Background: Patellofemoral joint (PFJ) pathology accounts for upto 40% of cases of knee pain. It has been suggested that PFJ pathology may be underreported in Magnetic Resonance Imaging (MRI) Knee reports. The objective of this study was to elucidate whether PFJ was reported in MRI knee reports at our institution. Materials and methods: A retrospective review of 103 consecutive Knee MRIs over a 2-month period was performed by an author, blinded to the reports, at our institution. We analysed whether PFJ was mentioned in MRI knee reports and whether any significant PFJ pathology was present in the scans of this cohort. Images were also reviewed for any underlying causes of PFJ pathology such as trochlear dysplasia (TD) that can result in patellar instability or maltracking. Results: PFJ was not mentioned in 79/103 cases (77%). 24 cases had trochlear dysplasia. There was no association between PFJ reporting and trochlear dysplasia (p value = 0.50). Conclusion: PFJ is not mentioned in the majority of Knee MRI reports. PFJ pathology is an important cause of anterior knee and should be reported.

Introduction: COVID-19 was declared a pandemic by the World Health Organization on the 11th of March 2020 with the NHS deferring all non-urgent activity from the 15th of April 2020. The aim of our study was to assess the impact of COVID-19 on Trauma and Orthopaedic trainees nationally. Methods: Trauma and Orthopaedic (T&O) specialty trainees nationally were asked to complete an electronic survey specifically on the impact of COVID-19 on their training. This UK based survey was conducted between May 2020 and July 2020. Results: A total of 185 out of 975 (19%) T&O specialty trainees completed the survey. Redeployment was experienced by 25% of trainees. 84% of respondents had experienced a fall in total operating numbers in comparison with the same time period in 2019. 89% experienced a fall in elective operating and 63% experienced a fall in trauma operating. The pandemic has also had an effect on the delivery of teaching, with face to face teaching being replaced by webinar-based teaching. 63% of training programmes delivered regular weekly teaching, whilst 19% provided infrequent sessions and 11% provided no teaching. Conclusion: This study has objectively demonstrated the significant impact of the COVID-19 pandemic on all aspects of T&O training.

Aims: A crossover double-blind, randomized study was designed to explore the efficacy of 2% mepivacaine with 1:100,000 adrenaline buccal infiltration and 4% articaine with 1:100,000 adrenaline buccal infiltration following 2% mepivacaine with 1:100,000 adrenaline inferior alveolar nerve block (IANB) for testing pulp anesthesia of mandibular first molar teeth in adult volunteers. Materials and methods: A total of 23 healthy adult volunteers received two regimens with at least 1-week apart; one with 4% articaine buccal infiltration and 2% mepivacaine IANB (articaine regimen) and another with 2% mepivacaine buccal infiltration supplemented to 2% mepivacaine IANB (mepivacaine regimen). Pulp testing of first molar tooth was electronically measured twice at baseline, then at intervals of 2 min for the first 10 min, then every 5 min until 45 min postinjection. Anesthetic success was considered when two consecutive maximal stimulation on pulp testing readings without sensation were obtained within 10 min and continuously sustained for 45 min postinjection. Results: In total, the number of no sensations to maximum pulp testing for first molar teeth were significantly higher after articaine regimen than mepivacaine during 45 min postinjection (267 vs. 250 episodes, respectively, P < 0.001), however, both articaine and mepivacaine buccal infiltrations are equally effective in securing anesthetic success for first molar pulp anesthesia when supplemented to mepivacaine IANB injections (P > 0.05). Interestingly, volunteers in the articaine regimen provided faster onset and longer duration (means 2.78 min, 42.22 min, respectively) than mepivacaine regimen (means 4.26 min, 40.74 min, respectively) for first molar pulp anesthesia (P < 0.001). Conclusions: Supplementary mepivacaine and articaine buccal infiltrations produced similar successful first molar pulp anesthesia following mepivacaine IANB injections in volunteers. Articaine buccal infiltration produced faster onset and longer duration than mepivacaine buccal infiltration following mepivacaine IANB injections.

Aims: European and American clinical guidelines for implantable cardioverter defibrillators are insufficiently accurate for ventricular arrhythmia (VA) risk stratification, leading to significant morbidity and mortality. Artificial intelligence offers a novel risk stratification lens through which VA capability can be determined from the electrocardiogram (ECG) in normal cardiac rhythm. The aim of this study was to develop and test a deep neural network for VA risk stratification using routinely collected ambulatory ECGs. Methods and results: A multicentre case-control study was undertaken to assess VA-ResNet-50, our open source ResNet-50-based deep neural network. VA-ResNet-50 was designed to read pyramid samples of three-lead 24 h ambulatory ECGs to decide whether a heart is capable of VA based on the ECG alone. Consecutive adults with VA from East Midlands, UK, who had ambulatory ECGs as part of their NHS care between 2014 and 2022 were recruited and compared with all comer ambulatory electrograms without VA. Of 270 patients, 159 heterogeneous patients had a composite VA outcome. The mean time difference between the ECG and VA was 1.6 years (⅓ ambulatory ECG before VA). The deep neural network was able to classify ECGs for VA capability with an accuracy of 0.76 (95% confidence interval 0.66-0.87), F1 score of 0.79 (0.67-0.90), area under the receiver operator curve of 0.8 (0.67-0.91), and relative risk of 2.87 (1.41-5.81). Conclusion: Ambulatory ECGs confer risk signals for VA risk stratification when analysed using VA-ResNet-50. Pyramid sampling from the ambulatory ECGs is hypothesized to capture autonomic activity. We encourage groups to build on this open-source model. Question: Can artificial intelligence (AI) be used to predict whether a person is at risk of a lethal heart rhythm, based solely on an electrocardiogram (an electrical heart tracing)? Findings: In a study of 270 adults (of which 159 had lethal arrhythmias), the AI was correct in 4 out of every 5 cases. If the AI said a person was at risk, the risk of lethal event was three times higher than normal adults. Meaning: In this study, the AI performed better than current medical guidelines. The AI was able to accurately determine the risk of lethal arrhythmia from standard heart tracings for 80% of cases over a year away-a conceptual shift in what an AI model can see and predict. This method shows promise in better allocating implantable shock box pacemakers (implantable cardioverter defibrillators) that save lives.

Background: The Montgomery case in 2015 resulted in a pivotal change in practice, leading to a patient-centric approach for informed consent. Neck of femur (NOF) fractures are associated with a high rates perioperative morbidity and mortality. Using guidelines highlighted by the British Orthopaedic Association we performed a multi-loop audit within our department to assess the adequacy of informed consent for NOF fractures. Methods: Two prior cycles had been performed utilising a similar framework. Prior interventions included ward posters, verbal dissemination of information at Junior Doctor's (JD) induction and amendments to the JD handbook. For the latest audit loop, a retrospective analysis of 100 patients was performed. Risk were classified as common, less common, rare and 'other' non-classifiable risks. The adequacy of informed consent was evaluated by assessing the quality and accuracy of documentation in the signed Consent Form-1s for compos mentis patients. Results: Infection, bleeding risks, clots and anaesthetic risks were documented in all patients (100%). Areas of improvement included documentation of neurovascular injuries (98%), pain (75%) and altered wound healing (69%). There was no significant change in the documentation of failure of surgery (83%) and neurovascular injuries (98%). Poorly documented risk factors included mortality (21%), prosthetic dislocation (14%) and limb length discrepancy (6%). Conclusion: Following the latest cycle, the trust has now approved the use of 2 consent-specific stickers (for arthroplasty or fixation), amendable on a patient-to-patient basis. As part of the multi-loop process, the cycle will be repeated every year, in line with Junior Doctor rotations. Medical professionals have an ethical, moral and legal obligation to ensure they provide all information regarding surgical interventions to aid patients in making an informed decision.

The prevalence of spontaneous coronary artery dissection (SCAD) has increased over the last decades in young adults presenting with acute coronary syndrome. Although the diagnostic tools, including intracoronary imaging, have permitted a more accurate diagnosis of SCAD, the prognosis and overall outcomes remain dismal. Furthermore, the disproportionate sex distribution affecting more women and the underdiagnosis in many parts of the world render this pathology a persistent clinical challenge, particularly since the management remains largely supportive with a limited and controversial role for percutaneous or surgical interventions. The purpose of this review is to summarize the available literature on SCAD and to provide insights into the gaps in knowledge and areas requiring further investigation.