NCT03805009

Brief Summary

To date, no studies seems to compare conventional gait rehabilitation program with end-effector RAGT in subacute stroke patients by analysing the variations of gait kinematics beyond clinical multi prospective outcomes. The aim of this pilot study is to evaluate the efficacy of end-effector RAGT in subacute stroke patients in terms of clinical outcomes and gait kinematics, comparing them with conventional gait rehabilitation program.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
26

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Mar 2013

Longer than P75 for not_applicable

Geographic Reach
1 country

2 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

March 19, 2013

Completed
4.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2017

Completed
9 months until next milestone

Study Completion

Last participant's last visit for all outcomes

September 30, 2018

Completed
3 months until next milestone

First Submitted

Initial submission to the registry

January 10, 2019

Completed
5 days until next milestone

First Posted

Study publicly available on registry

January 15, 2019

Completed
Last Updated

April 10, 2024

Status Verified

June 1, 2023

Enrollment Period

4.8 years

First QC Date

January 10, 2019

Last Update Submit

April 9, 2024

Conditions

Keywords

StrokeRobotHemiparesisGait TrainingRehabilitationFunctional RecoveryRobot-Assisted Gait Training

Outcome Measures

Primary Outcomes (1)

  • Change in Six-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.

    Session 1 (baseline), and Session 20 (week 7)

Secondary Outcomes (10)

  • Change in Fugl-Meyer Assessment (FMA) scale

    Session 1 (baseline), and Session 20 (week 7)

  • Change in Motricity Index (MI)

    Session 1 (baseline), and Session 20 (week 7)

  • Change in Modified Ashworth Scale (MAS)

    Session 1 (baseline), and Session 20 (week 7)

  • Change in Tinetti Scale Balance (TIN-B)

    Session 1 (baseline), and Session 20 (week 7)

  • Change in Tinetti Walking (TIN-W)

    Session 1 (baseline), and Session 20 (week 7)

  • +5 more secondary outcomes

Other Outcomes (2)

  • Gait Analysis

    Session 1 (baseline), and Session 20 (week 7)

  • Postural Analysis

    Session 1 (baseline), and Session 20 (week 7)

Study Arms (2)

Robotic Group (RG)

EXPERIMENTAL

Robotic Group (RG) will perform, in addition to conventional therapy, gait training using an end-effector robotic device for Robot-Assisted Gait Training (RAGT), 3 times/week for 20 sessions. During the training, patients will be asked to walk, at a varying speed, for 45 minutes and a partial Body Weight Support (BWS). Participants will start with 30-40% of BWS and an initial speed of 1.5 km/h; increasing to a maximum of between 2.2 and 2.5 km/h and reducing the initial BWS to 15%. The therapist will provide any help during sessions if required. Over 45 minutes, the patient simulates a minimum of 300 steps; patients could rest during the session, though they will be asked to walk continuously for a minimum of 5 minutes during each session.

Device: Robot-Assisted Gait Training (RAGT)

Conventional Group (CG)

NO INTERVENTION

Conventional Group (CG) will perform conventional gait rehabilitation program. The treatment will include: muscle strengthening exercises and stretching of the lower limb, and static and dynamic exercises for the recovery of balance in the supine and standing positions using assistive devices; training gait exercises with parallel bars or in open spaces performed both with and without assistive devices; training to climb up and down stairs; exercises to improve proprioception in the supine, sitting and standing positions, using a proprioceptive footboard; exercises to improve trunk control.

Interventions

The Robotic Group (RG) performs a Robot-Assisted Gait Training (RAGT) using an end-effector robotic device (G-EO system-Reha Technology-Olten, Switzerland).

Robotic Group (RG)

Eligibility Criteria

Age18 Years - 80 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • first cerebral stroke
  • weeks up to 6 months post the acute event (subacute patients)
  • age between 18-80 years
  • ability to fit into the end-effector footplates
  • no significant limitation of joint range of motion
  • ability to tolerate upright standing for 60 seconds
  • ability to walk unassisted or with little assistance
  • ability to give written consent
  • compliance with the study procedures

You may not qualify if:

  • contractures of the hip, knee, or ankle joints that might limit the range of motion during gait
  • medical issue that precludes full weight bearing and ambulation (e.g. orthopaedic injuries, pain, severe osteoporosis, or severe spasticity)
  • cognitive and/or communicative disability (e.g. due to brain injury): inability to understand the instructions required for the study
  • cardiac pathologies, anxiety or psychosis that might interfere with the use of the equipment or testing
  • Written informed consent was obtained from each subject.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

IRCCS San Raffaele Pisana

Rome, RM, 00163, Italy

Location

Fondazione Don Carlo Gnocchi Onlus

Rome, RM, 00166, Italy

Location

Related Publications (23)

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    PMID: 17971632BACKGROUND
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    PMID: 24710969BACKGROUND
  • Eng JJ, Tang PF. Gait training strategies to optimize walking ability in people with stroke: a synthesis of the evidence. Expert Rev Neurother. 2007 Oct;7(10):1417-36. doi: 10.1586/14737175.7.10.1417.

    PMID: 17939776BACKGROUND
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    PMID: 19608100BACKGROUND
  • 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.

    PMID: 28488268BACKGROUND
  • Pons, J. L. (2008). Wearable robots: biomechatronic exoskeletons. John Wiley & Sons. 127-164.

    BACKGROUND
  • 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.

    PMID: 20584307BACKGROUND
  • Mehrholz J, Pohl M. Electromechanical-assisted gait training after stroke: a systematic review comparing end-effector and exoskeleton devices. J Rehabil Med. 2012 Mar;44(3):193-9. doi: 10.2340/16501977-0943.

    PMID: 22378603BACKGROUND
  • 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.

    PMID: 22992166BACKGROUND
  • Cho DY, Park SW, Lee MJ, Park DS, Kim EJ. Effects of robot-assisted gait training on the balance and gait of chronic stroke patients: focus on dependent ambulators. J Phys Ther Sci. 2015 Oct;27(10):3053-7. doi: 10.1589/jpts.27.3053. Epub 2015 Oct 30.

    PMID: 26644642BACKGROUND
  • Li L, Ding L, Chen N, Mao Y, Huang D, Li L. Improved walking ability with wearable robot-assisted training in patients suffering chronic stroke. Biomed Mater Eng. 2015;26 Suppl 1:S329-40. doi: 10.3233/BME-151320.

    PMID: 26406020BACKGROUND
  • Bonnyaud C, Pradon D, Boudarham J, Robertson J, Vuillerme N, Roche N. Effects of gait training using a robotic constraint (Lokomat(R)) on gait kinematics and kinetics in chronic stroke patients. J Rehabil Med. 2014 Feb;46(2):132-8. doi: 10.2340/16501977-1248.

    PMID: 24162795BACKGROUND
  • Lonini L, Shawen N, Scanlan K, Rymer WZ, Kording KP, Jayaraman A. Accelerometry-enabled measurement of walking performance with a robotic exoskeleton: a pilot study. J Neuroeng Rehabil. 2016 Mar 31;13:35. doi: 10.1186/s12984-016-0142-9.

    PMID: 27037035BACKGROUND
  • Gandolfi M, Geroin C, Picelli A, Munari D, Waldner A, Tamburin S, Marchioretto F, Smania N. Robot-assisted vs. sensory integration training in treating gait and balance dysfunctions in patients with multiple sclerosis: a randomized controlled trial. Front Hum Neurosci. 2014 May 22;8:318. doi: 10.3389/fnhum.2014.00318. eCollection 2014.

    PMID: 24904361BACKGROUND
  • Sale P, Russo EF, Russo M, Masiero S, Piccione F, Calabro RS, Filoni S. Effects on mobility training and de-adaptations in subjects with Spinal Cord Injury due to a Wearable Robot: a preliminary report. BMC Neurol. 2016 Jan 28;16:12. doi: 10.1186/s12883-016-0536-0.

    PMID: 26818847BACKGROUND
  • Dundar U, Toktas H, Solak O, Ulasli AM, Eroglu S. A comparative study of conventional physiotherapy versus robotic training combined with physiotherapy in patients with stroke. Top Stroke Rehabil. 2014 Nov-Dec;21(6):453-61. doi: 10.1310/tsr2106-453.

    PMID: 25467393BACKGROUND
  • 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.

    PMID: 18467648BACKGROUND
  • Aprile I, Iacovelli C, Padua L, Galafate D, Criscuolo S, Gabbani D, Cruciani A, Germanotta M, Di Sipio E, De Pisi F, Franceschini M. Efficacy of Robotic-Assisted Gait Training in chronic stroke patients: Preliminary results of an Italian bi-centre study. NeuroRehabilitation. 2017;41(4):775-782. doi: 10.3233/NRE-172156.

    PMID: 28946585BACKGROUND
  • 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.

    PMID: 26512928BACKGROUND
  • Mao YR, Lo WL, Lin Q, Li L, Xiao X, Raghavan P, Huang DF. The Effect of Body Weight Support Treadmill Training on Gait Recovery, Proximal Lower Limb Motor Pattern, and Balance in Patients with Subacute Stroke. Biomed Res Int. 2015;2015:175719. doi: 10.1155/2015/175719. Epub 2015 Nov 16.

    PMID: 26649295BACKGROUND
  • Davis RB, Ounpuu S, Tyburski D, Gage JR. A gait analysis data collection and reduction technique. Hum MovSci 1991; 10: 575-587.

    BACKGROUND
  • Winter DA. Biomechanics and motor control of human movement. John Wiley & Sons, 2009.

    BACKGROUND
  • Nichols-Larsen DS, Clark PC, Zeringue A, Greenspan A, Blanton S. Factors influencing stroke survivors' quality of life during subacute recovery. Stroke. 2005 Jul;36(7):1480-4. doi: 10.1161/01.STR.0000170706.13595.4f. Epub 2005 Jun 9.

    PMID: 15947263BACKGROUND

MeSH Terms

Conditions

StrokeCentral Nervous System DiseasesCerebrovascular DisordersBrain DiseasesCardiovascular DiseasesGait Disorders, NeurologicParesis

Condition Hierarchy (Ancestors)

Nervous System DiseasesVascular DiseasesNeurologic ManifestationsSigns and SymptomsPathological Conditions, Signs and Symptoms

Study Officials

  • Marco Franceschini, MD

    IRCCS San Raffaele Pisana

    STUDY CHAIR
  • Sanaz Pournajaf, Dr

    IRCCS San Raffaele Pisana

    PRINCIPAL INVESTIGATOR
  • Michela Goffredo, Ing

    IRCCS San Raffaele Pisana

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Masking Details
All the clinical assessments are routinely administered by both participating centers, and the outcome assessors are blinded to the study protocols.
Purpose
TREATMENT
Intervention Model
PARALLEL
Model Details: Single blinded, non randomized, pilot study
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

January 10, 2019

First Posted

January 15, 2019

Study Start

March 19, 2013

Primary Completion

December 31, 2017

Study Completion

September 30, 2018

Last Updated

April 10, 2024

Record last verified: 2023-06

Locations