Muscle compensation strategies to maintain glenohumeral joint stability with increased rotator cuff tear severity: A simulation study.


Journal

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
ISSN: 1873-5711
Titre abrégé: J Electromyogr Kinesiol
Pays: England
ID NLM: 9109125

Informations de publication

Date de publication:
Feb 2022
Historique:
received: 15 12 2018
revised: 24 06 2019
accepted: 08 07 2019
pubmed: 22 7 2019
medline: 27 1 2022
entrez: 21 7 2019
Statut: ppublish

Résumé

Rotator cuff tear (RCT) in older adults may cause decreased muscle forces and disrupt the force balance at the glenohumeral joint, compromising joint stability. Our objective was to identify how increased RCT severity affects glenohumeral joint loading and muscle activation patterns using a computational model. Muscle volume measurements were used to scale a nominal upper limb model's peak isometric muscle forces to represent force-generating characteristics of an average older adult male. Increased RCT severity was represented by systematically decreasing peak isometric muscle forces of supraspinatus, infraspinatus, and subscapularis. Five static postures in both scapular and frontal planes were evaluated. Results revealed that in both scapular and frontal planes, the peak glenohumeral joint contact force magnitude remained relatively consistent across increased RCT severity (average 1.5% and -4.2% change, respectively), and a relative balance of the transverse force couple is maintained even in massive RCT models. Predicted muscle activations of intact muscles, like teres minor, increased (average 5-30% and 4-17% in scapular and frontal planes, respectively) with greater RCT severity. This suggests that the system is prioritizing glenohumeral joint stability, even with severe RCT, and that unaffected muscles play a compensatory role to help stabilize the joint.

Identifiants

pubmed: 31324511
pii: S1050-6411(18)30516-9
doi: 10.1016/j.jelekin.2019.07.005
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102335

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Sujata Khandare (S)

Biomedical Engineering, Pennsylvania State University, University Park, PA, USA.

Richard A Arce (RA)

College of Health Solutions, Arizona State University, Phoenix, AZ, USA.

Meghan E Vidt (ME)

Biomedical Engineering, Pennsylvania State University, University Park, PA, USA; Physical Medicine & Rehabilitation, Penn State College of Medicine, Hershey, PA, USA. Electronic address: mzv130@psu.edu.

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Classifications MeSH