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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This study aimed to comprehensively compare the characteristics of out-of-hospital cardiac arrest (OHCA) with medical and non-medical origins attributed to traffic accidents and explore the potential association between the cases with a medical origin and neurologically favorable outcomes. ⋯ In this retrospective study, the occurrence of OHCAs of medical origin involving traffic accidents were associated with favorable neurological outcomes. These cases more frequently demonstrated favorable factors for survival compared to those classified as of non-medical origin. The findings have important implications for public health and EMS professionals, they will guide future research aimed at optimizing prehospital care strategies and improving survival rates for similar cases.
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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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Observational Study
Predicting septic shock in patients with sepsis at emergency department triage level using systolic and diastolic shock index.
Identifying patients with at a high risk of progressing to septic shock is essential. Due to systemic vasodilation in the pathophysiology of septic shock, the use of diastolic blood pressure (DBP) has emerged. We hypothesized that the initial shock index (SI) and diastolic SI (DSI) at the emergency department (ED) triage can predict septic shock. ⋯ The SI and DSI were significant predictors of progression to septic shock. Our findings suggest an association between DSI and vasopressor requirement. We propose stratifying lower tertile as being at low risk, middle tertile as being at intermediate risk, and upper tertile as being at high risk of progression to septic shock. This system can be applied simply at the ED triage.