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
The aims of this study were to increase the diagnostic accuracy
of the analysis of synovial fluid in the differentiation of prosthetic
joint infection (PJI) by the addition of inexpensive biomarkers
such as the levels of C-reactive protein (CRP), adenosine deaminase
(ADA), alpha-2-macrogloblulin (α2M) and procalcitonin. Between January 2013 and December 2015, synovial fluid and removed
implants were requested from 143 revision total joint arthroplasties.
A total of 55 patients met inclusion criteria of the receipt of
sufficient synovial fluid, tissue samples and removed implants for
analysis. The diagnosis of PJI followed the definition from a recent International
Consensus Meeting to create two groups of patients; septic and aseptic.
Using receiver operating characteristic curves we determined the
cutoff values and diagnostic accuracy for each marker.Aims
Patients and Methods
Radial osteotomy is currently advocated for patients
with Lichtman’s stages II and IIIA of Kienböck’s disease; its place
in the treatment of patients with stage IIIB disease remains controversial.
The purpose of this study was to evaluate the medium-term results
of this procedure and to compare the outcome in patients with stage
IIIB disease and those with earlier stages (II and IIIA). A total
of 18 patients (18 osteotomies) were evaluated both clinically and radiologically
at a mean follow-up of 10.3 years (4 to 18). Range of movement,
grip strength and pain improved significantly in all patients; the
functional score (Nakamura Scoring System (NSSK)) was high and self-reported disability
(Disabilities of Arm, Shoulder and Hand questionnaire) was low at
the final follow-up in all patients evaluated. Patients with stage
IIIB disease, however, had a significantly lower grip strength,
lower NSSK scores and higher disability than those in less advanced
stages. Radiological progression of the disease was not noted in
either group, despite the stage. Radial osteotomy seems effective
in halting the progression of disease and improving symptoms in
stages II, IIIA and IIIB. Patients with less advanced disease should
be expected to have better clinical results.
