Literature DB >> 27903937

Identification and validation of clinically meaningful benchmarks in the 12-item Multiple Sclerosis Walking Scale.

Myla D Goldman1, Melanie D Ward1, Robert W Motl2, David E Jones1, John H Pula3, Diego Cadavid4.   

Abstract

BACKGROUND: The 12-item Multiple Sclerosis Walking Scale (12-MSWS) is a validated questionnaire which assessed walking function; it has been widely adopted in multiple sclerosis (MS) clinical research.
OBJECTIVE: Identify and validate clinically meaningful 12-MSWS benchmarks in MS.
METHODS: Cross-sectional study of 159 MS patients permitted identification of clinically meaningful 12-MSWS benchmarks based on their relationship to real-life anchors. Identified 12-MSWS benchmarks were then validated in a second population of 96 subjects using measures of ambulation, cognition, and patient-reported outcomes.
RESULTS: 12-MSWS score of 0-24.99 was associated with working outside the home and assistance-free mobility; 25-49.99 was associated with gait disability and difficulty doing housework; 50-74.99 was associated with unemployment, government healthcare, cane use, and difficulty performing instrumental activities of daily living (IADLs); and 75-100 was associated with change in occupation due to walking, mobility impairment requiring bilateral assistance, and inability to perform IADLs. During the validation step, strong linear associations were identified between 12-MSWS benchmarks and other MS-related disability outcome measures, including ambulatory and non-ambulatory measures.
CONCLUSION: We have identified clinically meaningful 12-MSWS benchmarks which define four groups differentiated by increasing levels of mobility impairment and associated loss of functional independence. These data provide insight into how 12-MSWS translate to meaningful functional limitations in MS.

Entities:  

Keywords:  MSWS; Multiple sclerosis; clinically meaningful; outcome research; walking impairment

Mesh:

Year:  2016        PMID: 27903937      PMCID: PMC5411321          DOI: 10.1177/1352458516680749

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  31 in total

1.  Quantifying gait abnormalities in persons with multiple sclerosis with minimal disability.

Authors:  Jacob J Sosnoff; Brian M Sandroff; Robert W Motl
Journal:  Gait Posture       Date:  2012-03-17       Impact factor: 2.840

Review 2.  Assessing walking disability in multiple sclerosis.

Authors:  Bernd C Kieseier; Carlo Pozzilli
Journal:  Mult Scler       Date:  2012-04-24       Impact factor: 6.312

3.  Validity of minimal clinically important difference values for the multiple sclerosis walking scale-12?

Authors:  Robert W Motl; Yvonne C Learmonth; Lara A Pilutti; Deirdre Dlugonski; Rachel Klaren
Journal:  Eur Neurol       Date:  2014-01-21       Impact factor: 1.710

4.  Quantifying gait impairment in multiple sclerosis using GAITRite technology.

Authors:  Jacob J Sosnoff; Madeline Weikert; Deirdre Dlugonski; Douglas C Smith; Robert W Motl
Journal:  Gait Posture       Date:  2011-04-30       Impact factor: 2.840

5.  Talking the talk on walking the walk: a 12-item generic walking scale suitable for neurological conditions?

Authors:  A Holland; R J O'Connor; A J Thompson; E D Playford; J C Hobart
Journal:  J Neurol       Date:  2006-08-21       Impact factor: 4.849

6.  The six spot step test: a new measurement for walking ability in multiple sclerosis.

Authors:  M M Nieuwenhuis; H Van Tongeren; P S Sørensen; M Ravnborg
Journal:  Mult Scler       Date:  2006-08       Impact factor: 6.312

7.  Oxygen cost of treadmill and over-ground walking in mildly disabled persons with multiple sclerosis.

Authors:  Robert W Motl; Yoojin Suh; Deirdre Dlugonski; Madeline Weikert; Stamatis Agiovlasitis; Bo Fernhall; Myla Goldman
Journal:  Neurol Sci       Date:  2010-08-27       Impact factor: 3.307

8.  Validity of the Beck Depression Inventory-Fast Screen in multiple sclerosis.

Authors:  R H B Benedict; I Fishman; M M McClellan; R Bakshi; B Weinstock-Guttman
Journal:  Mult Scler       Date:  2003-08       Impact factor: 6.312

9.  Clinical relevance using timed walk tests and 'timed up and go' testing in persons with multiple sclerosis.

Authors:  Ylva Nilsagard; Cecilia Lundholm; Lars-Gunnar Gunnarsson; Eva Dcnison
Journal:  Physiother Res Int       Date:  2007-06

10.  Validity of performance scales for disability assessment in multiple sclerosis.

Authors:  R A Marrie; M Goldman
Journal:  Mult Scler       Date:  2007-07-10       Impact factor: 6.312

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2.  Detection of subtle gait disturbance and future fall risk in early multiple sclerosis.

Authors:  Rachel Brandstadter; Oluwasheyi Ayeni; Stephen C Krieger; Noam Y Harel; Miguel X Escalon; Ilana Katz Sand; Victoria M Leavitt; Michelle T Fabian; Korhan Buyukturkoglu; Sylvia Klineova; Claire S Riley; Fred D Lublin; Aaron E Miller; James F Sumowski
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3.  Identifying falls remotely in people with multiple sclerosis.

Authors:  Valerie J Block; Erica A Pitsch; Arpita Gopal; Chao Zhao; Mark J Pletcher; Gregory M Marcus; Jeffrey E Olgin; Jill Hollenbach; Riley Bove; Bruce A C Cree; Jeffrey M Gelfand
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4.  Cognitive Processing Speed Impairment Does Not Influence the Construct Validity of Six-Spot Step Test Performance in People With Multiple Sclerosis.

Authors:  Brian M Sandroff; Stephanie L Silveira; Jessica F Baird; Trinh Huynh; Robert W Motl
Journal:  Phys Ther       Date:  2021-02-04

5.  Association of Continuous Assessment of Step Count by Remote Monitoring With Disability Progression Among Adults With Multiple Sclerosis.

Authors:  Valerie J Block; Riley Bove; Chao Zhao; Priya Garcha; Jennifer Graves; Andrew R Romeo; Ari J Green; Diane D Allen; Jill A Hollenbach; Jeffrey E Olgin; Gregory M Marcus; Mark J Pletcher; Bruce A C Cree; Jeffrey M Gelfand
Journal:  JAMA Netw Open       Date:  2019-03-01

Review 6.  The Role of Remote Monitoring in Evaluating Fatigue in Multiple Sclerosis: A Review.

Authors:  Valerie J Block; Riley Bove; Bardia Nourbakhsh
Journal:  Front Neurol       Date:  2022-06-27       Impact factor: 4.086

7.  The Dresden Protocol for Multidimensional Walking Assessment (DMWA) in Clinical Practice.

Authors:  Katrin Trentzsch; Marie Luise Weidemann; Charlotte Torp; Hernan Inojosa; Maria Scholz; Rocco Haase; Dirk Schriefer; Katja Akgün; Tjalf Ziemssen
Journal:  Front Neurosci       Date:  2020-10-26       Impact factor: 4.677

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