Quantifying gait impairment in individuals affected by Charcot-Marie-Tooth disease: the usefulness of gait profile score and gait variable score

Coghe, Giancarlo; Mamusa, E; Pisano, Cinzia; Corona, Federica; Pilloni, Giuseppina; Porta, Micaela; Marrosu, Giovanni; Vannelli, Alessandro; Frau, Jessica; Lorefice, Lorena; Fenu, Giuseppe; Marrosu, Maria Giovanna; Cocco, Eleonora

doi:10.1080/09638288.2018.1506946

Cited by 9 publications

(11 citation statements)

References 21 publications

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“…The effect of aging on GPS has not yet been investigated. In a recent work, it has been reported a GPS of 5.93°± 1.16°in a sample of healthy people aged 48.9 ± 15.0 years (Coghe, et al, 2020). Despite an about 18-year age difference, this GPS is close to the one we observed in our healthy group (5.13 ± 0.77).…”

Section: Leop Group (N = 12)supporting

confidence: 84%

Is the gait profile score a good marker of gait dysfunction in individuals with late effects of poliomyelitis?

Supiot

Genêt

Cattagni

et al. 2020

Mov Sport Sci/Sci Mot

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Late effects of poliomyelitis (LEoP) are characterized by new gait abnormalities that occur many years after the initial poliomyelitis illness. Currently, there is no consensus on the most appropriate evaluation to detect gait disorders following LEoP. This study aimed to assess and compare the effectivenes of the gait profile score with that of the symmetry index (SI) to charaterize gait abnormalities resulting from the LEOP. The SI for stance, swing, double-support duration and the step length, and gait profile score were computed from gait analysis of 12 poliomyelitis subjects and 12 healthy participants. Receiver operating characteristic analysis was used to measure the sensitivity and specificity of the SI and the gait profile score to discriminate patients with the LEoP and healthy participants. The area under the receiver operating characteristic curve was calculated for both gait the profile score and SI. With AUC values all above 0.83 (good discrimination), SI and GPS significantly discriminated the participants with the LEoP from the healthy participants (all p-values < 0.001). The results of this study show that both the gait profile score and SI may be used with a similar sensitivity by clinicians to identify potential gait abnormalities in patients with the LEoP.

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Section: Leop Group (N = 12)supporting

confidence: 84%

Is the gait profile score a good marker of gait dysfunction in individuals with late effects of poliomyelitis?

Supiot

Genêt

Cattagni

et al. 2020

Mov Sport Sci/Sci Mot

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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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“…These methods are helpful in the differential diagnosis of an impaired limb and in the evaluation of rehabilitative measures such as heel pads, assistive orthosis and vibration therapies. A reduced ankle-foot motion simulated here by wearing an AFO also mimics ankle-foot impairments such as Charcot-Marie-Tooth (CMT), foot drop and spastic gait [52] and thus gives insight for stability evaluation in such patients. Further analysis of modelled limb dynamics applying Nyquist criteria provides critical information about limb stability.…”

Section: Discussionmentioning

confidence: 99%

A model identification approach to quantify impact of whole-body vertical vibrations on limb compliant dynamics and walking stability

Mahmood

Martinez-Hernandez

Dehghani-Sanij

2020

Medical Engineering & Physics

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Quantifying gait impairment in individuals affected by Charcot-Marie-Tooth disease: the usefulness of gait profile score and gait variable score

Cited by 9 publications

References 21 publications

Is the gait profile score a good marker of gait dysfunction in individuals with late effects of poliomyelitis?

Is the gait profile score a good marker of gait dysfunction in individuals with late effects of poliomyelitis?

Gait profile score and gait variable scores in spina bifida

A model identification approach to quantify impact of whole-body vertical vibrations on limb compliant dynamics and walking stability

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