The incidence of early periprosthetic joint infection (PJI) after total hip arthroplasty (THA) and total knee arthroplasty (TKA) is between 1 and 2 percent. In our department approximately 700 primary THAs and TKAs are performed annually. In 2015 and 2016 the incidence of early PJIs was nearly 3%. The aim of this study was to see if it was possible to reduce the incidence of infection by employing a bundle of measures by involving staff from all aspects of patient flow and addressing preventing measures in every step of the patients´ course throughout the hospital. The Arthroplasty surgeon team reviewed the Proceedings of the International Consensus Meeting on Periprosthetic Joint Infection of 2013. Issues where literature had shown a significant effect on prevention of PJI was identified and written in an action plan. An interdisciplinary team with staff from all aspects of patient flow was established. In January 2017 the action plan was presented to the interdisciplinary team. The team discussed in what way the different issues could be solved, and issues that could be addressed without extra costs were implemented immediately. The issues addressed in the meeting were: preoperative risk factors, preoperative skin preparation, perioperative antibiotics, reducing particle amount and reducing traffic in the surgical theatre.Aim
Method
The incidence of prosthetic joint infections can be severe to monitor, as they are rare events. Recent publications from National registries points toward a significant underestimation of reported infections. The aim of this project was to develop a complication register that could report the “true” and momentaneous incidence of prosthetic infections after total knee and hip arthroplasty. All patients operated with total hip arthroplasty (THA) or total knee arthroplasty (TKA) at our hospital were included in a local quality registry. All complications were reported at follow-up at 2 and 3 months for total knee and hip arthroplasties respectively, and at 1-year follow up. Both primary and revision surgeries were included. In order to monitor complications of special interest, such as deep postoperative infections, key variables were presented in a g-chart. This chart shows the number of uncomplicated surgeries between each complication (such as infection) in a bar diagram. This diagram is easily read as high bars indicate a low incidence of complications and low bars indicate a high incidence. The diagram is updated and distributed for information every month.Aim
Method
