Stepping Up: A Functional Ambulation Study Across Multiple Levels of Non-Traumatic Amputation

Category: Other Introduction/Purpose: The level of amputation for patients with non-traumatic foot pathologies is a complex decision that limb salvage surgeons face, with ambulation playing a crucial role in the quality of life and long-term survival of amputees. In recent years, gait sensors have been used to access ambulation. This study investigates functional outcomes of digit, ray, transmetarsal (TMA), and below-knee amputations (BKA) using wearable gait sensors. Methods: Between December 2021 and January 2024, adult patients who were able to ambulate unassisted, without experiencing pain, and without an open wound or lower extremity surgery in the preceding three months, were selected for participation. Inclusion was voluntary and offered to all patients who presented to the wound care center for a period of 3 years. Out of 451 patients, 77 patients who had undergone amputations at levels including digit amputation, ray resection, TMA, or BKA, were included in this analysis. Patient characteristics, preoperative factors, and surgical history were collected. Participants completed a standardized assessment protocol using wearable gait sensors. This involved completing a 120-second walk test at a self-selected pace. The data collected from the sensors were analyzed using the Motility Lab software, with statistical significance set at p < 0.05. Results: A total of 77 patients were included for analysis, comprising 30 (38.9%) digit, 12 ray (15.6%), 12 TMA (15.6%), and 23 BKA (29.9%). The average age (61.3 1.19 years), body mass index (30.8 0.71 kg/m 2 ), and Charlson Comorbidity Index (4.9 0.2) did not differ between groups. Proportion of smokers (n=30, 34.8%), diabetes mellitus type II (n=54, 62.8%), chronic kidney disease (n=24, 29.1%), end stage renal disease (n=7, 8.1%) was similar across all four groups. There were no differences in gait speed (0.80 0.02 m/s, p=0.414), elevation mid-swing (1.62 0.14 cm, p=0.063), step duration (0.63 0.01s, p=0.066), cadence (96.2 1.2 steps/min, p=0.434), single limb support (34.4 0.3%, p=0.185), double limb support (29.2 0.6%, p=0.089), and stride length (0.97 0.02 m, p=0.225) across level of amputations. Conclusion: Our study shows comparable ambulatory function across all levels of amputation. This may highlight the importance of selecting the right amputation per patient, multidisciplinary limb salvage, and improvements in wearable aids. We encourage other large limb salvage centers to utilize wearable sensors to assess functionality of non-traumatic amputations.

Authors

Publication Details

Journal
Foot & Ankle Orthopaedics
Published
2024-10-01
DOI
https://doi.org/10.1177/2473011424s00505
Primary Topic
Prosthetics and Rehabilitation Robotics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stepping Up: A Functional Ambulation Study Across Multiple Levels of Non-Traumatic Amputation

Hudson Liu, Holly Shan, Alexander W. Young, Paul S. Cooper et al.
Foot & Ankle Orthopaedics
Prosthetics and Rehabilitation Robotics
article

Stepping Up: A Functional Ambulation Study Across Multiple Levels of Non-Traumatic Amputation

Hudson Liu, Holly Shan, Alexander W. Young, Paul S. Cooper, Jayson N. Atves, Kishan M. Shah, John Day, Wenxin Luo, Luke J. Llaurado
article en

Abstract

Category: Other Introduction/Purpose: The level of amputation for patients with non-traumatic foot pathologies is a complex decision that limb salvage surgeons face, with ambulation playing a crucial role in the quality of life and long-term survival of amputees. In recent years, gait sensors have been used to access ambulation. This study investigates functional outcomes of digit, ray, transmetarsal (TMA), and below-knee amputations (BKA) using wearable gait sensors. Methods: Between December 2021 and January 2024, adult patients who were able to ambulate unassisted, without experiencing pain, and without an open wound or lower extremity surgery in the preceding three months, were selected for participation. Inclusion was voluntary and offered to all patients who presented to the wound care center for a period of 3 years. Out of 451 patients, 77 patients who had undergone amputations at levels including digit amputation, ray resection, TMA, or BKA, were included in this analysis. Patient characteristics, preoperative factors, and surgical history were collected. Participants completed a standardized assessment protocol using wearable gait sensors. This involved completing a 120-second walk test at a self-selected pace. The data collected from the sensors were analyzed using the Motility Lab software, with statistical significance set at p < 0.05. Results: A total of 77 patients were included for analysis, comprising 30 (38.9%) digit, 12 ray (15.6%), 12 TMA (15.6%), and 23 BKA (29.9%). The average age (61.3 1.19 years), body mass index (30.8 0.71 kg/m 2 ), and Charlson Comorbidity Index (4.9 0.2) did not differ between groups. Proportion of smokers (n=30, 34.8%), diabetes mellitus type II (n=54, 62.8%), chronic kidney disease (n=24, 29.1%), end stage renal disease (n=7, 8.1%) was similar across all four groups. There were no differences in gait speed (0.80 0.02 m/s, p=0.414), elevation mid-swing (1.62 0.14 cm, p=0.063), step duration (0.63 0.01s, p=0.066), cadence (96.2 1.2 steps/min, p=0.434), single limb support (34.4 0.3%, p=0.185), double limb support (29.2 0.6%, p=0.089), and stride length (0.97 0.02 m, p=0.225) across level of amputations. Conclusion: Our study shows comparable ambulatory function across all levels of amputation. This may highlight the importance of selecting the right amputation per patient, multidisciplinary limb salvage, and improvements in wearable aids. We encourage other large limb salvage centers to utilize wearable sensors to assess functionality of non-traumatic amputations.

Foot & Ankle OrthopaedicsVol. 9(4)
Openalex Percentile: Top 77%
Prosthetics and Rehabilitation Robotics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.