Robotic Assisted Rehabilitation for Balance and Gait in Orthopedic Patients.
RObotic Assisted Rehabilitation for Balance and Gait in Orthopedic Patients: Effects on Functional, Motor, and Cognitive Outcomes.
1 other identifier
interventional
24
1 country
1
Brief Summary
Osteoarthritis is a chronic, degenerative disease affecting the joints. It is characterized by the presence of bone tissue that goes to make up for the loss of articular cartilage, causing pain and limitation of movement. Osteoarthritis is a direct consequence of aging: it affects almost all 70-year-olds, peaking between 75 and 79 years. The presence of osteoarthritic processes at the hip and knee joints can result in pain, difficulty maintaining standing for a long time, and difficulty walking with loss of balance, increasing the risk of accidental falls to the ground. Falls are a frequent cause of mortality and morbidity and, often, limit autonomy leading to premature entry into assisted living facilities. In Italy, in 2002 it was estimated that 28.6% of people over 65 years fall within a year: of these, 43% fall more than once and 60% of falls occur at home. Such falls can often result in fractures leading to the need for hospitalization with significant impact on both motor and cognitive function. Balance and gait rehabilitation are of primary importance for the recovery of a person's autonomy and independence, especially in older individuals who have undergone osteosynthesis or prosthesis surgery of the lower limbs. Technological and robotic rehabilitation allows for greater intensity, objectivity, and standardization in treatment protocols, as well as in outcome measurement. In this context, patient motivation is fuelled and maintained by both the sensory stimuli that support technological treatment and the challenge of achieving ever better results, objective feedback from instrumental assessments. Osteoarthritic patients who have undergone osteosynthesis or lower extremity prosthetic surgery require special attention, especially with the goal of preventing further accidents and reducing the patient's risk of falling. Given these considerations, it is believed that conventional physical therapy combined with technological balance treatment may be more effective on rehabilitation outcome than conventional therapy alone.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Aug 2022
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 13, 2022
CompletedFirst Posted
Study publicly available on registry
July 15, 2022
CompletedStudy Start
First participant enrolled
August 1, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 31, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
October 31, 2023
CompletedJanuary 24, 2024
January 1, 2024
1.1 years
July 13, 2022
January 23, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Berg Balance Scale (BBS)
The Berg Balance Scale (BBS) is used to objectively determine a patient's ability (or inability) to safely balance during a series of predetermined tasks. It is a 14 item list with each item consisting of a five-point ordinal scale ranging from 0 to 4, with 0 indicating the lowest level of function and 4 the highest level of function and takes approximately 20 minutes to complete. It does not include the assessment of gait.
Change from Baseline Ambulation Index at 4 weeks
Secondary Outcomes (17)
Motricity Index (MI)
Change from Baseline Ambulation Index at 4 weeks
Timed Up and Go Test (TUG)
Change from Baseline Ambulation Index at 4 weeks
Knee Injury and Osteoarthritis Outcome Score - Italian Version (KOOS-I)
Change from Baseline Ambulation Index at 4 weeks
Hip disability and Osteoarthritis Outcome Score - Italian version (HOOS-I)
Change from Baseline Ambulation Index at 4 weeks
Ambulation Index (AI)
Change from Baseline Ambulation Index at 4 weeks
- +12 more secondary outcomes
Study Arms (2)
Experimental: Technological Group
EXPERIMENTALTechnological group (TG) patients will undergo robotic treatment for the improvement balance through the robotic platform (Hunova® Movendo Technology srl, Genova, IT), 3 times per week for 45 minutes each, in addition to the conventional treatment (total 180 minutes per day). In particular, the technological rehabilitation performed employing a footboard will be mostly aimed at improving the balance both in sitting and standing position, and will be proposed static and dynamic exercises, exercises dual-task exercises, and exercises to improve trunk control.
No Intervention: Control Group
NO INTERVENTIONCongrol Group (CG) patients will undergo conventional rehabilitation treatment only, using the main rehabilitation methods (e.g., neurocognitive theory, Bobath Concept, Progressive neuromuscular facilitation, etc.).
Interventions
Specific rehabilitation for balance disorder using the robotic platform
Eligibility Criteria
You may qualify if:
- Age greater than or equal to 55 years;
- Patients with outcomes of surgery for prosthetic hip or knee replacement;
- Latency from the acute event between 15 days and 3 months;
- Cognitive abilities to execute simple orders and understand the physical therapist's directions \[assessed by Token Test (score ≥26.5)\];
- Ability to walk independently or with little assistance;
- Ability to understand and sign informed consent.
You may not qualify if:
- Presence of systemic, neurological, cardiac pathologies that make walking hazardous or cause motor deficits;
- Presence of oncological pathologies;
- Presence of plantar ulcers;
- Partial or total amputation of foot segments.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Fondazione Policlinico Universitario A. Gemelli IRCCS
Rome, 00168, Italy
Related Publications (19)
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PMID: 26234280RESULTDavis RB, Õunpuu S, Tyburski D, Gage JR. A gait analysis data collection and reduction technique. Hum. Mov. Sci. 1991; 10, 575-587
RESULTGlyn-Jones S, Palmer AJ, Agricola R, Price AJ, Vincent TL, Weinans H, Carr AJ. Osteoarthritis. Lancet. 2015 Jul 25;386(9991):376-87. doi: 10.1016/S0140-6736(14)60802-3. Epub 2015 Mar 4.
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PMID: 27521436RESULTProsperini L, Castelli L, Sellitto G, De Luca F, De Giglio L, Gurreri F, Pozzilli C. Investigating the phenomenon of "cognitive-motor interference" in multiple sclerosis by means of dual-task posturography. Gait Posture. 2015 Mar;41(3):780-5. doi: 10.1016/j.gaitpost.2015.02.002. Epub 2015 Feb 21.
PMID: 25770078RESULTSinusas K. Osteoarthritis: diagnosis and treatment. Am Fam Physician. 2012 Jan 1;85(1):49-56.
PMID: 22230308RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Silvia Giovannini, MD, phD
Fondazione Policlinico Universitaria A. Gemelli IRCCS
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- INVESTIGATOR
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Researcher
Study Record Dates
First Submitted
July 13, 2022
First Posted
July 15, 2022
Study Start
August 1, 2022
Primary Completion
August 31, 2023
Study Completion
October 31, 2023
Last Updated
January 24, 2024
Record last verified: 2024-01
Data Sharing
- IPD Sharing
- Will not share