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Enregistrement W4415769617 · doi:10.33137/cpoj.v8i2.45790

EVIDENCE-BASED RECOMMENDATION OF A POWERED KNEE FOR TRANSFEMORAL BONE-ANCHORED PROSTHESES: A CROSS-SECTIONAL STUDY

2025· article· en· W4415769617 sur OpenAlexvenueaboutno aff
Laurent Frossard, Stefan Laux, Marta Geada, Lisa Tronicke, Þór Friðriksson, Knut Lechler

Notice bibliographique

RevueCanadian Prosthetics & Orthotics Journal · 2025
Typearticle
Langueen
DomaineEngineering
ThématiqueProsthetics and Rehabilitation Robotics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWork (physics)PopulationPower (physics)Balance (ability)Clinical Practice

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: A transfemoral bone-anchored prosthesis (TF-BAP) can be fitted with non-microprocessor-controlled knees (N-MPKs), or with microprocessor-controlled knees, which can be passive (P-MPKs) or active (A-MPKs). The next generation of A-MPKs, including powered knees, is emerging. The understanding of the loading applied on TF-BAP fitted with these A-MPKs is limited. OBJECTIVE: This cross-sectional study aimed to characterize the load applied on instrumented TF-BAP fitted with an A-MPK (Power Knee, Össur, Iceland) during standardized daily activities. Furthermore, some load characteristics applied during walking were compared with TF-BAP fitted with N-MPK and P-MPK reported in the literature using similar approach. METHODOLOGY: Thirteen males fitted with a transfemoral press-fit osseointegrated implant participated in this study between 2021 and 2022. Forces and moments applied on the instrumented TF-BAP, fitted with a Power Knee (PKA01) and Pro-Flex (LP, XC) or Balance S feet (ÖSSUR, Iceland), were measured wirelessly using an iPecsLab (RTC Electronics, USA) during walking, ascending and descending ramp and stairs. We followed a 28-step process to characterize the loading pattern considering spatiotemporal gaits variables as well as loading boundaries and extrema. FINDINGS: Overall, 1,327 steps were analyzed. The cadence ranged between 34 ± 6 and 49 ± 13 strides/min. The maximum forces and moments recorded on the long, anteroposterior and mediolateral axes of the transducer were 1,258 N, 331 N and 234 N as well as 19 Nm, 74 Nm and 91 Nm, respectively. CONCLUSION: The Power Knee, combined with Pro-Flex or Balance S feet, may improve participants’ capacity to ambulate. Comparations with reference values indicated that transitions from N-MPKs or P-MPKs to the Power Knee are considered safe and likely to improve efficiency. This study contributed to evidence-based recommendations of TF-BAP fitted with powered knees. Hopefully, this work will advance clinical practice guidelines for the growing population choosing bionic solutions. Layman's Abstract Advanced prosthetic knees play a key role in achieving rehabilitation success when a bionic limb is attached directly to the remaining bone in people with lower limb loss. The next generation of bionic knees, called powered knees, is emerging. Indeed, they become more frequently prescribed for individuals fitted with implant inserted into their bone. However, more scientific evidence is required to confirm the safety and efficacy of these knees before they can be accepted as the standard of care. Consequently, this study examined the forces applied between a powered knee and the implant in the residual bone, measured directly using a wireless device embedded in the prosthesis. Thirteen individuals with transfemoral amputations participated in the study between 2021 and 2022. The mechanical constraint was directly measured using a wireless device embedded into the prosthesis. The outcomes were benchmark against reference data provided in the literature. The outcomes of this study confirmed that the newly developed component, Power Knee, is both safe and potentially effective in restoring gait for users of bionic limbs. This work also improves standard methods for evaluating how prosthetic components mechanically affect the implant-bone interface in direct skeletal attachment of bionic limbs. Overall, this work will, hopefully, contribute to the development of clinical practice guidelines for the rehabilitation of the growing population choosing bionic solutions. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/45790/34428 How To Cite: Frossard L, Laux S, Geada M, Tronicke L, Fridriksson T, Lechler K. Evidence-based recommendation of a powered knee for transfemoral bone-anchored prostheses: A cross-sectional study. Canadian Prosthetics & Orthotics Journal. 2025; Volume 8, Issue 2, No. 4. Https://doi.org/10.33137/cpoj.v8i2.45790 Corresponding Author: Professor Laurent Frossard, (PhD)Affiliation: 1) YourResearchProject Pty Ltd, Brisbane, Australia; 2) Griffith University, Southport, Australia; 3) Queensland University of Technology, Brisbane, Australia; 4) University of the Sunshine Coast, Sippy Downs, Australia.E-Mail: laurentfrossard@outlook.comORCID ID: https://orcid.org/0000-0002-0248-9589

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,139
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,036
Tête enseignante GPT0,297
Écart entre enseignants0,262 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission2
Résumé présentoui

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