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Assistive Technology
The Official Journal of RESNA
Volume 35, 2023 - Issue 3
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Articles

Stability and Falls Evaluations in AMPutees (SAFE-AMP 1): Microprocessor knee technology reduces odds of incurring an injurious fall for individuals with diabetic/dysvascular amputation

, PhD, , PhD, , MEd & , PhD
Pages 205-210 | Accepted 19 Nov 2021, Published online: 13 Jan 2022

Figures & data

Figure 1. Individuals were extracted from the adults with unilateral above-the-knee amputation due to diabetes/vascular disease outcomes database based in the United States. For inclusion to the current analysis, individuals were restricted to the United States medicare functional classification level K3. Individuals were excluded if they did not have comorbidities verified. This resulted in exclusion of 12.7% of individuals to yield a total of 881 individuals available for analysis.

Figure 1. Individuals were extracted from the adults with unilateral above-the-knee amputation due to diabetes/vascular disease outcomes database based in the United States. For inclusion to the current analysis, individuals were restricted to the United States medicare functional classification level K3. Individuals were excluded if they did not have comorbidities verified. This resulted in exclusion of 12.7% of individuals to yield a total of 881 individuals available for analysis.

Table 1. Sample demographics. Values presented as median (interquartile range) except where percentage is noted for counts. MPK: microprocessor knee; BMI: adjusted body mass index; FCI: functional comorbidity index.

Table 2. Influence of microprocessor knees on injurious falls for individuals with diabetic/vascular amputation. MPK: microprocessor knee.

Figure 2. From the multivariate logistic regression model, it is possible to see the increased odds of falling for the individual with amputation due to diabetes/vascular disease when not provided an MPK regardless of factors such as age, gender, time since amputation, and BMI. MPK: microprocessor knee; BMI: adjusted body mass index.

Figure 2. From the multivariate logistic regression model, it is possible to see the increased odds of falling for the individual with amputation due to diabetes/vascular disease when not provided an MPK regardless of factors such as age, gender, time since amputation, and BMI. MPK: microprocessor knee; BMI: adjusted body mass index.

Table 3. Multivariate regression model to assess influence of microprocessor knees while accounting for age, sex, time since amputation, and adjusted body mass index. MPK: microprocessor knee; BMI: adjusted body mass index.