BACKGROUND: There is consistent evidence that robotic rehabilitation is at least as effective as conventional physiotherapy for upper extremity (UE) recovery after stroke, suggesting to focus research on which subgroups of patients may better respond to either intervention. In this study, we evaluated which baseline variables are associated with the response after the two approaches. METHODS: This is a secondary analysis of a randomized-controlled trial comparing robotic and conventional treatment for the UE. After the assigned intervention, changes of the Fugl-Meyer Assessment UE score by ≥ 5 points classified patients as responders to treatment. Variables associated with the response were identified in a univariate analysis. Then, variables independently associated with recovery were investigated, in the whole group, and the two groups separately. RESULTS:A sample of 190 patients was evaluated after the treatment; 121 were responders. Age, baseline impairment, and neglect were significantly associated with worse response to the treatment. Age was the only independently associated variable (OR 0.967, p = 0.023). Considering separately the two interventions, age remained negatively associated with recovery (OR 0.948, p = 0.013) in the conventional group, while none of the variables previously identified were significantly associated with the response to treatment in the robotic group. CONCLUSIONS: We found that, in our sample, age is significantly associated with the outcome after conventional but not robotic UE rehabilitation. Possible explanations may include an enhanced positive attitude of the older patients towards technological training and reduced age-associated fatigue provided by robotic-assisted exercise. The possibly higher challenge proposed by robotic training, unbiased by the negative stereotypes concerning very old patients' expectations and chances to recover, may also explain our findings. TRIAL REGISTRATION NUMBER: NCT02879279.
RCT Entities:
BACKGROUND: There is consistent evidence that robotic rehabilitation is at least as effective as conventional physiotherapy for upper extremity (UE) recovery after stroke, suggesting to focus research on which subgroups of patients may better respond to either intervention. In this study, we evaluated which baseline variables are associated with the response after the two approaches. METHODS: This is a secondary analysis of a randomized-controlled trial comparing robotic and conventional treatment for the UE. After the assigned intervention, changes of the Fugl-Meyer Assessment UE score by ≥ 5 points classified patients as responders to treatment. Variables associated with the response were identified in a univariate analysis. Then, variables independently associated with recovery were investigated, in the whole group, and the two groups separately. RESULTS: A sample of 190 patients was evaluated after the treatment; 121 were responders. Age, baseline impairment, and neglect were significantly associated with worse response to the treatment. Age was the only independently associated variable (OR 0.967, p = 0.023). Considering separately the two interventions, age remained negatively associated with recovery (OR 0.948, p = 0.013) in the conventional group, while none of the variables previously identified were significantly associated with the response to treatment in the robotic group. CONCLUSIONS: We found that, in our sample, age is significantly associated with the outcome after conventional but not robotic UE rehabilitation. Possible explanations may include an enhanced positive attitude of the older patients towards technological training and reduced age-associated fatigue provided by robotic-assisted exercise. The possibly higher challenge proposed by robotic training, unbiased by the negative stereotypes concerning very old patients' expectations and chances to recover, may also explain our findings. TRIAL REGISTRATION NUMBER: NCT02879279.
Authors: Roberto Colombo; Fabrizio Pisano; Silvestro Micera; Alessandra Mazzone; Carmen Delconte; M Chiara Carrozza; Paolo Dario; Giuseppe Minuco Journal: IEEE Trans Neural Syst Rehabil Eng Date: 2005-09 Impact factor: 3.802
Authors: Alex Pollock; Sybil E Farmer; Marian C Brady; Peter Langhorne; Gillian E Mead; Jan Mehrholz; Frederike van Wijck Journal: Cochrane Database Syst Rev Date: 2014-11-12
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Authors: Helen Rodgers; Helen Bosomworth; Hermano I Krebs; Frederike van Wijck; Denise Howel; Nina Wilson; Lydia Aird; Natasha Alvarado; Sreeman Andole; David L Cohen; Jesse Dawson; Cristina Fernandez-Garcia; Tracy Finch; Gary A Ford; Richard Francis; Steven Hogg; Niall Hughes; Christopher I Price; Laura Ternent; Duncan L Turner; Luke Vale; Scott Wilkes; Lisa Shaw Journal: Lancet Date: 2019-05-22 Impact factor: 79.321
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