The American journal of emergency medicine
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Multicenter Study
Comparison of two testing strategies for Mycoplasma genitalium in emergency department patients across a statewide health system.
Mycoplasma genitalium (Mgen) is a sexually transmitted infection (STI) that has an estimated prevalence in the general population of 2.3% in women and 1.1% in men aged 21-23 years. (Hilbert and Reno, 2018) A cross-sectional study conducted in a community emergency department (ED) determined that the prevalence of Mgen was 14.8% in asymptomatic female patients. (Centers for Disease Control and Prevention (CDC). Sexually Transmitted Infections Treatment Guidelines, 2021) The Centers for Disease Control and Prevention (CDC) 2021 STI Treatment Guidelines recommend testing for Mgen in select circumstances. This study aims to determine what testing strategy in ED patients results in the most appropriate treatment of Mgen based on CDC recommendations. ⋯ Evidence regarding the preferred testing strategy for Mgen is currently limited. This study demonstrates that testing all STI presenting patients for Mgen results in antibiotic overuse, so adhering to CDC testing recommendations is important. Prevalence of positive Mgen result in ED patients tested for STIs was similar to results of previously published literature. Risk factor analysis results could be used as a screening method to determine what patients should be considered for Mgen testing. Based on the results of this study, we recommend against including Mgen on the standard ED STI testing panel at this time.
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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.