Quantification of joint alignment and stability during a single leg stance task in a knee osteoarthritis cohort

Background: Knee osteoarthritis alters joint stability but its kinematics during functional weight bearing tasks remain unclear. We propose and validate an assessment technique for the quantification of knee alignment and stability in patients during a short single leg stance task. Methods: Three-dimensional knee kinematics were acquired non-invasively from 31 knee osteoarthritis patients (subdivided as moderate or severe) and 15 asymptomatic individuals during six short single-leg stance tasks. Data of participants achieving t >= 3 rials were retained. From flexion-extension signals, a data treatment method compared the average between-trial root-mean-square error (RMSE) across trial triplets, and the average within-trial range of movement (RoM) for two data windows. From secondary knee motions (ab/adduction and int/external rotations, anteroposterior and mediolateral translations), we extracted measures characterizing alignments (mean), largest deviations (maximum, minimum), and extent of micro-adjustments (RoM, length of knee excursion). Their sensitivity to disease and severity was determined using an ANOVA, and between-trial repeatability using ICC2,3. Results: Ninety-four percent of patients achieved >= 3 trials. The retained trial triplet and window reduced the RMSE (2.15 to 1.54) and RoM (4.9 degrees to 1.77 degrees) for flexion-extension. Mean, minimum, and maximum measures were sensitive to disease for anteroposterior translations, and to severity for ab/ adduction (P < 0.05). High repeatability was found for those measures (ICC >= 0.84). RoM and length of knee excursion, although sensitive to disease for anteroposterior translations, had lower ICC. Conclusion: The proposed technique is feasible and exposed measures of knee alignment sensitive to knee osteoarthritis, for instance, an anterior femoral shift and an increased adduction malalignment with greater severity. (C) 2018 Elsevier B.V. All rights reserved.