Evidence map›Paper›PMID 39003469›Full record

ArticleJournal of neuroengineering and rehabilitation2024

Factors leading to falls in transfemoral prosthesis users: a case series of prosthesis-side stumble recovery responses.

Shane T King, Maura E Eveld, Karl E Zelik, Michael Goldfarb

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Shane T KingDepartment of Mechanical Engineering, Vanderbilt University, Nashville, USA. sk210@rice.edu.
Maura E EveldDepartment of Mechanical Engineering, Vanderbilt University, Nashville, USA.
Karl E ZelikDepartment of Mechanical Engineering, Vanderbilt University, Nashville, USA.
Michael GoldfarbDepartment of Mechanical Engineering, Vanderbilt University, Nashville, USA.

Funding

Mitigating the effects of stumble perturbations in transfemoral amputeesR01HD088959 · NICHD · VANDERBILT UNIVERSITY · PI GOLDFARB, MICHAEL · 2017 to 2021
$1.6M
NIH HHS R01HD088959
6 · The paper itself

Abstract

backgroundFalls due to stumbling are prevalent for transfemoral prosthesis users and may lead to increased injury risk. This preliminary case series analyzes the transfemoral prosthesis user stumble recovery response to highlight key deficits in current commercially-available prostheses and proposes potential interventions to improve recovery outcomes.

methodsSix transfemoral prosthesis users were perturbed on their prosthetic limb at least three times while walking on a treadmill using obstacle perturbations in early, mid and late swing. Kinematic data were collected to characterize the response, while fall rate and key kinematic recovery metrics were used to assess the quality of recovery and highlight functional deficits in current commercially-available prostheses.

resultsAcross all participants, 13 (54%) of the 24 trials resulted in a fall (defined as > 50% body-weight support) with all but one participant (83%) falling at least once and two participants (33%) falling every time. In contrast, in a previous study of seven young, unimpaired, non-prosthesis users using the same experimental apparatus, no falls occurred across 190 trials. For the transfemoral prosthesis users, early swing had the highest rate of falling at 64%, followed by mid-swing at 57%, and then late swing at 33%. The trend in falls was mirrored by the kinematic recovery metrics (peak trunk angle, peak trunk angular velocity, forward reach of the perturbed limb, and knee angle at ground contact). In early swing all four metrics were deficient compared to non-prosthesis user controls. In mid swing, all but trunk angular velocity were deficient. In late swing only forward reach was deficient.

conclusionBased on the stumble recovery responses, four potential deficiencies were identified in the response of the knee prostheses: (1) insufficient resistance to stance knee flexion upon ground contact; (2) insufficient swing extension after a perturbation; (3) difficulty initiating swing flexion following a perturbation; and (4) excessive impedance against swing flexion in early swing preventing the potential utilization of the elevating strategy. Each of these issues can potentially be addressed by mechanical or mechatronic changes to prosthetic design to improve quality of recovery and reduce the likelihood a fall.

Indexed as

Accidental FallsArtificial LimbsAdultAmputeesBiomechanical PhenomenaFemaleFemurGaitHumansMaleMiddle AgedWalkingAmputationCommercial prosthesesGait biomechanicsTrip

Identifiers

PMID39003469
PMCPMC11245817

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.