Background - Unicompartmental knee arthroplasty (UKA) is an effective treatment for patients with medial osteoarthritis of the knee joint. Instrumented gait analysis provides an objective measure to quantify and qualify postoperative changes of gait. The purpose of this study was to evaluate standardized instrumented gait analysis for functional recovery and gait as an outcome of mobile-bearing UKA in patients with medial osteoarthritis of the knee. - Methods - Twenty-one patients with isolated medial osteoarthritis of the knee joint received mobile-bearing UKA. They were examined by a gait analysis before surgery and after an average follow-up time of seven months. Gait analysis was performed on a treadmill with six infrared-cameras to identify changes of gait characteristics (e.g., velocity, stride time, stride length, knee adduction and hip abduction). - Results - Mean velocity (chosen by individuals) increased from 0.61 to 0.76m/s and further significant advancements, particularly in the knee adduction and the hip abduction were detected. Time and length of strides improved significantly as well as the clinical scores American Knee Society Score (AKSS), Oxford-12, Hannover Functional Ability Questionnaire for Osteoarthritis (FFbH-OA) Score and Devane Score. - Conclusion - Mobile-bearing UKA can restore physiological axis of the leg and improve gait and function of the knee joint. The combination of instrumented gait analysis with clinical scores constitutes an eligible measuring instrument to quantify and qualify changes in patients' gait patterns.
The knee Amsterdam [u.a.] : Elsevier Science, 1994 2(2018), 3, Seite 392-397 Online-Ressource
von Konstantin Horas ; Lukas Fraissler ; Gerrit Steffen Maier ; Franz Jakob ; Lothar Seefried ; Christian Konrads ; Maximilian Rudert ; Matthias Walcher
von Konstantin Horas ; Gerrit Steffen Maier ; Franz Jakob ; Uwe Martin Maus ; Andreas Kurth ; Axel Jakuscheit ; Maximilian Rudert ; Boris Michael Holzapfel
von Gerrit Steffen Maier ; Andreas Alois Kurth ; Konstantin Horas ; Kristina Kolbow ; Jörg Bengt Seeger ; Klaus Edgar Roth ; Djordje Lazovic ; Uwe Martin Maus
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