The American journal of emergency medicine
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Trauma accounts for nearly half of all deaths of pregnant women. Pregnant women have distinct physiologic and anatomic characteristics which complicate their management following major trauma. ⋯ Trauma is a common cause of morbidity and mortality in pregnant women. Emergency clinicians must understand the evaluation and management of pregnant trauma patients.
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We explored the relationships between electrocardiographic (ECG) abnormalities and the clinical outcomes and mortality of patients with non-traumatic aneurysmal subarachnoid hemorrhages (SAHs). ⋯ Patients with abnormal ECG findings exhibited unfavorable clinical outcomes and increased mortality rates. Abnormal ECG findings combined with higher Hunt-Hess or Fischer grade scores usefully predict adverse clinical outcomes in and mortality of SAH patients.
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Bariatric surgery is becoming increasingly common and postoperative patients often present to the emergency department (ED) with complications. We sought to describe the presenting complaints, management, and outcomes of postoperative bariatric surgery patients seen in the ED. ⋯ This is the first detailed health records review of postoperative bariatric patients seen in the ED in the emergency medicine literature. Those presenting with abdominal pain were more likely to undergo CT abdomen and a surgical procedure. Similarly, those presenting within 30 days of surgery were more likely to have significant CT findings and require hospital admission. Others presenting with primarily nausea and vomiting may improve with ED symptom management and be discharged home with bariatric team follow-up.
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Comparative Study
Comparative analysis of ChatGPT, Gemini and emergency medicine specialist in ESI triage assessment.
The term Artificial Intelligence (AI) was first coined in the 1960s and has made significant progress up to the present day. During this period, numerous AI applications have been developed. GPT-4 and Gemini are two of the best-known of these AI models. As a triage system The Emergency Severity Index (ESI) is currently one of the most commonly used for effective patient triage in the emergency department. The aim of this study is to evaluate the performance of GPT-4, Gemini, and emergency medicine specialists in ESI triage against each other; furthermore, it aims to contribute to the literature on the usability of these AI programs in emergency department triage. ⋯ In conclusion, our study shows that both GPT-4 and Gemini can accurately triage critical and urgent patients in ESI 1&2 groups at a high rate. Furthermore, GPT-4 has been more successful in ESI triage for all patients. These results suggest that GPT-4 and Gemini could assist in accurate ESI triage of patients in emergency departments.
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To assess the association between ambient heat and all-cause and cause-specific emergency department (ED) visits and acute hospitalizations among Medicare beneficiaries in the conterminous United States. ⋯ Among Medicare beneficiaries from 2008 to 2019, exposure to daily mean temperature ≥ 95th percentile was associated with increased risk of heat-related ED visits, with stronger associations seen among beneficiaries <65, males, and patients with low socioeconomic position. Further longitudinal studies are needed to understand the impact of heat duration, intensity, and frequency on cause-specific hospitalization outcomes.