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1.
BMC Neurol ; 23(1): 296, 2023 Aug 09.
Artigo em Inglês | MEDLINE | ID: mdl-37558991

RESUMO

OBJECTIVE: To observe the effect of overground gait training with 'Mobility Assisted Robotic System-MARS' on gait parameters in patients with stroke. PATIENTS & METHODS: This prospective pre-post study was conducted in a tertiary teaching research hospital with 29 adult stroke patients, with age up to 65 years. Patients fulfilling the inclusion criteria were divided in 2 groups based on the duration of stroke (≤ 6 months-sub-acute & > 6 months-chronic stroke) and provided overground gait training with MARS robot for 12 sessions (1 h/session) over a period of 2-3 weeks. Primary outcome measures were; 10-Meter walk test-10MWT, 6-min' walk test-6MWT and Timed up & Go-TUG tests. Secondary outcome measures were Functional Ambulation Category-FAC, Modified Rankin Scale-MRS and Scandinavian Stroke Scale-SSS. RESULTS: No adverse events were reported. Twenty-five patients who were able to perform 10-MWT at the beginning of study were included in the final analysis with 12 in sub-acute and 13 in chronic stroke group. All primary and secondary outcome measures showed significant improvement in gait parameters at the end of the training (p < 0.05) barring 10-Meter walk test in sub-acute stroke group (p = 0.255). Chronic stroke group showed significant minimum clinically important difference-MCID difference in endurance (6MWT) at the end of the training and both groups showed better 'minimal detectable change-MDC' in balance (TUG) at the end of the training. CONCLUSIONS: Patients in both the groups showed significant improvement in walking speed, endurance, balance and independence at the end of the training with overground gait training with MARS Robot. CLINICAL TRIAL REGISTRY: National Clinical Trial Registry of India (CTRI/2021/08/035695,16/08/2021).


Assuntos
Transtornos Neurológicos da Marcha , Procedimentos Cirúrgicos Robóticos , Reabilitação do Acidente Vascular Cerebral , Acidente Vascular Cerebral , Adulto , Humanos , Terapia por Exercício , Marcha , Estudos Prospectivos , Acidente Vascular Cerebral/complicações , Resultado do Tratamento , Caminhada
2.
Ann Indian Acad Neurol ; 26(Suppl 1): S26-S31, 2023 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-37092019

RESUMO

Objective: This pilot study aimed to assess the safety and feasibility of robotic gait training and its' effects on gait parameters in individuals with incomplete motor spinal cord injury-SCI (AIS C and AIS D). Methods: The study was conducted in a tertiary research center with indigenously developed Robotic Exoskeleton Assisted Rehabilitation Systems (REARS). Primary outcome measures used were the ten-meter walk test (10MWT), two-minute walk test (2MWT), six-minute walk test (6MWT), the timed up and go test (TUG), the walking index for spinal cord injury II (WISCI II), and the spinal cord independence measure version III (SCIM III) at baseline, 12 sessions, and after 24 sessions (endpoint) of training. At baseline, individuals who could not perform 10MWT, TUG, and 6MWT were grouped in G1 for analysis. Participants in G2 were able to perform all the tests at baseline. Results: The median (interquartile range [IQR]) age and duration of illness was 41 (24) years and 167 (147) days, respectively. Five out of seven participants had non-traumatic etiology and five were males. After completing training, participants in G1 were able to complete the 10MWT, 6MWT, and TUG, and the mean (SD) scores were 0.2 m/s (0.2), 66.3 m (61.2) and 113.3 s (117.4), respectively. Participants in G2 could perform the TUG test 13.5 s faster at the end of the study (11.9 s vs 25.4 s). The minimum clinically important difference (MCID) for TUG was 10.8 s. In G2, the pre-post training change in mean score of 10MWT and 6MWT was 0.11 m/s and 42 m, respectively; these values approached the MCID for these measures. None of the participants had any injury during training. Conclusions: Robotic gait training with REARS is safe and feasible. Such training may lead to an improvement in balance and walking capacity.

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