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No differences in SLS were found between participants with unilateral LLL and those with BLLA, suggesting that balance and postural stability impairments affect these participants equally.
Medical Condition TTA, n (%) TFA, n (%) Total Participants 60 32 Head Injury/Traumatic Brain Injury 23 (38) 14 (44) Posttraumatic Stress Disorder 21 (35) 12 (38) Depression 12 (20) 7 (22) Heterotopic Ossification on Residual 16 (27) 20 (63) Limb(s) Medical Condition BLLA, n (%) Total, n (%) Total Participants 26 118 Head Injury/Traumatic Brain Injury 16 (62) 53 (45) Posttraumatic Stress Disorder 11 (42) 44 (37) Depression 5 (19) 24 (20) Heterotopic Ossification on Residual 17 (65) 53 (45) Limb(s) BLLA = bilateral lower-limb amputation, TFA = unilateral transfemoral amputation, TTA = unilateral transtibial amputation.
SMs between the ages of 22 and 40 yr (mean age 28.6 [+ or -] 5.5 yr) with BLLA resulting from traumatic causes participated in the study (Table 1).
When the AMP was performed by those with BLLA, we observed that the scoring of certain items had an unfair bias secondary to mechanical or physical limitations that could never be overcome, regardless of functional level or prosthetic ability.
Although literature examining predictive measures of functional mobility for those with BLLA is limited, our findings are consistent with previous studies that state the presence of at least one intact knee is key to maximizing function .
The AMP-B provides a more accurate assessment of the functional capabilities of SMs with BLLA.
Despite the overall small sample size, this is one of the largest performance-based outcomes studies conducted to date measuring functional mobility for those with BLLA. Future work should enable clinicians to determine the capabilities of this population with an instrument that allows them to measure an obtainable goal.
The baseline characteristics for the different amputation groups (TTA, TFA, BLLA) are described in Table 3.
The results of the separate regression analyses for TTA, TFA, and BLLA are presented in subsequent paragraphs, followed by findings from an analysis of the contribution of prosthetic components.
Table 6 describes the stepwise regression analysis for the SMs with BLLA. The final combined model accounted for 91 percent of variance in high-level mobility as measured by CHAMP score.
Significant differences (p < 0.05) were found among SMs with BLLA between those who wore J-shaped SAT feet (16.19 [+ or -] 5.90,p < 0.05) and low-profile feet (5.29 [+ or -] 3.79) and between the J-shaped feet (17.38 [+ or -] 6.30, p < 0.05) and low-profile feet.
In the final combined model, four variables predicted 91 percent of the variance in CHAMP scores for SMs with BLLA. A variable representing the number of remaining intact knees was made in order to analyze one model for SMs with BLLA.
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