Knee adduction moment decomposition: Toward better clinical decision-making.
Details
Download: fbioe-10-1017711.pdf (2707.85 [Ko])
State: Public
Version: Final published version
License: All rights reserved
State: Public
Version: Final published version
License: All rights reserved
Serval ID
serval:BIB_53F2FA3A4111
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Knee adduction moment decomposition: Toward better clinical decision-making.
Journal
Frontiers in bioengineering and biotechnology
ISSN
2296-4185 (Print)
ISSN-L
2296-4185
Publication state
Published
Issued date
2022
Peer-reviewed
Oui
Volume
10
Pages
1017711
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Publication Status: epublish
Abstract
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.
Keywords
Biomedical Engineering, Histology, Bioengineering, Biotechnology, gait, ground reaction vector, inverse dynamics, kinetics, knee adduction moment, osteoarthritis, personalized treatment
Pubmed
Web of science
Open Access
Yes
Create date
02/12/2022 16:48
Last modification date
18/09/2023 5:57