Predicting knee osteoarthritis

B.S. Gardiner; F.G. Woodhouse; T.F. Besier; A.J. Grodzinsky; D.G. Lloyd; L. Zhang; D.W. Smith

doi:10.1007/s10439-015-1393-5

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Journal article

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Peer reviewed

Predicting knee osteoarthritis

B.S. Gardiner, F.G. Woodhouse, T.F. Besier, A.J. Grodzinsky, D.G. Lloyd, L. Zhang and D.W. Smith

Annals of Biomedical Engineering, Vol.44(1), pp.222-233

2015

DOI: https://doi.org/10.1007/s10439-015-1393-5

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Abstract

Treatment options for osteoarthritis (OA) beyond pain relief or total knee replacement are very limited. Because of this, attention has shifted to identifying which factors increase the risk of OA in vulnerable populations in order to be able to give recommendations to delay disease onset or to slow disease progression. The gold standard is then to use principles of risk management, first to provide subject-specific estimates of risk and then to find ways of reducing that risk. Population studies of OA risk based on statistical associations do not provide such individually tailored information. Here we argue that mechanistic models of cartilage tissue maintenance and damage coupled to statistical models incorporating model uncertainty, united within the framework of structural reliability analysis, provide an avenue for bridging the disciplines of epidemiology, cell biology, genetics and biomechanics. Such models promise subject-specific OA risk assessment and personalized strategies for mitigating or even avoiding OA. We illustrate the proposed approach with a simple model of cartilage extracellular matrix synthesis and loss regulated by daily physical activity.

Details

Title: Predicting knee osteoarthritis
Authors/Creators: B.S. Gardiner (Author/Creator) - Murdoch University
F.G. Woodhouse (Author/Creator) - The University of Western Australia
T.F. Besier (Author/Creator) - University of Auckland
A.J. Grodzinsky (Author/Creator) - Massachusetts Institute of Technology
D.G. Lloyd (Author/Creator) - Griffith University
L. Zhang (Author/Creator) - The University of Melbourne
D.W. Smith (Author/Creator) - The University of Western Australia
Publication Details: Annals of Biomedical Engineering, Vol.44(1), pp.222-233
Publisher: Springer
Identifiers: 991005543112307891
Copyright: 2015 Biomedical Engineering Society
Murdoch Affiliation: School of Engineering and Information Technology
Language: English
Resource Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Citation topics: 1 Clinical & Life Sciences; 1.34 Orthopedics; 1.34.255 Osteoarthritis
Web Of Science research areas: Engineering, Biomedical
ESI research areas: Molecular Biology & Genetics