Lalive
Vahid Shaygannejad
Serkan Ozakbas
Sara Eichau
Raed Alroughani
Murat Terzi
Marc Girard
Tomas Kalincik
Francois Grand'Maison
Olga Skibina
Samia J. Khoury
Bassem Yamout
Maria Jose Sa
Oliver Gerlach
Yolanda Blanco
Rana Karabudak
Celia Oreja-Guevara
Ayse Altintas
Stella Hughes
Pamela McCombe
Radek Ampapa
Koen de Gans
Chris McGuigan
Aysun Soysal
Julie Prevost
Nevin John
Jihad Inshasi
Leszek Stawiarz
Ali Manouchehrinia
Lars Forsberg
Finn Sellebjerg
Anna Glaser
Luigi Pontieri
Hanna Joensen
Peter Vestergaard Rasmussen
Tobias Sejbaek
Mai Bang Poulsen
Jeppe Romme Christensen
Matthias Kant
Morten Stilund
Henrik Mathiesen
Jan Hillert
The Big MS Data Network: a collaboration of the Czech MS Registry, the Danish MS Registry, Italian MS Registry, Swedish MS Registry, MSBase Study Group, and OFSEP
Source :
Frontiers in Neurology, Vol 14 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

BackgroundTreatment switching is a common challenge and opportunity in real-world clinical practice. Increasing diversity in disease-modifying treatments (DMTs) has generated interest in the identification of reliable and robust predictors of treatment switching across different countries, DMTs, and time periods.ObjectiveThe objective of this retrospective, observational study was to identify independent predictors of treatment switching in a population of relapsing-remitting MS (RRMS) patients in the Big Multiple Sclerosis Data Network of national clinical registries, including the Italian MS registry, the OFSEP of France, the Danish MS registry, the Swedish national MS registry, and the international MSBase Registry.MethodsIn this cohort study, we merged information on 269,822 treatment episodes in 110,326 patients from 1997 to 2018 from five clinical registries. Patients were included in the final pooled analysis set if they had initiated at least one DMT during the relapsing-remitting MS (RRMS) stage. Patients not diagnosed with RRMS or RRMS patients not initiating DMT therapy during the RRMS phase were excluded from the analysis. The primary study outcome was treatment switching. A multilevel mixed-effects shared frailty time-to-event model was used to identify independent predictors of treatment switching. The contributing MS registry was included in the pooled analysis as a random effect.ResultsEvery one-point increase in the Expanded Disability Status Scale (EDSS) score at treatment start was associated with 1.08 times the rate of subsequent switching, adjusting for age, sex, and calendar year (adjusted hazard ratio [aHR] 1.08; 95% CI 1.07–1.08). Women were associated with 1.11 times the rate of switching relative to men (95% CI 1.08–1.14), whilst older age was also associated with an increased rate of treatment switching. DMTs started between 2007 and 2012 were associated with 2.48 times the rate of switching relative to DMTs that began between 1996 and 2006 (aHR 2.48; 95% CI 2.48–2.56). DMTs started from 2013 onwards were more likely to switch relative to the earlier treatment epoch (aHR 8.09; 95% CI 7.79–8.41; reference = 1996–2006).ConclusionSwitching between DMTs is associated with female sex, age, and disability at baseline and has increased in frequency considerably in recent years as more treatment options have become available. Consideration of a patient's individual risk and tolerance profile needs to be taken into account when selecting the most appropriate switch therapy from an expanding array of treatment choices.

Details

Language :
English
ISSN :
16642295
Volume :
14
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neurology
Publication Type :
Academic Journal
Accession number :
edsdoj.3d52ca1fdc794fa48cba7a9cc328885d
Document Type :
article
Full Text :
https://doi.org/10.3389/fneur.2023.1274194