Pembrolizumab is an anti-cancer drug that targets programmed cell death protein-1 (PD-1) receptors on lymphocytes resulting in their activation against tumour cells. PD-1 receptors are also interspersed in endocrine organs and pembrolizumab use has long been associated with hypophysitis and thyroiditis. Since the introduction of immune checkpoint inhibitors (ICI), several cases of fulminant type 1 diabetes mellitus (FT1DM) have been reported. However, it is unclear if FT1DM and ICI-induced diabetes are the same pathology. We review the existing literature of ICI-induced diabetes to investigate its nature and to what extent it represents type 1A diabetes and/or FT1DM (type 1B diabetes) using an example case. Our review showed that ICI-induced diabetes may be a different entity to FT1DM. Furthermore, there is limited evidence for the management of ICI-induced T1DM. Further research into its pathophysiology will improve management and possibly prevent this burdensome complication.

Objective: COVID-19 in people with diabetes is associated with a disproportionately worse prognosis. DKA is an acute complication of diabetes with a mortality rate of approximately 0.67%. Little is known about the natural history of DKA in the presence of COVID-19. This study aimed to explore the effects of COVID-19 on presentation, clinical course and outcome in patients presenting with DKA. Design: Retrospective cohort study. Methods: All patients treated for DKA between 1 March 2020 and 30 May 2020 were included. Patients were categorised as COVID-positive or COVID-negative based on swab test. A pre-COVID group was established using data from 01 March 2019 to 30 May 2019 as external control. Data regarding demographics, diabetes type, pH, bicarbonate, lactate, glucose, DKA duration, complications and outcome were collected. Results: A total of 88 DKA episodes were included in this study. There was no significant difference in the severity or duration of DKA between the three groups. COVID-positive T1DM were more hyperglycaemic on admission compared to COVID-negative and pre-COVID patients. There was an over representation of T2DM in COVID-positive patients with DKA than in pre-COVID or COVID-negative groups. Conclusion: COVID-19 appears to influence the natural history of DKA differently in T1DM and T2DM. Patients with T1DM and COVID-19 presented with more hyperglycaemia (60mmol/l (35.9-60.0) vs. 31.4mmol/l (28.0-39.1) vs. 24mmol/l (20.2-33.75), respectively). Patients with T2DM were unusually presenting in DKA when infected with COVID-19 with greater ICU need and higher mortality rates. A collaborative, multi-centre study is needed to provide more definitive results.

Background: Simulation-based learning (SBL) has been increasingly used in both undergraduate and postgraduate medical training curricula. The aim of Simulation via Instant Messaging-Birmingham Advance (SIMBA) is to create a simple virtual learning environment to improve trainees' self-reported confidence in diabetes and Endocrinology. Methods: This study was done as part of the continuous professional development for Health Education England West Midlands speciality trainees in diabetes and Endocrinology. Standardized transcripts of anonymized real-life endocrinology (endocrine session) and diabetes cases (diabetes session) were used in the simulation model. Trainees interacted with moderators through WhatsApp® in this model. All cases were then discussed in detail by a consultant endocrinologist with reference to local, national and international guidelines. Trainee acceptance rate and improvement in their self-reported confidence levels post-simulation were assessed. Results: 70.8% (n = 17/24) and 75% (n = 18/24) strongly agreed the simulation session accommodated their personal learning style and the session was engaging. 66.7% (n = 16/24) strongly felt that the simulation was worth their time. In the endocrine session, there was a significant improvement in trainees' confidence in the management of craniopharyngioma (p = 0.0179) and acromegaly (p = 0.0025). There was a trend towards improved confidence levels to manage Cushing's disease and macroprolactinoma. In diabetes session, there was a significant improvement in trainees' confidence to interpret continuous glucose monitor readings (p = 0.01). There was a trend towards improvement for managing monogenic diabetes, hypoglycaemic unawareness and interpreting Libre readings. Overall, there was a significant improvement in trainees' confidence in managing cases that were discussed post-simulation.

IntroductionWe explored the clinical and biochemical differences in demographics, presentation and management of diabetic ketoacidosis (DKA) in adults with type 1 and type 2 diabetes.Research design and methodsThis observational study included all episodes of DKA from April 2014 to September 2020 in a UK tertiary care hospital. Data were collected on diabetes type, demographics, biochemical and clinical features at presentation, and DKA management.ResultsFrom 786 consecutive DKA, 583 (75.9%) type 1 diabetes and 185 (24.1%) type 2 diabetes episodes were included in the final analysis. Those with type 2 diabetes were older and had more ethnic minority representation than those with type 1 diabetes. Intercurrent illness (39.8%) and suboptimal compliance (26.8%) were the two most common precipitating causes of DKA in both cohorts. Severity of DKA as assessed by pH, glucose and lactate at presentation was similar in both groups. Total insulin requirements and total DKA duration were the same (type 1 diabetes 13.9 units (9.1–21.9); type 2 diabetes 13.9 units (7.7–21.1); p=0.4638). However, people with type 2 diabetes had significantly longer hospital stay (type 1 diabetes: 3.0 days (1.7–6.1); type 2 diabetes: 11.0 days (5.0–23.1); p<0.0001).ConclusionsIn this population, a quarter of DKA episodes occurred in people with type 2 diabetes. DKA in type 2 diabetes presents at an older age and with greater representation from ethnic minorities. However, severity of presentation and DKA duration are similar in both type 1 and type 2 diabetes, suggesting that the same clinical management protocol is equally effective. People with type 2 diabetes have longer hospital admission.

Polycystic ovary syndrome (PCOS) has been traditionally perceived as a reproductive disorder due to its most common presentation with menstrual dysfunction and infertility. However, it is now clear that women with PCOS are at increased risk of metabolic dysfunction, from impaired glucose tolerance and type 2 diabetes mellitus to nonalcoholic fatty liver disease and cardiovascular disease. PCOS is characterised by androgen excess, with cross-sectional data showing that hyperandrogenism is directly complicit in the development of metabolic complications. Recent studies have also shown that C11-oxy C19 androgens are emerging to be clinically and biochemically significant in PCOS, thus emphasising the importance of understanding the impact of both classic and C11-oxy C19 androgens on women’s health. Here we discuss androgen metabolism in the context of PCOS, and dissect the role played by androgens in the development of metabolic disease through their effects on metabolic target tissues in women.

Background Simulation via Instant Messaging - Birmingham Advance (SIMBA) aimed to improve clinicians’ confidence in managing various clinical scenarios during the COVID-19 pandemic. Methods Five SIMBA sessions were conducted between May and August 2020. Each session included simulation of scenarios and interactive discussion. Participants’ self-reported confidence, acceptance, and relevance of the simulated cases were measured. Results Significant improvement was observed in participants’ self-reported confidence (overall n = 204, p<0.001; adrenal n = 33, p<0.001; thyroid n = 37, p<0.001; pituitary n = 79, p<0.001; inflammatory bowel disease n = 17, p<0.001; acute medicine n = 38, p<0.001). Participants reported improvements in clinical competencies: patient care 52.0% (n = 106/204), professionalism 30.9% (n = 63/204), knowledge on patient management 84.8% (n = 173/204), systems-based practice 48.0% (n = 98/204), practice-based learning 69.6% (n = 142/204) and communication skills 25.5% (n = 52/204). Conclusion SIMBA is a novel pedagogical virtual simulation-based learning model that improves clinicians’ confidence in managing conditions across various specialties.

Summary Diabetic myonecrosis, also known as diabetic muscle infarction is a rare complication of diabetes mellitus usually associated with longstanding suboptimal glycaemic control. Although theories of atherosclerosis, diabetic microangiopathy, vasculitis, ischaemia-reperfusion injury and hypercoagulable state have been proposed to explain the pathophysiology, none of these have been able to individually explain the pathophysiology in entirety. Diabetic renal disease is the most common risk factor for developing DMN and its recurrence. The diagnosis is often missed due to lack of awareness and the presentation mimicking other conditions associated with DM. The routine laboratory investigations are often non-specific and do not provide much value in the diagnosis as well. Muscle biopsy can provide a definite diagnosis but is not currently recommended due to its invasiveness and association with prolonged time to symptoms resolution. Magnetic resonance imaging, in combination with classic history and risk factors can clinch the diagnosis. Treatment is generally analgesia and rest, although the former’s use may be limited in the presence of renal disease. Learning points: Diabetic myonecrosis is a rare complication of diabetes mellitus associated with longstanding suboptimal glycaemic control. Diabetic renal disease is a known risk factor, although the evidence is merely observational. Although muscle biopsy could provide a definite diagnosis, it is not recommended as it can prolong the disease process and should be reserved only for cases not responding to conventional treatment. Typical MRI findings in combination with classic symptoms and risk factors can clinch the diagnosis Current treatment recommendations include NSAIDs and/or aspirin (if not contraindicated) alongside bed rest. Physiotherapy is not recommended in the acute phase but should be started as soon as patient is discharged from hospital. Optimal glycaemic control is key to prevent recurrence.

Introduction: Simulation-based learning (SBL) has been increasingly used in both undergraduate and postgraduate medical training curricula. The aim of Simulation via Instant Messaging-Birmingham Advance (SIMBA) is to create a simple virtual learning environment to improve trainees’ self-reported confidence in diabetes and Endocrinology. Methods: This study was done as part of the continuous professional development for Health Education England West Midlands specialty trainees in diabetes and Endocrinology. Standardized transcripts of anonymized real-life endocrinology (endocrine session) and diabetes cases (diabetes session) were used in the simulation model. Trainees interacted with moderators through WhatsApp® in this model. All cases were then discussed in detail by a consultant endocrinologist with reference to local, national and international guidelines. Trainee acceptance rate and improvement in their self-reported confidence levels post-simulation were assessed.Results: 70.8% (n=17/24) and 75% (n=18/24) strongly agreed the simulation session accommodated their personal learning style and the session was engaging. 66.7% (n=16/24) strongly felt that the simulation was worth their time. In endocrine session, there was a significant improvement in trainees’ confidence in the management of craniopharyngioma (p=0.0179) and acromegaly (p=0.0025). There was a trend towards improved confidence levels to manage Cushing’s disease and macroprolactinoma. In diabetes session, there was a significant improvement in trainees’ confidence to interpret continuous glucose monitor readings (p = 0.01). There was a trend towards improvement for managing monogenic diabetes, hypoglycaemic unawareness and interpreting Libre readings. Overall, there was a significant improvement in trainees’ confidence in managing cases that were discussed post-simulation. Conclusion: SIMBA is an effective learning model to improve trainees’ confidence to manage various diabetes and endocrine case scenarios. More sessions with a variety of other specialty case scenarios is needed to further assess SIMBA’s effectiveness and application in other areas of medical training.