Literature DB >> 21975200

Combined MRI lesions and relapses as a surrogate for disability in multiple sclerosis.

M P Sormani1, D K Li, P Bruzzi, B Stubinski, P Cornelisse, S Rocak, N De Stefano.   

Abstract

OBJECTIVE: In multiple sclerosis (MS), the aim of therapies is to prevent the accumulation of irreversible disability. This is difficult to assess given the short time course of clinical trials. MRI markers and relapses are often used as surrogate of disability in MS studies, but their validity remains controversial. We sought to validate, at the individual patient level, MRI lesions and relapses as surrogates for disability progression over the course of MS trials.
METHODS: Individual patient data from a large, placebo-controlled trial of interferon β-1a in relapsing-remitting MS (RRMS) were analyzed. The Prentice criteria were applied to evaluate surrogacy of 1-year MRI active lesions and relapses for disability worsening (Expanded Disability Status Scale [EDSS]) over the 2-year follow-up.
RESULTS: All Prentice criteria were satisfied. Treatment reduced by 31% the odds of having EDSS worsening over 2 years, reducing the mean number of MRI lesions by 61% and the mean number of relapses by 36% over 1 year. Both 1-year MRI lesion activity and relapses, when considered independently, accounted for more than 60% of the treatment effect on 2-year EDSS worsening. A combination of 1-year MRI lesion activity and relapses explained 100% of the treatment effect on EDSS worsening over 2 years.
CONCLUSIONS: A combined measure of 1-year changes in MRI lesions and relapses after interferon therapy fully estimated the corresponding effect on 2-year EDSS worsening. This short-term combined measure appears to be a surrogate for disability progression over a longer term when evaluating the effect of interferon in RRMS.

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Year:  2011        PMID: 21975200     DOI: 10.1212/WNL.0b013e31823648b9

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  30 in total

1.  T cell cytokine signatures: Biomarkers in pediatric multiple sclerosis.

Authors:  Cather M Cala; Carson E Moseley; Chad Steele; Sarah M Dowdy; Gary R Cutter; Jayne M Ness; Tara M DeSilva
Journal:  J Neuroimmunol       Date:  2016-04-30       Impact factor: 3.478

2.  Use of Magnetic Resonance Imaging as Well as Clinical Disease Activity in the Clinical Classification of Multiple Sclerosis and Assessment of Its Course: A Report from an International CMSC Consensus Conference, March 5-7, 2010.

Authors:  Stuart D Cook; Suhayl Dhib-Jalbut; Peter Dowling; Luca Durelli; Corey Ford; Gavin Giovannoni; June Halper; Colleen Harris; Joseph Herbert; David Li; John A Lincoln; Robert Lisak; Fred D Lublin; Claudia F Lucchinetti; Wayne Moore; Robert T Naismith; Carlos Oehninger; Jack Simon; Maria Pia Sormani
Journal:  Int J MS Care       Date:  2012

3.  Towards the implementation of 'no evidence of disease activity' in multiple sclerosis treatment: the multiple sclerosis decision model.

Authors:  Martin Stangel; Iris Katharina Penner; Boris A Kallmann; Carsten Lukas; Bernd C Kieseier
Journal:  Ther Adv Neurol Disord       Date:  2015-01       Impact factor: 6.570

Review 4.  Unraveling treatment response in multiple sclerosis: A clinical and MRI challenge.

Authors:  Claudio Gasperini; Luca Prosperini; Mar Tintoré; Maria Pia Sormani; Massimo Filippi; Jordi Rio; Jacqueline Palace; Maria A Rocca; Olga Ciccarelli; Frederik Barkhof; Jaume Sastre-Garriga; Hugo Vrenken; Jette L Frederiksen; Tarek A Yousry; Christian Enzinger; Alex Rovira; Ludwig Kappos; Carlo Pozzilli; Xavier Montalban; Nicola De Stefano
Journal:  Neurology       Date:  2018-12-26       Impact factor: 9.910

Review 5.  Assessing treatment response to interferon-β: is there a role for MRI?

Authors:  Ruth Dobson; Richard A Rudick; Ben Turner; Klaus Schmierer; Gavin Giovannoni
Journal:  Neurology       Date:  2013-12-11       Impact factor: 9.910

Review 6.  Assessing treatment outcomes in multiple sclerosis trials and in the clinical setting.

Authors:  Carmen Tur; Marcello Moccia; Frederik Barkhof; Jeremy Chataway; Jaume Sastre-Garriga; Alan J Thompson; Olga Ciccarelli
Journal:  Nat Rev Neurol       Date:  2018-01-12       Impact factor: 42.937

7.  The magnetic resonance imaging 'rule of five': predicting the occurrence of relapse.

Authors:  Charity J Morgan; Ashutosh Ranjan; Inmaculada B Aban; Gary R Cutter
Journal:  Mult Scler       Date:  2013-04-23       Impact factor: 6.312

8.  Interpreting therapeutic effect in multiple sclerosis via MRI contrast enhancing lesions: now you see them, now you don't.

Authors:  Ilana R Leppert; S Narayanan; D Araújo; P S Giacomini; Y Lapierre; D L Arnold; G B Pike
Journal:  J Neurol       Date:  2014-02-26       Impact factor: 4.849

9.  Relapse rates in patients with multiple sclerosis treated with fingolimod: Subgroup analyses of pooled data from three phase 3 trials.

Authors:  Tobias Derfuss; Daniel Ontaneda; Jacqueline Nicholas; Xiangyi Meng; Kathleen Hawker
Journal:  Mult Scler Relat Disord       Date:  2016-05-24       Impact factor: 4.339

Review 10.  Defining and scoring response to IFN-β in multiple sclerosis.

Authors:  Maria Pia Sormani; Nicola De Stefano
Journal:  Nat Rev Neurol       Date:  2013-07-30       Impact factor: 42.937

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