Speed, age, sex, and body mass index provide a rigorous basis for comparing the kinematic and kinetic profiles of the lower extremity during walking

Chehab, Eric F.; Andriacchi, Thomas P.; Favre, Julien

doi:10.1016/j.jbiomech.2017.04.014

Cited by 110 publications

(111 citation statements)

References 45 publications

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“…A static trial was collected to obtain the anatomical reference frames, and inverse dynamics were used to calculate the moments . The BioMove software (Stanford University, Stanford, CA) was used to calculate normalized knee joint moments during the stance phase of gait . Moments extracted included the knee adduction moment (KAM), knee flexion moment (KFM), and the knee rotational moment (KRM).…”

Section: Methodsmentioning

confidence: 99%

Changes in the total knee joint moment in patients with medial compartment knee osteoarthritis over 5 years

Asay

Erhart‐Hledik

Andriacchi

2018

Journal Orthopaedic Research

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Progression of medial compartment knee osteoarthritis (OA) has been associated with repetitive mechanical loading during walking, often characterized by the peak knee adduction (KAM) and knee flexion moments (KFM). However, the relative contributions of these components to the knee total joint moment (TJM) can change as the disease progresses since KAM and KFM are influenced by different factors that change over time. This study tested the hypothesis that the relative contributions of KAM, KFM, and the rotational moment (KRM) to the TJM change over time in subjects with medial compartment knee OA. Patients with medial compartment knee OA (n = 19) were tested walking at their self-selected speed at baseline and a 5-year follow-up. For each frame during stance, the TJM was calculated using the KAM, KFM, and KRM. The peaks of the TJM and the relative contributions of the moment components at the time of the peaks of the TJM were tested for changes between baseline and follow-up. The percent contribution of KFM to the first peak of the TJM (TJM1) significantly decreased (p < 0.001) and the percent contribution of KAM to TJM1 significantly increased (p < 0.001), while the magnitude of the TJM1 did not significantly change over the 5-year follow-up. These gait changes with disease progression appear to maintain a constant TJM1, but the transition from a KFM to a KAM dominance appears to reflect gait changes associated with progressing OA and pain. Thus, the TJM and its component analysis captures a comprehensive metric for total loading on the knee over time. Published 2018. This article is a U.S. Government work and is in the public domain in the USA. 36:2373-2379, 2018.

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Section: Methodsmentioning

confidence: 99%

Changes in the total knee joint moment in patients with medial compartment knee osteoarthritis over 5 years

Asay

Erhart‐Hledik

Andriacchi

2018

Journal Orthopaedic Research

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“…Subjects in the present study were healthy-young adults that were generally fit with a healthy body mass index (BMI 24.2 ± 3.4), which may not be representative of clinical populations. While it is expected that soft-tissue artifact increases with excess tissue [47] and high-impact activities, constrained-kinematic models appear to be well suited to minimize such effects. Joint kinematics are sensitive to joint-axis location and orientation [48,49], which may be affected when scaling generic musculoskeletal models to subject-specific anthropometry.…”

Section: Discussionmentioning

confidence: 99%

The Impact Of Thigh And Shank Marker Quantity On Lower Extremity Kinematics Using A Constrained Model

Slater

Hullfish

Baxter

2018

Preprint

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Musculoskeletal models are commonly used to quantify joint motions and loads during human motion. Constraining joint kinematics simplifies these models but the implications of the number of markers used during data acquisition remains unclear. The purpose of this study was to establish the effects of marker placement and quantity on kinematic fidelity when using a constrained-kinematic model. We hypothesized that a constrained-kinematic model would faithfully reproduce lower extremity kinematics regardless of the number of tracking markers removed from the thigh and shank. Healthy-young adults (N = 10) walked on a treadmill at slow, moderate, and fast speeds while skin-mounted markers were tracked using motion capture. Lower extremity kinematics were calculated for 256 combinations of leg and shank markers to establish the implications of marker placement and quantity on joint kinematics. Sagittal joint and hip coronal kinematics errors were smaller than documented errors caused by soft-tissue artifact, which tends to be approximately 5 degrees, when excluding thigh and shank markers. Joint angle and center kinematic errors negatively correlated with the number of markers included in the analyses (R 2 > 0.97) and typically showed the greatest error reductions when two markers were included. Further, we demonstrated that a simplified marker set that included markers on the pelvis, lateral knee condyle, lateral malleolus, and shoes produced kinematics that strongly agreed with the traditional marker set. In conclusion, constrained-kinematic models are resilient to marker placement and quantity, which has implications on study design and post-processing workflows.

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“…Further research is needed to explore if sex‐specific differences exist in gait patterns based on radiographic disease patterns. Lastly, gait speed can influence biomechanical features . For example, the amplitude of knee adduction moment is increased with faster walking speed.…”

Section: Discussionmentioning

confidence: 99%

Gait patterns, symptoms, and function in patients with isolated tibiofemoral osteoarthritis and combined tibiofemoral and patellofemoral osteoarthritis

Hart

Crossley

Hunt

2017

Journal Orthopaedic Research

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The purpose of this study was to compare hip and knee biomechanics during walking in individuals with isolated tibiofemoral osteoarthritis (TFOA), combined TFOA and patellofemoral osteoarthritis (PFOA), and those without knee osteoarthritis (OA), and to compare patient-reported symptoms and function in individuals with isolated TFOA and those with combined TFOA and PFOA. Participants with and without knee OA were assessed and categorized into (i) no OA, (ii) isolated TFOA, and (iii) combined TFOA and PFOA, based on Kellgren and Lawrence diagnostic criteria. Quantitative motion analyses were conducted during walking, and hip and knee kinematics, and external moments were calculated. Peak values in the sagittal and frontal planes during stance phase were computed. Patient-reported symptoms and function data were obtained using the Western Ontario McMaster Universities Arthritis Index. Multivariate analyses of variance were conducted to compare between-group differences in gait and patient-reported symptoms and function data. The results showed no statistically significant differences in hip and knee kinematics and external moments between the three groups. Relative to those with isolated TFOA, individuals with combined TFOA and PFOA had greater pain (mean difference [95%CI]: 1.5 [0.05-3.1]), stiffness (0.8 [0.02-1.5]), and poorer function (5.4 [0.2-10.7]). In conclusion, the combined TFOA and PFOA radiographic disease pattern is associated with worse pain and function compared to the isolated TFOA disease pattern. The results of the present study provide no indications that treatments designed to change walking biomechanics should differ between individuals with isolated TFOA and those with combined TFOA and PFOA. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:1666-1672, 2018.

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Speed, age, sex, and body mass index provide a rigorous basis for comparing the kinematic and kinetic profiles of the lower extremity during walking

Cited by 110 publications

References 45 publications

Changes in the total knee joint moment in patients with medial compartment knee osteoarthritis over 5 years

Changes in the total knee joint moment in patients with medial compartment knee osteoarthritis over 5 years

The Impact Of Thigh And Shank Marker Quantity On Lower Extremity Kinematics Using A Constrained Model

Gait patterns, symptoms, and function in patients with isolated tibiofemoral osteoarthritis and combined tibiofemoral and patellofemoral osteoarthritis

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