Brit J Hosp Med
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Advanced life support certification has traditionally been the gold standard of resuscitation training for doctors and has been shown to improve outcomes from cardiac arrest. In 2021, Health Education England removed named courses from mandatory Foundational Programme competencies, which has resulted in capping of reimbursement and reduced access to courses. This represents a drop in educational standards which is particularly concerning when the medical school curriculum has been shown to deliver inconsistent, poor-quality resuscitation training. Here we review the benefits and negatives of life support training, looking at both junior and senior clinicians with differing educational requirements.
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Sodium-glucose cotransporter 2 (SGLT-2) inhibitors are commonly prescribed in diabetes mellitus and increasingly for cardiorenal protection. They carry the risk of euglycaemic diabetic ketoacidosis (eDKA). Guidelines around the perioperative handling of these medications are limited and some evidence suggests that withholding them can lead to more surgical complications and poorer glycaemic control. This article gives an overview of arguments for and against withholding SGLT-2 inhibitors in the perioperative period.
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Aims/Background The relationship between retinal fundus hemorrhage and the severity of coronary artery lesions remains unclear. This study aimed to explore the incidence of fundus hemorrhage in patients at high risk of coronary heart disease (CHD) and to examine its correlation with the SYNTAX score, a tool used to assess the complexity of coronary artery disease. Methods This retrospective study consecutively enrolled patients undergoing coronary angiography (CAG) at Beijing Anzhen Hospital Hospital from June 2019 to January 2020. ⋯ The incidence of fundus hemorrhage was significantly higher in the hSS group compared to the lSS group (21.47% [38/177] vs. 7.56% [53/701], p < 0.001). Multivariate logistic regression analysis identified fundus hemorrhage, body mass index (BMI), and low-density lipoprotein cholesterol (LDL-C) as independent predictors of high SYNTAX scores. Conclusion Fundus hemorrhage is significantly associated with a higher SYNTAX score and may serve as a potential predictor of severe coronary artery lesions in clinical practice.
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Aims/Background The Geriatric Nutritional Risk Index (GNRI) is an effective tool for identifying malnutrition, and helps monitor the prognosis of patients undergoing maintenance hemodialysis. However, the association between the GNRI and cardiovascular or all-cause mortality in hemodialysis patients remains unclear. Therefore, this study investigated the correlation of the GNRI with all-cause and cardiovascular mortality in patients undergoing maintenance hemodialysis. ⋯ ROC curve analysis revealed that GNRI, age, and serum creatinine had moderate predictive value for mortality, with GNRI indicating an area under the curve (AUC) of 0.605 for all-cause mortality and 0.565 for cardiovascular mortality. Moreover, the N2 and N3 groups had a significantly reduced risk of cardiovascular mortality compared to the N1 group. Conclusion A lower GNRI is closely associated with a higher risk of all-cause and cardiovascular mortality in hemodialysis patients.
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Aims/Background The background for establishing and verifying a dehydration prediction model for elderly patients with post-stroke dysphagia (PSD) based on General Utility for Latent Process (GULP) is as follows: For elderly patients with PSD, GULP technology is utilized to build a dehydration prediction model. This aims to improve the accuracy of dehydration risk assessment and provide clinical intervention, thereby offering a scientific basis and enhancing patient prognosis. This research highlights the innovative application of GULP technology in constructing complex medical prediction models and addresses the special health needs of elderly stroke patients. ⋯ In the validation set, the AUC was 0.867 with a standard error of 0.025 and a 95% CI of 0.694 to 0.934. The optimal cutoff value here was 0.66, with a sensitivity of 80.16% and a specificity of 85.94%. Conclusion This study successfully established and validated a GULP-based dehydration prediction model for elderly patients with dysphagia following a stroke, demonstrating high application value.