Gait characteristics of multiple sclerosis patients in the absence of clinical disability

Nogueira, Leandro Alberto Calazans; Teixeira, Luciano; Sabino, Pollyane Galinari; Filho, Hélcio Alvarenga; Alvarenga, Regina Maria Papais; Thuler, Luiz Cláudio Santos

doi:10.3109/09638288.2012.738760

Cited by 35 publications

(29 citation statements)

References 34 publications

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“…Briefly, in cases of motor fatigue, although some authors found an association between self-reported fatigue scores and gait parameters [21,137,138,189,193] or power generation [87]; others failed to detect such a relationship [41,46,136,148,236]. In a similar manner, cognitive measures were the subject of some studies.…”

Section: Objective Measuresmentioning

confidence: 96%

Fatigue in multiple sclerosis – Insights into evaluation and management

Ayache

Chalah

2017

Neurophysiologie Clinique/Clinical Neurophysiology

123

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Section: Objective Measuresmentioning

confidence: 96%

Fatigue in multiple sclerosis – Insights into evaluation and management

Ayache

Chalah

2017

Neurophysiologie Clinique/Clinical Neurophysiology

123

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“…Increased hip flexion [2], knee flexion [2,5], and ankle plantarflexion [2,3] at initial foot contact and early stance, and decreased hip extension [2,5], knee extension [2] and ankle plantarflexion [2,11] around late stance are commonly reported features, with the decreased hip extension around late stance and decreased knee extension (i.e. increased flexion) around late swing and foot contact likely contributing to decreases in step length and walking speed.…”

Section: Introductionmentioning

confidence: 99%

Orthotic and therapeutic effect of functional electrical stimulation on fatigue induced gait patterns in people with multiple sclerosis

Barr

Patritti

Bowes

et al. 2016

Disability and Rehabilitation: Assistive Technology

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Purpose: To assess the orthotic and therapeutic effects of prolonged use of functional electrical stimulation (FES) on fatigue induced gait patterns in people with Multiple Sclerosis (MS). Method: Thirteen people with MS completed 3D gait analysis with FES off and on, before and after a fatiguing 6-minute walk, at baseline and after 8 weeks of use of FES. Results: Eleven participants completed all testing. An orthotic effect on gait was not evident on first use of FES. However, therapeutic effects on gait after 8 weeks use were generally positive, including increases in walking speed due to improved neuromuscular control and power generated at the hip and ankle of the more affected limb. The action of FES alone was not sufficient to overcome all fatigue related deficits in gait but there was evidence 8 weeks use of FES can ameliorate some fatigue effects on lower limb kinetics, including benefits to ankle mechanics involved in generating power around push-off during stance. Conclusions: Eightweeks of FES can benefit the gait pattern of people with MS under nonfatigued and fatigued conditions.

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“…Various studies examining the association between gait performance and perceived fatigue have presented mixed and limited results. Huisinga et al [ 18 ] found a correlation between fatigue measured by the Fatigue Severity Scale and deficits in ankle power generation at late stance, in mild disability MS participants (average EDSS = 2.6).In contrast, Noguiera et al did not observe any interaction between the fatigue and ankle motion in 12 PwMS [ 19 ]. Sacco et al [ 20 ] found a correlation between temporal-spatial parameters of gait (speed, cadence and stride length) collected by the GAITRite mat and fatigue (measured by the Wurzburg Fatigue Inventory for MS), revealing a significant negative correlation between velocity (r = -0.54), cadence (r = -0.44) and stride length (r = -0.5).…”

Section: Introductionmentioning

confidence: 99%

Association between perceived fatigue and gait parameters measured by an instrumented treadmill in people with multiple sclerosis: a cross-sectional study

Kalron

2015

J NeuroEngineering Rehabil

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BackgroundMultiple sclerosis (MS) is a multi-focal progressive disorder of the central nervous system often resulting in diverse clinical manifestations. Symptomatic fatigue is quite common in people with MS (PwMS), with prevalence as high as 85%. Nevertheless, it remains poorly understood and its association with walking capabilities unclear. Therefore, the objective of this investigation was to examine the relationship between symptomatic fatigue and spatio-temporal parameters of gait in PwMS based on an instrumented treadmill.MethodsOne hundred and twenty-four relapsing-remitting patients diagnosed with MS, 84 women and 40 men aged 42.6 (S.D = 11.9), participated in this investigation. A convenience sample of 25 apparently healthy subjects, 15 women and 10 men aged 40.3 (S.D = 11.1), served as controls. Gait spatiotemporal parameters were obtained using the Zebris FDM-T Treadmill (Zebris1 Medical GmbH, Germany). The Modified Fatigue Impact Scale (MFIS), a self-reported questionnaire, was used to determine the level of symptomatic fatigue in the MS study group. PwMS were divided into two groups: fatigued and non-fatigued.ResultsForty-four PwMS were classified as suffering from fatigue (mean MFIS = 52.0, S.D = 13.7); 80 were classified as non-fatigued (mean MFIS = 14.5, S.D = 14.5). Individuals in the fatigued group walked slower than those in the non-fatigued group; 1.7 (S.D = 2.4) vs. 2.4 (S.D = 1.0); P < 0.001, respectively. Moreover, fatigued patients took smaller steps, had a shorter stride length, prolonged stance, double support phase and a shorter single support phase compared to the non-fatigued group. In the total group, fatigue was significantly correlated with 10 (out of 14) spatiotemporal parameters of gait, however, correlation scores <0.40 were considered as weak correlations. According to step one of the linear logistic regression analysis, the temporal gait component was found to explain 5.1% of the variance related to symptomatic fatigue, R2 = 0.051, χ2 (1) = 6.511, P = 0.011. Step two of the model added the gait spatial component, thus increasing the explaining variance to 9.3%; R2 = 0.093, χ2 (2) = 12.12, P = 0.002. The asymmetry gait parameter did not contribute to the equation.ConclusionsPerceived fatigue is related to walking speed in PwMS, nevertheless its contribution to level of fatigue is limited.

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Gait characteristics of multiple sclerosis patients in the absence of clinical disability

Cited by 35 publications

References 34 publications

Fatigue in multiple sclerosis – Insights into evaluation and management

Fatigue in multiple sclerosis – Insights into evaluation and management

Orthotic and therapeutic effect of functional electrical stimulation on fatigue induced gait patterns in people with multiple sclerosis

Association between perceived fatigue and gait parameters measured by an instrumented treadmill in people with multiple sclerosis: a cross-sectional study

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