Literature DB >> 25420902

Do all sub acute stroke patients benefit from robot-assisted therapy? A retrospective study.

Christophe Duret1, Emilie Hutin2, Laurent Lehenaff1, Jean-Michel Gracies2.   

Abstract

PURPOSE: Upper limb robot-assisted rehabilitation is a highly intensive therapy, mainly recommended after stroke. Whether robotic therapy is suitable for subacute patients with severe impairments including cognitive disorders is unknown. This retrospective study explored factors impacting on motor performance achieved in a 16-session robotic training combined with standard rehabilitation.
METHODS: Seventeen subacute inpatients (age 53 ± 18; 49 ± 26 days post-stroke) were assessed at baseline using upper extremity motor impairments scales, Functional Independence Measure, aphasia and neglect scores. Number of movements and robotic assistance were compared between Session 2 (S2), 8 (8) and 16 (S16), Motricity Index between pre and post-treatment. Correlation analyses explored predictors of motor performance.
RESULTS: Overall, number of movements and Motricity Index increased significantly while robot-assistance decreased. The mean number of movements per session correlated positively with baseline motor capacities but not with age, aphasia and neglect. However, the increase in Motricity index correlated negatively with baseline Motricity index and the increase in the number of movements correlated negatively with the number of movements at S2.
CONCLUSION: High intensity robot-assisted training may be associated with motor improvement in subacute hemiparesis. More severely impaired patients may derive greater benefit from robot-assisted training; age, aphasia and neglect do not represent exclusion criteria.

Entities:  

Keywords:  Hemiparesis; robot-assisted training; subacute stroke; upper limb

Mesh:

Year:  2015        PMID: 25420902     DOI: 10.3233/RNN-140418

Source DB:  PubMed          Journal:  Restor Neurol Neurosci        ISSN: 0922-6028            Impact factor:   2.406


  6 in total

1.  Self-powered robots to reduce motor slacking during upper-extremity rehabilitation: a proof of concept study.

Authors:  Edward P Washabaugh; Emma Treadway; R Brent Gillespie; C David Remy; Chandramouli Krishnan
Journal:  Restor Neurol Neurosci       Date:  2018       Impact factor: 2.406

2.  Robotic gaming prototype for upper limb exercise: Effects of age and embodiment on user preferences and movement.

Authors:  Danny Eizicovits; Yael Edan; Iris Tabak; Shelly Levy-Tzedek
Journal:  Restor Neurol Neurosci       Date:  2018       Impact factor: 2.406

3.  Predictors of activities of daily living outcomes after upper limb robot-assisted therapy in subacute stroke patients.

Authors:  Marco Franceschini; Michela Goffredo; Sanaz Pournajaf; Stefano Paravati; Maurizio Agosti; Francesco De Pisi; Daniele Galafate; Federico Posteraro
Journal:  PLoS One       Date:  2018-02-21       Impact factor: 3.240

Review 4.  Robot-Assisted Therapy in Upper Extremity Hemiparesis: Overview of an Evidence-Based Approach.

Authors:  Christophe Duret; Anne-Gaëlle Grosmaire; Hermano Igo Krebs
Journal:  Front Neurol       Date:  2019-04-24       Impact factor: 4.003

5.  Retrospective Robot-Measured Upper Limb Kinematic Data From Stroke Patients Are Novel Biomarkers.

Authors:  Michela Goffredo; Sanaz Pournajaf; Stefania Proietti; Annalisa Gison; Federico Posteraro; Marco Franceschini
Journal:  Front Neurol       Date:  2021-12-21       Impact factor: 4.003

6.  Impact of Dose of Combined Conventional and Robotic Therapy on Upper Limb Motor Impairments and Costs in Subacute Stroke Patients: A Retrospective Study.

Authors:  Ophélie Pila; Typhaine Koeppel; Anne-Gaëlle Grosmaire; Christophe Duret
Journal:  Front Neurol       Date:  2022-02-09       Impact factor: 4.003

  6 in total

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