A multivariate relationship between the kinematic and clinical parameters of knee osteoarthritis population

Abstract

Background Biomechanical and clinical parameters contribute very closely to functional evaluations of the knee joint. To better understand knee osteoarthritis joint function, the association between a set of knee biomechanical data and a set of clinical parameters of an osteoarthritis population (OA) is investigated in this study. Methods The biomechanical data used here are a set of characteristics derived from 3D knee kinematic patterns: flexion/extension, abduction/adduction, and tibial internal/external rotation measurements, all determined during gait recording. The clinical parameters include a KOOS questionnaire and the patient’s demographic characteristics. Canonical correlation analysis (CCA) is used (1) to evaluate the multivariate relationship between biomechanical data and clinical parameter sets, and (2) to cluster the most correlated parameters. Multivariate models were created within the identified clusters to determine the effect of each parameter’s subset on the other. The analyses were performed on a large database containing 166 OA patients. Results The CCA results showed meaningful correlations that gave rise to three different clusters. Multivariate linear models were found explaining the subjective clinical parameters by evaluating the biomechanical data contained within each cluster. Conclusion The results showed that a multivariate analysis of the clinical symptoms and the biomechanical characteristics of knee joint function allowed a better understanding of their relationships.

3D Kinematics and Decision Trees to Predict the Impact of a Physical Exercise Program on Knee Osteoarthritis Patients

“…Patient improvement was determined based on the KOOS questionnaire. Based on a literature review and a preliminary study [21], the KOOS pain subscale was identified as the most representative score and therefore its variation between baseline and 6 months was used to determine whether a patient's condition improved (Class I) or not (Class nI). A growing consensus in the knee OA literature suggests that identifying a single threshold to define a meaningful change in the KOOS pain score across varying OA severity and followup periods is problematic [22,23].…”

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

“…Only a few studies on gait in hip OA reported data for the ankle or knee. Of these, some reported no significant differences in knee ROM [ 6 ], while others described a reduction in knee flexion ROM [ 22 , 27 , 36 , 40 , 44 , 45 ] and greater [ 6 , 22 , 45 ] or comparable [ 27 ] peak ankle dorsiflexion in the affected leg in patients with hip OA compared to controls.…”

A Combined Visualization Method for Multivariate Data Analysis. Application to Knee Kinematic and Clinical Parameters Relationships

“…The analysis of correlation between kinematic features of gait waveform data and clinical parameters has been, basically, done using a univariate correlation analysis [9][10][11][12]. The later investigate the relationship between a pair of two variables individually, which could occult important correlation as shown in our previous study [16]. CCA belongs to the family of exploratory analysis and allows investigation of the (simultaneous) relationship between two sets of variables.…”

“…3 of 13 observed on the same individual. The CCA is currently used in some disciplines such as ecology [18,19], biology [20,21], hydrology [22,23], and health [16].…”