25
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Difference in Motor Fatigue between Patients with Stroke and Patients with Multiple Sclerosis: A Pilot Study

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Fatigue is often reported in stroke patients. However, it is still unclear if fatigue in stroke patients is more prominent, more frequent or more “typical” than in patients with multiple sclerosis (MS) and if the pathophysiology differs between these two populations. The purpose of this study was to compare motor fatigue and fatigue-induced changes in kinematic gait parameters between stroke patients, MS patients, and healthy persons. Gait parameters at the beginning and end of a treadmill walking test were assessed in 10 stroke patients, 40 MS patients, and 20 healthy subjects. The recently developed Fatigue index Kliniken Schmieder (FKS) based on change of the movement’s attractor and its variability was used to measure motor fatigue. Six stroke patients had a pathological FKS. The FKS (indicating the level of motor fatigue) in stroke patients was similar compared to MS patients. Stroke patients had smaller step length, step height and greater step width, circumduction with the right and left leg, and greater sway compared to the other groups at the beginning and at the end of test. A severe walking impairment in stroke patients does not necessarily cause a pathological FKS indicating motor fatigue. Moreover, the FKS can be used as a measure of motor fatigue in stroke and MS and may also be applicable to other diseases.

          Related collections

          Most cited references61

          • Record: found
          • Abstract: found
          • Article: not found

          Fatigue and fatigability in neurologic illnesses: proposal for a unified taxonomy.

          Fatigue is commonly reported in many neurologic illnesses, including multiple sclerosis, Parkinson disease, myasthenia gravis, traumatic brain injury, and stroke. Fatigue contributes substantially to decrements in quality of life and disability in these illnesses. Despite the clear impact of fatigue as a disabling symptom, our understanding of fatigue pathophysiology is limited and current treatment options rarely lead to meaningful improvements in fatigue. Progress continues to be hampered by issues related to terminology and assessment. In this article, we propose a unified taxonomy and a novel assessment approach to addressing distinct aspects of fatigue and fatigability in clinical and research settings. This taxonomy is based on our current knowledge of the pathophysiology and phenomenology of fatigue and fatigability. Application of our approach indicates that the assessment and reporting of fatigue can be clarified and improved by utilizing this taxonomy and creating measures to address distinct aspects of fatigue and fatigability. We review the strengths and weaknesses of several common measures of fatigue and suggest, based on our model, that many research questions may be better addressed by using multiple measures. We also provide examples of how to apply and validate the taxonomy and suggest directions for future research.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The Fatigue Scale for Motor and Cognitive Functions (FSMC): validation of a new instrument to assess multiple sclerosis-related fatigue.

            Fatigue symptoms are reported by a majority of patients with multiple sclerosis (MS). Reliable assessment, however, is a demanding issue as the symptoms are experienced subjectively and as objective assessment strategies are missing. The objective of this study was to develop and validate a new tool, the Fatigue Scale for Motor and Cognitive Functions (FSMC), for the assessment of MS-related cognitive and motor fatigue. A total of 309 MS patients and 147 healthy controls were included into the validation study. The FSMC was tested against several external criteria (e.g. cognition, motivation, personality and other fatigue scales). The item-analysis and validation procedure showed that the FSMC is highly sensitive and specific in detecting fatigued MS patients, that both subscales significantly differentiated between patients and controls (p 0.91) as well as test-retest reliability (r > 0.80) were high. Cut-off values were determined to classify patients as mildly, moderately or severely fatigued. In conclusion, the FSMC is a new scale that has undergone validation based on a large sample of patients and that provides differential quantification and graduation of cognitive and motor fatigue.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Psychometric qualities of a brief self-rated fatigue measure: The Fatigue Assessment Scale.

              The main aim of this study was to examine the dimensionality and psychometric qualities of a new 10-item fatigue measure, the Fatigue Assessment Scale (FAS). As part of a longitudinal study, the respondents, all workers with at least 20 working hours per week, completed the FAS, four related fatigue measures, a depression questionnaire, and an emotional stability scale. The FAS had a high internal consistency. The pattern of correlations and factor analysis showed good convergent and divergent validity. The FAS correlated strongly with the other fatigue scales. In a factor analysis of the five fatigue questionnaires, the FAS had the highest factor loading on a clear one-factor solution. Moreover, factor analyses revealed that fatigue, on the one hand, and depression and emotional stability, on the other hand, are separate constructs. Finally, it was shown that 8 out of the 10 FAS items were unbiased concerning gender; two had a uniform bias. The FAS represents a potentially valuable assessment instrument with promising internal consistency reliability and validity. Gender bias in the FAS does not have consequences for use of the FAS.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Neurol
                Front Neurol
                Front. Neurol.
                Frontiers in Neurology
                Frontiers Media S.A.
                1664-2295
                22 December 2014
                2014
                : 5
                : 279
                Affiliations
                [1] 1Division of Sport Science, University of Konstanz , Konstanz, Germany
                [2] 2Lurija Institute, Kliniken Schmieder Allensbach , Allensbach, Germany
                [3] 3Department of Orthopaedics, University Hospital Basel , Basel, Switzerland
                [4] 4Kliniken Schmieder Konstanz , Konstanz, Germany
                Author notes

                Edited by: John DeLuca, Kessler Foundation, USA

                Reviewed by: Peter Feys, University of Hasselt, Belgium; Randall L. Jensen, Northern Michigan University, USA

                *Correspondence: Christian Dettmers, Kliniken Schmieder Konstanz, Eichhornstraße 68, Konstanz 78464, Germany e-mail: c.dettmers@ 123456kliniken-schmieder.de

                This article was submitted to Multiple Sclerosis and Neuroimmunology, a section of the journal Frontiers in Neurology.

                Article
                10.3389/fneur.2014.00279
                4273629
                25566183
                45d66518-ba4b-400c-b218-5e472d2e2c6b
                Copyright © 2014 Sehle, Vieten, Mündermann and Dettmers.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 22 August 2014
                : 08 December 2014
                Page count
                Figures: 4, Tables: 2, Equations: 1, References: 74, Pages: 10, Words: 8248
                Categories
                Neuroscience
                Original Research

                Neurology
                multiple sclerosis,stroke,motor fatigue,gait analysis,attractor,fatigue index,questionnaire assessment,physical performance

                Comments

                Comment on this article