ABSTRACT
Objectives: A novel 'subscription-type' funding model was launched in England in July 2022 for ceftazidime/avibactam and cefiderocol. We explored the views of infection consultants on important aspects of the delinked antimicrobial funding model. Methods: An online survey was sent to all infection consultants in NHS acute hospitals in England. Results: The response rate was 31.2% (235/753). Most consultants agreed the model is a welcome development (69.8%, 164/235), will improve treatment of drug-resistant infections (68.5%, 161/235) and will stimulate research and development of new antimicrobials (57.9%, 136/235). Consultants disagreed that the model would lead to reduced carbapenem use and reported increased use of cefiderocol post-implementation. The presence of an antimicrobial pharmacy team, requirement for preauthorization by infection specialists, antimicrobial stewardship ward rounds and education of infection specialists were considered the most effective antimicrobial stewardship interventions. Under the new model, 42.1% (99/235) of consultants would use these antimicrobials empirically, if risk factors for antimicrobial resistance were present (previous infection, colonization, treatment failure with carbapenems, ward outbreak, recent admission to a high-prevalence setting).Significantly higher insurance and diversity values were given to model antimicrobials compared with established treatments for carbapenem-resistant infections, while meropenem recorded the highest enablement value. Use of both 'subscription-type' model drugs for a wide range of infection sites was reported. Respondents prioritized ceftazidime/avibactam for infections by bacteria producing OXA-48 and KPC and cefiderocol for those producing MBLs and infections with Stenotrophomonas maltophilia, Acinetobacter spp. and Burkholderia cepacia. Conclusions: The 'subscription-type' model was viewed favourably by infection consultants in England.
ABSTRACT
Cardiovascular disease (CVD) is the principal cause of mortality and morbidity globally. With the pressures for improved care and translation of the latest medical advances and knowledge to an actionable plan, clinical decision-making for cardiologists is challenging. Artificial Intelligence (AI) is a field in computer science that studies the design of intelligent agents which take the best feasible action in a situation. It incorporates the use of computational algorithms which simulate and perform tasks that traditionally require human intelligence such as problem solving and learning. Whilst medicine is arguably the last to apply AI in its everyday routine, cardiology is at the forefront of AI revolution in the medical field. The development of AI methods for accurate prediction of CVD outcomes, non-invasive diagnosis of coronary artery disease (CAD), detection of malignant arrythmias through wearables, and diagnosis, treatment strategies and prediction of outcomes for heart failure (HF) patients, demonstrates the potential of AI in future cardiology. With the advancements of AI, Internet of Things (IoT) and the promotion of precision medicine, the future of cardiology will be heavily based on these innovative digital technologies. Despite this, ethical dilemmas regarding the implementation of AI technologies in real-world are still unaddressed.
ABSTRACT
We present a 52-year-old woman who was admitted to the emergency department with a short history of palpitations, sweating and nausea. An electrocardiogram (ECG) that was performed suggested inferolateral ischaemia with a significant troponin rise. The patient underwent an invasive coronary angiogram that showed mild non-obstructive coronary disease. She was thus given a provisional diagnosis of myocardial infarction with non-obstructive arteries (MINOCA), treated as an acute coronary syndrome (ACS) and subsequently discharged home. The patient represented within 72 hours with a recurrence of symptoms and a further troponin rise. While on the ward severe recurrent orthostatic hypertensive episodes were noted. Further investigations revealed increased urinary and plasma metanephrines, increased plasma catecholamines and imaging revealed a left adrenal 5.7 cm mass, demonstrating probable pheochromocytoma. The patient was treated with curative surgery. This case highlights the importance of thorough history-taking in patients with atypical symptoms for acute coronary syndrome and diagnosed with MINOCA.
