The aim of this study was to analyze the prevalence of culture-negative periprosthetic joint infections (PJIs) when adequate methods of culture are used, and to evaluate the outcome in patients who were treated with antibiotics for a culture-negative PJI compared with those in whom antibiotics were withheld. A multicentre observational study was undertaken: 1,553 acute and 1,556 chronic PJIs, diagnosed between 2013 and 2018, were retrospectively analyzed. Culture-negative PJIs were diagnosed according to the Muskuloskeletal Infection Society (MSIS), International Consensus Meeting (ICM), and European Bone and Joint Society (EBJIS) definitions. The primary outcome was recurrent infection, and the secondary outcome was removal of the prosthetic components for any indication, both during a follow-up period of two years.Aims
Methods
The diagnosis of periprosthetic joint infection (PJI) can be difficult. All current diagnostic tests have problems with accuracy and interpretation of results. Many new tests have been proposed, but there is no consensus on the place of many of these in the diagnostic pathway. Previous attempts to develop a definition of PJI have not been universally accepted and there remains no reference standard definition. This paper reports the outcome of a project developed by the European Bone and Joint Infection Society (EBJIS), and supported by the Musculoskeletal Infection Society (MSIS) and the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Implant-Associated Infections (ESGIAI). It comprised a comprehensive review of the literature, open discussion with Society members and conference delegates, and an expert panel assessment of the results to produce the final guidance.Aims
Methods
Failure of irrigation and debridement (I&D) for prosthetic joint infection (PJI) is influenced by numerous host, surgical, and pathogen-related factors. We aimed to develop and validate a practical, easy-to-use tool based on machine learning that may accurately predict outcome following I&D surgery taking into account the influence of numerous factors. This was an international, multicentre retrospective study of 1,174 revision total hip (THA) and knee arthroplasties (TKA) undergoing I&D for PJI between January 2005 and December 2017. PJI was defined using the Musculoskeletal Infection Society (MSIS) criteria. A total of 52 variables including demographics, comorbidities, and clinical and laboratory findings were evaluated using random forest machine learning analysis. The algorithm was then verified through cross-validation.Aims
Methods
Recently, several synovial biomarkers have been introduced into
the algorithm for the diagnosis of a prosthetic joint infection
(PJI). Alpha defensin is a promising biomarker, with a high sensitivity
and specificity, but it is expensive. Calprotectin is a protein
that is present in the cytoplasm of neutrophils, is released upon
neutrophil activation and exhibits anti-microbial activity. Our
aim, in this study, was to determine the diagnostic potential of
synovial calprotectin in the diagnosis of a PJI. In this pilot study, we prospectively collected synovial fluid
from the hip, knee, shoulder and elbow of 19 patients with a proven
PJI and from a control group of 42 patients who underwent revision
surgery without a PJI. PJI was diagnosed according to the current diagnostic criteria
of the Musculoskeletal Infection Society. Synovial fluid was centrifuged
and the supernatant was used to measure the level of calprotectin
after applying a lateral flow immunoassay. Aims
Patients and Methods
