Clinical Gait Analysis for Hip Osteoarthritis Diagnostic Model and Arthroplasty Treatment's Evaluation

I.Osteoarthritis (OA) is a degenerative joint disease that seriously disturbs the patients motor ability [7]. To quantify gait kinematic impairments from such bone diseases, clinical gait analysis is widely used. Based on the motion-captured gait analysis data published by Bertaux et al., stratified by the subjects body mass index (BMI), we built a computational pipeline to extract seven gait kinematic features that can significantly distinguish hip OA (HOA) patients from healthy subjects [3], [5]. These features, along with demographic variables, were utilized to fit regression models for HOA predictor interpretation and classification models for HOA diagnosis. CV results showed that the final diagnostic model could achieve 90%+ sensitivity under 90% specificity, with AUC up to 0.96. We also analyzed the HOA patients 6 months post arthroplasty treatment: patients showed a trend of improvement in most kinematics variables and Ground Reaction Force similarities compared to healthy controls. Although differences between the treated patients and the healthy control still persist. Clinical gait analysis, along with data science strategies, can have substantial potential for HOA diagnosis and evaluation of the arthroplasty treatment.