Literature DB >> 11376182

Use of the Multiple Sclerosis Functional Composite to predict disability in relapsing MS.

R A Rudick1, G Cutter, M Baier, E Fisher, D Dougherty, B Weinstock-Guttman, M K Mass, D Miller, N A Simonian.   

Abstract

OBJECTIVE: To determine whether the MS Functional Composite (MSFC) can predict future disease progression in patients with relapsing remitting MS (RR-MS).
BACKGROUND: The MSFC was recommended by the Clinical Outcomes Assessment Task Force of the National MS Society as a new clinical outcome measure for clinical trials. The MSFC, which contains a test of walking speed, arm dexterity, and cognitive function, is expressed as a single score on a continuous scale. It was thought to offer improved reliability and responsiveness compared with traditional clinical MS outcome measures. The predictive value of MSFC scores in RR-MS has not been determined.
METHODS: The authors conducted a follow-up study of patients with RR-MS who participated in a phase III study of interferon beta-1a (AVONEX) to determine the predictive value of MSFC scores. MSFC scores were constructed from data obtained during the phase III trial. Patients were evaluated by neurologic and MRI examinations after an average interval of 8.1 years from the start of the clinical trial. The relationships between MSFC scores during the clinical trial and follow-up status were determined.
RESULTS: MSFC scores from the phase III clinical trial strongly predicted clinical and MRI status at the follow-up visit. Baseline MSFC scores, and change in MSFC score over 2 years correlated with both disability status and the severity of whole brain atrophy at follow-up. There were also significant correlations between MSFC scores during the clinical trial and patient-reported quality of life at follow-up. The correlation with whole brain atrophy at follow-up was stronger for baseline MSFC than for baseline EDSS.
CONCLUSION: MSFC scores in patients with RR-MS predict the level of disability and extent of brain atrophy 6 to 8 years later. MSFC scores may prove useful to assign prognosis, monitor patients during early stages of MS, and to assess treatment effects.

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Year:  2001        PMID: 11376182     DOI: 10.1212/wnl.56.10.1324

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


  20 in total

1.  Inferences and Power Analysis Concerning Two Negative Binomial Distributions with An Application to MRI Lesion Counts Data.

Authors:  Inmaculada B Aban; Gary R Cutter; Nsoki Mavinga
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Review 2.  Multiple Sclerosis Functional Composite.

Authors:  Serkan Demir
Journal:  Noro Psikiyatr Ars       Date:  2018       Impact factor: 1.339

3.  Modeling Approaches in Cost-Effectiveness Analysis of Disease-Modifying Therapies for Relapsing-Remitting Multiple Sclerosis: An Updated Systematic Review and Recommendations for Future Economic Evaluations.

Authors:  Luis Hernandez; Malinda O'Donnell; Maarten Postma
Journal:  Pharmacoeconomics       Date:  2018-10       Impact factor: 4.981

Review 4.  Evolution of Patient-Reported Outcomes and Their Role in Multiple Sclerosis Clinical Trials.

Authors:  Cindy J Nowinski; Deborah M Miller; David Cella
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

5.  Modeling lesion counts in multiple sclerosis when patients have been selected for baseline activity.

Authors:  C J Morgan; I B Aban; C R Katholi; G R Cutter
Journal:  Mult Scler       Date:  2010-06-18       Impact factor: 6.312

6.  Quantitative measures detect sensory and motor impairments in multiple sclerosis.

Authors:  Scott D Newsome; Joseph I Wang; Jonathan Y Kang; Peter A Calabresi; Kathleen M Zackowski
Journal:  J Neurol Sci       Date:  2011-04-01       Impact factor: 3.181

Review 7.  Therapeutic Targets for Multiple Sclerosis: Current Treatment Goals and Future Directions.

Authors:  Andrew L Smith; Jeffrey A Cohen; Le H Hua
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

8.  Design, rationale, and baseline characteristics of the randomized double-blind phase II clinical trial of ibudilast in progressive multiple sclerosis.

Authors:  Robert J Fox; Christopher S Coffey; Merit E Cudkowicz; Trevis Gleason; Andrew Goodman; Eric C Klawiter; Kazuko Matsuda; Michelle McGovern; Robin Conwit; Robert Naismith; Akshata Ashokkumar; Robert Bermel; Dixie Ecklund; Maxine Koepp; Jeffrey Long; Sneha Natarajan; Srividya Ramachandran; Thomai Skaramagas; Brenda Thornell; Jon Yankey; Mark Agius; Khurram Bashir; Bruce Cohen; Patricia Coyle; Silvia Delgado; Dana Dewitt; Angela Flores; Barbara Giesser; Myla Goldman; Burk Jubelt; Neil Lava; Sharon Lynch; Augusto Miravalle; Harold Moses; Daniel Ontaneda; Jai Perumal; Michael Racke; Pavle Repovic; Claire Riley; Christopher Severson; Shlomo Shinnar; Valerie Suski; Bianca Weinstock-Gutman; Vijayshree Yadav; Aram Zabeti
Journal:  Contemp Clin Trials       Date:  2016-08-10       Impact factor: 2.226

Review 9.  Quantification and clinical relevance of brain atrophy in multiple sclerosis: a review.

Authors:  Blandine Grassiot; Béatrice Desgranges; Francis Eustache; Gilles Defer
Journal:  J Neurol       Date:  2009-04-08       Impact factor: 4.849

10.  Clinical and conventional MRI predictors of disability and brain atrophy accumulation in RRMS. A large scale, short-term follow-up study.

Authors:  Sarlota Mesaros; Maria A Rocca; Maria P Sormani; Arnaud Charil; Giancarlo Comi; Massimo Filippi
Journal:  J Neurol       Date:  2008-07-03       Impact factor: 4.849

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