Robot-Assisted Training for Upper Limb in Stroke (ROBOTAS): An Observational, Multicenter Study to Identify Determinants of Efficacy

• Published in: Journal of clinical medicine Vol. 10; no. 22; p. 5245
• Main Authors: Calabrò, Rocco Salvatore, Morone, Giovanni, Naro, Antonino, Gandolfi, Marialuisa, Liotti, Vitalma, D’aurizio, Carlo, Straudi, Sofia, Focacci, Antonella, Pournajaf, Sanaz, Aprile, Irene, Filoni, Serena, Zanetti, Claudia, Leo, Maria Rosaria, Tedesco, Lucia, Spina, Vincenzo, Chisari, Carmelo, Taveggia, Giovanni, Mazzoleni, Stefano, Smania, Nicola, Paolucci, Stefano, Franceschini, Marco, Bonaiuti, Donatella
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 11.11.2021; MDPI
• Subjects: Clinical medicine; Rehabilitation; Robotics; Robots; Spasticity; Stroke; Variance analysis; Italy
• ISSN: 2077-0383; 2077-0383
• DOI: 10.3390/jcm10225245

Background: The loss of arm function is a common and disabling outcome after stroke. Robot-assisted upper limb (UL) training may improve outcomes. The aim of this study was to explore the effect of robot-assisted training using end-effector and exoskeleton robots on UL function following a stroke in real-life clinical practice. Methods: A total of 105 patients affected by a first-ever supratentorial stroke were enrolled in 18 neurorehabilitation centers and treated with electromechanically assisted arm training as an add-on to conventional therapy. Both interventions provided either an exoskeleton or an end-effector device (as per clinical practice) and consisted of 20 sessions (3/5 times per week; 6–8 weeks). Patients were assessed by validated UL scales at baseline (T0), post-treatment (T1), and at three-month follow-up (T2). The primary outcome was the Fugl-Meyer Assessment for the upper extremity (FMA-UE). Results: FMA-UE improved at T1 by 6 points on average in the end-effector group and 11 points on average in the exoskeleton group (p < 0.0001). Exoskeletons were more effective in the subacute phase, whereas the end-effectors were more effective in the chronic phase (p < 0.0001). Conclusions: robot-assisted training might help improve UL function in stroke patients as an add-on treatment in both subacute and chronic stages. Pragmatic and highmethodological studies are needed to confirm the showed effectiveness of the exoskeleton and end-effector devices.