Normal knee gait kinematics: Describing a normal cohort and illustrating differences between genders
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文摘
Gait analysis has been extensively studied by many different disciplines using various methods. Despite numerous attempts to understand the “normal” gait cycle, our current body of knowledge is insufficient to allow us to model normal locomotion in a clinically relevant manner. The primary objective of our study was to characterize normal knee3D kinematics during treadmill gait using the KneeKG™ apparatus.

Materials and methods

Ninety-five patients, 52 females and 43 males, were recruited to participate in our study. Each patient completed the KOOS and SF-12 questionnaires, underwent a KneeKG™ examination, and had full-length weightbearing (FLWB) x-rays. We analyzed the results of the questionnaires, generated gait cycle 3D kinematics (sagittal, transverse, and frontal plane), and measured clinically relevant angles on the FLWB x-rays. Furthermore, we compared knee kinematics between men and women and between the right and left knees of the same patient. We also attempted to find a correlation, using Pearson correlation statistics, between the hip-knee-ankle angle (HKA) and the frontal plane kinematic.

Results

Average age of our cohort was 36.1 years (SD: 13.3). Our cohort had scores superior to 98 in all five subsections of the KOOS questionnaire. Knee gait cycle kinematics in all planes was similar to what has been reported in the literature. When comparing men and women, significant differences were found in the sagittal motion and transverse rotation planes and in the entirety of the gait cycle in the frontal plane. When comparing the right and left knees, significant differences were only found in the frontal plane. No meaningful correlations could be made between the HKA angle and abduction.

Discussion – conclusion

As three-dimensional analysis of human gait progressively becomes a clinically useful tool in musculoskeletal diseases, an understanding of normal gait as well as a creation of a normal gait data bank is essential. We believe the results of our study contribute to understanding the kinematics of the gait cycle and foster the notion that cohorts should be divided for gender to account for gait differences in the frontal plane.

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