Prognostic factors for long-term outcomes in relapsing-remitting multiple sclerosis

Objective: The objective of this article is to investigate potential clinical and MRI predictors of long-term outcomes in multiple sclerosis (MS). Methods: This was a post hoc analysis using data from all 382 patients in the PRISMS long-term follow-up (LTFU) study collected up to eight years aft...

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Main Authors: Traboulsee, Anthony L., Cornelisse, Peter, Sandberg-Wollheim, Magnhild, Uitdehaag, Bernard M.J., Kappos, Ludwig, Jongen, Peter J., Constantinescu, Cris S., Verdun di Cantogno, Elisabetta, Li, David K.B.
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Published: Sage 2016
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Online Access:https://eprints.nottingham.ac.uk/37726/
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author Traboulsee, Anthony L.
Cornelisse, Peter
Sandberg-Wollheim, Magnhild
Uitdehaag, Bernard M.J.
Kappos, Ludwig
Jongen, Peter J.
Constantinescu, Cris S.
Verdun di Cantogno, Elisabetta
Li, David K.B.
author_facet Traboulsee, Anthony L.
Cornelisse, Peter
Sandberg-Wollheim, Magnhild
Uitdehaag, Bernard M.J.
Kappos, Ludwig
Jongen, Peter J.
Constantinescu, Cris S.
Verdun di Cantogno, Elisabetta
Li, David K.B.
author_sort Traboulsee, Anthony L.
building Nottingham Research Data Repository
collection Online Access
description Objective: The objective of this article is to investigate potential clinical and MRI predictors of long-term outcomes in multiple sclerosis (MS). Methods: This was a post hoc analysis using data from all 382 patients in the PRISMS long-term follow-up (LTFU) study collected up to eight years after randomisation. An additional analysis was performed including only those patients originally randomised to receive early subcutaneous interferon (IFN) β-1a (n = 259). Baseline/prestudy variables, indicators of early clinical and MRI activity (baseline to month 24), and indicators of IFN β-1a treatment exposure (including medication possession ratio (MPR)) were investigated as candidate prognostic factors for outcomes measured from baseline and from month 24 to LTFU. Explanatory variables identified from univariate regression models (p ≤ 0.15) were selected for inclusion in stepwise multiple regression models. Results: Candidate prognostic factors selected by the univariate analysis (p ≤ 0.15) included age, MS duration, baseline brain volume, EDSS score, and log(T2 burden of disease (BOD)). In most of the multivariate regression models applied, higher baseline brain volume and MPR predicted better long-term clinical outcomes, while higher baseline and greater early increase in EDSS score predicted worse outcomes. Conclusion: Identification of markers that may be prognostic for long-term disability could help identify MS patients at higher risk of disability progression.
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spelling nottingham-377262020-05-04T18:13:34Z https://eprints.nottingham.ac.uk/37726/ Prognostic factors for long-term outcomes in relapsing-remitting multiple sclerosis Traboulsee, Anthony L. Cornelisse, Peter Sandberg-Wollheim, Magnhild Uitdehaag, Bernard M.J. Kappos, Ludwig Jongen, Peter J. Constantinescu, Cris S. Verdun di Cantogno, Elisabetta Li, David K.B. Objective: The objective of this article is to investigate potential clinical and MRI predictors of long-term outcomes in multiple sclerosis (MS). Methods: This was a post hoc analysis using data from all 382 patients in the PRISMS long-term follow-up (LTFU) study collected up to eight years after randomisation. An additional analysis was performed including only those patients originally randomised to receive early subcutaneous interferon (IFN) β-1a (n = 259). Baseline/prestudy variables, indicators of early clinical and MRI activity (baseline to month 24), and indicators of IFN β-1a treatment exposure (including medication possession ratio (MPR)) were investigated as candidate prognostic factors for outcomes measured from baseline and from month 24 to LTFU. Explanatory variables identified from univariate regression models (p ≤ 0.15) were selected for inclusion in stepwise multiple regression models. Results: Candidate prognostic factors selected by the univariate analysis (p ≤ 0.15) included age, MS duration, baseline brain volume, EDSS score, and log(T2 burden of disease (BOD)). In most of the multivariate regression models applied, higher baseline brain volume and MPR predicted better long-term clinical outcomes, while higher baseline and greater early increase in EDSS score predicted worse outcomes. Conclusion: Identification of markers that may be prognostic for long-term disability could help identify MS patients at higher risk of disability progression. Sage 2016-09-06 Article PeerReviewed Traboulsee, Anthony L., Cornelisse, Peter, Sandberg-Wollheim, Magnhild, Uitdehaag, Bernard M.J., Kappos, Ludwig, Jongen, Peter J., Constantinescu, Cris S., Verdun di Cantogno, Elisabetta and Li, David K.B. (2016) Prognostic factors for long-term outcomes in relapsing-remitting multiple sclerosis. Multiple Sclerosis Journal, 2 . pp. 1-9. ISSN 1477-0970 Disability MRI Long-term outcomes Multiple sclerosis Prognosis http://dx.doi.org/10.1177/2055217316666406 doi:10.1177/2055217316666406 doi:10.1177/2055217316666406
spellingShingle Disability
MRI
Long-term outcomes
Multiple sclerosis
Prognosis
Traboulsee, Anthony L.
Cornelisse, Peter
Sandberg-Wollheim, Magnhild
Uitdehaag, Bernard M.J.
Kappos, Ludwig
Jongen, Peter J.
Constantinescu, Cris S.
Verdun di Cantogno, Elisabetta
Li, David K.B.
Prognostic factors for long-term outcomes in relapsing-remitting multiple sclerosis
title Prognostic factors for long-term outcomes in relapsing-remitting multiple sclerosis
title_full Prognostic factors for long-term outcomes in relapsing-remitting multiple sclerosis
title_fullStr Prognostic factors for long-term outcomes in relapsing-remitting multiple sclerosis
title_full_unstemmed Prognostic factors for long-term outcomes in relapsing-remitting multiple sclerosis
title_short Prognostic factors for long-term outcomes in relapsing-remitting multiple sclerosis
title_sort prognostic factors for long-term outcomes in relapsing-remitting multiple sclerosis
topic Disability
MRI
Long-term outcomes
Multiple sclerosis
Prognosis
url https://eprints.nottingham.ac.uk/37726/
https://eprints.nottingham.ac.uk/37726/
https://eprints.nottingham.ac.uk/37726/