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Predicting long-term sustained disability progression in multiple sclerosis.

Authors :
Van Wijmeersch B.
Malpas C.
Hupperts R.M.M.
Alroughani R.
Boz C.
Shaygannejad V.
Van Pesch V.
Kappos L.
Lechner-Scott J.
Bergamaschi R.
Turkoglu R.
Solaro C.
Ramo-Tello C.
Iuliano G.
Granella F.
Spitaleri D.L.A.
Bolanos R.F.
Slee M.
McCombe P.
Prevost J.
Ampapa R.
Ozakbas S.
Sanchez-Menoyo J.L.
Soysal A.
Vucic O.
Petersen T.
Verheul F.
Butler E.
Hodgkinson S.
Sidhom Y.
Gouider R.
Cristiano E.
Urtaza F.J.O.
Saladino M.L.
Barnett M.
Deri N.
Moore F.
Rozsa C.
Yamout B.
Skibina O.
Gray O.
Campbell J.
Sempere A.
Singhal B.
Fragoso Y.
Shaw C.
Kermode A.
Petkovska-Boskova T.
Taylor B.
Simo M.
Vella N.
Shuey N.
Alkhaboori J.
Al-Harbi T.
Macdonell R.
Dominguez J.A.
Kister I.
Csepany T.
Vrech C.
Kovacs K.
Sirbu C.A.
Hughes S.
Sormani M.P.
Butzkueven H.
Kalincik T.
Sharmin S.
Bovis F.
Horakova D.
Havrdova E.
Ayuso G.I.
Eichau S.
Trojano M.
Prat A.
Girard M.
Duquette P.
Onofrj M.
Lugaresi A.
Grand'Maison F.
Grammond P.
Sola P.
Ferraro D.
Terzi M.
Van Wijmeersch B.
Malpas C.
Hupperts R.M.M.
Alroughani R.
Boz C.
Shaygannejad V.
Van Pesch V.
Kappos L.
Lechner-Scott J.
Bergamaschi R.
Turkoglu R.
Solaro C.
Ramo-Tello C.
Iuliano G.
Granella F.
Spitaleri D.L.A.
Bolanos R.F.
Slee M.
McCombe P.
Prevost J.
Ampapa R.
Ozakbas S.
Sanchez-Menoyo J.L.
Soysal A.
Vucic O.
Petersen T.
Verheul F.
Butler E.
Hodgkinson S.
Sidhom Y.
Gouider R.
Cristiano E.
Urtaza F.J.O.
Saladino M.L.
Barnett M.
Deri N.
Moore F.
Rozsa C.
Yamout B.
Skibina O.
Gray O.
Campbell J.
Sempere A.
Singhal B.
Fragoso Y.
Shaw C.
Kermode A.
Petkovska-Boskova T.
Taylor B.
Simo M.
Vella N.
Shuey N.
Alkhaboori J.
Al-Harbi T.
Macdonell R.
Dominguez J.A.
Kister I.
Csepany T.
Vrech C.
Kovacs K.
Sirbu C.A.
Hughes S.
Sormani M.P.
Butzkueven H.
Kalincik T.
Sharmin S.
Bovis F.
Horakova D.
Havrdova E.
Ayuso G.I.
Eichau S.
Trojano M.
Prat A.
Girard M.
Duquette P.
Onofrj M.
Lugaresi A.
Grand'Maison F.
Grammond P.
Sola P.
Ferraro D.
Terzi M.
Publication Year :
2020

Abstract

Objective: Using global MSBase registry, this study establishes 6-month confirmed disability progression events as indicators of long-term disability worsening suitable for use in randomized clinical trials in multiple sclerosis (MS). Background(s): Randomized clinical trials evaluate short-term treatment effect on disability in the form of 3-6-month confirmed disability progression, but whether these translate into long-term disability outcomes is unknown. Design/Methods: A Cox proportional hazards model identified associations between patients' demographic and clinical characteristics and the probability of recovery from disability progression events. The coefficients from this model were used to calculate a sustained progression score, which was evaluated in a validation cohort and applied to a trial cohort. Result(s): 902 patients (development cohort), patient characteristics at the time of progression associated with lower probability of subsequent improvement were age (hazard ratio (HR)=0.98), primary progressive (HR=0.37) and progressive-relapsing (HR=0.36) MS, expanded disability status scale score >=6 (HR=0.71) and its change from baseline (HR=0.67), number of affected functional system scores (HR=0.92) and pyramidal (HR=0.79) functional system score (p<0.05). The strength of the association with pyramidal score decreased with time (HR=1.01). A relapse within previous month (HR=1.46) and worsening in sensory functional system score (HR=1.17) were associated with higher probability of improvement after progression. The sustained progression score (range 0.39-4.79) in the validation cohort with 1,271 progression events, estimated a 53% lower chance of improvement for each unit increase in the score (HR=0.47). The proportions of progression events sustained at 5 years stratified by the score were 1: 68%, 2: 79%, 3: 94%, 4: 100%. The progression scores were then applied to the CLARITY trial data. Conclusion(s): Estimate of the probability of disability progress

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1305114744
Document Type :
Electronic Resource