Clinical Research Directory

Assessment of Functional Outcomes of Custom-made Articulating Spacers in Two Stage Arthroplasty for Treatment of Infected Hip Joint

The goal of this prospective observational study is to evaluate whether the use of a Custom-Made Articulating Spacer (CUMARS) can achieve satisfactory functional outcomes and effective infection control in patients undergoing two-stage revision for infected hip joints. The main questions it aims to answer are: Does the use of CUMARS provide acceptable functional outcomes during the interim period and after definitive reimplantation? Does CUMARS result in effective infection eradication with acceptable perioperative parameters and complication rates? Participants will: Undergo first-stage removal of the infected hip prosthesis and implantation of a Custom-Made Articulating Spacer Receive targeted systemic antibiotic therapy based on culture results Be followed up clinically and radiologically to assess function, complications, and infection status Undergo second-stage definitive hip reimplantation after confirmation of infection eradication

Paper-based Electrochemical Point-of-care Device in Diagnostic of Orthopedic Infections

Periprosthetic Joint infections (PJI) and spondylodiscitis are considered some of the most costly infectious diseases because require at least one surgery, prolonged hospitalisation, rehabilitation care, prolonged antibiotherapy, and extended absence from work in working-age patients. Ortho-PoC will face this issue with a smart and highly innovative diagnostic tool, starting from the point-of-care device for infection diagnosis in the orthopedic field developed and published by the coordinator Fondazione Policlinico Universitario Agostino Gemelli IRCCS and one partner Università degli Studi di Roma Tor Vergata. Ortho-PoC will further go beyond the state of the art by delivering a point-of-care device based on multiparametric analysis, in easily collected synovial fluids or pus. Several samples will be analysed using Ortho-PoC at three different Hospitals (Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Ospedali Riuniti di Foggia, Azienza Ospedaliera Universitaria Policlinico Vanvitelli Napoli) and the data will be treated with artificial intelligence (AI) to deliver an AI-assisted robust, effective, and smart diagnostic device for PJI.