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Quo Vadis, Amadeo Hand Robot? A Randomized Study with a Hand Recovery Predictive Model in Subacute Stroke

Background. Early identification of hand-prognosis-factors at patient’s admission could help to select optimal synergistic rehabilitation programs based on conventional (COHT) or robot-assisted (RAT) therapies. Methods. In this bi-phase cross-over prospective study, 58 stroke patients were enrolled...

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Autores principales: Serrano-López Terradas, Pedro Amalio, Criado Ferrer, Teresa, Jakob, Iris, Calvo-Arenillas, Jose Ignacio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820043/
https://www.ncbi.nlm.nih.gov/pubmed/36613027
http://dx.doi.org/10.3390/ijerph20010690
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author Serrano-López Terradas, Pedro Amalio
Criado Ferrer, Teresa
Jakob, Iris
Calvo-Arenillas, Jose Ignacio
author_facet Serrano-López Terradas, Pedro Amalio
Criado Ferrer, Teresa
Jakob, Iris
Calvo-Arenillas, Jose Ignacio
author_sort Serrano-López Terradas, Pedro Amalio
collection PubMed
description Background. Early identification of hand-prognosis-factors at patient’s admission could help to select optimal synergistic rehabilitation programs based on conventional (COHT) or robot-assisted (RAT) therapies. Methods. In this bi-phase cross-over prospective study, 58 stroke patients were enrolled in two randomized groups. Both groups received same treatments A + B (A = 36 COHT sessions for 10 weeks; B = 36 RAT sessions for 10 weeks; 45 min/session; 3 to 5 times per week). Outcome repeated measures by blinded assessors included FMUL, BBT, NHPT, Amadeo Robot (AHR) and AMPS. Statistical comparisons by Pearson’s rank correlations and one-way analyses of variance (ANOVA) with Bonferroni posthoc tests, with size effects and statistic power, were reported. Multiple backward linear regression models were used to predict the variability of sensorimotor and functional outcomes.Results. Isolated COHT or RAT treatments improved hand function at 3 months. While “higher hand paresis at admission” affected to sensorimotor and functional outcomes, “laterality of injury” did not seem to affect the recovery of the hand. Kinetic-kinematic parameters of robot allowed creating a predictive model of hand recovery at 3 and 6 months from 1st session. Conclusions. Hand impairment is an important factor in define sensorimotor and functional outcomes, but not lesion laterality, to predict hand recovery.
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spelling pubmed-98200432023-01-07 Quo Vadis, Amadeo Hand Robot? A Randomized Study with a Hand Recovery Predictive Model in Subacute Stroke Serrano-López Terradas, Pedro Amalio Criado Ferrer, Teresa Jakob, Iris Calvo-Arenillas, Jose Ignacio Int J Environ Res Public Health Article Background. Early identification of hand-prognosis-factors at patient’s admission could help to select optimal synergistic rehabilitation programs based on conventional (COHT) or robot-assisted (RAT) therapies. Methods. In this bi-phase cross-over prospective study, 58 stroke patients were enrolled in two randomized groups. Both groups received same treatments A + B (A = 36 COHT sessions for 10 weeks; B = 36 RAT sessions for 10 weeks; 45 min/session; 3 to 5 times per week). Outcome repeated measures by blinded assessors included FMUL, BBT, NHPT, Amadeo Robot (AHR) and AMPS. Statistical comparisons by Pearson’s rank correlations and one-way analyses of variance (ANOVA) with Bonferroni posthoc tests, with size effects and statistic power, were reported. Multiple backward linear regression models were used to predict the variability of sensorimotor and functional outcomes.Results. Isolated COHT or RAT treatments improved hand function at 3 months. While “higher hand paresis at admission” affected to sensorimotor and functional outcomes, “laterality of injury” did not seem to affect the recovery of the hand. Kinetic-kinematic parameters of robot allowed creating a predictive model of hand recovery at 3 and 6 months from 1st session. Conclusions. Hand impairment is an important factor in define sensorimotor and functional outcomes, but not lesion laterality, to predict hand recovery. MDPI 2022-12-30 /pmc/articles/PMC9820043/ /pubmed/36613027 http://dx.doi.org/10.3390/ijerph20010690 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Serrano-López Terradas, Pedro Amalio
Criado Ferrer, Teresa
Jakob, Iris
Calvo-Arenillas, Jose Ignacio
Quo Vadis, Amadeo Hand Robot? A Randomized Study with a Hand Recovery Predictive Model in Subacute Stroke
title Quo Vadis, Amadeo Hand Robot? A Randomized Study with a Hand Recovery Predictive Model in Subacute Stroke
title_full Quo Vadis, Amadeo Hand Robot? A Randomized Study with a Hand Recovery Predictive Model in Subacute Stroke
title_fullStr Quo Vadis, Amadeo Hand Robot? A Randomized Study with a Hand Recovery Predictive Model in Subacute Stroke
title_full_unstemmed Quo Vadis, Amadeo Hand Robot? A Randomized Study with a Hand Recovery Predictive Model in Subacute Stroke
title_short Quo Vadis, Amadeo Hand Robot? A Randomized Study with a Hand Recovery Predictive Model in Subacute Stroke
title_sort quo vadis, amadeo hand robot? a randomized study with a hand recovery predictive model in subacute stroke
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820043/
https://www.ncbi.nlm.nih.gov/pubmed/36613027
http://dx.doi.org/10.3390/ijerph20010690
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