Diverse parameters of ambulatory knee moments differ with medial knee osteoarthritis severity and are combinable into a severity index.

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Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_C2EDE08339AA
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Diverse parameters of ambulatory knee moments differ with medial knee osteoarthritis severity and are combinable into a severity index.
Journal
Frontiers in bioengineering and biotechnology
Author(s)
Ulrich B., Erhart-Hledik J.C., Asay J.L., Omoumi P., Andriacchi T.P., Jolles B.M. (co-last), Favre J. (co-last)
ISSN
2296-4185 (Print)
ISSN-L
2296-4185
Publication state
Published
Issued date
2023
Peer-reviewed
Oui
Volume
11
Pages
1176471
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
Objective: To characterize ambulatory knee moments with respect to medial knee osteoarthritis (OA) severity comprehensively and to assess the possibility of developing a severity index combining knee moment parameters. Methods: Nine parameters (peak amplitudes) commonly used to quantify three-dimensional knee moments during walking were analyzed for 98 individuals (58.7 ± 9.2 years old, 1.69 ± 0.09 m, 76.9 ± 14.5 kg, 56% female), corresponding to three medial knee osteoarthritis severity groups: non-osteoarthritis (n = 22), mild osteoarthritis (n = 38) and severe osteoarthritis (n = 38). Multinomial logistic regression was used to create a severity index. Comparison and regression analyses were performed with respect to disease severity. Results: Six of the nine moment parameters differed statistically significantly among severity groups (p ≤ 0.039) and five reported statistically significant correlation with disease severity (0.23 ≤ |r| ≤ 0.59). The proposed severity index was highly reliable (ICC = 0.96) and statistically significantly different between the three groups (p < 0.001) as well as correlated with disease severity (r = 0.70). Conclusion: While medial knee osteoarthritis research has mostly focused on a few knee moment parameters, this study showed that other parameters differ with disease severity. In particular, it shed light on three parameters frequently disregarded in prior works. Another important finding is the possibility of combining the parameters into a severity index, which opens promising perspectives based on a single figure assessing the knee moments in their entirety. Although the proposed index was shown to be reliable and associated with disease severity, further research will be necessary particularly to assess its validity.
Keywords
Biomedical Engineering, Histology, Bioengineering, Biotechnology, biomechanics, gait analysis, kinetics, knee adduction moment, knee flexion moment, machine learning
Pubmed
Web of science
Open Access
Yes
Funding(s)
Swiss National Science Foundation
Create date
15/06/2023 18:43
Last modification date
21/01/2024 7:14
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