Diagnostic nerve block in prediction of outcome of botulinum toxin treatment for spastic equinovarus foot after stroke: A retrospective observational study.

OBJECTIVE: To evaluate the role of diagnostic nerve block in predicting the outcome of subsequent botulinum toxin type A treatment for spastic equinovarus foot due to chronic stroke. DESIGN: Retrospective observational study. PATIENTS: Fifty chronic stroke patients with spastic equinovarus foot. METHODS: Each patient was given diagnostic tibial nerve block (lidocaine 2% perineural injection) assessment followed by botulinum toxin type A inoculation into the same muscles as had been targeted by the nerve block. All patients were evaluated before diagnostic nerve block, after the nerve block, and 4 weeks after botulinum toxin injection. Outcomes were ankle dorsiflexion passive range of motion of the affected side, and calf muscle spasticity, measured with the modified Ashworth scale and the Tardieu Scale. RESULTS: Significant improvements were measured after diagnostic nerve block and botulinum toxin injection compared with the baseline condition. Diagnostic nerve block led to significantly greater improvements in all outcomes than botulinum toxin injection. CONCLUSION: This study confirmed diagnostic nerve block as a valuable screening tool in deciding whether to treat spastic equinovarus with botulinum toxin. However, the results support the evidence that diagnostic nerve block results in a greater reduction in muscle overactivity than does botulinum toxin type A in patients with spastic equinovarus due to stroke.

Effects of robot-assisted gait training combined with virtual reality on motor and cognitive functions in patients with multiple sclerosis: A pilot, single-blind, randomized controlled trial.

BACKGROUND: Studies on robot-assisted gait training rehabilitation in multiple sclerosis have reported positive effects on mobility and quality of life. However, their effects on cognitive functions are difficult to determine because not all trials have included cognition assessments. Virtual reality-based training provides enhanced opportunity for stimulating cognitive abilities by repetitive practice, feedback information, and motivation for endurance practice. OBJECTIVE: To compare the effects of innovative robot-assisted gait training combined with virtual reality versus standard robot-assisted gait training on information processing speed, sustained attention, working memory, and walking endurance in patients with multiple sclerosis. METHODS: Seventeen outpatients were randomly assigned to receive robot-assisted gait training either with or without virtual reality. The robot assisted gait training + virtual reality group underwent end-effector system training engendered by virtual reality. The standard training group underwent end-effector system training. A blinded rater evaluated patients before and after treatment and at one month follow-up. The outcome measures were the Paced Auditory Serial Addition Test, Phonemic Fluency Test, Novel Task, Digit Symbol, Multiple Sclerosis Quality of Life-54, 2-Minutes Walk Test, 10-Meter Walking Test, Berg Balance Scale, gait analysis, and stabilometric assessment. RESULTS: Between-group comparisons showed a significant change on the 2-Minutes Walk Test (p = 0.023) after treatment in the robot-assisted gait training + virtual reality group. Significant improvement were obtained also in executive functions (p = 0.012). Both gains were maintained at the 1-month follow-up evaluation (p = 0.012, p = 0.012) in the robot-assisted gait training + virtual reality group. Both group improved quality of life after treatment (Multiple Sclerosis Quality of Life-54: Mental Health p = 0.018, Physical Health p = 0.017). CONCLUSIONS: Both training lead to positive influenced on executive functions. However larger positive effects on gait ability were noted after robot-assisted gait training engendered by virtual reality with multiple sclerosis. Robot-assisted gait training provides a therapeutic alternative and motivational of traditional motor rehabilitation.

Robot-Assisted Stair Climbing Training on Postural Control and Sensory Integration Processes in Chronic Post-stroke Patients: A Randomized Controlled Clinical Trial.

BACKGROUND: Postural control disturbances are one of the important causes of disability in stroke patients affecting balance and mobility. The impairment of sensory input integration from visual, somatosensory and vestibular systems contributes to postural control disorders in post-stroke patients. Robot-assisted gait training may be considered a valuable tool in improving gait and postural control abnormalities. OBJECTIVE: The primary aim of the study was to compare the effects of robot-assisted stair climbing training against sensory integration balance training on static and dynamic balance in chronic stroke patients. The secondary aims were to compare the training effects on sensory integration processes and mobility. METHODS: This single-blind, randomized, controlled trial involved 32 chronic stroke outpatients with postural instability. The experimental group (EG, n = 16) received robot-assisted stair climbing training. The control group (n = 16) received sensory integration balance training. Training protocols lasted for 5 weeks (50 min/session, two sessions/week). Before, after, and at 1-month follow-up, a blinded rater evaluated patients using a comprehensive test battery. Primary outcome: Berg Balance Scale (BBS). Secondary outcomes:10-meter walking test, 6-min walking test, Dynamic gait index (DGI), stair climbing test (SCT) up and down, the Time Up and Go, and length of sway and sway area of the Center of Pressure (CoP) assessed using the stabilometric assessment. RESULTS: There was a non-significant main effect of group on primary and secondary outcomes. A significant Time × Group interaction was measured on 6-min walking test (p = 0.013) and on posturographic outcomes (p = 0.005). Post hoc within-group analysis showed only in the EG a significant reduction of sway area and the CoP length on compliant surface in the eyes-closed and dome conditions. CONCLUSION: Postural control disorders in patients with chronic stroke may be ameliorated by robot-assisted stair climbing training and sensory integration balance training. The robot-assisted stair climbing training contributed to improving sensorimotor integration processes on compliant surfaces. Clinical trial registration (NCT03566901).