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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03688165
Other study ID # RP 19/17
Secondary ID
Status Completed
Phase
First received
Last updated
Start date June 20, 2018
Est. completion date July 30, 2022

Study information

Verified date June 2023
Source IRCCS San Raffaele Roma
Contact n/a
Is FDA regulated No
Health authority
Study type Observational [Patient Registry]

Clinical Trial Summary

This multicenter non-randomized controlled trial aims to investigate the effectiveness (an increase of the walking speed in the 10 Meter Walk Test - 10MWT) of the robotic treatment with exoskeleton or end-effector system compared to the conventional rehabilitative treatment for the gait recovery after stroke, and to compare the possible different efficacy of end-effector and exoskeleton systems in the various post-stroke disability frameworks. All the eligible subjects admitted to rehabilitation centers, both in the subacute phase will be recorded. The experimental group will follow a set of robotic gait training on stationary robotic systems which do not provide overground gait training (Lokomat Pro - Hocoma AG, Volketswil, Switzerland; G-EO System - Reha technologies, Italy). While, the control group will follow traditional gait training composed of all those exercises which promote the recovery of walking ability (please, see the details of the interventions).


Description:

This multicenter non-randomized controlled trial aims: - to investigate the efficacy of a treadmill-based robotic treatment (both end-effector and exoskeleton) compared to the conventional rehabilitative treatment on gait recovery in stroke survivors; - to verify different effects of the end-effector or exoskeleton system on stroke subjects with different disabilities. All the eligible subjects (please, see the inclusion and exclusion criteria), admitted to the study participant centers for rehabilitation treatment, will be recorded at any stage of the rehabilitation program (subacute or chronic phase). The patient's recruitment will run following the authorization of the respective Ethics Committees for 12 months. Both experimental or control group will be undergone to 20 sessions of treatments, from 3 to 5 times per week, each lasting 60 minutes ( for a total of 400 minutes of treatment) All robotic systems used in this study for the experimental group (Lokomat Pro - Hocoma AG, Volketswil, Switzerland; G-EO System - Rehatechnologies, Italy) are treadmill-based and do not provide the over-ground gait training. They are characterized by the possibility of a programmable load suspension, as well as speed, stride length. The patient's activity with the related data is always displayed and stored with a computerized control system. The control group will follow a traditional gait rehabilitation for the same duration as the experimental group. The clinical assessments and data analysis will be carried out blindly.


Recruitment information / eligibility

Status Completed
Enrollment 87
Est. completion date July 30, 2022
Est. primary completion date June 30, 2022
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 85 Years
Eligibility Inclusion Criteria: - age = 85 years; - first ever event of pyramidal hemisyndrome (any functional level and etiology); - possibility to understand and execute simple instructions, for performing correctly the robot exercise; - for chronic patients: Functional Ambulation Category (FAC)> 1. Exclusion Criteria: - bilateral impairment; - Walking Handicap Scale (WHS) <5 before the acute event; - cognitive or behavioral deficit as to compromise the comprehension of the robotic training; - neurolytic treatment with botulinum toxin in the previous 3 months and/or during the study (including follow up); - use of other technologies (robots, FES, TDCS ...) during the study; - impossibility or non-availability to provide the informed consent; - cardiorespiratory gravity-morbidity

Study Design


Related Conditions & MeSH terms


Intervention

Device:
Treadmill-based Robotic Gait Training
All the stroke survivors admitted to the participating centers and eligible for the study will follow a gait training protocol (treadmill-based or overground). The data will be registered at baseline (T0), end of treatment (T1) and at three months follow up (T2). All robotic systems used for the study (Lokomat Pro - Hocoma AG, Volketswil, Switzerland); G-EO System - Reha technologies, Italy) are treadmill-based and do not provide the over-ground gait training. They are characterized by the possibility of a programmable weight support, as well as speed and stride length. The data relating to the patients' training is always displayed and stored with a computerized control system.

Locations

Country Name City State
Italy Irccs Centro Neurolesi Bonino Pulejo Messina
Italy U.O.C. Medicina Fisica e Riabilitazione, osp.S.Gerardo Monza Lombardia
Italy Irccs Fondazione Santa Lucia Roma
Italy IRCCS San Raffaele Pisana Roma

Sponsors (18)

Lead Sponsor Collaborator
IRCCS San Raffaele Roma APSS Trento, Azienda Ospedaliera San Gerardo di Monza, Azienda Ospedaliero, Universitaria Pisana, Azienda Sanitaria Locale n.2 Savonese, Azienda Sanitaria n. 4 Chiavarese, Azienda Socio Sanitaria Territoriale di Mantova, Centro Ricerche Cliniche di Verona, Fondazione Centri di Riabilitazione Padre Pio Onlus, Fondazione Don Carlo Gnocchi Onlus, Habilita, Ospedale di Sarnico, I.R.C.C.S. Fondazione Santa Lucia, Istituto Piero Redaelli, Milano, Ospedale Santo Stefano, Privatklinik Villa Melitta, S. Anna Hospital, Unità di Neuroriabilitazione, HABILITA, University Hospital of Ferrara

Country where clinical trial is conducted

Italy, 

References & Publications (47)

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Hesse S, Schattat N, Mehrholz J, Werner C. Evidence of end-effector based gait machines in gait rehabilitation after CNS lesion. NeuroRehabilitation. 2013;33(1):77-84. doi: 10.3233/NRE-130930. — View Citation

Hesse S, Uhlenbrock D, Werner C, Bardeleben A. A mechanized gait trainer for restoring gait in nonambulatory subjects. Arch Phys Med Rehabil. 2000 Sep;81(9):1158-61. doi: 10.1053/apmr.2000.6280. — View Citation

Hesse S, Waldner A, Tomelleri C. Innovative gait robot for the repetitive practice of floor walking and stair climbing up and down in stroke patients. J Neuroeng Rehabil. 2010 Jun 28;7:30. doi: 10.1186/1743-0003-7-30. — View Citation

Hidler JM, Wall AE. Alterations in muscle activation patterns during robotic-assisted walking. Clin Biomech (Bristol, Avon). 2005 Feb;20(2):184-93. doi: 10.1016/j.clinbiomech.2004.09.016. — View Citation

Hornby TG, Campbell DD, Kahn JH, Demott T, Moore JL, Roth HR. Enhanced gait-related improvements after therapist- versus robotic-assisted locomotor training in subjects with chronic stroke: a randomized controlled study. Stroke. 2008 Jun;39(6):1786-92. doi: 10.1161/STROKEAHA.107.504779. Epub 2008 May 8. Erratum In: Stroke.2008 Aug;39(8): e143. — View Citation

Kelley CP, Childress J, Boake C, Noser EA. Over-ground and robotic-assisted locomotor training in adults with chronic stroke: a blinded randomized clinical trial. Disabil Rehabil Assist Technol. 2013 Mar;8(2):161-8. doi: 10.3109/17483107.2012.714052. Epub 2012 Sep 20. — View Citation

Kolominsky-Rabas PL, Weber M, Gefeller O, Neundoerfer B, Heuschmann PU. Epidemiology of ischemic stroke subtypes according to TOAST criteria: incidence, recurrence, and long-term survival in ischemic stroke subtypes: a population-based study. Stroke. 2001 Dec 1;32(12):2735-40. doi: 10.1161/hs1201.100209. — View Citation

Langhorne P, Bernhardt J, Kwakkel G. Stroke rehabilitation. Lancet. 2011 May 14;377(9778):1693-702. doi: 10.1016/S0140-6736(11)60325-5. — View Citation

Lee IW, Kim YN, Lee DK. Effect of a virtual reality exercise program accompanied by cognitive tasks on the balance and gait of stroke patients. J Phys Ther Sci. 2015 Jul;27(7):2175-7. doi: 10.1589/jpts.27.2175. Epub 2015 Jul 22. — View Citation

Mazzoleni S, Focacci A, Franceschini M, Waldner A, Spagnuolo C, Battini E, Bonaiuti D. Robot-assisted end-effector-based gait training in chronic stroke patients: A multicentric uncontrolled observational retrospective clinical study. NeuroRehabilitation. 2017;40(4):483-492. doi: 10.3233/NRE-161435. — View Citation

Mehrholz J, Thomas S, Werner C, Kugler J, Pohl M, Elsner B. Electromechanical-assisted training for walking after stroke. Cochrane Database Syst Rev. 2017 May 10;5(5):CD006185. doi: 10.1002/14651858.CD006185.pub4. — View Citation

Mehrholz J, Wagner K, Rutte K, Meissner D, Pohl M. Predictive validity and responsiveness of the functional ambulation category in hemiparetic patients after stroke. Arch Phys Med Rehabil. 2007 Oct;88(10):1314-9. doi: 10.1016/j.apmr.2007.06.764. — View Citation

Moreland JD, Depaul VG, Dehueck AL, Pagliuso SA, Yip DW, Pollock BJ, Wilkins S. Needs assessment of individuals with stroke after discharge from hospital stratified by acute Functional Independence Measure score. Disabil Rehabil. 2009;31(26):2185-95. doi: 10.3109/09638280902951846. — View Citation

Ochi M, Wada F, Saeki S, Hachisuka K. Gait training in subacute non-ambulatory stroke patients using a full weight-bearing gait-assistance robot: A prospective, randomized, open, blinded-endpoint trial. J Neurol Sci. 2015;353(1-2):130-6. doi: 10.1016/j.jns.2015.04.033. Epub 2015 May 1. — View Citation

Paolucci S, Bragoni M, Coiro P, De Angelis D, Fusco FR, Morelli D, Venturiero V, Pratesi L. Quantification of the probability of reaching mobility independence at discharge from a rehabilitation hospital in nonwalking early ischemic stroke patients: a multivariate study. Cerebrovasc Dis. 2008;26(1):16-22. doi: 10.1159/000135648. Epub 2008 May 30. — View Citation

Perry J, Garrett M, Gronley JK, Mulroy SJ. Classification of walking handicap in the stroke population. Stroke. 1995 Jun;26(6):982-9. doi: 10.1161/01.str.26.6.982. — View Citation

Peurala SH, Tarkka IM, Pitkanen K, Sivenius J. The effectiveness of body weight-supported gait training and floor walking in patients with chronic stroke. Arch Phys Med Rehabil. 2005 Aug;86(8):1557-64. doi: 10.1016/j.apmr.2005.02.005. — View Citation

Picelli A, Chemello E, Castellazzi P, Roncari L, Waldner A, Saltuari L, Smania N. Combined effects of transcranial direct current stimulation (tDCS) and transcutaneous spinal direct current stimulation (tsDCS) on robot-assisted gait training in patients with chronic stroke: A pilot, double blind, randomized controlled trial. Restor Neurol Neurosci. 2015;33(3):357-68. doi: 10.3233/RNN-140474. — View Citation

Rand D, Eng JJ, Liu-Ambrose T, Tawashy AE. Feasibility of a 6-month exercise and recreation program to improve executive functioning and memory in individuals with chronic stroke. Neurorehabil Neural Repair. 2010 Oct;24(8):722-9. doi: 10.1177/1545968310368684. Epub 2010 May 11. — View Citation

Rosa MC, Marques A, Demain S, Metcalf CD. Fast gait speed and self-perceived balance as valid predictors and discriminators of independent community walking at 6 months post-stroke--a preliminary study. Disabil Rehabil. 2015;37(2):129-34. doi: 10.3109/09638288.2014.911969. Epub 2014 Apr 23. — View Citation

Sale P, Franceschini M, Waldner A, Hesse S. Use of the robot assisted gait therapy in rehabilitation of patients with stroke and spinal cord injury. Eur J Phys Rehabil Med. 2012 Mar;48(1):111-21. — View Citation

Schwartz I, Meiner Z. Robotic-assisted gait training in neurological patients: who may benefit? Ann Biomed Eng. 2015 May;43(5):1260-9. doi: 10.1007/s10439-015-1283-x. Epub 2015 Feb 28. — View Citation

Shah S, Vanclay F, Cooper B. Improving the sensitivity of the Barthel Index for stroke rehabilitation. J Clin Epidemiol. 1989;42(8):703-9. doi: 10.1016/0895-4356(89)90065-6. — View Citation

Swinnen E, Baeyens JP, Knaepen K, Michielsen M, Hens G, Clijsen R, Goossens M, Buyl R, Meeusen R, Kerckhofs E. Walking with robot assistance: the influence of body weight support on the trunk and pelvis kinematics. Disabil Rehabil Assist Technol. 2015 May;10(3):252-7. doi: 10.3109/17483107.2014.888487. Epub 2014 Feb 11. — View Citation

Taqi MA, Vora N, Callison RC, Lin R, Wolfe TJ. Past, present, and future of endovascular stroke therapies. Neurology. 2012 Sep 25;79(13 Suppl 1):S213-20. doi: 10.1212/WNL.0b013e31826959e5. — View Citation

Taveggia G, Borboni A, Mule C, Villafane JH, Negrini S. Conflicting results of robot-assisted versus usual gait training during postacute rehabilitation of stroke patients: a randomized clinical trial. Int J Rehabil Res. 2016 Mar;39(1):29-35. doi: 10.1097/MRR.0000000000000137. — View Citation

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Tong RK, Ng MF, Li LS. Effectiveness of gait training using an electromechanical gait trainer, with and without functional electric stimulation, in subacute stroke: a randomized controlled trial. Arch Phys Med Rehabil. 2006 Oct;87(10):1298-304. doi: 10.1016/j.apmr.2006.06.016. — View Citation

Vahlberg B, Cederholm T, Lindmark B, Zetterberg L, Hellstrom K. Factors related to performance-based mobility and self-reported physical activity in individuals 1-3 years after stroke: a cross-sectional cohort study. J Stroke Cerebrovasc Dis. 2013 Nov;22(8):e426-34. doi: 10.1016/j.jstrokecerebrovasdis.2013.04.028. Epub 2013 May 28. — View Citation

van de Port IG, Kwakkel G, Lindeman E. Community ambulation in patients with chronic stroke: how is it related to gait speed? J Rehabil Med. 2008 Jan;40(1):23-7. doi: 10.2340/16501977-0114. — View Citation

van Hedel HJ, Wirz M, Dietz V. Assessing walking ability in subjects with spinal cord injury: validity and reliability of 3 walking tests. Arch Phys Med Rehabil. 2005 Feb;86(2):190-6. doi: 10.1016/j.apmr.2004.02.010. — View Citation

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* Note: There are 47 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Other Functional Ambulation Category (FAC) FAC is a functional walking test that evaluates ambulation ability. This 6-point scale assesses ambulation status by determining how much human support the patient requires when walking, regardless of whether or not they use a personal assistive device. at baseline (T0) only
Primary Change in 10 Meter Walk Test (10MWT) This test will assess the patient's speed during gait. Patients will be asked to walk at their preferred maximum and safe speed. Patients will be positioned 1 meter before the start line and instructed to walk 10 meters, and pass the end line approximately 1 meter after. The distance before and after the course are meant to minimize the effect of acceleration and deceleration. Time will be measured using a stopwatch and recorded to the one hundredth of a second (ex: 2.15 s). The test will be recorded 3 times, with adequate rests between them. The average of the 3 times should be recorded. at baseline (T0), at 2 months-the end of treatment (T1) and at 3 months after the end of rehabilitation-follow up (T2)
Secondary Change in Timed Up and Go test (TUG) The TUG is a test used to assess mobility, balance, and walking in people with balance impairments. The subject must stand up from a chair (which should not be leant against a wall), walk a distance of 3 meters, turn around, walk back to the chair and sit down - all performed as quickly and as safely as possible. Time will be measured using a chronometer. at baseline (T0), at 2 months-the end of treatment (T1) and at 3 months after the end of rehabilitation-follow up (T2)
Secondary Change in 6 Minute Walking Test (6MWT) The 6MWT measures the distance a subject covers during an indoor gait on a flat, hard surface in 6 minutes, using assistive devices, as necessary. The test is a reliable and valid evaluation of functional exercise capacity and is used as a sub-maximal test of aerobic capacity and endurance. The minimal detectable change in distance for people with sub-acute stroke is 60.98 meters. The 6MWT is a patient self-paced walk test and assesses the level of functional capacity. Patients are allowed to stop and rest during the test. However, the timer does not stop. If the patient is unable to complete the test, the time is stopped at that moment. The missing time and the reason of the stop are recorded. This test will be administered while wearing a pulse oximeter to monitor heart rate and oxygen saturation, also integrated with Borg scale to assess dyspnea. at baseline (T0), at 2 months-the end of treatment (T1) and at 3 months after the end of rehabilitation-follow up (T2)
Secondary Change in Trunk Control Test (TCT) The TCT assesses the motor impairment in stroke patients and it's correlated with eventual walking ability. Testing is done with the patient lying on a bed: (1) roll to weak side. (2) roll to strong side. (3) balance in sitting position on the edge of the bed with the feet off the ground for at least 30. (4) sit up from lying down. Total score: 0-100. at baseline (T0), at 2 months-the end of treatment (T1) and at 3 months after the end of rehabilitation-follow up (T2)
Secondary Change in Motricity Index (MI) The MI aims to evaluate lower limb motor impairment after stroke, administrated on both sides.
Items to assess the lower limbs are 3, scoring from 0 to 33 each: (1) ankle dorsiflexion with foot in a plantar flexed position (2) knee extension with the foot unsupported and the knee at 90° (3) hip flexion with the hip at 90° moving the knee as close as possible to the chin. (no movement: 0, palpable flicker but no movement: 9, movement but not against gravity :14, movement against gravity movement against gravity: 19, movement against resistance: 25, normal:33)
1 leg score for each side = SUM (points for the 3 leg tests) + 1 Interpretation: minimum score: 0; maximum score:100
at baseline (T0), at 2 months-the end of treatment (T1) and at 3 months after the end of rehabilitation-follow up (T2)
Secondary Change in ModifiedAshworth Scale (MAS) The MAS is a 6 point ordinal scale used for grading hypertonia in individuals with neurological diagnoses. A score of 0 on the scale indicates no increase in tone while a score of 4 indicates rigidity. Tone is scored by passively moving the individual's limb and assessing the amount of resistance to movement felt by the examiner. at baseline (T0), at 2 months-the end of treatment (T1) and at 3 months after the end of rehabilitation-follow up (T2)
Secondary Change in Modified Barthel Index (mBI) To assess the level of disability during the indoor and outdoor activities of daily living at baseline (T0), at 2 months-the end of treatment (T1) and at 3 months after the end of rehabilitation-follow up (T2)
Secondary Change in Walking Handicap Scale (WHS) WHS is a classification of 6 functional walking categories, considered as a participation category of the ICF because of its 3 items referred to community ambulation. at baseline (T0), at 2 months-the end of treatment (T1) and at 3 months after the end of rehabilitation-follow up (T2)
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