Side to side kinematic gait differences within patients and spatiotemporal and kinematic gait differences between patients with severe knee osteoarthritis and controls measured with inertial sensors

Ismailidis, Petros; Hegglin, Lea; Egloff, Christian; Pagenstert, Geert; Kernen, Rolf; Eckardt, Anke; Ilchmann, Thomas; Nüesch, Corina

doi:10.1016/j.gaitpost.2020.11.015

Cited by 29 publications

(31 citation statements)

References 27 publications

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“…Surprisingly, few studies have investigated kinematic differences at the ankle or hip between patients with knee OA and controls [ 16 , 27 , 41 , 42 ]. While some studies found no difference in ankle or hip kinematics between patients with knee OA, others reported smaller ankle ROM, greater ankle dorsiflexion or lower peak hip extension in patients with severe knee OA [ 21 , 27 , 39 , 42 ].…”

Section: Discussionmentioning

confidence: 99%

“…Of these, 29 had unilateral knee OA and were scheduled to undergo total knee arthroplasty, 30 had unilateral hip OA and were scheduled total hip arthroplasty, and 54 were age-matched asymptomatic persons ( Table 1 ). Subsets of data have been published previously in studies focusing on differences in gait kinematics between limbs in patients with knee OA and compared to healthy controls [ 21 , 23 ] and on differences in gait kinematics between limbs in patients with hip OA and compared to healthy controls [ 22 , 24 ]. For the current analysis, we expanded all groups of participants and focused on detecting differences in joint kinematics between patients with knee OA and patients with hip OA.…”

Section: Methodsmentioning

confidence: 99%

“…The required number of subjects was calculated based on group differences in discrete parameters reported in the literature [ 16 , 37 ] and based on previous comparisons between patients with knee OA [ 21 ] or patients with hip OA [ 22 ] versus asymptomatic controls. Sample size estimation revealed that 14 participants were required to detect an expected difference in knee ROM with an effect size of at least 1.12 with 80% power at a 5% significance level.…”

Section: Methodsmentioning

confidence: 99%

“…For instance, for patients with knee OA, differences in stride duration, knee flexion range of motion (ROM) in swing and stance have been assessed using the GaitWalk system [18], kinematic differences at the hip, knee and ankle in the sagittal plane using the H-Gait system [19], and thigh and shank sagittal and coronal, knee sagittal kinematics as well as temporal gait parameters using the GaitSmart TM system [20]. In a series of studies, Ismailidis et al have shown that known differences in joint kinematics between patients with knee OA [21] or patients with hip OA [22] and healthy controls can be measured using the RehaGait ® system, reported kinematic differences not only for the index joint but also to adjacent joints, and confirmed that some of these differences depend on walking speed [23,24].…”

Section: Introductionmentioning

confidence: 99%

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Assessing Site Specificity of Osteoarthritic Gait Kinematics with Wearable Sensors and Their Association with Patient Reported Outcome Measures (PROMs): Knee versus Hip Osteoarthritis

Nüesch

Ismailidis

Koch

et al. 2021

Sensors

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There is a great need for quantitative outcomes reflecting the functional status in patients with knee or hip osteoarthritis (OA) to advance the development and investigation of interventions for OA. The purpose of this study was to determine if gait kinematics specific to the disease—i.e., knee versus hip OA—can be identified using wearable sensors and statistical parametric mapping (SPM) and whether disease-related gait deviations are associated with patient reported outcome measures. 113 participants (N = 29 unilateral knee OA; N = 30 unilateral hip OA; N = 54 age-matched asymptomatic persons) completed gait analysis with wearable sensors and the Knee/Hip Osteoarthritis Outcome Score (KOOS/HOOS). Data were analyzed using SPM. Knee and hip kinematics differed between patients with knee OA and patients with hip OA (up to 14°, p < 0.001 for knee and 8°, p = 0.003 for hip kinematics), and differences from controls were more pronounced in the affected than unaffected leg of patients. The observed deviations in ankle, knee and hip kinematic trajectories from controls were associated with KOOS/HOOS in both groups. Capturing gait kinematics using wearables has a large potential for application as outcome in clinical trials and for monitoring treatment success in patients with knee or hip OA and in large cohorts representing a major advancement in research on musculoskeletal diseases.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessing Site Specificity of Osteoarthritic Gait Kinematics with Wearable Sensors and Their Association with Patient Reported Outcome Measures (PROMs): Knee versus Hip Osteoarthritis

Nüesch

Ismailidis

Koch

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

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“…This means that side differentiation (lateralization), which is typically observed as complete at school age, may also be observed in gait patterns. Since the asymmetry in gait is usually analyzed in the case of orthopaedical or neurological injury, this kind of asymmetry shows biomechanical disturbance instead of normal gait [ 23 , 24 ]. This topic, for typically developed children, should be investigated more carefully in future research.…”

Section: Discussionmentioning

confidence: 99%

Gait Parameters in Healthy Preschool and School Children Assessed Using Wireless Inertial Sensor

Gieysztor

Kowal

Paprocka−Borowicz

2021

Sensors

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Background: The objective gait assessment in children has become more popular. Basis parameters for comparison during the examination are advisable. Objectives: The study aim was to investigate the typical gait parameters of healthy preschool and school children, using a wireless inertial sensor as the reference for atypical gait. The additional aim was to compare the specific gait parameters in the younger and older group of children. Methods: One hundred and sixty-one children’s gait parameters were evaluated by a G-Walk BTS G-SENSOR smart analyzer. The children were walking barefoot, at a self-selected speed, on a five-meter walkway, and they turned around and go back twice. Results: Age significantly influences most of the spatiotemporal parameters. The support phase becomes shorter with age. Accordingly, the swing phase becomes longer with age. The results also show that older children need shorter double support and have longer single support. Moreover, the pelvic tilt symmetry index is higher with increasing age. In each age division, the smallest variation in all gait parameters within the oldest group of examined children was observed. A comparison between the left and right side gait parameters shows the higher difference in boys than in girls. A significant difference was calculated in the pelvic obliquity symmetry index. Girls had significantly more symmetrical obliquity than boys. Conclusions: the research indicates the basic parameters of typical children’s gait, which may be a reference to atypical gait in the case of trauma or disability.

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Maximal daily stepping cadence partially explains functional capacity of individuals with end‐stage knee osteoarthritis

Hoffman,

Davis‐Wilson,

Hanlon

et al. 2023

PM&R

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IntroductionIndividuals with end‐stage knee osteoarthritis (OA) walk at a lower intensity (i.e., slower step cadence) contributing to worse physical function. Previous literature reports daily step counts and sedentary time, with little information regarding stepping bouts or cadence. Determining relationships between daily higher stepping cadence duration and clinical outcomes can move the field towards optimal daily stepping prescription.ObjectiveTo quantify daily physical activity patterns of individuals with end‐stage knee OA and determine the contribution of high stepping cadence to explain functional capacity variability.DesignCross‐sectional analysis.SettingVeterans Administration Medical Center.ParticipantsUS Military Veterans (n= 104; age: 67.1 [7.2]; mean [SD]; male (89.3%)) with end‐stage knee OA were enrolled.InterventionNot applicableMain outcome measureFunctional capacity (6‐Minute Walk Test (6MWT)). Physical activity (activPAL wearable sensor; cadence and time sitting, standing, and stepping),), pain (Western Ontario and McMaster Universities Osteoarthritis Index‐pain subscale) sociodemographic variables, and comorbidities (Body Mass Index and Functional Comorbidity Index) are the main explanatory variables.ResultsParticipants’ wake time was mainly sitting (11.0 hrs/day) in > 60‐minute bouts (29.7% + 12.7 of sitting time). Standing (3.4 hrs/day) and stepping (1.4 hrs/day) primarily occurred in 0‐5 minute bouts (standing: 87.7% + 14.4 of standing time, stepping: 98.7% + 12.7 of stepping time) and stepping cadence was predominately incidental (1‐19 spm; 52.9% + 9.6 of total stepping time). Backward elimination model results indicated shorter medium‐to‐brisk cadence bout duration, older age, and higher pain significantly explained shorter 6MWT distance (AdjR2=0.24, P<0.01).ConclusionsIndividuals with knee OA spend most of their waking hours sitting while standing and stepping in short bouts at very low stepping cadence. Decreased time in high stepping cadence is associated with lower functional capacity. Future studies should explore if increasing the daily time spent in higher step cadence can improve functional capacity in this population.This article is protected by copyright. All rights reserved.

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Side to side kinematic gait differences within patients and spatiotemporal and kinematic gait differences between patients with severe knee osteoarthritis and controls measured with inertial sensors

Cited by 29 publications

References 27 publications

Assessing Site Specificity of Osteoarthritic Gait Kinematics with Wearable Sensors and Their Association with Patient Reported Outcome Measures (PROMs): Knee versus Hip Osteoarthritis

Assessing Site Specificity of Osteoarthritic Gait Kinematics with Wearable Sensors and Their Association with Patient Reported Outcome Measures (PROMs): Knee versus Hip Osteoarthritis

Gait Parameters in Healthy Preschool and School Children Assessed Using Wireless Inertial Sensor

Maximal daily stepping cadence partially explains functional capacity of individuals with end‐stage knee osteoarthritis

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