全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
PLOS ONE  2012 

Motor Fatigue Measurement by Distance-Induced Slow Down of Walking Speed in Multiple Sclerosis

DOI: 10.1371/journal.pone.0034744

Full-Text   Cite this paper   Add to My Lib

Abstract:

Background and rationale Motor fatigue and ambulation impairment are prominent clinical features of people with multiple sclerosis (pMS). We hypothesized that a multimodal and comparative assessment of walking speed on short and long distance would allow a better delineation and quantification of gait fatigability in pMS. Our objectives were to compare 4 walking paradigms: the timed 25-foot walk (T25FW), a corrected version of the T25FW with dynamic start (T25FW+), the timed 100-meter walk (T100MW) and the timed 500-meter walk (T500MW). Methods Thirty controls and 81 pMS performed the 4 walking tests in a single study visit. Results The 4 walking tests were performed with a slower WS in pMS compared to controls even in subgroups with minimal disability. The finishing speed of the last 100-meter of the T500MW was the slowest measurable WS whereas the T25FW+ provided the fastest measurable WS. The ratio between such slowest and fastest WS (Deceleration Index, DI) was significantly lower only in pMS with EDSS 4.0–6.0, a pyramidal or cerebellar functional system score reaching 3 or a maximum reported walking distance ≤4000 m. Conclusion The motor fatigue which triggers gait deceleration over a sustained effort in pMS can be measured by the WS ratio between performances on a very short distance and the finishing pace on a longer more demanding task. The absolute walking speed is abnormal early in MS whatever the distance of effort when patients are unaware of ambulation impairment. In contrast, the DI-measured ambulation fatigability appears to take place later in the disease course.

References

[1]  Heesen C, Bohm J, Reich C, Kasper J, Goebel M, et al. (2008) Patient perception of bodily functions in multiple sclerosis: gait and visual function are the most valuable. Mult Scler 14: 988–991.
[2]  Schwid SR, Thornton CA, Pandya S, Manzur KL, Sanjak M, et al. (1999) Quantitative assessment of motor fatigue and strength in MS. Neurology 53: 743–750.
[3]  Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33: 1444–1452.
[4]  Fischer JS, Rudick RA, Cutter GR, Reingold SC (1999) The Multiple Sclerosis Functional Composite Measure (MSFC): an integrated approach to MS clinical outcome assessment. National MS Society Clinical Outcomes Assessment Task Force. Mult Scler 5: 244–250.
[5]  Cutter GR, Baier ML, Rudick RA, Cookfair DL, Fischer JS, et al. (1999) Development of a multiple sclerosis functional composite as a clinical trial outcome measure. Brain 122(Pt 5): 871–882.
[6]  Nieuwenhuis MM, Van Tongeren H, Sorensen PS, Ravnborg M (2006) The six spot step test: a new measurement for walking ability in multiple sclerosis. Mult Scler 12: 495–500.
[7]  Phan-Ba R, Pace A, Calay P, Grodent P, Douchamps F, et al. (2011) Comparison of the timed 25-foot and the 100-meter walk as performance measures in multiple sclerosis. Neurorehabil Neural Repair 25: 672–679.
[8]  Creange A, Serre I, Levasseur M, Audry D, Nineb A, et al. (2007) Walking capacities in multiple sclerosis measured by global positioning system odometer. Mult Scler 13: 220–223.
[9]  Schimpl M, Tallner A, Neuhaus A, Daumer M (2011) Mobile accelerometry as a tool to objectively assess fatigue in MS patients. 5th Joint triennial congress of the European and Americas Committees for Treatment and Research in Multiple Sclerosis. Amsterdam, The Netherlands.
[10]  Phan-Ba R, Calay P, Grodent P, Delrue G, Lommers E, et al. (2011) A corrected version of the Timed-25 Foot Walk Test with a dynamic start to measure the maximum walking speed in multiple sclerosis. NeuroRehabilitation. accepted for publication.
[11]  Gijbels D, Dalgas U, Romberg A, de Groot V, Bethoux F, et al. (2012) Which walking capacity tests to use in multiple sclerosis? A multicentre study providing the basis for a core set. Mult Scler 18: 364–371.
[12]  Goldman MD, Marrie RA, Cohen JA (2008) Evaluation of the six-minute walk in multiple sclerosis subjects and healthy controls. Mult Scler 14: 383–390.
[13]  Albrecht H, Wotzel C, Erasmus LP, Kleinpeter M, Konig N, et al. (2001) Day-to-day variability of maximum walking distance in MS patients can mislead to relevant changes in the Expanded Disability Status Scale (EDSS): average walking speed is a more constant parameter. Mult Scler 7: 105–109.
[14]  Feys P, Gijbels D, Romberg A, Santoyo C, Gebara B, et al. (2012) Effect of time of day on walking capacity and self-reported fatigue in persons with multiple sclerosis: a multi-center trial. Mult Scler 18: 351–357.
[15]  Kalron A, Dvir Z, Achiron A (2010) Walking while talking–difficulties incurred during the initial stages of multiple sclerosis disease process. Gait Posture 32: 332–335.
[16]  Martin CL, Phillips BA, Kilpatrick TJ, Butzkueven H, Tubridy N, et al. (2006) Gait and balance impairment in early multiple sclerosis in the absence of clinical disability. Mult Scler 12: 620–628.
[17]  Corradini ML, Fioretti S, Leo T, Piperno R (1997) Early recognition of postural disorders in multiple sclerosis through movement analysis: a modeling study. IEEE Trans Biomed Eng 44: 1029–1038.
[18]  Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA, et al. (2011) Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 69: 292–302.
[19]  Phan-Ba R, Pace A, Calay P, Grodent P, Douchamps F, et al. (2011) Comparison of the Timed 25-Foot and the 100-Meter Walk as Performance Measures in Multiple Sclerosis. Neurorehabil Neural Repair.
[20]  Schimpl M, Moore C, Lederer C, Neuhaus A, Sambrook J, et al. (2011) Association between Walking Speed and Age in Healthy, Free-Living Individuals Using Mobile Accelerometry-A Cross-Sectional Study. PLoS One 6: e23299.
[21]  Miller D, Cohen J, Fox R, Hartman J, Schwetz K, et al. (2011) A clinic-based assessment of the relation of depression to other clinical parameters using a novel information technology application. 5th Joint triennial congress of the European and Americas Committees for Treatment and Research in Multiple Sclerosis. Amsterdam, The Netherlands.
[22]  Gijbels D, Dalgas U, Romberg A, de Groot V, Bethoux F, et al. (2011) Which walking capacity tests to use in multiple sclerosis? A multicentre study providing the basis for a core set. Mult Scler.
[23]  Benedetti MG, Piperno R, Simoncini L, Bonato P, Tonini A, et al. (1999) Gait abnormalities in minimally impaired multiple sclerosis patients. Mult Scler 5: 363–368.
[24]  Steens A, Heersema DJ, Maurits NM, Renken RJ, Zijdewind I (2011) Mechanisms underlying muscle fatigue differ between multiple sclerosis patients and controls: A combined electrophysiological and neuroimaging study. Neuroimage.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133