Method

Patients having surgery for EBJIS Criteria Confirmed PJI between 2010–2015 were included. Index surgical procedures were 1-stage or 2-stage revision or debridement and implant retention (DAIR). Patients completed the EuroQol EQ-5D-3L questionnaire and were followed clinically to a median of 4.7 years (IQR 2.7–6.7 years). Patients were stratified using the JS-BACH classification1 into either ‘Uncomplicated’, ‘Complex’ or having ‘Limited treatment options’, by two separate classifiers, blinded to clinical outcome.

Method

Patients presenting to clinic between January 2019 and February 2020 completed the EuroQol EQ-5D-5L questionnaire. Patients were divided into three groups: surgery performed; on the waiting list for surgery; or decision for non-operative management. All patients were followed-up for 2 years. The EQ-index score was calculated and change from presentation to 1-year and 2-year follow-up was compared across the 3 groups. Mortality at final follow-up was measured in all groups.

Method

We performed a retrospective, observational multinational study with support of the European Society of Clinical Microbiology and Infectious Diseases (ESCMID). Patients diagnosed with PJI due to Candida spp. between 1990 and 2021 were included. Demographic, clinical, laboratory, imaging, medical/surgical treatment, and outcome data were collected within a standardized database. Treatment failure was defined either as a Candida infection recurrence, superinfection, or death due to infection.

Method

Patients referred for treatment of osteomyelitis (including fracture related infection) were identified prospectively between 2019 and 2023. Patients with confirmed infection completed the EuroQol EQ-5D-5L questionnaire. Clinicians blinded to EQ-index score, grouped patients according to JS-BACH Classification into ‘Uncomplicated’, ‘Complex’ or ‘Limited treatment options’. A systematic review of the literature was performed of other conditions that have been stratified using EQ-index score.

Methods

Four prospectively-collected datasets including 1173 participants treated in European centres between 2003 and 2021, followed up to 12 months after surgery for clinically diagnosed orthopaedic infections, were included in logistic regression modelling with Inverse Probability of Treatment Weighting for current smoking status [1–3]. Host factors including age, gender and ASA score were included as potential confounding variables, interacting through surgical treatment as a collider variable in a pre-specified structural causal model informed by clinical experience. The definition of infection recurrence was identical and ascertained separately from baseline factors in three contributing cohorts. A subset of 669 participants with positive histology, microbiology or a sinus at the time of surgery, were analysed separately.

Method

125 patients with recurrent infection (prosthetic joint infection, fracture related infection and osteomyelitis) in the UK between 2007 and 2021 were identified. Electronic patient records (including operative notes, pathology results and prescriptions) were reviewed to extract site of infection, date of surgery, the use of local antibiotics, culture results, empiric and definitive antibiotic therapy. All antibiotic sensitivity results were recorded as sensitive, intermediate or resistant according to contemporary guidelines (BSAC and EUCAST).

Method

An 18-question multiple-choice questionnaire was designed through an iterative feedback process until the final version was agreed by all authors. Likert-type scale responses were used with graded responses (e.g., never/fewer than half of patients/around half of patients/more than half of patients/every patient). The online survey was sent to members of the Musculoskeletal Infection Society (MSIS), the European Bone and Joint Infection Society (EBJIS), and the ESCMID Study Group for Implant-Associated Infections (ESGIAI). No incentive for participation was provided.

Aims

1) To evaluate the effect of local antibiotics on outcome in patients with FRI. 2) To evaluate whether bacterial resistance to the implanted local antibiotics influences its efficacy.

Methods

Four prospectively collected datasets including 1173 participants treated in European centres between 2003 and 2021, followed up to 12 months after surgery for orthopaedic infections, were included in logistic regression modelling [1–3]. The definition of infection recurrence was identical and ascertained separately from baseline factors in three contributing cohorts. Eight predictive factors were investigated following a priori sample size calculation: age, gender, BMI, ASA score, the number of prior operations, immunosuppressive medication, glycosylated haemoglobin (HbA1c), and smoking. Missing data, including systematically missing predictors, were imputed using Multiple Imputation by Chained Equations. Weekly alcohol intake was not included in modelling due to low inter-observer reliability (mean reported intake 12 units per week, 95% CI for mean inter-rater error −16.0 to +15.4 units per week).

Method

A cohort of 125 individuals with recurrent infection (prosthetic joint infection, fracture-related infection and osteomyelitis) from two centres in the UK between 2007 and 2021. Electronic patient records were reviewed to identify culture results from surgical samples at index surgery and the next operation for recurrent infection. Antibiotic sensitivity results were recorded as sensitive, intermediate or resistant according to contemporary sensitivity testing guidelines.

Methods

All confirmed FRI cases, managed surgically, at three hospitals were included. Data were analyzed on patient demographics, time from injury and pathogens isolated. Patients who underwent DAIR were also analyzed separately.

Method

A prospective observational cohort study of patients referred to a single tertiary centre who met the following criteria: (i) aged ≥18 years, (ii) received surgery for long bone osteomyelitis and (iii) met diagnostic criteria for long bone osteomyelitis. Patient demographics, referral microbiology and previous surgical history were collected at the time of initial clinic appointment. During surgery, a minimum of 5 intra-operative deep tissue samples were sent for microbiology. Antimicrobial options were classified from the results of susceptibility testing using the BACH classification of long bone osteomyelitis as either Ax (unknown or culture negative), A1 (good options available) or A2 (limited options available). The cultures and susceptibility of pre-referral microbiology were compared to the new intra-operative sampling results. In addition, an association between previous osteomyelitis excision and antimicrobial options were investigated.

Method

All patients newly referred to a specialist bone infection clinic at a single tertiary centre within the UK between January 2019 and February 2020 were prospectively included. Diagnosis of osteomyelitis was made according to the presence of clinical and radiological criteria for ≥6 months. An EQ-5D-5L questionnaire and visual analogue score (VAS) were completed during the initial clinic appointment. Long-bone osteomyelitis was classified by the attending orthopaedic surgeon using the BACH classification system as either uncomplicated, complex or with limited options available.1 Patients managed non-operatively were subclassified into those who were (i) unfit to receive an operation or (ii) fit and well with stable disease. EQ-5D index scores were compared to a published UK value set of 41 chronic health conditions within the UK.2

Method

A retrospective cohort of all patients treated with local antifungal therapy with ABlaB between January 2016 and January 2021 in a specialist orthopaedic hospital was identified using pharmacy records.

Renal function, serious adverse events during treatment, surgical outcomes including spacer fracture and infection recurrence, were identified from electronic clinical records. The project was approved by the Institutional Review Board (clinical audit 6871).

Materials and Methods

All patients newly referred to a specialist tertiary bone infection clinic within the UK between January 2019 and February 2020 were prospectively included. Diagnosis of osteomyelitis was made according to the presence of clinical and radiological criteria for ≥6 months. An EQ-5D-5L questionnaire and visual analogue score (VAS) were completed during the initial clinic appointment. Long-bone osteomyelitis was classified by the attending orthopaedic surgeon using the BACH classification system as either uncomplicated, complex or with limited options available. Patients managed non-operatively were subclassified into those who were (i) unfit to receive an operation or (ii) fit and well with stable disease. EQ-5D index scores were compared to a published UK value-set of 41 chronic health conditions within the UK.

Materials and Methods

All patients referred to a single tertiary centre between February 2019 and February 2020, aged ≥18 years and received surgery for confirmed long-bone osteomyelitis were included. Patient demographics, referral microbiology and previous surgical history were collected at the time of initial clinic appointment. During surgery, a minimum of 5 intra-operative deep tissue samples were sent for microbiology. Antimicrobial options were classified from the results of susceptibility testing using the BACH classification of long bone osteomyelitis as either Ax (unknown or culture negative), A1 (good options available) or A2 (limited options available). The cultures and susceptibility of pre-referral microbiology were compared to the new intra-operative sampling results. In addition, an association between previous osteomyelitis excision and antimicrobial options were investigated.

Methods

Patients with long-bone osteomyelitis were identified prospectively between June 2010 and October 2015. All patients underwent surgical debridement in a single-staged procedure at a specialist bone infection unit. Self-reported QoL was assessed prospectively using the three-level EuroQol five-dimension questionnaire (EQ-5D-3L) index score and visual analogue scale (EQ-VAS) at five postoperative time-points (baseline, 14 days, 42 days, 120 days, and 365 days). BACH classification was applied retrospectively by two clinicians blinded to outcome.

Methods

A cohort of 106 patients having surgery for suspected septic nonunion after failed fracture fixation were studied. Blood samples were collected preoperatively, and the concentration of serum CRP, WBC, and differential cell count were analyzed. The areas under the curve (AUCs) of diagnostic tests were compared using the z-test. Regression trees were constructed and internally cross-validated to derive a simple diagnostic decision tree.

Methods

In this retrospective cohort study, 94 patients who underwent surgical treatment for suspected infected non unions after failed fracture fixation were included. Preoperatively, blood samples including serum inflammatory markers were taken. For this study, cut-offs of 5 mg/L for CRP, 10×10⁁9 cells/L for WBC, and >70% for the percentage of neutrophils were regarded as positive for infection. All patients had intraoperative samples taken for microbiology and histology. Analysis of diagnostic accuracy was based on the receiver-operating characteristic (ROC).

Method

Seventy-one patients with long-bone osteomyelitis, confirmed using a validated composite protocol, were included. Patients received a single-stage procedure at a specialist bone infection unit. Euro-Qol EQ-5D-3L questionnaires and Visual Analogue Scores (VAS) (0–100) were collected prospectively at baseline, 14 days, 6 weeks, 4 months and 1 year post-operatively. The EQ-5D-3L index score, a composite measure of performance of daily activities, was calculated from the 5 domains of the EQ-5D-3L. BACH was applied retrospectively by two independent clinicians blinded to all patient outcomes.

Method

All patients with a diagnosis of non-spinal osteoarticular TB between 2009–2017 from one tertiary referral centre were included. Retrospective review of surgical intervention, antibiotic treatment and outcome was conducted.

Methods

A total of 30 clinicians from a variety of specialities classified 20 anonymized cases of long-bone osteomyelitis using BACH. Cases were derived from patients who presented to specialist centres in the United Kingdom between October 2016 and April 2017. Accuracy and Fleiss’ kappa (Fκ) were calculated for each variable. Bone involvement (B-variable) was assessed further by nine clinicians who classified ten additional cases of long bone osteomyelitis using a 3D clinical imaging package. Thresholds for defining multidrug-resistant (MDR) isolates were optimized using results from a further analysis of 253 long bone osteomyelitis cases.

Method

Patients with confirmed osteomyelitis who received curative surgery from 2013–2017 were included (n=222). Microbiology was compared to patients from a cohort between 2001–2004, using the same diagnostic criteria (n=166).¹ The proportion of MDR bacterial pathogens² from deep tissue culture in these cohorts were compared. Pathogens were analysed according to aetiology and the presence of metal-work.

Method

A single centre, consecutive series of 45 patients (mean age 48 years; range 19–85) were treated with a single stage operation to apply an Ilizarov frame for bone reconstruction and a free muscle flap for soft-tissue cover.

All patients had a segmental bone defect in the tibia, after excision of infected bone and soft-tissue defects which could not be closed directly or with local flaps. We recorded comorbidities, Cierny-Mader and Weber-Cech classification, the Ilizarov method used, flap type, follow-up duration, time to union and complications.

Method

We used standard protocols for tissue sample collection and laboratory processing, and a standard clinical definition of fracture-related infection. We explored how tissue culture sensitivity and specificity varied with the number of tissue specimens obtained; and with the number of specimens from which an identical isolate was required (diagnostic cutoff). To model the effect of the number of specimens taken we randomly sampled n specimens from those obtained at each procedure, excluding procedures from which less than n specimens were collected, and calculated sensitivity and specificity based on this sample. For each value of n we repeated this process 100 times to estimate the mean sensitivity and specificity for n specimens.

Method

We studied five cohorts of patients who had surgery for long bone infection, over a 10 year period. We investigated the efficacy of various antibiotic carriers (PMMA and Collagen; n=185, Calcium Sulphate; n=195, Calcium Sulphate/Hydroxyapatite; n=233) and management of infected non-unions (n=146). Patients were reviewed and Kaplan-Meier Survivorship curves were constructed to show the incidence and timing of recurrence. The microbiology of the initial infection and the recurrent culture was also compared.