Integrating Genome-wide Polygenic Risk Scores with Non-genetic Models to Predict Surgical Site Infection after Total Knee Arthroplasty Using United Kingdom Biobank Data

Prediction of the risk of developing surgical site infection (SSI) in patients following total knee arthroplasty (TKA) is of clinical importance. Genetic susceptibility is involved in developing TKA-related SSI. Previously reported models for predicting SSI were constructed using nongenetic risk factors without incorporating genetic risk factors. To address this issue, we performed a genome-wide association study (GWAS) using the UK Biobank database.