Gait function improvements, using Cardiff Classifier, are related to patient‐reported function and pain following hip arthroplasty

Abstract

Summarizing results of three-dimensional (3D) gait analysis into a comprehensive measure of overall gait function is valuable to discern to what extent gait function is affected, and later recovered after surgery and rehabilitation. This study aimed to investigate whether preoperative gait function, quantified and summarized using the Cardiff Classifier, can predict improvements in postoperative patient-reported activities of daily living, and overall gait function 1 year after total hip arthroplasty (THA). Secondly, to explore relationships between pre-to-post surgical change in gait function versus changes in patient-reported and performance-based function. Thirty-two patients scheduled for THA and 25 nonpathological individuals were included in this prospective cohort study. Patients were evaluated before THA and 1 year postoperatively using 3D gait analysis, patient-reported outcomes, and performance-based tests. Kinematic and kinetic gait parameters, derived from 3D gait analysis, were quantified using the Cardiff Classifier. Linear regressions investigated the predictive value of preoperative gait function on postoperative outcomes of function, and univariate correlations explored relationships between pre-to-post surgical changes in outcome measures. Preoperative gait function, by means of Cardiff Classifier, explained 35% and 30% of the total variance in change in patient-reported activities of daily living, and in gait function, respectively. Moderate-to-strong correlations were found between change in gait function and change in patient-reported function and pain, while no correlations were found between change in gait function and performance-based function. Clinical significance: Preoperative gait function predicts postsurgical function to a moderate degree, while improvements in gait function after surgery are more closely related to how patients perceive function than their maximal performance of functional tests.

Relationship Between Self-Reported Function, Functional Tests and Biomechanical Parameters in Patients 12 Months After Total Hip Arthroplasty: A Preliminary Cross-Sectional Study

“…PBTs seem to be more sensitive for detecting functional impairments after hip replacement than PROMs. They provide information about the functional abilities, but not about the biomechanics of the movement and the causes of possible deficits [ 8 ]. This can only be achieved by objective biomechanical examinations, for example including analyses of gait, balance and lower extremity strength.…”

Monocular 3D Human Pose Markerless Systems for Gait Assessment

“…The main contributions of this paper can be summarised as follows: (1) The filter strategy in the post-processing stage has been optimised to improve the joint angle signal prediction accuracy by 10.7% when compared with the raw joint angle signal predicted from BlazePose. (2) A public dataset is used to validate the performance of the system from various perspectives, which can be used to provide a comparative benchmark for other similar work.…”

“…Gait impairments are common in many medical conditions [ 1 , 2 ], which have the potential to modify clinical symptoms, alter the energy cost of movement, and negatively affect the quality of life [ 3 , 4 ]. Clinical gait analysis plays an important role in the quantification of these impairments, as such information may be used for clinical decision making [ 5 , 6 ] and the design of new therapies.…”