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. 2024 Aug:49:192-200.
doi: 10.1016/j.knee.2024.07.008. Epub 2024 Jul 22.

Exploratory study of the lateral body sway predictability as frame of reference for gait rehabilitation following a total knee arthroplasty

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Free article

Exploratory study of the lateral body sway predictability as frame of reference for gait rehabilitation following a total knee arthroplasty

Werner A F van de Ven et al. Knee. 2024 Aug.
Free article

Abstract

Aims: The aim of the present study was to investigate whether the predictability of fronto-parallel trunk rotations (lateral body sway) could serve as a frame of reference to monitor recovery after total knee arthroplasty (TKA).

Methods: Before surgery, 11 TKA patients were asked to perform a treadmill walking task at three different speeds. In addition, their gait abilities were scored on three standard clinical walking tests. The treadmill walking task was repeated at three different timepoints following surgery, i.e., at 3, 6 and 12 months post-TKA. The movements of the trunk were digitized with an inertial sensor to capture the amplitude and the sample entropy (SEn) of the lateral body sway that were evaluated in separate ANOVAs.

Results: Before surgery the TKA group showed larger body sway (P = 0.025) with smaller SEn values (P = 0.038), which both restored to levels of healthy adults in the 12 months following surgery. Systematic correlations between the SEn values and the clinical test scores were found.

Conclusions: The current findings show that movement behavior of the trunk in the fronto-parallel plane was affected by knee osteoarthritis and suggest that the predictability of the lateral body sway may serve as an index of recovery after TKA.

Keywords: Knee osteoarthritis; Sample entropy; Total knee arthroplasty; Treadmill walking; Trunk.

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Conflict of interest statement

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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