The use of the gait profile score and gait variable score in individuals with Duchenne Muscular Dystrophy

Souza, Mariana Angélica de; Cezarani, Ananda; Lizzi, Elisângela Aparecida da Silva; Davoli, Gabriela Barroso de Queiroz; Mattiello, Stela Márcia; Jones, Richard; Mattiello-Sverzut, Ana Cláudia

doi:10.1016/j.jbiomech.2019.109485

Cited by 9 publications

(7 citation statements)

References 21 publications

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“…To our knowledge, the current study is the first in finding a significant progression in a global gait outcome. Previously reported differences in GPS and gait deviation index between progressive groups, which were classified based on motor abilities or the gait deviation index, did not reach significance ( Sienko Thomas et al, 2010 ; de Souza et al, 2019 ). Mainly at older ages, a steep increase in GPS could be detected, while in young boys with DMD the increase in GPS was small.…”

Section: Discussionmentioning

confidence: 73%

Longitudinal Alterations in Gait Features in Growing Children With Duchenne Muscular Dystrophy

Vandekerckhove

Hauwe

Beukelaer

et al. 2022

Front. Hum. Neurosci.

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Prolonging ambulation is an important treatment goal in children with Duchenne muscular dystrophy (DMD). Three-dimensional gait analysis (3DGA) could provide sensitive parameters to study the efficacy of clinical trials aiming to preserve ambulation. However, quantitative descriptions of the natural history of gait features in DMD are first required. The overall goal was to provide a full delineation of the progressive gait pathology in children with DMD, covering the entire period of ambulation, by performing a so-called mixed cross-sectional longitudinal study. Firstly, to make our results comparable with previous literature, we aimed to cross-sectionally compare 31 predefined gait features between children with DMD and a typically developing (TD) database (1). Secondly, we aimed to explore the longitudinal changes in the 31 predefined gait features in growing boys with DMD using follow-up 3DGA sessions (2). 3DGA-sessions (n = 124) at self-selected speed were collected in 27 boys with DMD (baseline age: 4.6–15 years). They were repeatedly measured over a varying follow-up period (range: 6 months–5 years). The TD group consisted of 27 children (age: 5.4–15.6 years). Per measurement session, the spatiotemporal parameters, and the kinematic and kinetic waveforms were averaged over the selected gait cycles. From the averaged waveforms, discrete gait features (e.g., maxima and minima) were extracted. Mann-Whitney U tests were performed to cross-sectionally analyze the differences between DMD at baseline and TD (1). Linear mixed effect models were performed to assess the changes in gait features in the same group of children with DMD from both a longitudinal (i.e., increasing time) as well as a cross-sectional perspective (i.e., increasing baseline age) (2). At baseline, the boys with DMD differed from the TD children in 17 gait features. Additionally, 21 gait features evolved longitudinally when following-up the same boys with DMD and 25 gait features presented a significant cross-sectional baseline age-effect. The current study quantitatively described the longitudinal alterations in gait features in boys with DMD, thereby providing detailed insight into how DMD gait deteriorates. Additionally, our results highlight that gait features extracted from 3DGA are promising outcome measures for future clinical trials to quantify the efficacy of novel therapeutic strategies.

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Section: Discussionmentioning

confidence: 73%

Longitudinal Alterations in Gait Features in Growing Children With Duchenne Muscular Dystrophy

Vandekerckhove

Hauwe

Beukelaer

et al. 2022

Front. Hum. Neurosci.

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“…Thus, GPS is not merely a quantification of gait; it can be used as a powerful tool to differentiate and detect changes in clinical status in various situations, such as pre-and postoperatively. The GPS and GVS have been used to assess pathologic gait characteristics in different disorders: CP [6,21,22], Down syndrome [7], Duchenne muscular dystrophy [8], Charcot-Marie-Tooth disease [9], achondroplasia [10] and multiple sclerosis [11]. [21,24].…”

Section: Discussionmentioning

confidence: 99%

“…They are on the basis of the root mean square difference between gait data for a subject and the average data obtained from children with no gait pathology. A strong linear correlation between the GPS and the functional assessment questionnaire (FAQ) was found [5], and recently the GPS and GVS have been utilized for many clinical studies in cerebral palsy and other diseases [6–11].…”

Section: Introductionmentioning

confidence: 99%

Gait profile score and gait variable scores in spina bifida

Fusagawa

Fujita

Matsuyama

et al. 2021

Journal of Pediatric Orthopaedics B

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Quantitative data assessment on the basis of threedimensional gait analysis has been routinely used in the evaluation of pathological gait of children with cerebral palsy. However, a similar quantitative methodology has not been applied for spina bifida patients in whom atypical gait patterns are thought to correlate with various levels of neurological paralysis. The purpose of this study is to investigate the differences among gait patterns in spina bifida between different levels of neurological lesions using quantitative methods: Gait profile score (GPS) and gait variable scores (GVS), scoring subject's gait deviation from a reference. In this cross-sectional study, 22 children with spina bifida (11 women, 11 men; mean age 9.4 years, SD 3.8 years, range 3-17 years), were examined using three-dimensional gait analysis from 2008 to 2018. Physical examination allowed for classification of each of the 44 limbs as either L4, L5 or S1 and comparison with the GPS and GVS using a linear mixed model. GPS and the GVS of the pelvis and hip range of motion in the coronal plane were significantly higher in the L4 group than in the L5 and S1 groups (GPS, P = 0.041, P = 0.003, respectively; GVS of pelvis, P = 0.001, P = 0.001; GVS of hip, P < 0.001, P < 0.001) GVS (foot progression angle) was significantly lower in the S1 group than in L4 and L5 groups (P < 0.001, P = 0.037). We found that GPS and GVS enable us to quantitatively assess the differences among gait patterns between different neurological levels. The scoring tool showed the potential for detecting individual neurological changes.

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“…10 The importance of this tool motivated the development of indices to synthesize gait analysis data, facilitating its understanding. 11 Two of these data, the gait profile scale (GPS) and the gait deviation index (GDI) are global measures of gait variability and are sensitive to detect relevant changes in the deambulation of patients with orthopedic and neurological disorders. 12,13 The objective of the present study was to evaluate and determine, through instrumented three-dimensional (3D) gait analysis, the kinetic, kinematic, and electromyographic (EMG) profile of patients with MPS IV and VI in a reference service for rare diseases.…”

Section: Introductionmentioning

confidence: 99%

Avaliação tridimensional da marcha: Cinética, cinemática e eletromiográfica em pacientes com mucopolissacaridose tipos IV e VI

Rego,

Oliveira,

Rolim Filho

2024

Rev Bras Ortop (Sao Paulo)

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Resumo Objetivo Avaliar e determinar, através de análise tridimensional (3D) instrumentada da marcha, o perfil cinético, cinemático e eletromiográfico de pacientes com mucopolissacaridose (MPS) IV e VI. Métodos Foi realizado um estudo transversal com 11 pacientes atendidos em um serviço de referência em doenças raras, avaliados em laboratório de análise do movimento. Foram coletados dados clínicos, do exame físico e dados cinéticos, cinemáticos e eletromiográficos através de sistema 3D de movimento, entre junho de 2020 e janeiro de 2021. Resultados Havia 5 pacientes (45,5%) do gênero feminino e 6 (54,5%) do masculino. Adicionalmente, 9 (81,8%) tinham MPS VI e 2 (18,2%) IV. A idade média foi de 14,6 anos. A velocidade média (m/s) foi de 0,68 (±0,21) e o comprimento da passada de 0,66 (±0,15). Os ângulos estáticos mais alterados foram a abdução-adução dos quadris, o arco de movimento dos joelhos e o ângulo de progressão do pé. Um padrão de marcha em flexão e adução dos quadris e flexão dos joelhos foi identificado na maioria dos casos. O Gait Profile Score (GPS) foi de 14,58 (±6,72) à direita e 11,71(±3,39) à esquerda. O Gait Deviation Index (GDI) foi de 73,23 (±14,50) à direita e de 80,45 (±17,05) à esquerda. A atividade muscular seguiu aproximadamente o modelo corrente. Conclusão Os pacientes apresentaram uma velocidade média e comprimento da passada diminuídos. Um padrão de marcha em flexão e adução dos quadris e flexão dos joelhos foi identificado na maioria dos casos. Tanto GPS quanto GDI mostraram desvio importante da normalidade.

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The use of the gait profile score and gait variable score in individuals with Duchenne Muscular Dystrophy

Abstract: The use of the gait profile score and gait variable score in individuals with Duchenne Muscular Dystropy.

Cited by 9 publications

References 21 publications

Longitudinal Alterations in Gait Features in Growing Children With Duchenne Muscular Dystrophy

Longitudinal Alterations in Gait Features in Growing Children With Duchenne Muscular Dystrophy

Gait profile score and gait variable scores in spina bifida

Avaliação tridimensional da marcha: Cinética, cinemática e eletromiográfica em pacientes com mucopolissacaridose tipos IV e VI

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