Traditionally, limb reconstruction physiotherapy consisted of face to face group rehabilitation. During the COVID-19 pandemic OP physiotherapy service provision was significantly reduced and delivery methods limited due to staff redeployment, service prioritisation and restriction of footfall within the hospital. A virtual exercise group for acute limb reconstruction patients was set up to maintain contact and clinical support. A small single centre study was performed over two 4 week periods capturing the experience of 35 patients. A patient reported questionnaire was used and revised post-pandemic to gather quantitative and qualitative data about the patients experience of the Limb Reconstruction Physiotherapy Service at each point in time. The qualitative data was analysed using an inductive thematic analysis.Introduction
Materials and Methods
Culture of multiple periprosthetic tissue samples is the current gold-standard for microbiological diagnosis of prosthetic joint infections (PJI). Additional diagnostic information may be obtained through sonication fluid culture of explants. These current techniques can have relatively low sensitivity, with prior antimicrobial therapy or infection by fastidious organisms particularly influencing culture results. Metagenomic sequencing has demonstrated potential as a tool for diagnosis of bacterial, viral and parasitic infections directly from clinical samples, without the need for an initial culture step. We assessed whether metagenomic sequencing of DNA extracts from sonication fluid can provide a sensitive tool for diagnosis of PJI compared to sonication fluid culture. We compared metagenomic sequencing with standard aerobic and anaerobic culture in 97 sonication fluid samples from prosthetic joint and other orthopaedic device-related infections. Sonication fluids were filtered to remove whole human cells and tissue debris, then bacterial cells were mechanically lysed before DNA extraction. DNA was sequenced and sequencing reads were taxonomically classified using Kraken. Using 50 derivation samples, we determined optimal thresholds for the number and proportion of bacterial reads required to identify an infection and confirmed our findings in 47 independent validation samples.Aim
Method
