The American journal of emergency medicine
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The purpose of this article is to summarize pharmacotherapy related emergency medicine (EM) literature indexed in 2023. Articles were selected utilizing a modified Delphi approach. ⋯ In all, this article summarizes and provides commentary on the potential clinical impact of 13 articles, 6 guidelines, and 5 meta-analyses covering topics including guideline releases and updates on rapid sequence intubation in the critically ill, managing cardiac arrest or life-threatening toxicity due to poisoning, and management of major bleeding following trauma. Also discussed are ongoing controversies surrounding fluid resuscitation, time and treatment modalities for ischemic stroke, steroid use in community-acquired pneumonia, targeted blood product administration, and much more.
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Botulism is a serious condition that carries with it a high rate of morbidity and mortality. ⋯ An understanding of botulism and its many potential mimics can assist emergency clinicians in diagnosing and managing this deadly disease.
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Review Meta Analysis
Efficacy of second-line anticonvulsant agents with adult status epilepticus: A systematic review and network meta-analysis.
Status epilepticus (SE) is potentially life-threatening, however, it is unclear which antiepileptic drugs (AEDs) should be used as second-line AEDs. ⋯ PHB may have been the most effective for seizure termination as second-line AEDs in adult patients with SE. However, the certainty of almost all comparisons was "very low", and careful interpretation is essential.
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Review Meta Analysis
Efficacy of second-line anticonvulsant agents with adult status epilepticus: A systematic review and network meta-analysis.
Status epilepticus (SE) is potentially life-threatening, however, it is unclear which antiepileptic drugs (AEDs) should be used as second-line AEDs. ⋯ PHB may have been the most effective for seizure termination as second-line AEDs in adult patients with SE. However, the certainty of almost all comparisons was "very low", and careful interpretation is essential.
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Artificial intelligence (AI) has emerged as a potentially transformative force, particularly in the realm of emergency medicine (EM). The implementation of AI in emergency departments (ED) has the potential to improve patient care through various modalities. However, the implementation of AI in the ED presents unique challenges that influence its clinical adoption. This scoping review summarizes the current literature exploring the barriers and facilitators of the clinical implementation of AI in the ED. ⋯ There is increasing literature on AI implementation in the ED. Our research suggests that the most common barrier facing AI implementation in the ED is model interpretability and explainability. More primary research investigating the implementation of specific AI tools should be undertaken to help facilitate their successful clinical adoption in the ED.