This study validated three models for predicting infection after hip and knee replacement surgery. By analyzing data from 2684 patients in the Netherlands, Portugal, and Spain, we found that the models developed by Tan, Del Toro, and Bülow effectively identified high-risk patients. These models can be used to enhance preoperative counseling and to tailor infection prevention measures individually, potentially improving outcomes and reducing healthcare costs.

While there is no gold standard test to diagnose periprosthetic joint infection (PJI), we believe synovial fluid analysis, especially preoperatively, is a critical step in differentiating between infection and aseptic failure. Adding simple and inexpensive biomarkers such as synovial C-reactive protein (CRP) or adenosine deaminase (ADA) and combined interpretation can be helpful in the context of inconclusive results.

Management of septic arthritis in native joints (SANJO) is often conducted by clinicians of different specialties, experience levels, and at all hours of the day. The SANJO guideline group makes evidence-based recommendations for diagnosis, microbiological investigation, initial surgery, empirical antibiotic treatment, early mobilization, evaluation of outcomes, and treatment failure. Special considerations were made for children, tuberculosis, and SANJO after cruciate ligament reconstruction.