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Knee adduction moment decomposition: Toward better clinical decision-making

Knee adduction moment (KAM) is correlated with the progression of medial knee osteoarthritis (OA). Although a generic gait modification can reduce the KAM in some patients, it may have a reverse effect on other patients. We proposed the “decomposed ground reaction vector” (dGRV) model to 1) distingu...

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Autores principales: Baniasad, Mina, Martin, Robin, Crevoisier, Xavier, Pichonnaz, Claude, Becce, Fabio, Aminian, Kamiar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715598/
https://www.ncbi.nlm.nih.gov/pubmed/36466350
http://dx.doi.org/10.3389/fbioe.2022.1017711
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author Baniasad, Mina
Martin, Robin
Crevoisier, Xavier
Pichonnaz, Claude
Becce, Fabio
Aminian, Kamiar
author_facet Baniasad, Mina
Martin, Robin
Crevoisier, Xavier
Pichonnaz, Claude
Becce, Fabio
Aminian, Kamiar
author_sort Baniasad, Mina
collection PubMed
description Knee adduction moment (KAM) is correlated with the progression of medial knee osteoarthritis (OA). Although a generic gait modification can reduce the KAM in some patients, it may have a reverse effect on other patients. We proposed the “decomposed ground reaction vector” (dGRV) model to 1) distinguish between the components of the KAM and their contribution to the first and second peaks and KAM impulse and 2) examine how medial knee OA, gait speed, and a brace influence these components. Using inverse dynamics as the reference, we calculated the KAM of 12 healthy participants and 12 patients with varus deformity and medial knee OA walking with/without a brace and at three speeds. The dGRV model divided the KAM into four components defined by the ground reaction force (GRF) and associated lever arms described with biomechanical factors related to gait modifications. The dGRV model predicted the KAM profile with a coefficient of multiple correlations of 0.98 ± 0.01. The main cause of increased KAM in the medial knee OA group, the second component (generated by the vertical GRF and mediolateral distance between the knee and ankle joint centers), was decreased by the brace in the healthy group. The first peak increased, and KAM impulse decreased with increasing velocity in both groups, while no significant change was observed in the second peak. The four-component dGRV model successfully estimated the KAM in all tested conditions. It explains why similar gait modifications produce different KAM reductions in subjects. Thus, more personalized gait rehabilitation, targeting elevated components, can be considered.
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spelling pubmed-97155982022-12-03 Knee adduction moment decomposition: Toward better clinical decision-making Baniasad, Mina Martin, Robin Crevoisier, Xavier Pichonnaz, Claude Becce, Fabio Aminian, Kamiar Front Bioeng Biotechnol Bioengineering and Biotechnology Knee adduction moment (KAM) is correlated with the progression of medial knee osteoarthritis (OA). Although a generic gait modification can reduce the KAM in some patients, it may have a reverse effect on other patients. We proposed the “decomposed ground reaction vector” (dGRV) model to 1) distinguish between the components of the KAM and their contribution to the first and second peaks and KAM impulse and 2) examine how medial knee OA, gait speed, and a brace influence these components. Using inverse dynamics as the reference, we calculated the KAM of 12 healthy participants and 12 patients with varus deformity and medial knee OA walking with/without a brace and at three speeds. The dGRV model divided the KAM into four components defined by the ground reaction force (GRF) and associated lever arms described with biomechanical factors related to gait modifications. The dGRV model predicted the KAM profile with a coefficient of multiple correlations of 0.98 ± 0.01. The main cause of increased KAM in the medial knee OA group, the second component (generated by the vertical GRF and mediolateral distance between the knee and ankle joint centers), was decreased by the brace in the healthy group. The first peak increased, and KAM impulse decreased with increasing velocity in both groups, while no significant change was observed in the second peak. The four-component dGRV model successfully estimated the KAM in all tested conditions. It explains why similar gait modifications produce different KAM reductions in subjects. Thus, more personalized gait rehabilitation, targeting elevated components, can be considered. Frontiers Media S.A. 2022-11-18 /pmc/articles/PMC9715598/ /pubmed/36466350 http://dx.doi.org/10.3389/fbioe.2022.1017711 Text en Copyright © 2022 Baniasad, Martin, Crevoisier, Pichonnaz, Becce and Aminian. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Baniasad, Mina
Martin, Robin
Crevoisier, Xavier
Pichonnaz, Claude
Becce, Fabio
Aminian, Kamiar
Knee adduction moment decomposition: Toward better clinical decision-making
title Knee adduction moment decomposition: Toward better clinical decision-making
title_full Knee adduction moment decomposition: Toward better clinical decision-making
title_fullStr Knee adduction moment decomposition: Toward better clinical decision-making
title_full_unstemmed Knee adduction moment decomposition: Toward better clinical decision-making
title_short Knee adduction moment decomposition: Toward better clinical decision-making
title_sort knee adduction moment decomposition: toward better clinical decision-making
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715598/
https://www.ncbi.nlm.nih.gov/pubmed/36466350
http://dx.doi.org/10.3389/fbioe.2022.1017711
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