Background
Lower extremity amputation is the loss or surgical removal of part of the lower limb as a result of disease, trauma, malignant tumors, or congenital anomaly. Approximately 180,000 lower extremity amputations are performed in the United States annually.1 Diabetes and peripheral vascular disease are the leading causes of lower extremity amputation in the United States,2 accounting for more than half of the nearly 100,000 major (i.e., proximal to the ankle) lower limb amputations per year.3
Loss of a lower limb negatively affects functional performance, at home and in the community, due to the importance of the lower extremity for balance, transferring, and ambulation. Lower limb amputation is associated with reduced mobility and an increased risk of falling.4,5 A prosthetic knee is a component of the prosthesis required by an individual with a transfemoral, knee disarticulation, or hip disarticulation amputation to help restore functional ability. With over 220 prosthetic knee products available, appropriate selection, based on an amputee's medical condition and rehabilitation goals, is of critical importance for a successful outcome.6,7 An individual with a lower limb amputation can be classified based on their ability or potential to function with a prosthesis, which may assist in the selection of a suitable prosthetic knee joint.8
Prosthetic knees can be categorized based on their mechanism of control, either mechanical or microprocessor. A mechanical knee joint, or non-microprocessor-controlled knee (NMPK), can achieve control by manual locking, friction, or hydraulic or pneumatic valves that are adjusted during the prosthetic fitting. A microprocessor controlled prosthetic knee (MPK) uses integrated sensors and a microcomputer that collect and analyze data (e.g., movement, timing, position, velocity), and then adjusts, in real time, the flexion and extension resistance of the prosthetic joint during the swing- and/or stance-phase of the gait cycle.9 Multiple MPK products are available with variable integration of microprocessor technology.10 Microprocessor controlled knees can be activated only in swing phase, stance phase, or can provide both swing- and stance-phase control. The proposed benefits of MPKs compared with NMPKs include improved overall stability when standing and walking (e.g., navigation of ramps, stairs, and uneven terrain).9,11 The addition of integrated technology to MPKs allows the knee to detect when the user trips or stumbles, then automatically increases resistance in the knee to provide support for recovery and potentially prevent a fall.
Microprocessor controlled prosthetic knees are currently covered by Medicare for beneficiaries classified as Medicare Functional Classification Level (MFCL) 3 or above, who have, at minimum, the ability or potential for ambulation with variable cadence. This summary of evidence will focus on the use of MPKs in limited community ambulators, classified as MFCL-2, who are described as having the ability or potential for ambulation with the ability to traverse low level environmental barriers such as curbs, stairs, or uneven surfaces. Specifically, the analysis will concentrate on rate of falls, risk of falling, fear of falling, and gait performance with MPKs with integrated technology that allows the knee to detect when the user trips or stumbles and can automatically adjust to stabilize the knee unit compared to NMPKs in MFCL-2 Medicare beneficiaries with lower limb amputations requiring a prosthetic knee.
Measures of Fall Rate, Risk of Falling, Fear of Falling, and Rehabilitation Potential in Individuals with Lower Limb Loss
In the community setting, more than 50% of individuals with lower limb amputation fall anually,12-14 compared to the reported 26% fall rate in individuals without lower limb amputation over a 2-year period.15 Nearly 50% of individuals with lower limb amputation report a fear of falling.14 The consequences of falls in lower limb prosthetic users may include activity limitation, increased injuries, increased fear of falling, and reduced quality of life.16-18 Factors that have been associated with fall rate and fall risk in individuals with lower limb amputations include the presence of other comorbidities (i.e., vascular disease), balance confidence,14 balance ability,19 time since amputation, and age.12
The challenges of determining fall rate and identifying individuals using a lower limb prosthetic who are at risk of falling have been described in the literature.20 First, the definition of falls in lower limb prosthetic users is not uniform and lacks prosthetic-specific language (e.g., was the individual wearing their prosthetic at the time of the fall).5,21 Second, the majority of fall research is retrospective in design and based on self-reported outcome measures (e.g., fall history) which may introduce recall and response bias into the studies.5,16 And, finally, many performance-based tests of balance and mobility that have been used to screen for the risk of falling in patients with lower limb amputation are not specific to this population,20 are not routinely administered in clinical practice,22,23 and are rarely prospectively validated.18,24
In addition to patient-reported fall rates, other self-reported outcome measures that have been used in studies to examine balance and mobility in individuals with lower limb amputations include, but are not limited to: (1) the Prosthesis Evaluation Questionnaire Addendum (PEQ-A) – a questionnaire to quantify balance confidence, stumbles and falls, and concentration;25 (2) the Activities-specific Balance Confidence Scale (ABC) – a survey to assess how confident a patient is that they will not lose balance in 16 different tasks;20 and, (3) the Prosthetic Limb Users Survey of Mobility (PLUS-M) – a survey which evaluates perceived ability to complete household and outdoor ambulation activities.20,26
Performance-based outcome measures that have been used in studies to examine the risk of falls in individuals with lower limb amputations include, but are not limited to: (1) the Timed-Up-and-Go (TUG) test – a timed assessment of functional mobility with transfers, walking and a turn; (2) the Berg Balance Scale (BBS) – an assessment of a subject’s balance during performance of 14 tasks; (3) the L Test of Functional Mobility (L Test) – a modified TUG with longer walking distance and additional turn; and (4) the Four Square Step Test (FSST) – an assessment of an individual’s coordination and stability while stepping over low objects forwards, backwards, and sideways.5,7,20
Outcome measures that have been used to assess the concern of falling in individuals with lower limb amputations include, but are not limited to: (1) the Modified Survey of Activities and Fear of Falling in the Elderly (mSAFE) – a questionnaire that evaluates the avoidance of activities of daily living due to the perceived fear of falling; (2) the Falls Efficacy Scale - International (FES-I) – a 16-item scale that measures an individual’s level of concern of falling when performing physical and social activities; (3) the Consequences of Falling Scale (COF) – this 16-item scale quantifies perceived concerns regarding consequences that may occur after a fall; (4) the Perceived Control Over Falling Scale (PCOF) – a 4-item scale which assesses a subject’s ability to control the environment and mobility; and, (5) the Perceived Ability to Manage Falls Scale (PAMF) – a 5-item scale which assesses the certainty that an individual would be able to manage a fall and find a way to get up.27,28 Balance confidence tests such as the ABC scale and BBS have also been studied as surrogate measures of the fear of falling in individuals with lower limb amputations.28,29
Some inconsistencies in the ability of self-reported and performance-based tests to predict fall risk have been reported in the literature for individuals with lower limb amputations,5 including, but not limited to: (1) variability in TUG cut-off scores (in seconds);17,24 (2) variability in the ability of BSS to determine which individuals are at increased or decreased risk of falling;29,30 and, (3) the paradoxical finding of a greater risk of falling despite higher ABC balance confidence scores in individuals with lower limb amputation compared to the general geriatric population,24 suggesting that patient-perceived performance ability may overestimate actual performance ability.20 In addition to the uncertainty in fall risk outcome measures, the reliability study that examined tests that assess the fear of falling in individuals with lower limb amputations was small and relied on convenience sampling, which may not be representative of the Medicare population.27
Challenges related to assigning functional levels to individuals with lower limb amputation have also been discussed in the literature, due to the lack of a standard objective measure of functional level and the lack of a standard predictive tool for rehabilitation potential.31-33 Attempts have been made to develop and validate the Amputee Mobility Predictor (AMP) as an objective instrument to predict Medicare functional levels;34,35 however, the predictive value of the instrument across the Medicare functional classification levels is variable.31 Other predictive models of prosthetic mobility potential, based on retrospective data analysis, have been more recently proposed, but further application studies are needed.36,37
Review of the literature for this summary of evidence will include consideration of the ability of the outcome measures used in the studies to evaluate fall rate, risk of falling, and fear of falling with MPKs compared to NMPKs in Medicare-eligible prosthetic knee users characterized as MFCL-2 (limited community) ambulators. Specifically, potential recall and response bias for self-reported measures, and the reliability and validity of performance-based measures in individuals with lower limb amputations will be assessed.
Food and Drug Administration (FDA) Status
Microprocessor-controlled knees may be classified as either Class I (general controls) devices under 21 CFR §890.3420 (external limb prosthetic component)38 or as Class II (special controls) devices under 21 CFR §890.3500 (external assembled lower limb prosthesis).39 Both classifications are exempt from 510(k) pre-market notification requirements.
Literature Analysis
A retrospective study, by Davie-Smith, et al.,40 examined patient-reported and functional outcome measures in a cohort of 31 (per protocol) low-activity participants (defined as either K2 or less active K3 ambulators; mean age: 60 years) with unilateral transfemoral amputation (TFA) when using an MPK compared to a NMPK . Outcome measures were the Health-Related Quality of Life (HR-QoL) survey and gait profile score (GPS) as primary outcomes, and the ABC, PLUS-M, Socket Comfort Score (SCS), self-reported falls, use of walking aids, AMP, L-test, and 2-minute walk test (2MWT) as secondary outcomes. The MPK assigned was determined by the participant’s physician; assigned MPKs were the Kenevo (n = 13), C-Leg 3 (n = 2), C-leg 4 (n = 13), Orion (n = 1), Linx (n = 1), and Rheo (n = 2). After 6 months of MPK use, there were no significant improvements in HR-QoL (p = 0.014), GPS (p = 0.019), PLUS-M (p = 0.056), SCS (p = 0.071), median number of falls, or any 3DGA generated gait specific outcomes (only 15 participants completed the 3DGA). There were significant improvements in ABC score (p < 0.001), L-test time (p < 0.001), walking distance in the 2MWT (p < 0.001), AMP (p < 0.001), and mean number of falls (p < 0.001). Notably, the median number of falls per annum remained unchanged at zero (0) with MPKs compared to NMPKs, suggesting a non-normal distribution of falls in the study population. The change in AMP score resulted in 14 patients being reclassified to a higher MFCL. Limitations of this study include the retrospective design and small cohort size, the heterogeneity in type of MPK, suspension system, foot, and ankle, and the heterogeneity in the amount of physiotherapy or at-home exercises. Additionally, due to the lack of minimum clinically important difference data for most patient-reported and functional outcomes, the true clinical significance in the improvement is not known.
A multi-center, randomized crossover trial, by Lansade, et al.,41 compared the efficacy of the Kenevo MPK to NMPKs in 35 participants (mean age: 64.5 years; 27 included in the per protocol analysis) with TFA or knee disarticulation, functioning at a moderate activity level [International Classification of Functioning (ICF) d4601 (moving around buildings other than the home) or d4602 (moving around outside the home and other buildings)]. The primary outcome measure was the TUG test; secondary outcome measures were the Locomotor Capability Index (LCI-5), use of walking aids, the Quebec User Evaluation of Satisfaction with Assistive Technology 2.0 (QUEST 2.0) questionnaire, the Medical Outcomes Study Short Form 36 v2 (SF-36v2) physical component and mental component sub-scores, and the number of falls in the last month of the trial. With MPKs, there were statistically significant improvements in balance as per median (Q1-Q3) TUG time (p = 0.001), mobility as per the global and basic LCI-5 score (p = 0.02), satisfaction as per the QUEST 2.0 (p = 0.001), and quality of life per the mental component of the SF-36v2 (p = 0.03). There were no significant differences in advanced LCI-5 score (p = 0.16), the physical component of the SF-36v2 (p = 0.08), use of walking aids (p = 0.97), or the incidence of falls (p = 0.61). No adverse events (AEs) were reported. The study limitations include small cohort size, short follow-up duration, and heterogeneity within the cohort regarding cause of amputations, the type of NMPK used as the comparator, and in the history of additional co-morbidities (e.g., cardiovascular disease, neurological impairment).
Hahn, et al.42 performed a retrospective, multi-center, cross-sectional cohort analysis of 1013 data sets to determine if a patient's age (average age: 55.6 years), mobility classification [based on the MOBIS mobility grading system; with MOBIS mobility grade (MG) 2 being similar to MFCL-2], or amputation etiology had an impact on their capability to utilize the functional benefits of an MPK (C-Leg or C-Leg Compact) based on a 1-day trial fitting. Functional outcomes included variance in gait cadence, gait pattern harmonization, relief of the sound limb, reduction of overall effort, divided attention, and safety. Self-reported fear of falling decreased in 82-87% of participants (ranging across age and MG groups), which corresponded to 83% of participants reporting a ‘clear’ or ‘very clear’ increase in perceived safety. Prosthetists reported that 95% of participants had relief of the sound limb, 95% had harmonization of gait pattern, and 93% had the ability to vary gait speed; while 88% of participants reported a reduction in walking effort and 94% reported greater capacity to divide attention. At the end of the trial, 50% [95% Confidence Interval (95% CI): 45-54%] of MG2 participants were re-rated as MG3 after the trial and 22% (95% CI: 18-26%) of MG3 participants were re-rated as MG4. Finally, a correlation analysis was performed, and there was no correlation between age, MG, and vascular disease with an individual’s ability to derive functional benefit from an MPK. The study limitations include that all data was collected from trial fittings in a commercial environment, using no common, validated assessment standard as part of the data collection; thus, this data may not translate to at home use of the prosthesis. Finally, self-report measures, such as fear of falling, may be subject to response bias.
A nonrandomized cross-over study, by Hafner, et al.,43 compared the effects of use of an MPK vs. a NMPK on function and safety in 17 patients, with TFA, classified as MFCL-2 (n = 8) or MFCL-3 (n = 9) (average age MFCL-2: 57.1 years, MFCL-3: 41.9 years; p = 0.05). Functional performance was measured with walking speed and step length on a sloped (19 degree) sidewalk, the Hill Assessment Index (HAI), the Stair Assessment Index (SAI), walking speed during an obstacle course, and accuracy and speed of response to verbal tests administered while participants walked on a busy city block. The PEQ-A was used to assess safety, stability, satisfaction, and quality of life. In the functional outcomes, for both the MFCL-2 and MFCL-3 cohorts, there were statistically significant improvements in the SAI (MFCL-2: p = 0.008, MFCL-3: p = 0.004), hill walking speed (MFCL-2: p = 0.002, MFCL-3: p = 0.017), and obstacle course walking speed (MFCL-2: p = 0.02, MFCL-3: p = 0.007) when using MPKs compared to NMPKs. The MFCL-2 cohort also saw significant improvements in the attention speed test (p = 0.02) and HAI score (p = 0.008) with MPKs. Attention accuracy was not significantly different between the MPK and NMPK in either mobility cohort. On the PEQ-A, the MFCL-3 cohort had a significant improvement in satisfaction (p = 0.002), ambulation (p = 0.01), and utility subscores (p = 0.01); both cohorts reported significant improvement in multitasking while walking when using the MPK (MFCL-2: p = 0.04, MFCL-3: p = 0.03). The MFCL-2 cohort saw significant improvement in the number of self-reported uncontrolled falls (p = 0.01); however, there were no statistically significant improvements in the number of self-reported stumbles, number of semi-controlled falls, or in self-assessed fear outcomes. Finally, four (4) MFCL-2 participants were reclassified as MFCL-3, three (3) MFCL-3 participants were reclassified as MFCL-4, and two (2) MFCL-3 participants were reclassified as MFCL-2. Only change in AMP score was significantly correlated with change in functional level (rs = 0.62, p = 0.008). This study was limited by the small sample size, lack of randomization and blinding, and use of self-reported fall and stumble rates, which may be subject to recall bias.
An observational study, performed by Kahle, et al.,44 compared functional performance of 19 individuals (average age: 51 years; MFCL-2: n = 9, MFCL-3: n = 8, MFCL-4: n = 2), with TFA or knee disarticulation, using an MPK (C-Leg) compared to a NMPK, to determine which population of patients living with lower limb amputation would benefit from use of an MPK. Functional outcomes included self-selected and fastest-possible walking speed on uneven and even terrain, as well as the stair descent test. Self-reported outcomes included the Prosthesis Evaluation Questionnaire (PEQ), knee preference, and number of stumbles and falls. For function outcomes, with the MPK, there were significant reductions in time to complete the following walking tests: 75 m with self-selected walking speed (p = 0.03), 6m (p = 0.001) and 75m (p = 0.005) with fastest-possible walking speed, and 38m with fastest-possible walking speed on uneven terrain (p < 0.001). In self-reported outcomes, there were significant improvements with the MPK in PEQ score (p = 0.007), mean number of stumbles (p = 0.006), and mean number of falls (p = 0.03). Descriptive statistics reported that 63% (12/19) of participants improved their performance composite scores during stair descent with the MPK and that 74% (14/19) of participants would prefer to continue using the MPK. Limitations to this study included the small sample size, heterogeneity in baseline NMPKs used, the mixed cohort of Medicare Functional Classification Levels, potential for recall bias related to self-report of falls and stumbles, and potential for intervention bias as the pre- and post-testing was administered by a single, unblinded rater.
A prospective, non-randomized, crossover clinical trial, by Kaufman, et al.,25 assessed if 23 (per protocol) individuals with unilateral TFA and low mobility, would benefit from using an MPK compared to a NMPK. Functional outcomes were assessed via an activity monitor, while self-reported outcomes of satisfaction and safety were assessed with the PEQ and PEQ-A, respectively. With the MPK, participants had a significant reduction in time spent sitting (p = 0.01) and a significant increase in median activity counts (p = 0.02). There was no significant change in gait complexity with the MPK (p = 0.35). For safety and satisfaction, with the MPK, there was a statistically significant reduction in median number of falls per person per month compared to baseline (p = 0.01) and a significant improvement in satisfaction on the PEQ (p < 0.01). Upon return to the NMPK, the median number of falls increased to 3 falls per person per month, and patients reported a greater fear of falling. Limitations of this study included the small sample size, potential recall and response bias due to use of patient reported falls as a measure of safety, and potential bias due to missing data secondary to a substantial number of patients (27/50) who were lost to follow-up or refused continued participation.
A prospective, observational study, by Mileusnic, et al.,45 examined clinical experiences with the Kenevo MPK in 29 individuals (average age: 63.2 years) with TFA or knee disarticulation and a mobility grade of MFCL-1, MFCL-2, or low MFCL-3. Safety, mobility, and preference were assessed using study-designed self-assessment questionnaires (self-reported measures of satisfaction, fear of falling, stumbles, and falls), the LCI-5, PLUS-M, and Houghton scale (self-assessed measure of prosthetic use). Participants completed baseline testing using their NMPK prior to fitting with the Kenevo and returned after 2 months of MPK use for repeat testing. Data was only included for analysis when data for both visits was available and complete, which ranged between 55-69% of participants, depending on the questionnaire. There were positive trends in fear of falling, rate of falling, and scores on the Houghton scale, PLUS-M, and LCI-5 after participants switched from their NMPK to the Kenevo MPK; however, none reached statistical significance (rate of falling: p = 0.161, n = 12; fear of falling: p = 0.075, n = 12; Houghton scale: p = 0.068, n = 11; PLUS-M: p = 0.124, n = 11; LCI-5: p = 0.097, n = 11). The rate of stumbles did significantly decrease (p = 0.044) with the Kenevo MPK (50% of patients (n value not specified) reported never falling with the Kenevo compared to 8% with their NMPK). The number of subjects who reported never falling increased from 45% with their old prosthesis to 72% with the Kenevo (p = 0.161, n = 12). Self-reported fear of falling improved in 50% and worsened in 8% of participants with the Kenevo (n = 12). Limitations of this study included the observational design, small sample size, completeness of data, mixed MFCL study population, and use of self-report of fall data, which may have been affected by recall and response bias.
Hahn, et al.31 performed a systematic review and meta-analysis (SRMA) which focused on the effects of use of MPKs on safety, function, and patient-reported outcomes in individuals with lower limb amputations classified as limited community ambulators (MFCL-2). Papers were included in this analysis if they were randomized or non-randomized trials comparing MPK to NMPK use, included limited community ambulators as a primary group/separate statistics, and reported their results with validated measures of safety, function, mobility, or patient-self-reported. There were 15 publications that met inclusion criteria with 2,366 total participants (range of mean ages: 54.1 to 69 years), including 704 participants classified as MFCL-2. When looking at walking performance with an MPK, there was significant improvement in walking speed (5 studies), slope ambulation (3 studies), stair/uneven terrain mobility (2 studies), and activities of daily living (ADL) and multitasking ability (1 study each). After switching from a NMPK to an MPK, 5 studies reported that approximately 50% of subjects increased from MFCL-2 to MFCL-3. Seven (7) studies reported improvements in patient-reported mobility and one (1) study reported improvement in quality of life. For the meta-analysis, both the fixed effect models and the random effects models showed that the standardized mean differences (SMD) favored MPK over NMPK in fall reduction (p < 0.01), fear of falling (p < 0.01), TUG completion time (p = 0.04), walking speed (p < 0.01), patient-reported ambulation PEQ (p < 0.01), and utility PEQ (p < 0.01). None of the included studies reported an outcome measure where NMPK use had a significant benefit over MPK use. Limitations of this SRMA include the high dropout rates in some of the included studies and heterogeneity in clinical outcomes evaluated across the studies, which lead to small sample sizes for each of the outcomes. Additionally, generalizability to the Medicare-aged population may be limited, as only 5/15 studies had an average participant age that was inclusive of this population.
Jayaraman, et al.46 performed a 13-month, longitudinal, randomized, crossover clinical trial to determine if MPKs compared to NMPKs improved safety and performance (e.g., walking speed and balance) in 10 participants (average age: 63 years) with unilateral TFA, secondary to vascular disease or diabetes, who are classified as limited community ambulators (MFCL-2). Performance-based outcome measures included the 10-meter walk test (10MWT), 6-minute walk test (6MWT), BBS, FSST, TUG, and AMP with prosthesis (AMPPro). Patient-reported safety outcome measures were the Modified Falls Efficacy Scale (MFES) and the PEQ-A. In an a priori defined post-hoc analysis, based on two-way repeated measures ANOVA methodology, there was significant improvement in the 10MWT when using the MPK compared to baseline in both speed (p = 0.008) and time (p = 0.046), but no significant difference in either speed or time when comparing the NMPK to baseline (p > 0.05). There were also significant improvements in AMPPro scores in post-hoc testing when using both the MPK (p = 0.018) and NMPK (p = 0.03); however, the change did not bring participants into the K3 AMPPro score range for either intervention. Participants self-reported significant improvements in the PEQ-A when using the MPK compared to baseline (p = 0.008), but not when using the NMPK compared to baseline. Finally, there was significant improvement in the MFES when comparing MPK to baseline (p = 0.003), but not when comparing NMPK to baseline (p > 0.05). No statistically significant changes were observed in the 6MWT, BBS, FSST, or TUG with a two-way repeated measures ANOVA. However, when MPK data from the present study was compared to previously published averages for K3 ambulators, 66% of participants improved their gait speed to above a standard K3 ambulator, and 50% of participants improved their BBS scores into a range indicative of a standard K3 ambulator. The limitations to this study include the small sample size (data indicate only 9/10 data sets were analyzed) and the change in prosthetic foot (which may have confounded some of the observed benefits).
Campbell, et al.47 conducted a retrospective analysis, on 602 data sets, which compared functional mobility, quality of life, satisfaction with amputee status, and rate of injurious falls (resulting in a clinic/hospital visit) across four MPKs: C-Leg, Orion, Plié, and Rheo (178 participants each used C-Leg, Orion, and Plié; 68 used Rheo; average age: 56.95 to 61.23). All participants were MFCL-3 or MFCL-4. Outcomes included the PLUS-M to assess mobility and the PEQ to assess quality of life and satisfaction. Additionally, 419 participants were included in a fall analysis; 10% reported an injurious fall in the previous 6 months that resulted in a clinic or hospital visit, but there was no significant difference in fall rate between the 4 MPKs (p = 0.171). When compared to NMPK historical benchmark data, C-leg (p < 0.001) and Orion (p = 0.037) users had significantly fewer injurious falls. When participants were grouped by age, there were statistically significant declines in mobility associated with age based on PLUS-M in C-Leg and Plié users; however, there was no statistically significant age-based PLUS-M differences in Rheo or Orion users. Finally, per PEQ survey responses, there was no statistical difference in satisfaction or quality of life across all MPKs. Limitations of this study included its retrospective observational design, use of only patient-reported outcome measures, unequal sample size of Rheo participants (potential selection bias), no standardization of duration of experience with MPK, exclusion of MFCL-1 and -2 participants (indirectness of study population), and inclusion of only falls that resulted in a clinic/hospital visit, which may under-represent the total number of falls.
A randomized crossover trial, by Theeven, et al.,48 assessed the effect of switching to an MPK on functional performance of ADLs in 28 (per protocol) individuals (average age: 59.1 years) with unilateral TFA or knee disarticulation classified as MFCL-2. Due to the heterogeneity (i.e., variability in type and severity of comorbidities) of the MFCL-2 population, this study also aimed to determine if these within-group differences might hinder the detection of the effects of using an MPK and to determine if only a subpopulation (high, intermediate, and low activity levels) of individuals classified as MFCL-2 would derive benefit from its use. Functional performance was measured using the investigator-developed Assessment of Daily Activity Performance in Transfemoral Amputees (ADAPT) test in which performance time and perceived level of difficulty were recorded for 17 simulated daily activities. The 17 tasks were divided into 3 activity subsets (AS): AS1 (standing activities that required balance), AS2 (activities that required sitting down and standing up), and AS3 (ambulation activities that rely upon prosthetic-related skills). At baseline, participants in the high and intermediate activity group performed AS1 (p = 0.001 and p = 0.007, respectively) and AS2 (p = 0.003 and p = 0.015, respectively) tasks significantly faster than the low activity group. There was no statistical difference between any activity groups in the AS3 tasks, and a significant difference between the high and intermediate activity groups was only observed in the AS2 tasks (p = 0.013). When comparing all participants performance with the C-Leg (MPKA) and the C-Leg Compact (MPKB) vs. NMPK, there was a significant decrease in time needed to complete AS1 tasks (MPKA: p = 0.0001 and MPKB: p = 0.002); and, the difficultly of tasks in the AS2 and AS3 categories was perceived as significantly less difficult with MPKA (AS2: p = 0.023 and AS3: p = 0.008) but not with MPKB. For the high and intermediate activity groups, there was a significant decrease in time needed to complete AS1 tasks with both MPKA (p = 0.010 and p = 0.004, respectively) and MPKB (p = 0.019 and p = 0.008, respectively). For only the intermediate activity group, AS2 task time was significantly lower with MPKA (p = 0.016). There was no statistically significant time difference in AS3 tasks for any group. Participants in the low activity group saw no significant time difference in any tasks with any prosthetic knee. At the end of the study, 21 (high = 10, intermediate = 7, low = 4) participants indicated preference for MPKA, 7 (high = 2, intermediate = 3, low = 2) for MPKB, and 1 (intermediate) for the NMPK. Limitations of this study included a small sample size, use of an unvalidated measure of functional performance, and short duration of follow-up.
Evidence Based Guidelines
Amputation and prosthetics of the lower extremity: The Dutch evidence-based multidisciplinary guideline- 202049
Summary of guidelines (in relevant part):
The conclusions for the a priori-defined outcome were as follows:
- Compared with conventional prosthetic knees, autoadaptive knees may result in lower energy consumption during ambulation at a normal speed (GRADE: low) and improved mobility (GRADE: low).
- It is unclear whether autoadaptive knees are associated with differences in risks of falling, balance, level of physical function, user satisfaction, and gait parameters (GRADE: very low).
- It is unclear whether actuated knees or feet are associated with differences in energy consumption, risks of falling, balance, level of physical function, user satisfaction, and gait parameters compared with conventional knee and foot units (GRADE: very low).
Recommendation:
- Consider the use of autoadaptive knees for either persons with increased risks of falling and impaired ambulatory skills or persons using their prostheses intensively, for whom further improvement in physical function or energy consumption is expected.
VA/DoD Clinical Practice Guideline for Rehabilitation of Individuals with Lower Limb Amputations– 201950
Summary of guidelines (in relevant part):
Recommendations:
Pre-Prosthetic Phase:
15. We suggest offering microprocessor knee units over non-microprocessor knee units for ambulation to reduce risk of falls and maximize patient satisfaction. There is insufficient evidence to recommend for or against any particular socket design, prosthetic foot categories, and suspensions and interfaces. [Strength: Weak for]
Developing Prescribing Guidelines for Microprocessor-Controlled Prosthetic Knees in South East England - 201451
Summary of guidelines (in relevant part):
Suitability
The patient needs to meet all the following criteria in order to qualify for consideration for an MPK.
- Activity level
Unilateral amputee K3 or K4 – patient is an active walker with a free knee – or K2 with demonstrable potential to improve to K3 which is later confirmed through a trial with an MPK. Bilateral amputee who is able to walk with a free knee.
- Mobility level
SIGAM D or above.
- Amputation level
Unilateral transfemoral;
Hip disarticulation;
Knee disarticulation;
Bilateral lower limb amputee (a major amputation on the contralateral side at or higher than mid-foot level).
- The patient must demonstrate
Commitment to prosthetic rehabilitation;
Adequate strength and balance to activate the knee unit;
Cognitive reasoning ability to master control, operation and care of the device;
Sufficient cardiovascular abilities to meet the fitness demands of ambulating outdoors with a free knee (only in a unilateral amputees).
Indications
- Limited community ambulatory. Improved stability in stance demonstrates increased independence, less risk of falls and potential to advance to a less restrictive walking device. This is providing that the patient has sufficient cardiovascular reserve, strength and balance to use the prosthesis and demonstrable potential to return to an active lifestyle and improve their level of activity. Trial is required to prove a significant improvement reflected in reduced care needs or the ability to perform new functions or daily tasks not possible with a non-MPK.
Professional Society Recommendations
N/A
Expert Consensus Documents
Centers for Medicare & Medicare Services Health Technology Assessment: Lower Limb Prosthetic Workgroup Consensus Document52
Microprocessor Knees (in relevant part):
The Workgroup was divided on the quality and strength of the literature pertaining to microprocessor knees (MPKs) for beneficiaries who ambulate at the K2 level. Some argued that the individual articles noted in the literature which discuss this topic, do adequately demonstrate that those who utilize their prosthesis at the K2 level might improve their functional abilities (e.g., walking speed on level and unlevel ground; ramp descent speed, falls, etc.) with MPK technology. Others argued that the studies comprising this literature were significantly flawed (e.g., small sample sizes, attrition, confounders such as training differences, sole use of laboratory studies, significant conflict of interests, etc.). Those arguing the limitations of these studies are aware that these findings may not agree with the conclusions of other federal agencies.
Therefore, the Workgroup acknowledges an amputee functioning at the K2 level may benefit from MPK technology. However, as a population, these individuals cannot be categorically defined for policy purposes. Consequently, the Workgroup recommends that if consideration is to be given to the provision of a microprocessor knee for an individual who currently utilizes his/her prosthesis at the K2 level, the rationale for that component must be justified in a pre-authorization request. To make that request stronger, a trial of usage should be considered by the prosthetist (prior to payment for the component) with pertinent results of that trial (i.e., pre/post data) as they relate to functional health outcomes including, but not limited to, falls/injuries and the accomplishment of activities of daily living / instrumental activities of daily living (ADLs/IADLs), being highlighted in the pre-authorization information. It will be the decision of the pre-authorization team to approve (or not) the request.
Impact Analysis
Kuhlmann et al., 202053 developed a decision-analytic model that focused on the amputee population, fall events, and prosthesis failure (i.e., the number of prosthesis revisions). Data for the models were collected from publicly accessible databases, published peer-reviewed literature, and data from prosthetic manufacturer Ottobock. The fall events model calculates the number of annual fall-related events among individuals with lower limb amputations requiring a prosthetic knee and with or without Diabetes Mellitus (DM); the model includes annual falls and falls requiring medical care, which are further classified into fatal and non-fatal medical falls. All fall and fall-related medical events are per 1000 person years. The predicted incidence rate of falls was lower in individuals without DM using the C-Leg compared to those using an NMPK (178 vs. 1102 falls, respectively); as well as in individuals with DM using the C-Leg compared to those using an NMPK (203 vs. 1201 falls, respectively). Fall-related fatalities and hospitalizations also decreased in individuals without DM using the C-Leg compared to NMPK (3 vs. 17 fatal falls and 20 vs. 134 hospitalizations, respectively) and in individuals with DM using the C-Leg compared to NMPK (3 vs. 18 fatal falls and 23 vs. 146 hospitalizations, respectively). This study was limited by the lack of long-term data on the risk of falling, and small sample sizes. Additionally, there was indirectness to the main literature analysis, as the results were based on data from a cohort of individuals with mixed MFCLs, stratified based on diabetes status rather than functional level, and the fatal fall probability data came from a general elderly population without amputations.
An analysis by Chen et al., 201854 included a literature review evaluating the impact of MPK vs. NMPK use in individuals functioning at a level of K3 and K4, as well as a cohort-level Markov model for fall rate. Falls were divided into medical (i.e., requiring medical attention) or non-medical, and medical falls were subdivided into minor, major (i.e., requiring admission to a medical facility), or fatal. Data included was from peer-reviewed articles and non-peer reviewed literature, such as technical reports and an expert panel. Data on K2 individuals was only included in the sensitivity analysis. Based on the model, when MPK use is compared to NMPK use, the risk of major injurious falls is reduced by 79% (104 to 22 falls per 1000 person years) and the incidence of minor falls reduced from 78 to 16 falls per 1000 person years. Fall-related deaths per 1000 person years decreased from 14 with NMPK use to 3 with MPK use. Limitations from this study include use of fall data from individuals from the general elderly population without amputations (e.g., medical falls out of all falls), small sample sizes, and limited follow-up time. Additionally, the fall rate model is limited by indirectness, as it did not include data from K2 individuals, only K3 and K4 individuals.