Robot-assisted Gait Training in Patients With Multiple Sclerosis: Efficacy and Comparison With Traditional Methods

NCT ID: NCT02291107

Last Updated: 2015-08-21

Basic Information

• Recruitment Status: UNKNOWN
• Clinical Phase: NA
• Total Enrollment: 17 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2014-06-30
• Study Completion Date: 2016-06-30

Brief Summary

In Multiple Sclerosis (MS) gait disorders represent one of the most disabling aspect that strongly influence patient quality of life. The improvement of walking ability is a primary goal for rehabilitation treatment. Current promising rehabilitative approaches for neurological disorders are based on the concept of the task-specific repetitive training. Hence, the interest in automated robotic devices that allow this typology of treatment for gait training. However, studies on the effectiveness of such methodologies are still poorly numerous in terms of functional improvement in MS patients. The aim of this controlled cross-over study is to evaluate the effectiveness of a Lokomat gait training in patients affected by Multiple Sclerosis in comparison to a ground conventional gait training.

Detailed Description

In Multiple Sclerosis (MS), the highly variable distribution of demyelinization areas and axonal loss in the Central Nervous System can lead to very complex and unpredictable neurological deficits and clinical patterns. Gait disorders as reduced speed and stride length, gait asymmetry, increased muscular energy expenditure, balance deficit and increased risk of falling, represent one of the most disabling aspect. These motor problems strongly influence the level of independence that a person affected by MS is able to achieve, resulting in severe negative impact on quality of life. Therefore, the improvement of walking ability is a primary goal for rehabilitation treatment. Many studies demonstrated that a conventional rehabilitation treatment based on physiotherapy could be effective in increasing muscle strength and motor function, improving gait and mobility abilities, reducing fatigue and risk of falls, leading finally to an overall increase of patient autonomy. According to the most recent neurophysiological concepts based on neural plasticity, in recent years the rehabilitative approaches that seem to be more effective in improving functional performance are based on the concept of the task-specific repetitive training. As in the case of the constraint induced movement therapy (CIMT) for upper limb rehabilitation and the body weight support treadmill training (BWSTT) for the lower, the factors that appear to positively affect patient outcome are the intensity, precocity, repeatability, specificity in a training that incorporates high numbers of repetitions of task-oriented practice. Hence, the interest in automated robotic devices for gait training for MS patients has grown. With their consistent, symmetrical lower-limb trajectories, robotic devices provide many of the proprioceptive inputs that may increase cortical activation and stimulation of Central Pattern Generator (CGPs) in order to improve motor function. The use of robot-assisted-gait-training (RAGT) allows: repetition of specific and stereotyped movements in order to acquire a correct and reproducible gait pattern in conditions of balance and symmetry, early start of treatment using the activity with body weight support, safeguard of the patient with reduction of fear of falling, in order to increase the quantity and quality of the performed exercise while minimizing the intervention of a therapist. However, studies on the effectiveness of such methodologies are still poorly numerous in terms of functional improvement in patients with MS. The aim of this controlled cross-over study is to evaluate the effectiveness of a robot-driven gait orthosis (Lokomat - Hocoma, Inc., Zurich, Switzerland) gait training in patients affected by Multiple Sclerosis in comparison to a ground conventional gait training. The improvement in gait pattern, motor ability and autonomy in the functional activities of daily living will be assessed by using validated clinical and functional scales and quantitative instrumental analysis of gait kinematic parameters

Conditions

Multiple Sclerosis

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: CROSSOVER
• Primary Study Purpose: TREATMENT
• Blinding Strategy: DOUBLE

Study Groups

Experimental group

Participants received 25 sessions of robotically driven gait orthosis training on the Lokomat. Training occurred approximately 5 days/ week for 5 weeks, and each training session on the Lokomat lasted 30 minutes. All sessions were supervised by a trained research therapist. All participants started with 40% body weight-support and an initial treadmill speed of 1.5 km/h. Body weight-support was used primarily to facilitate an increase in walking speed; therefore, progression of training across subsequent sessions was standardized by preferentially increasing speed and then unloading body weight-support. Speed was increased to a range of 2.2 to 2.5 km/h before body weight-support was decreased. There was an active attempt to enhance the level of training at each session. After every Lokomat session, participants performed also 60 minutes of physiotherapy including general exercise program and a conventional gait training

Group Type: EXPERIMENTAL

Lokomat (Hocoma, Zurich, Switzerland)

Intervention Type: DEVICE

Patients allocated to the Experimental group performed a Robotic Assisted Gait Training by means of the Lokomat. The Lokomat is robotic device set up as an exoskeleton on the lower limbs of the patient. The system uses a dynamic body weight-support system to support he participant above a motorized treadmill synchronized with the Lokomat.

Control group

Participants received 25 sessions of conventional physiotherapy. Training occurred approximately 5 days/week for 5 weeks, and each training session lasted 1 hour and half. Patients allocated to the Control Group performed the same conventional physiotherapy training of the other group: a general exercise program and a conventional gait training. The general exercise program consisted in cardiovascular warm-up exercises, muscle stretching exercises, active-assisted or active isometric and isotonic exercises for the main muscles of the trunk and limbs, relaxation exercises, coordination and static/dynamic balance exercises. The conventional gait therapy was based on the proprioceptive neuromuscular facilitation concept, training in walking on different surfaces with or without appropriate walking aids, exercises for the restoration of a correct gait pattern, implementation of residual compensatory strategies and progressive increase of walking resistance

Group Type: ACTIVE_COMPARATOR

Conventional Physiotherapy

Intervention Type: OTHER

Patients allocated to the Control Group performed a general exercise program and a conventional gait training. The same trained therapist treated all the patients in this group and standardized the duration of each part of the treatment.

Interventions

Lokomat (Hocoma, Zurich, Switzerland)

Patients allocated to the Experimental group performed a Robotic Assisted Gait Training by means of the Lokomat. The Lokomat is robotic device set up as an exoskeleton on the lower limbs of the patient. The system uses a dynamic body weight-support system to support he participant above a motorized treadmill synchronized with the Lokomat.

Intervention Type: DEVICE

Conventional Physiotherapy

Patients allocated to the Control Group performed a general exercise program and a conventional gait training. The same trained therapist treated all the patients in this group and standardized the duration of each part of the treatment.

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

• diagnosis of multiple sclerosis according to the McDonald's Criteria in stable phase of disease for at least 3 months.
• ability to walk 25 foot without assistance
• EDSS score between 3.5 and 7

Exclusion Criteria

• exacerbations of the disease in the last 3 months
• deficits of somatic sensation involving the legs
• other neurological, orthopedic or cardiovascular co-morbility
• severe posture abnormalities
• severe-moderate cognitive impairment (Mini Mental State ≤ 21)
• body weight greater than 135 kg;
• height more than 200 cm;
• limb-length discrepancy greater than 2 cm;
• presence of skin lesions on the trunk, pelvis and lower limbs that could interfere with the placement of the electrodes and straps anchoring the Lokomat.

• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Habilita, Ospedale di Sarnico

OTHER

Sponsor Role: lead

Responsible Party

Dr. Cristiano Sconza

MD

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Umberto Bonassi, MD

Role: STUDY_CHAIR

HABILITA Zingonia

Cristiano Sconza, MD

Role: PRINCIPAL_INVESTIGATOR

HABILITA Zingonia

Locations

HABILITA

Zingonia Di Ciserano, Bergamo, Italy

Site Status: RECRUITING

Countries

Italy

Central Contacts

Cristiano Sconza, MD

Role: CONTACT

cristiano.sconza@gmail.com

0354815515

Facility Contacts

Paola Sabattini

Role: primary

paolasabattini@habilita.it

0354815515

References

Schwartz I, Sajin A, Moreh E, Fisher I, Neeb M, Forest A, Vaknin-Dembinsky A, Karusis D, Meiner Z. Robot-assisted gait training in multiple sclerosis patients: a randomized trial. Mult Scler. 2012 Jun;18(6):881-90. doi: 10.1177/1352458511431075. Epub 2011 Dec 6.

Reference Type: RESULT

PMID: 22146609 (View on PubMed)

Beer S, Aschbacher B, Manoglou D, Gamper E, Kool J, Kesselring J. Robot-assisted gait training in multiple sclerosis: a pilot randomized trial. Mult Scler. 2008 Mar;14(2):231-6. doi: 10.1177/1352458507082358. Epub 2007 Oct 17.

Reference Type: RESULT

PMID: 17942510 (View on PubMed)

Lo AC, Triche EW. Improving gait in multiple sclerosis using robot-assisted, body weight supported treadmill training. Neurorehabil Neural Repair. 2008 Nov-Dec;22(6):661-71. doi: 10.1177/1545968308318473.

Reference Type: RESULT

PMID: 18971381 (View on PubMed)

Swinnen E, Beckwee D, Pinte D, Meeusen R, Baeyens JP, Kerckhofs E. Treadmill training in multiple sclerosis: can body weight support or robot assistance provide added value? A systematic review. Mult Scler Int. 2012;2012:240274. doi: 10.1155/2012/240274. Epub 2012 May 30.

Reference Type: RESULT

PMID: 22701177 (View on PubMed)

Vaney C, Gattlen B, Lugon-Moulin V, Meichtry A, Hausammann R, Foinant D, Anchisi-Bellwald AM, Palaci C, Hilfiker R. Robotic-assisted step training (lokomat) not superior to equal intensity of over-ground rehabilitation in patients with multiple sclerosis. Neurorehabil Neural Repair. 2012 Mar-Apr;26(3):212-21. doi: 10.1177/1545968311425923. Epub 2011 Dec 2.

Reference Type: RESULT

PMID: 22140197 (View on PubMed)

Wier LM, Hatcher MS, Triche EW, Lo AC. Effect of robot-assisted versus conventional body-weight-supported treadmill training on quality of life for people with multiple sclerosis. J Rehabil Res Dev. 2011;48(4):483-92. doi: 10.1682/jrrd.2010.03.0035.

Reference Type: RESULT

PMID: 21674396 (View on PubMed)

Pilutti LA, Lelli DA, Paulseth JE, Crome M, Jiang S, Rathbone MP, Hicks AL. Effects of 12 weeks of supported treadmill training on functional ability and quality of life in progressive multiple sclerosis: a pilot study. Arch Phys Med Rehabil. 2011 Jan;92(1):31-6. doi: 10.1016/j.apmr.2010.08.027.

Reference Type: RESULT

PMID: 21187202 (View on PubMed)

Giesser B, Beres-Jones J, Budovitch A, Herlihy E, Harkema S. Locomotor training using body weight support on a treadmill improves mobility in persons with multiple sclerosis: a pilot study. Mult Scler. 2007 Mar;13(2):224-31. doi: 10.1177/1352458506070663.

Reference Type: RESULT

PMID: 17450642 (View on PubMed)

Eng J. Sample size estimation: how many individuals should be studied? Radiology. 2003 May;227(2):309-13. doi: 10.1148/radiol.2272012051.

Reference Type: RESULT

PMID: 12732691 (View on PubMed)

Other Identifiers

LK.S P07

Identifier Type: -

Identifier Source: org_study_id