- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06648798
LIMBER UniLeg: Rapid, On-demand, and Scaled-up Manufacturing of Customized Transtibial Prosthetic Legs for Amputees
Study Overview
Status
Intervention / Treatment
Detailed Description
Globally, 35-40 million people need prosthetics or other assistive devices, and this number is expected to double by 2050 due to factors including an aging population and the rise in diabetes. However, only 5-15% of people in need have access to prosthetics or other assistive devices, in both underserved and developed countries. The result is that millions of people are denied basic quality of life because they can't walk, take care of themselves, or participate in society. The lack of availability stems from several factors including poor access to clinics and high cost. Prosthetic devices are hand-sculpted and assembled by prosthetists via complex and time-consuming processes. High-cost 3rd party components are used to connect and align the hand-crafted components, leading to an expensive end-product.
Currently, several companies are successfully delivering 3D printed prosthetic sockets, but no one can deliver a fully 3D printed, single piece 'unibody' prosthesis. 3D printed sockets have been shown to provide increased comfort and fit and streamline the manufacturing process, but using traditional pylon, ankle/foot, and connector components lead to many of the same issues as traditional devices. Only 3D printing the socket may improve the outcome for people who could have gotten a traditional device but leaves behind the people in need who don't have access in the first place.
The custom-fit requirements make it difficult to mass-produce affordable devices and a lack of access to proper health care and medical professionals prevents adjustments needed to maintain safe, comfortable, and reliable prosthetic devices. This is critically important during the early recovery period when residual limbs change in shape due to atrophy and scar tissue formation, as well as having nerve endings that may be extra- sensitive. For children who grow quickly and need new devices every few months or years, swift access is both physically and psychologically important. Small imperfections at the prosthesis-limb interface can cause severe discomfort and may be the difference between an amputee wearing their prosthesis or choosing to forgo mobility. To obtain a well-fitted socket, prosthetists take measurements of the residual limb with a fitted liner and then mark anatomical areas on the limb. After assessing the limb, the prosthetist will use plaster bandages to create a cast around the limb. The anatomical marks will transfer to the interior of the mold, such that the prosthetist can attempt to design the socket to consider regions of bone or soft tissue. The prosthetist can manipulate the plaster bandages while they are hardening to adjust its shape. This shaping requires years of experience and will only result in a comfortable, functional socket if the prosthetist is highly skilled. Due to the expensive and time-consuming nature of this traditional process, new solutions are urgently needed.
Clinical Trial Justification:
During this study the study team expects to gather both quantitative and qualitative data that will be used to produce a performance report on the functionality of the LIMBER UniLeg. The goal of this trial is to provide evidence of non-inferiority of the intervention compared to the functional performance of similarly featured passive prosthetic devices, e.g. the patient's existing device.
This clinical trial will quantify the functionality, clinical efficacy, and quality of care of the LIMBER UniLeg and compare it to traditional passive prosthetic devices, referred to as existing prosthetic devices (EPD). This will provide evidence that LIMBER's novel 3D printing, scanning, and digital design workflow produces devices that are not inferior to traditionally manufactured prosthetic limbs.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: David Wing, MS
- Phone Number: 8585349315
- Email: dwing@health.ucsd.edu
Study Contact Backup
- Name: Michael Higgins, MS
- Phone Number: 8585349315
- Email: mdhiggins@health.ucsd.edu
Study Locations
-
-
California
-
La Jolla, California, United States, 92093
- Recruiting
- University of California San Diego
-
Contact:
- Michael Higgins, MS
- Phone Number: 8585349315
- Email: mdhiggins@health.ucsd.edu
-
Contact:
- David R Wing, MS
- Phone Number: 858-534-9315
- Email: dwing@health.ucsd.edu
-
Principal Investigator:
- Falko Kuester, Ph.D
-
San Diego, California, United States, 92111
- Recruiting
- Limber Prosthetics & Orthotics Inc
-
Contact:
- Luca De Vivo, PhD
- Phone Number: 310-602-9091
- Email: luca@limberprosthetics.com
-
Contact:
- Herb Barrack, CPO
- Phone Number: (310) 602-9091
- Email: herb@limberprosthetics.com
-
Principal Investigator:
- Herb Barrack, CPO
-
Sub-Investigator:
- Luca De Vivo, PhD
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Provision of signed and dated informed consent form.
- Stated willingness to comply with all study procedures and availability for the duration of the study.
- Persons, aged 18 to 75
- In good general health as determined by clinical site monitor
- Weight < 125kg
- Are not diabetic (self reported)
- Be a unilateral transtibial amputee of more than 1 year since amputation
- Have an existing prosthetic device(s) that does not use sensors or motors (is passive)
- Live in the Southern California region (within 50 miles of UCSD)
- Has sufficient sensation in residual limb as tested by the clinical site monitor
- Agreement to adhere to Lifestyle Considerations throughout study duration 11a. Use the testing device (EPD or UniLeg) only during the testing periods. 11b. Walk at least 14,000 steps per week (average of 1 mile per day). 11c. Maintain a similar diet and activity level throughout study duration (no abrupt changes of weight, activity, etc.)
Exclusion Criteria:
- Not currently using a prosthetic device
- Prosthetic device with active motors, sensors, etc.
- Pregnancy (due to fall risk)
- Diabetic (due to poor limb sensation), self reported
- No under 18 (due to inability to consent)
- No over 75 (due to fall risk)
- Poor proprioception or sensation at the residual limb
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Device Feasibility
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Intervention
Participants will be involved for two months using a non-inferiority design in which the participant will be assessed using their normal device (1 month) and the study device (1 month).
|
Participants will be involved for two months using a non-inferiority design in which the participant will be assessed using their normal device (1 month) and the study device (1 month).
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Mobility - 6min walk
Time Frame: Baseline, 4weeks, 8 weeks
|
Measure total distance for a timed six-min walk test for both the Limber UniLeg vs. existing prosthetic devices.
|
Baseline, 4weeks, 8 weeks
|
|
Mobility - Timed-Up-and-Go
Time Frame: Baseline, 4weeks, 8 weeks
|
Measure time for the timed up and go (TUG) test for both the Limber UniLeg vs. existing prosthetic devices.
|
Baseline, 4weeks, 8 weeks
|
|
Mobility--25 foot walk
Time Frame: All visits (Baseline, 4 weeks, 8 weeks)
|
Time to cover 25 feet walking at a normal speed
|
All visits (Baseline, 4 weeks, 8 weeks)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Quality of Care - Gait Symmetry
Time Frame: Baseline, 4weeks, 8 weeks
|
Measure load distribution and stride length using a six-foot force pad test for both the UniLeg and existing prosthetic device to quantify gait symmetry.
|
Baseline, 4weeks, 8 weeks
|
|
Quality of Care - Perceived Balance Confidence_Limits of Stability
Time Frame: Baseline, 4weeks, 8 weeks
|
Assess Participant's Limit of Stability using the NeuroCom Balance Manager.
Metrics include movement velocity, directional control, and maximal excursion in 8 directions (cardinal and semi-cardinal).
Higher scores are better and indicative of both a wider cone of stability (associated with less fall risk) and balance confidence (associated with greater overall movement and less fall rsik)
|
Baseline, 4weeks, 8 weeks
|
|
Quality of Care - Perceived Balance Confidence_Adaptation Test
Time Frame: Baseline, 4weeks, 8 weeks
|
Assess Participant's Adaptation using the NeuroCom Balance Manager. Metrics include recovery time following a pertubation. Unit of measurement is milliseconds with higher scores being indicative of slower recovery (associated with higher fall risk). Across 5 trials participants are expected to improve. The degree of improvement (Score 1-Score 5) is also a metric of interest with higher scores associated with less fall risk. |
Baseline, 4weeks, 8 weeks
|
|
Quality of Care - Perceived Balance Confidence_Motor Control
Time Frame: Baseline, 4weeks, 8 weeks
|
Assess Participant's Motor Control using the NeuroCom Balance Manager.
Metrics include stability following a pertubation.
Unit of measurement is milliseconds with higher scores being indicative of slower recovery (associated with higher fall risk).
Scores are averaged across multiple moderate and large pertubations in both the forward and backward directions.
|
Baseline, 4weeks, 8 weeks
|
|
Quality of Care - Utilization--At-home movement
Time Frame: Baseline-4weeks, 4weeks-8weeks
|
Measure total steps measured for two weeks per assessment period using an Actigraph accelerometer.
This will quantify utilization/daily ambulation while wearing the device(s), which will directly relate to patient satisfaction and comfort.
|
Baseline-4weeks, 4weeks-8weeks
|
|
Quality of Care - Utilization--Physical Activity Intensity
Time Frame: Baseline-4weeks, 4weeks-8weeks
|
Measure daily minutes spent in sedentary, light moderate, and intense levels of physical activity for two weeks per assessment period using an Actigraph accelerometer. This will quantify intensity of activity while wearing the device(s) which will directly relate to patient satisfaction and comfort, and effect on daily activity which may have impacts on other health metrics. Data will be derived based on movement levels using multiple potential cutpoints to quantify each minute as being one of the four potential activity bins. These are then summed across a day for activity level. Sleep time is removed by asking participants not to wear the device while in bed. |
Baseline-4weeks, 4weeks-8weeks
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Clinical Outcome - Pain
Time Frame: Baseline, 4weeks, 8 weeks
|
Collect Numeric Pain Rating Scale (NPRS) measures for the UniLeg and existing prosthetic device to characterize the reduction in joint, lower back, and limb pain. The scale is completed on a visual slider and then measured by location to be between 1-100 with higher numbers being indicative of less pain/greater comfort. |
Baseline, 4weeks, 8 weeks
|
|
Clinical Outcome - Quality of Life-European Quality of Life 5-Dimension 5-Level questionnaire
Time Frame: Baseline, 4weeks, 8 weeks
|
Collect the European Quality of Life 5-Dimension 5-Level questionnaire (EQ5D5L) measures for the UniLeg and existing prosthetic device to characterize the improvements in health-related quality of life.
The questionnaire is self-completed to assess five dimensions of health: Mobility, Self-care, Usual activities, Pain and discomfort, and Anxiety and depression on a 5 point scale from 1 (none) to 5 (extreme) with 5 being positive on mobility, self-care and usual activities and 1 on pain and anxiety subscales.
|
Baseline, 4weeks, 8 weeks
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Herb Barrack, CPO, Limber Prosthetics & Orthotics Inc
Publications and helpful links
General Publications
- Williamson A, Hoggart B. Pain: a review of three commonly used pain rating scales. J Clin Nurs. 2005 Aug;14(7):798-804. doi: 10.1111/j.1365-2702.2005.01121.x.
- Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, Bonsel G, Badia X. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011 Dec;20(10):1727-36. doi: 10.1007/s11136-011-9903-x. Epub 2011 Apr 9.
- Sprint G, Cook DJ, Weeks DL. Toward Automating Clinical Assessments: A Survey of the Timed Up and Go. IEEE Rev Biomed Eng. 2015;8:64-77. doi: 10.1109/RBME.2015.2390646. Epub 2015 Jan 12.
- Dite W, Connor HJ, Curtis HC. Clinical identification of multiple fall risk early after unilateral transtibial amputation. Arch Phys Med Rehabil. 2007 Jan;88(1):109-14. doi: 10.1016/j.apmr.2006.10.015.
- Solway S, Brooks D, Lacasse Y, Thomas S. A qualitative systematic overview of the measurement properties of functional walk tests used in the cardiorespiratory domain. Chest. 2001 Jan;119(1):256-70. doi: 10.1378/chest.119.1.256.
- Schoene D, Wu SM, Mikolaizak AS, Menant JC, Smith ST, Delbaere K, Lord SR. Discriminative ability and predictive validity of the timed up and go test in identifying older people who fall: systematic review and meta-analysis. J Am Geriatr Soc. 2013 Feb;61(2):202-8. doi: 10.1111/jgs.12106. Epub 2013 Jan 25.
- Rostagno C, Gensini GF. Six minute walk test: a simple and useful test to evaluate functional capacity in patients with heart failure. Intern Emerg Med. 2008 Sep;3(3):205-12. doi: 10.1007/s11739-008-0130-6. Epub 2008 Feb 26.
- Reid L, Thomson P, Besemann M, Dudek N. Going places: Does the two-minute walk test predict the six-minute walk test in lower extremity amputees? J Rehabil Med. 2015 Mar;47(3):256-61. doi: 10.2340/16501977-1916.
- Freedson P, Bowles HR, Troiano R, Haskell W. Assessment of physical activity using wearable monitors: recommendations for monitor calibration and use in the field. Med Sci Sports Exerc. 2012 Jan;44(1 Suppl 1):S1-4. doi: 10.1249/MSS.0b013e3182399b7e.
- Bui KL, Nyberg A, Maltais F, Saey D. Functional Tests in Chronic Obstructive Pulmonary Disease, Part 1: Clinical Relevance and Links to the International Classification of Functioning, Disability, and Health. Ann Am Thorac Soc. 2017 May;14(5):778-784. doi: 10.1513/AnnalsATS.201609-733AS.
- Barry E, Galvin R, Keogh C, Horgan F, Fahey T. Is the Timed Up and Go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta-analysis. BMC Geriatr. 2014 Feb 1;14:14. doi: 10.1186/1471-2318-14-14.
- ATS Committee on Proficiency Standards for Clinical Pulmonary Function Laboratories. ATS statement: guidelines for the six-minute walk test. Am J Respir Crit Care Med. 2002 Jul 1;166(1):111-7. doi: 10.1164/ajrccm.166.1.at1102. No abstract available. Erratum In: Am J Respir Crit Care Med. 2016 May 15;193(10):1185. doi: 10.1164/rccm.19310erratum.
- Holm, S. A simple sequentially rejective multiple test procedure. Scandinavian journal of statistics, 6(2):65-70, 1979.
- Efron, B. and Tibshirani, R.J. An Introduction to the Bootstrap, Springer, New York, NY, 1993.
- US Department of Health and Human Services C for DC and P. Assessment Timed Up and Go (TUG).; 2017. Accessed June 12, 2018
- Sions JM, Beisheim EH, Manal TJ, Smith SC, Horne JR, Sarlo FB. Differences in Physical Performance Measures Among Patients With Unilateral Lower-Limb Amputations Classified as Functional Level K3 Versus K4. Arch Phys Med Rehabil. 2018 Jul;99(7):1333-1341. doi: 10.1016/j.apmr.2017.12.033. Epub 2018 Feb 1.
- McCaffrey M, Beebe A. Managing your patients' adverse reactions to narcotics. Nursing. 1989 Oct;19(10):166-8. No abstract available.
- Heil DP, Brage S, Rothney MP. Modeling physical activity outcomes from wearable monitors. Med Sci Sports Exerc. 2012 Jan;44(1 Suppl 1):S50-60. doi: 10.1249/MSS.0b013e3182399dcc.
- Bassett DR Jr, Rowlands A, Trost SG. Calibration and validation of wearable monitors. Med Sci Sports Exerc. 2012 Jan;44(1 Suppl 1):S32-8. doi: 10.1249/MSS.0b013e3182399cf7.
- Bartels B, de Groot JF, Terwee CB. The six-minute walk test in chronic pediatric conditions: a systematic review of measurement properties. Phys Ther. 2013 Apr;93(4):529-41. doi: 10.2522/ptj.20120210. Epub 2012 Nov 15.
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- 803632
- 1R43HD112285-01A1 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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