and Canadian Orthopaedic Research Society [PDF]

Ryan M Degen, ON; Andrew Carbone, US; Camilla Carballo, US; Jianchun Zong, US; Tony Chen, US; Amir. Lebaschi, US; Liang

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Idea Transcript


Canadian Orthopaedic Association (COA) and Canadian Orthopaedic Research Society (CORS) Annual Meeting Abstract Supplement June 16 – 19, 2016 Quebec City, Quebec ***** Paper Session: CORS Arthroplasty 1 - Gait Function after Total Knee Arthroplasty Remains Distinct from Asymptomatic Jereme Outerleys, NS; Michael Dunbar, NS; Glen Richardson, NS; Cheryl Kozey, NS; Janie Wilson, NS Purpose: Total knee arthroplasty (TKA) has been shown to improve knee joint function during gait postoperatively. However, there is considerable patient to patient variability, with most gait mechanics metrics not reaching asymptomatic levels. To understand how to target functional improvements with TKA, it is important to identify an optimal set of functional metrics that remain deficient post-TKA. The purpose of this study was to identify which combination of knee joint kinematics and kinetics during gait best discriminate pre-operative gait from postoperative gait, as well as post-operative from asymptomatic. Method: Seventy-three patients scheduled to receive a TKA for severe knee osteoarthritis underwent 3D gait analysis 1 week before and 1 year after surgery. Sixty asymptomatic individuals also underwent analysis. Eleven discrete gait parameters were extracted from the gait kinematic and kinetic waveforms, as previously defined (Astephen et al., J Orthop Res., 2008). Stepwise linear discriminant analyses were used to determine the sets of parameters that optimally separated pre-operative from post-operative gait, and post-operative from asymptomatic gait. Cross-validation was used to quantify group classification error. Results: Knee flexion angle range, knee adduction moment first peak, and gait velocity were included in the optimal discriminant function between the pre- and post-operative groups (P

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