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Objective: To investigate the impact of ankle-foot orthoses (AFO) on subjects diagnosed with bilateral cerebral palsy (CP) using the gait index and temporal data parameters. Methods: Twenty-four subjects, 14 male and 10 female, with a mean age of 11 (5-17 years old), underwent a comprehensive gait analysis under both barefoot (BF) and braced walking conditions. All children had been wearing the orthoses for at least 2 months before the gait analysis. Results: The overall values for the left and right Gait Profile Scores (GPS) did not show statistically significant variations when comparing the same individuals with and without orthoses. Gait velocity increased by 19.5% (p < 0.001), while the cadence decreased by 4% with use of orthosis, although it was not statistically significant (p > 0.05). The stride and the step lengths on both the right and left sides, however, resulted in statistically significant increases, when wearing AFO. Conclusion: AFO, prescribed for assistance by professionals without using gait data, did not significantly affect the gait index (GPS), but improved temporal data. The determination of quantitative clinical parameters for the prescription of orthotics in patients with bilateral CP, as well as orthotics that meet the specific requirements are points to be addressed in the future to obtain more significant effects. Level of evidence III, Case control study.

Abstract-Transtibial amputees gait patterns are widely studied. Usually, kinematic and temporal-spatial parameters data are used to investigate their gait pattern. The Gait Profile Score (GPS) and the Movement analysis Profile (MAP) are new tolls that summarize kinematics data in one single number. The aim of this study was to use GPS, Movement analysis Profile (MAP) and temporal-spatial parameters to quantify gait deviations of a homogeneous group of transtibial amputees, using the same prosthetic components and that were rehabilitated in a specific center. Besides, it was observed the correlation between GPS scores and temporal-spatial parameters. Five unilateral traumatic transtibial amputees participated on this study. All the participants used KBM (Kondylen Bettung Münster) prosthetic fitting and solid ankle cushion heel (SACH) foot. Kinematic and temporal-spatial data were assessed through 3D gait analysis. All analyzed variables presented deviations compared with normal expected values. Prosthetic limb GPS score was larger than intact limb GPS score as well as step length with the prosthetic leg was longer than with the intact one. Time of single support with the intact limb was longer than that with the prosthetic limb. The largest gait variable scores (GVS) were in the hip flexion/extension for the prosthetic limb, knee flexion/extension for the intact limb, and hip rotation for both. The strongest correlation occurred between overall GPS and prosthetic step length, overall GPS and time of single support with the prosthetic limb, prosthetic limb GPS and prosthetic step length, and between prosthetic limb GPS and time of single support with the prosthetic limb. The GPS, MAP and temporal-spatial parameters were useful in quantifying gait deviation on transtibial amputees. GPS scores were increased and temporal-spatial parameters values were lower than that found in health subjects.

RESUMO – Racional: O perfil do paciente traumatizado pode dizer muito sobre o padrão da lesão e deve ser levado em conta a idade, o gênero e o comportamento individual. Objetivo: Avaliar os tipos de trauma musculoesquelético mais frequentes por gênero e faixa etária, identificando o tempo decorrido do acidente até a procura por atendimento. Método: Análise de prontuários dos pacientes atendidos em um hospital pediátrico de na faixa etária até 18 anos. Resultados: Dos 1822 pacientes que preencheram os critérios pré-estabelecidos, 1035 eram meninos e 837 meninas. Em relação à faixa etária e gênero masculino e feminino os resultados foram, respectivamente: abaixo de 2 anos, 23 (1,3%) e 29 (1,5%); entre 2 e 13 anos, 804 (43%) e 662 (35,4%); acima de 13 anos, 208 (11%) e 146 (7,8%). Apenas na faixa abaixo de 2 anos é que houve pequeno predomínio do gênero feminino. O mecanismo do trauma, não foi relatado em 45%, queda de mesmo nível em 15,2%, trauma indireto em 13,5%, trauma direto em 12,27% e queda de altura em 10,4% da amostra. Conclusão: Traumas ocorrem com maior prevalência no gênero masculino, na faixa etária escolar, sendo o mecanismo mais frequente a queda de mesmo nível, trauma indireto e trauma direto. A maioria dos pacientes procurou atendimento e foi atendida dentro de 24 horas do trauma, em todas as faixas etárias abordadas.

The objective of this study is to evaluate the compensation of the non-paretic side in the gait of post-stroke hemiparetic patients submitted to computerized gait analysis in the Centro Hospitalar de Reabilitação Ana Carolina Moura Xavier, Curitiba - PR, in a study carried out in 2015. Spatio-temporal data were evaluated: speed, stride and step length, swing time and support of both members. The sample consisted of twenty individuals with a mean time after stroke of 6.9 months. The results showed that the median speed was equivalent to 16.17% of the normal standard value, stride length to 31.22%, step length of the non-paretic limb to 31.69%. The swing time on the nonparetic side corresponded to 35% of the total cycle and the support time corresponded to 86%. There is a favoring of the paretic limb over the non-paretic one, as a compensation mechanism for weakness and impaired balance. Thus, the non-paretic limb spends more time in the support phase to allow a longer step length of the paretic limb while in swing. In contrast, the paretic limb is unable to support the body in the support phase for a long time, reducing the step length of the non-paretic limb. The significant reduction in gait speed indicates the high level of functional dependence in these patients. If there is an opportunity to act early in the rehabilitation of post-stroke patients, still in the acute phase, it is possible to quantify the improvement in the ability to walk.

0,83, p ≤ 0,05). Conclusão: O GDI apresenta correlação com classificações, sejam elas clínicas (i.e. FMS), por estudo do movimento (i.e. IS) e com questionário de avaliação funcional (i.e. FAQ).]]>