RObotic-Assisted Rehabilitation for balance and gait in Stroke patients (ROAR-S): study protocol for a preliminary randomized controlled trial

被引:19
作者
Giovannini, Silvia [1 ,2 ]
Iacovelli, Chiara [3 ]
Brau, Fabrizio [2 ,3 ]
Loreti, Claudia [3 ]
Fusco, Augusto [4 ]
Caliandro, Pietro [5 ]
Biscotti, Lorenzo [3 ,6 ]
Padua, Luca [1 ,4 ]
Bernabei, Roberto [1 ,3 ]
Castelli, Letizia [3 ]
机构
[1] Univ Cattolica Sacro Cuore, Dept Geriatr & Orthopaed, Largo Francesco Vito 8, I-00168 Rome, Italy
[2] Fdn Policlin Univ A Gemelli IRCCS, UOS Riabilitaz Postacuzie, I-00168 Rome, Italy
[3] Fdn Policlin Univ Gemelli IRCCS, Dept Aging Neurol Orthopaed & Head Neck Sci, I-00168 Rome, Italy
[4] Fdn Policlin Univ A Gemelli IRCCS, UOC Neuroriabilitaz Ad Alta Intensita, I-00168 Rome, Italy
[5] Fdn Policlin Univ A Gemelli IRCCS, UOC Neurol, I-00168 Rome, Italy
[6] Univ Cattolica Sacro Cuore, Geriatr Care Promot & Dev Ctr CEPSAG, Rome, Italy
关键词
Older adults; Elderly; Rehabilitation; Falls; Technology; MULTIPLE-SCLEROSIS; MOTOR; INTERFERENCE; RELIABILITY; EFFICACY; VALIDITY; FATIGUE; BATTERY; DISEASE; SCALE;
D O I
10.1186/s13063-022-06812-w
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Background Stroke, the incidence of which increases with age, has a negative impact on motor and cognitive performance, quality of life, and the independence of the person and his or her family, leading to a number of direct and indirect costs. Motor recovery is essential, especially in elderly patients, to enable the patient to be independent in activities of daily living and to prevent falls. Several studies have shown how robotic training associated with physical therapy influenced functional and motor outcomes of walking after stroke by improving endurance and walking strategies. Considering data from previous studies and patients' needs in gait and balance control, we hypothesized that robot-assisted balance treatment associated with physical therapy may be more effective than usual therapy performed by a physical therapist in terms of improving static, dynamic balance and gait, on fatigue and cognitive performance. Methods This is an interventional, single-blinded, preliminary randomized control trial. Twenty-four patients of both sexes will be recruited, evaluated, and treated at the UOC Rehabilitation and Physical Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS in Rome from January to December 2022. Patients will be randomized into two groups: the experimental group will perform specific rehabilitation for balance disorder using the Hunova (R) robotic platform (Movendo Technology srl, Genoa, IT) for 3 times a week, for 4 weeks (12 total sessions), and for 45 min of treatment, in addition to conventional treatment, while the conventional group (GC) will perform only conventional treatment as per daily routine. All patients will undergo clinical and instrumental evaluation at the beginning and end of the 4 weeks of treatment. Conclusions The study aims to evaluate the improvement in balance, fatigue, quality of life, and motor and cognitive performance after combined conventional and robotic balance treatment with Hunova (R) (Movendo Technology srl, Genoa, IT) compared with conventional therapy alone. Robotic assessment to identify the most appropriate and individualized rehabilitation treatment may allow reducing disability and improving quality of life in the frail population. This would reduce direct and indirect social costs of care and treatment for the National Health Service and caregivers.
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页数:10
相关论文
共 45 条
[1]   Variability of trail making test, symbol digit test and line trait test in normal people. A normative study taking into account age-dependent decline and sociobiological variables [J].
Amodio, P ;
Wenin, H ;
Del Piccolo, F ;
Mapelli, D ;
Montagnese, S ;
Pellegrini, A ;
Musto, C ;
Gatta, A ;
Umilta, C .
AGING CLINICAL AND EXPERIMENTAL RESEARCH, 2002, 14 (02) :117-131
[2]   Efficacy of Robot-Assisted Gait Training Combined with Robotic Balance Training in Subacute Stroke Patients: A Randomized Clinical Trial [J].
Aprile, Irene ;
Conte, Carmela ;
Cruciani, Arianna ;
Pecchioli, Cristiano ;
Castelli, Letizia ;
Insalaco, Sabina ;
Germanotta, Marco ;
Iacovelli, Chiara .
JOURNAL OF CLINICAL MEDICINE, 2022, 11 (17)
[3]   Robotic Rehabilitation: An Opportunity to Improve Cognitive Functions in Subjects With Stroke. An Explorative Study [J].
Aprile, Irene ;
Guardati, Giulia ;
Cipollini, Valeria ;
Papadopoulou, Dionysia ;
Mastrorosa, Alessia ;
Castelli, Letizia ;
Monteleone, Serena ;
Redolfi, Alessandra ;
Galeri, Silvia ;
Germanotta, Marco .
FRONTIERS IN NEUROLOGY, 2020, 11
[4]   Efficacy of end-effector Robot-Assisted Gait Training in subacute stroke patients: Clinical and gait outcomes from a pilot bi-centre study [J].
Aprile, Irene ;
Iacovelli, Chiara ;
Goffredo, Michela ;
Cruciani, Arianna ;
Galli, Manuela ;
Simbolotti, Chiara ;
Pecchioli, Cristiano ;
Padua, Luca ;
Galafate, Daniele ;
Pournajaf, Sanaz ;
Franceschini, Marco .
NEUROREHABILITATION, 2019, 45 (02) :201-212
[5]   Efficacy of Robotic-Assisted Gait Training in chronic stroke patients: Preliminary results of an Italian bi-centre study [J].
Aprile, Irene ;
Iacovelli, Chiara ;
Padua, Luca ;
Galafate, Daniele ;
Criscuolo, Simone ;
Gabbani, Debora ;
Cruciani, Arianna ;
Germanotta, Marco ;
Di Sipio, Enrica ;
De Pisi, Francesco ;
Franceschini, Marco .
NEUROREHABILITATION, 2017, 41 (04) :775-782
[6]  
Balestroni Gianluigi, 2012, Monaldi Arch Chest Dis, V78, P155
[7]  
BERG K, 1995, SCAND J REHABIL MED, V27, P27
[8]  
Biscetti F, 2016, EUR REV MED PHARMACO, V20, P4574
[9]   Premorbid functional reserve modulates the effect of rehabilitation in multiple sclerosis [J].
Castelli, Letizia ;
De Giglio, Laura ;
Haggiag, Shalom ;
Traini, Arianna ;
De Luca, Francesca ;
Ruggieri, Serena ;
Prosperini, Luca .
NEUROLOGICAL SCIENCES, 2020, 41 (05) :1251-1257
[10]   The dual task-cost of standing balance affects quality of life in mildly disabled MS people [J].
Castelli, Letizia ;
De Luca, Francesca ;
Marchetti, Maria Rita ;
Sellitto, Giovanni ;
Fanelli, Fulvia ;
Prosperini, Luca .
NEUROLOGICAL SCIENCES, 2016, 37 (05) :673-679