The American journal of emergency medicine
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Observational Study
Assessing the precision of artificial intelligence in emergency department triage decisions: Insights from a study with ChatGPT.
The rise in emergency department presentations globally poses challenges for efficient patient management. To address this, various strategies aim to expedite patient management. Artificial intelligence's (AI) consistent performance and rapid data interpretation extend its healthcare applications, especially in emergencies. The introduction of a robust AI tool like ChatGPT, based on GPT-4 developed by OpenAI, can benefit patients and healthcare professionals by improving the speed and accuracy of resource allocation. This study examines ChatGPT's capability to predict triage outcomes based on local emergency department rules. ⋯ Our findings suggest GPT-4 possess outstanding predictive skills in triaging patients in an emergency setting. GPT-4 can serve as an effective tool to support the triage process.
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The effect of a prophylactic distal perfusion catheter (DPC) after extracorporeal cardiopulmonary resuscitation (ECPR) in patients with out-of-hospital cardiac arrest (OHCA) remains unclear. Therefore, we aimed to clarify the association between prophylactic DPC and prognosis in patients with OHCA undergoing ECPR. ⋯ The implementation of prophylactic DPC after ECPR for patients with OHCA may not contribute to survival at discharge.
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Observational Study
Low respiratory quotient correlates with high mortality in patients undergoing mechanical ventilation.
Oxygen consumption (VO2), carbon dioxide generation (VCO2), and respiratory quotient (RQ), which is the ratio of VO2 to VCO2, are critical indicators of human metabolism. To seek a link between the patient's metabolism and pathophysiology of critical illness, we investigated the correlation of these values with mortality in critical care patients. ⋯ Low RQ correlated with high mortality, which may potentially indicate a decompensation of the oxygen metabolism in critically ill patients.
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Out-of-hospital cardiac arrest (OHCA) victims in rural communities have worse outcomes despite higher rates of bystander cardiopulmonary resuscitation (CPR) than urban communities. In this retrospective cohort study we attempt to evaluate selected aspects of the continuum of care, including post-arrest care, for rural OHCA victims, and we investigated factors that could contribute to rural areas having higher rates of bystander CPR. ⋯ Patients in rural areas of Texas have lower survival after OHCA compared to patients in urban areas, despite having significantly greater rates of bystander CPR and PCI. We did not find a link between response time and bystander CPR rates.
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To indicate predictors of witnessed hypothermic cardiac arrest. ⋯ In patients with severe accidental hypothermia, the occurrence of HCA is associated with a lower heart rate, hypoxemia, ventricular arrhythmia, lower BE, and lower blood pressure. These parameters can be helpful in the early selection of high-risk patients and their allocation to extracorporeal rewarming facilities.