Articles: emergency-medical-services.
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Overdose fatalities are increasingly attributed to synthetic opioids, including fentanyl, which may be added to samples of illicit substances unknowingly to the user. As recently as April 2023, the Centers for Disease Control and Prevention has also raised awareness of the risks of xylazine, an animal tranquilizer that has been found in adulterated samples of illicit substance. ⋯ In this article, we advocate for emergency medical services to distribute fentanyl and xylazine test strips. We also critically evaluate legal and other barriers to implementation.
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Prehospital trauma systems are designed to ensure optimal survival from critical injuries by triaging and transporting such patients to the most appropriate hospital in a timely manner. ⋯ In the context of an inclusive trauma system and an established prehospital major trauma protocol, increasing prehospital transport times and scene location were not associated with increased mortality.
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A prehospital bypass strategy was suggested for large vessel occlusion. This study aimed to evaluate the effect of a bypass strategy using the gaze-face-arm-speech-time test (G-FAST) implemented in a metropolitan community. ⋯ The prehospital bypass strategy with G-FAST showed benefits for stroke patients.
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Prompt diagnosis of acute coronary syndrome (ACS) using a 12-lead electrocardiogram (ECG) is a critical task for emergency physicians. While computerized algorithms for ECG interpretation are limited in their accuracy, machine learning (ML) models have shown promise in several areas of clinical medicine. We performed a systematic review to compare the performance of ML-based ECG analysis to clinician or non-ML computerized ECG interpretation in the diagnosis of ACS for emergency department (ED) or prehospital patients. ⋯ ML models have overall higher discrimination and sensitivity but lower specificity than clinicians and non-ML software in ECG interpretation for the diagnosis of ACS. ML-based ECG interpretation could potentially serve a role as a "safety net", alerting emergency care providers to a missed acute MI when it has not been diagnosed. More rigorous primary research is needed to definitively demonstrate the ability of ML to outperform clinicians at ECG interpretation.