The LIMBER UniLeg, a 3D printed single-piece transtibial prosthetic limb, is sufficiently equivalent to traditional passive prosthetic limbs (no motors or sensors), while reducing the cost and time of manufacturing and enabling global reach through the use of digital technologies to solve the worldwide prosthetic accessibility crisis. This is a single-site, Phase I, Clinical Research Study to test the effectiveness and safety of the LIMBER UniLeg. One study group of 30 participants 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).
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
INTERVENTIONAL
Allocation
NA
Purpose
DEVICE_FEASIBILITY
Masking
NONE
Enrollment
30
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).
University of California San Diego
La Jolla, California, United States
RECRUITINGLimber Prosthetics & Orthotics Inc
San Diego, California, United States
RECRUITINGMobility - 6min walk
Measure total distance for a timed six-min walk test for both the Limber UniLeg vs. existing prosthetic devices.
Time frame: Baseline, 4weeks, 8 weeks
Mobility - Timed-Up-and-Go
Measure time for the timed up and go (TUG) test for both the Limber UniLeg vs. existing prosthetic devices.
Time frame: Baseline, 4weeks, 8 weeks
Mobility--25 foot walk
Time to cover 25 feet walking at a normal speed
Time frame: All visits (Baseline, 4 weeks, 8 weeks)
Quality of Care - Gait Symmetry
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.
Time frame: Baseline, 4weeks, 8 weeks
Quality of Care - Perceived Balance Confidence_Limits of Stability
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)
Time frame: Baseline, 4weeks, 8 weeks
Quality of Care - Perceived Balance Confidence_Adaptation Test
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.
Time frame: Baseline, 4weeks, 8 weeks
Quality of Care - Perceived Balance Confidence_Motor Control
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.
Time frame: Baseline, 4weeks, 8 weeks
Quality of Care - Utilization--At-home movement
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.
Time frame: Baseline-4weeks, 4weeks-8weeks
Quality of Care - Utilization--Physical Activity Intensity
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.
Time frame: Baseline-4weeks, 4weeks-8weeks
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