The medial inclination of the proximal tibia is associated with the external knee adduction moment in advanced varus knee osteoarthritis

Author(s):  
Tomoharu Mochizuki ◽  
Go Omori ◽  
Katsutoshi Nishino ◽  
Masaei Tanaka ◽  
Osamu Tanifuji ◽  
...  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Chen. Huang ◽  
Ping-Keung. Chan ◽  
Kwong-Yuen. Chiu ◽  
Chun-Hoi. Yan ◽  
Shun-Shing. Yeung ◽  
...  

Abstract Background High biomechanical loading is believed to be a risk factor to pain in people with knee osteoarthritis (OA), but controversial findings have been reported on the relationship between external knee adduction moment (KAM) and pain. A more comprehensive analysis considering other factor such as external knee flexion moment (KFM) could help better reveal this relationship. This study explored the relationship between external knee adduction moment and pain intensity in participants with knee osteoarthritis (OA) using an integrated path analysis model. Methods This was a cross-sectional study based on laboratory setting. Forty-seven participants with clinical and radiographic medial knee OA were analyzed for their external knee adduction moment (KAM) and knee flexion moment (KFM) during walking using a motion analysis system. Pain intensity was measured by visual analogue scale (VAS) and the pain subscale of the Knee Injury and Osteoarthritis Outcome Score. Varus/valgus alignment was captured and quantified using a bi-planar X-ray system. Using a path analysis model, the relationships between pain intensity, KAM, KFM, OA radiographic severity, knee varus angle and walking speed were examined. Results The proposed path model met the goodness-of-fit criteria. Based on this model, KAM had a negative effect on VAS pain indirectly through the mediation of KFM. The model indicated KAM and KFM were negatively related to one another; and KFM was positively related to VAS. The KAM index, defined as (KAM/ (KAM + KFM)), was negatively related to VAS. Conclusions Path analysis enabled the construction of a more integrated pathokinematic framework for people with knee OA. The KAM index which reflected the load sharing on the frontal and sagittal planes also revealed its relationship with pain. Re-distribution of mechanical loading from frontal to sagittal plane might be a strategy for pain avoidance associated with mechanical irritation.


Author(s):  
Joseph Zeni ◽  
Jill Higginson

Progression of knee osteoarthritis (OA) has been shown to occur in the presence of an increased load at the medial compartment [1]. Current gait analysis techniques allow researchers to use inverse dynamic techniques to calculate external knee adduction moments. These moments correlate to varus knee stresses and increased load in the medial knee compartment. These abnormal stresses have been hypothesized to play a role in the destruction of articular cartilage [2]. Previous authors have suggested that walking velocity will affect the adduction moment and that decreasing walking speed may reduce the maximal knee external moment during gait [3]. Based on these previous findings, we investigated various walking speeds in subjects with mild, moderate and severe OA and the effect on the external knee adduction moment.


2014 ◽  
Vol 22 ◽  
pp. S125-S126
Author(s):  
W. Liu ◽  
J. Kovaleski ◽  
J. McCormick ◽  
R. Pearlman ◽  
A. Pearsall

Arthritis ◽  
2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
Jens Aaboe ◽  
Henning Bliddal ◽  
Tine Alkjaer ◽  
Mikael Boesen ◽  
Marius Henriksen

Objective. To investigate the relationship between knee muscle strength and the external knee adduction moment during walking in obese knee osteoarthritis patients and whether disease severity influences this relationship. Methods. This cross-sectional study included 136 elderly obese (BMI>30) adults with predominant medial knee osteoarthritis. Muscle strength, standing radiographic severity as measured by the Kellgren and Lawrence scale, and the peak external knee adduction moment were measured at self-selected walking speed. Results. According to radiographic severity, patients were classified as “less severe” (KL 1-2, N=73) or “severe” (KL 3-4, N=63). A significant positive association was demonstrated between the peak knee adduction moment and hamstring muscle strength in the whole cohort (P=.047). However, disease severity did not influence the relationship between muscle strength and dynamic medial knee joint loading. Severe patients had higher peak knee adduction moment and more varus malalignment (P<.001). Conclusion. Higher hamstring muscle strength relates to higher estimates of dynamic knee joint loading in the medial compartment. No such relationship existed for quadriceps muscle strength. Although cross sectional, the results suggest that hamstrings function should receive increased attention in future studies and treatments that aim at halting disease progression.


2016 ◽  
Vol 39 ◽  
pp. 109-114 ◽  
Author(s):  
Armaghan Mahmoudian ◽  
Jaap H. van Dieen ◽  
Sjoerd M. Bruijn ◽  
Isabel AC Baert ◽  
Gert S Faber ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1418
Author(s):  
Yu Iwama ◽  
Kengo Harato ◽  
Shu Kobayashi ◽  
Yasuo Niki ◽  
Naomichi Ogihara ◽  
...  

Although the external knee adduction moment (KAM) during gait was shown to be a quantitative parameter of medial knee osteoarthritis (OA), it requires expensive equipment and a dedicated large space to measure. Therefore, it becomes a major reason to limit KAM measurement in a clinical environment. The purpose of this study was to estimate KAM using a single inertial measurement unit (IMU) during gait in patients with knee OA. A total of 22 medial knee OA patients (44 knee joints) performed conventional gait analysis using three-dimensional (3D) motion capture system. At the same time, we attached commercial IMUs to six body segments (sternum, pelvis, both thighs, and both shanks), and IMU signals during gait were recorded synchronized with the motion capture system. The peak-to-peak difference of acceleration in the lateral/medial axis immediately after heel contact was defined as the thrust acceleration (TA). We hypothesized that TA would represent the lateral thrust of the knee during the stance phase and correlate with the first peak of KAM. The relationship between the peak KAM and TA of pelvis (R = 0.52, p < 0.001), shanks (R = 0.57, p < 0.001) and thighs (R = 0.49, p = 0.001) showed a significant correlation. The root mean square error (RMSE) of linear regression models of pelvis, shanks, and thighs to estimate KAM were 0.082, 0.079, and 0.084 Nm/(kg·m), respectively. Our newly established parameter TA showed a moderate correlation with conventional KAM. The current study confirmed our hypothesis that a single IMU would predict conventional KAM during gait. Since KAM is known as an indicator for prognosis and severity of knee OA, this new parameter has the potential to become an accessible predictor for medial knee OA instead of KAM.


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