Reliability and validity of Japanese version of Fugl-Meyer assessment for the lower extremities

Nakazono, Tetsuharu; Takahashi, Kayoko; Suzuki, Yoshikazu; Mizuno, Kosuke; Nomura, Yuko; Hiraga, Yoshimi; Matsumoto, Shûji; Nishiyama, Kazutoshi; Fukuda, Michinari

doi:10.1080/10749357.2021.1899700

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…The 33-item FMA-UE (3-point ordinal scale; score range: 0–66 points) and the 17-item FMA-LE (2-point ordinal scale; score range, 0–34 points) have been widely used to assess the severity of upper or lower limb paralysis, respectively 29 , 30 . A higher score indicated a lower level of impairment in the paralyzed upper or lower limb.…”

Section: Methodsmentioning

confidence: 99%

A decision tree algorithm to identify predictors of post-stroke complex regional pain syndrome

Katsura,

Ohga,

Shimo

et al. 2024

Sci Rep

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This prospective cohort study aimed to identify the risk factors for post-stroke complex regional pain syndrome (CRPS) using a decision tree algorithm while comprehensively assessing upper limb and lower limb disuse and physical inactivity. Upper limb disuse (Fugl-Meyer assessment of upper extremity [FMA-UE], Action Research Arm Test, Motor Activity Log), lower limb disuse (Fugl-Meyer Assessment of lower extremity [FMA-LE]), balance performance (Berg balance scale), and physical inactivity time (International Physical Activity Questionnaire-Short Form [IPAQ-SF]) of 195 stroke patients who visited the Kishiwada Rehabilitation Hospital were assessed at admission. The incidence of post-stroke CRPS was 15.4% in all stroke patients 3 months after admission. The IPAQ, FMA-UE, and FMA-LE were extracted as risk factors for post-stroke CRPS. According to the decision tree algorithm, the incidence of post-stroke CRPS was 1.5% in patients with a short physical inactivity time (IPAQ-SF < 635), while it increased to 84.6% in patients with a long inactivity time (IPAQ-SF ≥ 635) and severe disuse of upper and lower limbs (FMA-UE score < 19.5; FMA-LE score < 16.5). The incidence of post-stroke CRPS may increase with lower-limb disuse and physical inactivity, in addition to upper-limb disuse. Increasing physical activity and addressing lower- and upper-limb motor paralysis may reduce post-stroke CRPS.

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Section: Methodsmentioning

confidence: 99%

A decision tree algorithm to identify predictors of post-stroke complex regional pain syndrome

Katsura,

Ohga,

Shimo

et al. 2024

Sci Rep

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“…7 The Fugl-Meyer Assessment for the lower extremities (FMA-LE) is another alternative reliable spasticity evaluation scale based on 5 parameters (sensory and motor functions, pain, balance, and range of motion). 9 Other potential alternative measures of spasticity include the Multiple Sclerosis Spasticity Scale (MSSS88) and Patient-Reported Impact of Spasticity Measure (PRISM), which reliably assesses the impact of spasticity along daily life activities and social functions from the patient's perspective. 2,7 The Multiple Sclerosis Walking Scale (MSWS-12) and Multiple Sclerosis Impact Scale (MSIS-29) provide alternative measures to assess spasticity impact from the patient's perspective.…”

Section: Therapeutic Advances In Neurological Disordersmentioning

confidence: 99%

Using modified Ashworth scale for assessing multiple sclerosis-associated spasticity: a high time for a paradigm shift

MohanaSundaram

Sathanantham

Gudesblatt

et al. 2023

Ther Adv Neurol Disord

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“…The above evaluation methods have been widely used in clinical practice for a long time, and their reliability and validity are also widely recognized. However, the actual application is easily influenced by personal experience [ 6 , 7 , 8 , 9 ]. Therefore, there is great interest in developing an automated system to achieve intelligent, objective and quantitative assessment of hand function rehabilitation after stroke.…”

Section: Introductionmentioning

confidence: 99%

Application of Multi-Dimensional Intelligent Visual Quantitative Assessment System to Evaluate Hand Function Rehabilitation in Stroke Patients

et al. 2022

Brain Sciences

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Background: Hand dysfunction is one of the main symptoms of stroke patients, but there is still a lack of accurate hand function assessment systems. This study focused on the application of the multi-dimensional intelligent visual quantitative assessment system (MDIVQAS) in the rehabilitation assessment of hand function in stroke patients and evaluate hand function rehabilitation in stroke patients. Methods: Eighty-two patients with stroke and unilateral hand dysfunction were evaluated by MDIVQAS. Cronbach’s Alpha coefficient was used to assess the internal consistency of MDIVQAS; the F-test is used to assess the differences in MDIVQAS for multiple repeated measures. Spearman’s analysis was used to identify correlations of MDIVQAS with other assessment systems. T-tests were used to identify differences in outcomes assessed with MDIVQAS in patients before and after treatment. p< 0.05 were considered significant. Results: (1) Cronbach’s Alpha coefficient of MDIVQAS in evaluating hand’s function >0.9. (2) There was no significant difference between the other repeated measurements, except for thumb rotation in MDIVQAS. (3) MDIVQAS had a significant correlation with other assessment systems (r > 0.5, p < 0.01). (4) There were significant differences in the evaluation of hand function in patients before and after treatment using MDIVQAS. Conclusion: The MDIVQAS system has good reliability and validity in the evaluation of stroke hand function, and it can also better evaluate the treatment effect.

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Reliability and validity of Japanese version of Fugl-Meyer assessment for the lower extremities

Cited by 5 publications

References 25 publications

A decision tree algorithm to identify predictors of post-stroke complex regional pain syndrome

A decision tree algorithm to identify predictors of post-stroke complex regional pain syndrome

Using modified Ashworth scale for assessing multiple sclerosis-associated spasticity: a high time for a paradigm shift

Application of Multi-Dimensional Intelligent Visual Quantitative Assessment System to Evaluate Hand Function Rehabilitation in Stroke Patients

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