Predictors of treatment switching in the Big Multiple Sclerosis Data Network.
Spelman T, Magyari M, Butzkueven H, Van Der Walt A, Vukusic S, Trojano M, Iaffaldano P, Horáková D, Drahota J, Pellegrini F, Hyde R, Duquette P, Lechner-Scott J, Sajedi SA, Lalive P, Shaygannejad V, Ozakbas S, Eichau S, Alroughani R, Terzi M, Girard M, Kalincik T, Grand'Maison F, Skibina O, Khoury SJ, Yamout B, Sa MJ, Gerlach O, Blanco Y, Karabudak R, Oreja-Guevara C, Altintas A, Hughes S, McCombe P, Ampapa R, de Gans K, McGuigan C, Soysal A, Prevost J, John N, Inshasi J, Stawiarz L, Manouchehrinia A, Forsberg L, Sellebjerg F, Glaser A, Pontieri L, Joensen H, Rasmussen PV, Sejbaek T, Poulsen MB, Christensen JR, Kant M, Stilund M, Mathiesen H, Hillert J; 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.
Spelman T, et al.
Front Neurol. 2023 Dec 22;14:1274194. doi: 10.3389/fneur.2023.1274194. eCollection 2023.
Front Neurol. 2023.
PMID: 38187157
Free PMC article.
CONCLUSION: Switching 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 …
CONCLUSION: Switching between DMTs is associated with female sex, age, and disability at baseline and has increased in frequency considerabl …
