The American journal of emergency medicine
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Bacteremia is a common but critical condition with high mortality that requires timely and optimal treatment in the emergency department (ED). The prediction of bacteremia at the ED during triage and disposition stages could support the clinical decisions of ED physicians regarding the appropriate treatment course and safe ED disposition. This study developed and validated machine learning models to predict bacteremia in the emergency department during triage and disposition stages. ⋯ The Triage XGB model could be used to identify patients with a low risk of bacteremia immediately after initial ED triage. The Disposition XGB model showed excellent discriminative performance.
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To assess the prevalence of Critical or Emergent patient classification among pregnant patients presenting to the Emergency Department (ED) and to identify characteristics that discriminate between patients requiring Emergency care from those who can be safely triaged to the ambulatory setting. ⋯ Patients with a history of ectopic pregnancy, heavy bleeding in the past two hours, and/or prior presentation to the ED in the current pregnancy had the highest risk of needing emergency-level care. The vast majority of patients presenting to the ED with early pregnancy complaints were discharged without intervention.
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Literature regarding trends for incidence and mortality of scleroderma renal crisis (SRC) in systemic sclerosis (SSc) within the United States (US) emergency departments (EDs) is limited. ⋯ SRC is a relatively rare medical emergency. Although there has been a significant rise in the rate of SRC among SSc patients over the study years, mortality rates had remained steady. SSc patients with CHF should be considered to have low threshold for admission to inpatient services from EDs.
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Obesity is a growing epidemic associated with higher rates of metabolic disease, heart disease and all-cause mortality. Heavier patients may require more advanced resources and specialized equipment. We hypothesize that increasing patient weight will be associated with longer prehospital on-scene times. ⋯ Patient weight above 300 pounds was associated with significantly longer on-scene time. These patients were more likely to be hypoxic, sustain a cardiac arrest, and less likely to walk to the ambulance.
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Triage plays an essential role in emergency medical care. It is crucial to adopt appropriate triage in a mass casualty incident (MCI) when resources are limited. The simple triage and rapid treatment (START) protocol is commonly used worldwide; however, the effectiveness of the START protocol for emergency department (ED) triage is unclear. This study aimed to examine the accuracy of START for the ED triage of victims following a MCI. ⋯ This study demonstrated poor agreement between START categories, as determined in the ED, and the consensus-based standard categories. However, the START protocol was acceptable in terms of identifying emergent patients (100% sensitivity for the immediate and deceased categories) and predicting ED disposition (surgery, admission, and ICU/ED mortality). Although START is not perfect, our findings suggest that it could be used for the ED triage of trauma-related MCI victims.