scholarly journals Peer Review #2 of "Medial knee joint contact force in the intact limb during walking in recently ambulatory service members with unilateral limb loss: a cross-sectional study (v0.1)"

2017 ◽  
Keyword(s):  
Knee Joint ◽  
Peer Review ◽  
Contact Force ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Medial Knee ◽  
Joint Contact Force ◽  
Joint Contact ◽  
Intact Limb

scholarly journals Medial knee joint contact force in the intact limb during walking in recently ambulatory service members with unilateral limb loss: a cross-sectional study

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e2960 ◽  
Author(s):  
Ross H. Miller ◽  
Rebecca L. Krupenevich ◽  
Alison L. Pruziner ◽  
Erik J. Wolf ◽  
Barri L. Schnall
Keyword(s):  
Knee Joint ◽  
Limb Loss ◽  
Service Members ◽  
Model Parameters ◽  
Joint Loading ◽  
Cross Sectional ◽  
Medial Knee ◽  
Knee Oa ◽  
Joint Contact ◽  
Intact Limb

BackgroundIndividuals with unilateral lower limb amputation have a high risk of developing knee osteoarthritis (OA) in their intact limb as they age. This risk may be related to joint loading experienced earlier in life. We hypothesized that loading during walking would be greater in the intact limb of young US military service members with limb loss than in controls with no limb loss.MethodsCross-sectional instrumented gait analysis at self-selected walking speeds with a limb loss group (N = 10, age 27 ± 5 years, 170 ± 36 days since last surgery) including five service members with transtibial limb loss and five with transfemoral limb loss, all walking independently with their first prosthesis for approximately two months. Controls (N = 10, age 30 ± 4 years) were service members with no overt demographical risk factors for knee OA. 3D inverse dynamics modeling was performed to calculate joint moments and medial knee joint contact forces (JCF) were calculated using a reduction-based musculoskeletal modeling method and expressed relative to body weight (BW).ResultsPeak JCF and maximum JCF loading rate were significantly greater in limb loss (184% BW, 2,469% BW/s) vs. controls (157% BW, 1,985% BW/s), with large effect sizes. Results were robust to probabilistic perturbations to the knee model parameters.DiscussionAssuming these data are reflective of joint loading experienced in daily life, they support a “mechanical overloading” hypothesis for the risk of developing knee OA in the intact limb of limb loss subjects. Examination of the evolution of gait mechanics, joint loading, and joint health over time, as well as interventions to reduce load or strengthen the ability of the joint to withstand loads, is warranted.

Prediction of Knee Joint Contact Forces From External Measures Using Principal Component Prediction and Reconstruction

2018 ◽  
Vol 34 (5) ◽  
pp. 419-423 ◽  
Author(s):  
Christopher M. Saliba ◽  
Allison L. Clouthier ◽  
Scott C.E. Brandon ◽  
Michael J. Rainbow ◽  
Kevin J. Deluzio
Keyword(s):  
Knee Joint ◽  
Knee Osteoarthritis ◽  
Real Time ◽  
Contact Force ◽  
Haptic Feedback ◽  
Principal Component ◽  
Contact Forces ◽  
Statistical Regression ◽  
Joint Contact Force ◽  
Joint Contact

Abnormal loading of the knee joint contributes to the pathogenesis of knee osteoarthritis. Gait retraining is a noninvasive intervention that aims to reduce knee loads by providing audible, visual, or haptic feedback of gait parameters. The computational expense of joint contact force prediction has limited real-time feedback to surrogate measures of the contact force, such as the knee adduction moment. We developed a method to predict knee joint contact forces using motion analysis and a statistical regression model that can be implemented in near real-time. Gait waveform variables were deconstructed using principal component analysis, and a linear regression was used to predict the principal component scores of the contact force waveforms. Knee joint contact force waveforms were reconstructed using the predicted scores. We tested our method using a heterogenous population of asymptomatic controls and subjects with knee osteoarthritis. The reconstructed contact force waveforms had mean (SD) root mean square differences of 0.17 (0.05) bodyweight compared with the contact forces predicted by a musculoskeletal model. Our method successfully predicted subject-specific shape features of contact force waveforms and is a potentially powerful tool in biofeedback and clinical gait analysis.

The associations between quadriceps muscle strength, power, and knee joint mechanics in knee osteoarthritis: A cross-sectional study

2015 ◽  
Vol 30 (10) ◽  
pp. 1140-1145 ◽  
Author(s):  
Amanda M. Murray ◽  
Abbey C. Thomas ◽  
Charles W. Armstrong ◽  
Brian G. Pietrosimone ◽  
Michael A. Tevald
Keyword(s):  
Muscle Strength ◽  
Knee Joint ◽  
Knee Osteoarthritis ◽  
Quadriceps Muscle ◽  
Cross Sectional Study ◽  
Joint Mechanics ◽  
Sectional Study ◽  
Cross Sectional ◽  
Quadriceps Muscle Strength ◽  
Knee Joint Mechanics
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