Identification of Early Knee Osteoarthritis Based on Knee Joint Trajectory during Stair Climbing

Ami Ogawa (), Hirotaka Iijima and Masaki Takahashi
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Ami Ogawa: Department of System Design Engineering, Faculty of Science and Technology, Keio University, Yokohama 223-8522, Japan
Hirotaka Iijima: Institute for Advanced Research, Nagoya University, Nagoya 464-8601, Japan
Masaki Takahashi: Department of System Design Engineering, Faculty of Science and Technology, Keio University, Yokohama 223-8522, Japan

IJERPH, 2022, vol. 19, issue 22, 1-11

Abstract: Patients with knee osteoarthritis show low stair climbing ability, but a diagnosis of stair performance time is not enough to identify the early stages of knee osteoarthritis. Therefore, we developed an indicator named range of the knee joint trajectory (RKJT) as a kinematic parameter to express more detailed characteristics than stair performance time. To achieve this, we used our developed “IR-Locomotion”, a markerless measurement system that can track the knee joint trajectory when climbing stairs. This study aimed to test whether the RKJT effectively identifies patients with early knee osteoarthritis even after controlling stair performance time. Forty-seven adults with moderate to severe knee pain (mean age 59.2 years; 68.1% women) underwent the radiographic examination (Kellgren and Lawrence grade) of both knees and a stair climbing test on 11 stairs. The RKJT during the stair climbing test was calculated by “IR-Locomotion”. A generalized linear mixed model was used to evaluate the discriminative capability of RKJT on early knee osteoarthritis (i.e., Kellgren and Lawrence grade of 1). As expected, patients with early knee osteoarthritis showed larger RKJT than non-radiographic controls (95% confidence interval: 1.007, 1.076). Notably, this finding was consistent even after adjusting stair performance time.

Keywords: IR-Locomotion; non-contact markerless measurement system; knee joint trajectory; early knee osteoarthritis; stair climbing (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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