Association Between Fatigue and Motor Exertion in Patients With Multiple Sclerosis—a Prospective Study

Background: Fatigue in multiple sclerosis (MS) is conceived as a multidimensional construct. Objectives: This study aims to describe the changes of balance and gait parameters after 6 min of walking (6 MW) as potential quantitative markers for perceptions of state fatigue and trait fatigue in MS. Methods: A total of 19 patients with MS (17 with fatigue) and 24 healthy subjects underwent static posturography, gait analysis, and ratings of perceived exertion before and after 6 MW. Results: 6 MW was perceived as exhaustive, but both groups featured more dynamic comfortable speed walking after 6 MW. Shorter stride length at maximum speed and increased postural sway after 6 MW indicated fatigability of balance and gait in MS group only. While most changes were related to higher levels of perceived exertion after 6 MW (state fatigue), higher fatigue ratings (trait fatigue) were only associated with less increase in arm swing at comfortable speed. Further analysis revealed different associations of trait fatigue and performance fatigability with disability and motor functions. Performance fatigability was most closely related to the Expanded Disability Status Scale, while for trait fatigue, the strongest correlations were seen with balance function and handgrip strength. Conclusions: Fatigability of performance was closely related to perceptions of exertion after 6 MW (state fatigue) and disability in MS but distinct from fatigue ratings, conceived as trait fatigue. Our study identified postural sway, arm swing during gait, and hand grip strength as unexpected potential motor indicators of fatigue ratings in MS.

[1]  G. Borg Psychophysical bases of perceived exertion. , 1982, Medicine and science in sports and exercise.

[2]  Lauren B. Krupp,et al.  Fatigue in multiple sclerosis. , 1988, Archives of neurology.

[3]  David C Mohr,et al.  Fatigue and multiple sclerosis: evidence-based management strategies for fatigue in multiple sclerosis , 1998 .

[4]  R. Spitzer,et al.  The PHQ-9: validity of a brief depression severity measure. , 2001, Journal of general internal medicine.

[5]  C Trenkwalder,et al.  Fatigue in multiple sclerosis: a comparison of different rating scales and correlation to clinical parameters , 2002, Multiple sclerosis.

[6]  Teresa Foo,et al.  : SYSTEMATIC LITERATURE REVIEW , 2004 .

[7]  R. Spitzer,et al.  The PHQ-9 , 2001, Journal of General Internal Medicine.

[8]  Jeffrey A. Cohen,et al.  Evaluation of the six-minute walk in multiple sclerosis subjects and healthy controls , 2008, Multiple sclerosis.

[9]  L. Kappos,et al.  The Fatigue Scale for Motor and Cognitive Functions (FSMC): validation of a new instrument to assess multiple sclerosis-related fatigue , 2009, Multiple sclerosis.

[10]  Mirjam Pijnappels,et al.  Consequences of lower extremity and trunk muscle fatigue on balance and functional tasks in older people: A systematic literature review , 2010, BMC geriatrics.

[11]  Avan Aihie Sayer,et al.  A review of the measurement of grip strength in clinical and epidemiological studies: towards a standardised approach. , 2011, Age and ageing.

[12]  E. Mohammadi,et al.  Barriers and facilitators related to the implementation of a physiological track and trigger system: A systematic review of the qualitative evidence , 2017, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[13]  Roger M Enoka,et al.  Fatigue and fatigability in neurologic illnesses , 2013, Neurology.

[14]  J. Corboy,et al.  The association between multiple sclerosis-related fatigue and balance as a function of central sensory integration. , 2013, Gait & posture.

[15]  Jacques Duysens,et al.  The how and why of arm swing during human walking. , 2013, Gait & posture.

[16]  R. Motl,et al.  Symptomatic correlates of six-minute walk performance in persons with multiple sclerosis. , 2013, European journal of physical and rehabilitation medicine.

[17]  S. Lord,et al.  Six minutes of walking leads to reduced lower limb strength and increased postural sway in people with Multiple Sclerosis. , 2014, NeuroRehabilitation.

[18]  R. Motl,et al.  Examination of spatiotemporal gait parameters during the 6-min walk in individuals with multiple sclerosis , 2014, International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation.

[19]  K. Rockwood,et al.  Modifications to the frailty phenotype criteria: Systematic review of the current literature and investigation of 262 frailty phenotypes in the Survey of Health, Ageing, and Retirement in Europe , 2015, Ageing Research Reviews.

[20]  F. Paul,et al.  Altered basal ganglia functional connectivity in multiple sclerosis patients with fatigue , 2015, Multiple sclerosis.

[21]  Khalid Yusoff,et al.  Prognostic value of grip strength: findings from the Prospective Urban Rural Epidemiology (PURE) study , 2015, The Lancet.

[22]  C. Lederer,et al.  Ecological Validity of Walking Capacity Tests in Multiple Sclerosis , 2015, PloS one.

[23]  P. Calabresi,et al.  Longitudinal relationships among posturography and gait measures in multiple sclerosis , 2015, Neurology.

[24]  Martina Minnerop,et al.  Accuracy and repeatability of two methods of gait analysis - GaitRite™ und Mobility Lab™ - in subjects with cerebellar ataxia. , 2016, Gait & posture.

[25]  S. Gold,et al.  The Berlin Treatment Algorithm: recommendations for tailored innovative therapeutic strategies for multiple sclerosis-related fatigue , 2016, EPMA Journal.

[26]  Peter Feys,et al.  Prevalence of Walking-Related Motor Fatigue in Persons With Multiple Sclerosis , 2016, Neurorehabilitation and neural repair.

[27]  Jacques Duchateau,et al.  Translating Fatigue to Human Performance. , 2016, Medicine and science in sports and exercise.

[28]  Friedemann Paul,et al.  Validity of visual perceptive computing for static posturography in patients with multiple sclerosis , 2016, Multiple sclerosis.

[29]  O. Bock,et al.  Relation between Multiple Markers of Work-Related Fatigue , 2015, Safety and health at work.

[30]  Inge Zijdewind,et al.  The Assessment of Motor Fatigability in Persons With Multiple Sclerosis: A Systematic Review , 2017, Neurorehabilitation and neural repair.

[31]  A. Zangen,et al.  Safety and preliminary efficacy of deep transcranial magnetic stimulation in MS-related fatigue , 2017, Neurology: Neuroimmunology & Neuroinflammation.

[32]  Brett W Fling,et al.  Relationship between perceived fatigue and performance fatigability in people with multiple sclerosis: A systematic review and meta-analysis. , 2017, Journal of psychosomatic research.

[33]  F. Paul,et al.  Fatigue as a symptom or comorbidity of neurological diseases , 2017, Nature Reviews Neurology.

[34]  David H. Miller,et al.  Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria , 2017, The Lancet Neurology.

[35]  Bernhard Hemmer,et al.  Fatigue in multiple sclerosis: Associations with clinical, MRI and CSF parameters , 2018, Multiple sclerosis.

[36]  M. Delgado-Rodríguez,et al.  Systematic review and meta-analysis. , 2017, Medicina intensiva.

[37]  A. Terracciano,et al.  Subjective age and risk of incident dementia: Evidence from the National Health and Aging Trends survey. , 2018, Journal of psychiatric research.

[38]  A. Ziegler,et al.  Treatment choices and neuropsychological symptoms of a large cohort of early MS , 2018, Neurology: Neuroimmunology & Neuroinflammation.

[39]  T. Vollmer,et al.  Efficacy of Balance and Eye-Movement Exercises for Persons With Multiple Sclerosis (BEEMS) , 2018, Neurology.

[40]  G. Wylie,et al.  Fronto-striatal network activation leads to less fatigue in multiple sclerosis , 2018, Multiple sclerosis.

[41]  T. Clark,et al.  Hand Grip Strength as a Clinical Biomarker for ME/CFS and Disease Severity , 2018, Front. Neurol..

[42]  Andrea A. Kühn,et al.  Less Is More – Estimation of the Number of Strides Required to Assess Gait Variability in Spatially Confined Settings , 2019, Front. Aging Neurosci..

[43]  M. Schoenfeld,et al.  Neural correlates of effort-dependent and effort-independent cognitive fatigue components in patients with multiple sclerosis , 2019, Multiple sclerosis.

[44]  C. Dettmers,et al.  Trait Self-Control Outperforms Trait Fatigue in Predicting MS Patients' Cortical and Perceptual Responses to an Exhaustive Task , 2019, Neural plasticity.

[45]  F. Paul,et al.  Multiple sclerosis–related fatigue: Altered resting-state functional connectivity of the ventral striatum and dorsolateral prefrontal cortex , 2019, Multiple sclerosis.