Effect of Suboptimal Neuromuscular Control on the Risk of Massive Wear in Total Knee Replacement.
Finite element analyses
In silico methods
Neuromuscular control
Total knee replacements
Wear predictions
Journal
Annals of biomedical engineering
ISSN: 1573-9686
Titre abrégé: Ann Biomed Eng
Pays: United States
ID NLM: 0361512
Informations de publication
Date de publication:
Dec 2021
Dec 2021
Historique:
received:
30
01
2021
accepted:
12
05
2021
pubmed:
3
6
2021
medline:
22
3
2022
entrez:
2
6
2021
Statut:
ppublish
Résumé
The optimal neuromuscular control (muscle activation strategy that minimises the consumption of metabolic energy) during level walking is very close to that which minimises the force transmitted through the joints of the lower limbs. Thus, any suboptimal control involves an overloading of the joints. Some total knee replacement patients adopt suboptimal control strategies during level walking; this is particularly true for patients with co-morbidities that cause neuromotor control degeneration, such as Parkinson's Disease (PD). The increase of joint loading increases the risk of implant failure, as reported in one study in PD patients (5.44% of failures at 9 years follow-up). One failure mode that is directly affected by joint loading is massive wear of the prosthetic articular surface. In this study we used a validated patient-specific biomechanical model to estimate how a severely suboptimal control could increase the wear rate of total knee replacements. Whereas autopsy-retrieved implants from non-PD patients typically show average polyethylene wear of 17 mm
Identifiants
pubmed: 34076785
doi: 10.1007/s10439-021-02795-y
pii: 10.1007/s10439-021-02795-y
pmc: PMC8671275
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3349-3355Subventions
Organisme : H2020 Societal Challenges
ID : 101016503
Organisme : Horizon 2020 Framework Programme
ID : 823712
Informations de copyright
© 2021. The Author(s).
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