Articles: emergency-department.
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Background and Objectives: Acute heart failure (AHF) is a life-threatening condition frequently encountered in the emergency department (ED). Identifying reliable prognostic indicators for in-hospital mortality is crucial for risk stratification and the appropriate management of AHF patients. This study aimed to assess the most effective method for predicting in-hospital mortality among various physiological parameters in patients with AHF presenting to the ED. ⋯ A RAM index > 18.6 demonstrated a 7.36-fold higher risk of in-hospital mortality with a sensitivity of 0.80, specificity of 0.68, and negative predictive value of 0.97. Conclusions: The RAM index is an effective tool to predict mortality in AHF patients presenting to the ED. Its superior performance compared to traditional SI-based parameters suggests that the RAM index can aid in risk stratification and the early identification of high-risk patients, facilitating timely and aggressive treatment strategies.
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A short systematic review was undertaken to assess whether adult patients presenting to the ED with a first seizure require a CT head scan to rule out emergent intracranial pathology. MEDLINE, EMBASE, Cochrane and Google Scholar databases were searched. ⋯ Our results indicate that adults presenting with a first seizure are a high-yield group for CT with a number needed to scan (NNS) between 10 and 19 for findings that would change management in ED, such as haemorrhage, infarction and tumours. We believe that this NNS is sufficiently low to justify the routine use of neuroimaging for these patients in emergency care.
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The selection of patients who are going to be admitted to an emergency department observation unit (EDOU) is essential for the good management of these units, intended fundamentally to avoid unnecessary hospitalization of patients. This is especially important when dealing with older patients. It would be important to know what factors are associated with discharge home and to have a clinical predictive scale that appropriately selects older patients who are going to be admitted to an EDOU. ⋯ There are factors associated with a greater probability of discharge home of older patients admitted to EDOUs. Prediction at the individual level remains elusive, as the best model obtained in this study did not have sufficient validity to be applied in the clinical setting.
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Junior doctors joining EDs are required to rapidly acquire new knowledge and skills, but there is little research describing how this process can be facilitated. We aimed to understand what would make ED formal induction and early socialisation more effective. ⋯ Effective socialisation, consistent with previous literature, was identified as critical. Junior doctors see consultant behaviours and interactions as key to creating a safe learning space.