Literature DB >> 21458828

Quantitative measures detect sensory and motor impairments in multiple sclerosis.

Scott D Newsome1, Joseph I Wang, Jonathan Y Kang, Peter A Calabresi, Kathleen M Zackowski.   

Abstract

BACKGROUND: Sensory and motor dysfunction in multiple sclerosis (MS) is often assessed with rating scales which rely heavily on clinical judgment. Quantitative devices may be more precise than rating scales.
OBJECTIVE: To quantify lower extremity sensorimotor measures in individuals with MS, evaluate the extent to which they can detect functional systems impairments, and determine their relationship to global disability measures.
METHODS: We tested 145 MS subjects and 58 controls. Vibration thresholds were quantified using a Vibratron-II device. Strength was quantified by a hand-held dynamometer. We also recorded Expanded Disability Status Scale (EDSS) and Timed 25-Foot Walk (T25FW). t-tests and Wilcoxon-rank sum were used to compare group data. Spearman correlations were used to assess relationships between each measure. We also used a step-wise linear regression model to determine how much the quantitative measures explain the variance in the respective functional systems scores (FSS).
RESULTS: EDSS scores ranged from 0-7.5, mean disease duration was 10.4 ± 9.6 years, and 66% were female. In relapsing-remitting MS, but not progressive MS, poorer vibration sensation correlated with a worse EDSS score, whereas progressive groups' ankle/hip strength changed significantly with EDSS progression. Interestingly, not only did sensorimotor measures significantly correlate with global disability measures (i.e., EDSS), but they had improved sensitivity, as they detected impairments in up to 32% of MS subjects with normal sensory and pyramidal FSS.
CONCLUSIONS: Sensory and motor deficits in MS can be quantified using clinically accessible tools and distinguish differences among MS subtypes. We show that quantitative sensorimotor measures are more sensitive than FSS from the EDSS. These tools have the potential to be used as clinical outcome measures in practice and for future MS clinical trials of neurorehabilitative and neuroreparative interventions.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21458828      PMCID: PMC3090542          DOI: 10.1016/j.jns.2011.03.003

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  36 in total

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Authors:  M E Shy; E M Frohman; Y T So; J C Arezzo; D R Cornblath; M J Giuliani; J C Kincaid; J L Ochoa; G J Parry; L H Weimer
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Authors:  J A Cohen; G R Cutter; J S Fischer; A D Goodman; F R Heidenreich; M F Kooijmans; A W Sandrock; R A Rudick; J H Simon; N A Simonian; E C Tsao; J N Whitaker
Journal:  Neurology       Date:  2002-09-10       Impact factor: 9.910

3.  Intensive immunosuppression in progressive multiple sclerosis. A randomized, three-arm study of high-dose intravenous cyclophosphamide, plasma exchange, and ACTH.

Authors:  S L Hauser; D M Dawson; J R Lehrich; M F Beal; S V Kevy; R D Propper; J A Mills; H L Weiner
Journal:  N Engl J Med       Date:  1983-01-27       Impact factor: 91.245

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

Authors:  R A Rudick; G Cutter; M Baier; E Fisher; D Dougherty; B Weinstock-Guttman; M K Mass; D Miller; N A Simonian
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5.  Intrarater and interrater reliability of the MS functional composite outcome measure.

Authors:  J A Cohen; J S Fischer; D M Bolibrush; A J Jak; J E Kniker; L A Mertz; T T Skaramagas; G R Cutter
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6.  Sensorimotor dysfunction in multiple sclerosis and column-specific magnetization transfer-imaging abnormalities in the spinal cord.

Authors:  Kathleen M Zackowski; Seth A Smith; Daniel S Reich; Eliza Gordon-Lipkin; BettyAnn A Chodkowski; Divya R Sambandan; Michael Shteyman; Amy J Bastian; Peter C van Zijl; Peter A Calabresi
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Journal:  Arch Phys Med Rehabil       Date:  2004-01       Impact factor: 3.966

8.  Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS).

Authors:  J F Kurtzke
Journal:  Neurology       Date:  1983-11       Impact factor: 9.910

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10.  Measuring the impact of MS on walking ability: the 12-Item MS Walking Scale (MSWS-12).

Authors:  J C Hobart; A Riazi; D L Lamping; R Fitzpatrick; A J Thompson
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  31 in total

1.  Longitudinal relationships among posturography and gait measures in multiple sclerosis.

Authors:  Nora E Fritz; Scott D Newsome; Ani Eloyan; Rhul Evans R Marasigan; Peter A Calabresi; Kathleen M Zackowski
Journal:  Neurology       Date:  2015-04-15       Impact factor: 9.910

2.  Five-year longitudinal changes in quantitative spinal cord MRI in multiple sclerosis.

Authors:  Jiwon Oh; Min Chen; Kateryna Cybulsky; Suradech Suthiphosuwan; Estelle Seyman; Blake Dewey; Marie Diener-West; Peter van Zijl; Jerry Prince; Daniel S Reich; Peter A Calabresi
Journal:  Mult Scler       Date:  2020-06-01       Impact factor: 6.312

3.  Multiple sclerosis: Linking disability and spinal cord imaging outcomes in MS.

Authors:  Massimo Filippi; Maria A Rocca
Journal:  Nat Rev Neurol       Date:  2013-03-12       Impact factor: 42.937

4.  Altered visual and somatosensory feedback affects gait stability in persons with multiple sclerosis.

Authors:  Jordan J Craig; Adam P Bruetsch; Sharon G Lynch; Jessie M Huisinga
Journal:  Hum Mov Sci       Date:  2019-05-28       Impact factor: 2.161

5.  Between-rater reliability of the 6-minute walk test, berg balance scale, and handheld dynamometry in people with multiple sclerosis.

Authors:  Elaine Toomey; Susan Coote
Journal:  Int J MS Care       Date:  2013

6.  Dynamic Balance Is Related to Physiological Impairments in Persons With Multiple Sclerosis.

Authors:  Alexander T Peebles; Adam P Bruetsch; Sharon G Lynch; Jessie M Huisinga
Journal:  Arch Phys Med Rehabil       Date:  2017-12-22       Impact factor: 3.966

7.  Force control during submaximal isometric contractions is associated with walking performance in persons with multiple sclerosis.

Authors:  Leah A Davis; Mohammed S Alenazy; Awad M Almuklass; Daniel F Feeney; Taian Vieira; Alberto Botter; Roger M Enoka
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8.  The impact of dynamic balance measures on walking performance in multiple sclerosis.

Authors:  Nora E Fritz; Rhul Evans R Marasigan; Peter A Calabresi; Scott D Newsome; Kathleen M Zackowski
Journal:  Neurorehabil Neural Repair       Date:  2014-05-01       Impact factor: 3.919

9.  Multiparametric MRI correlates of sensorimotor function in the spinal cord in multiple sclerosis.

Authors:  Jiwon Oh; Kathleen Zackowski; Min Chen; Scott Newsome; Shiv Saidha; Seth A Smith; Marie Diener-West; Jerry Prince; Craig K Jones; Peter C M Van Zijl; Peter A Calabresi; Daniel S Reich
Journal:  Mult Scler       Date:  2012-08-13       Impact factor: 6.312

10.  Interrater Reliability of Four Sensory Measures in People with Multiple Sclerosis.

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