Annals of emergency medicine
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There is increasing interest in harnessing artificial intelligence to virtually triage patients seeking care. The objective was to examine the reliability of a virtual machine learning algorithm to remotely predict acuity scores for patients seeking emergency department (ED) care by applying the algorithm to retrospective ED data. ⋯ This machine learning algorithm needs further refinement before being safely implemented for patient use.
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Social determinants of health contribute to disparities in pediatric health and health care. Our objective was to synthesize and evaluate the evidence on the association between social determinants of health and emergency department (ED) outcomes in pediatric populations. ⋯ Social determinants of health, particularly race, socioeconomic deprivation, proximity to an ED, and language, play important roles in ED care-seeking patterns of children and families. Increased utilization of ED services by children from racial minority and lower socioeconomic status groups may reflect barriers to health insurance and access to health care, including primary and subspecialty care, and/or poorer overall health, necessitating ED care. An intersectional approach is needed to better understand the trajectories of disparities in pediatric ED outcomes and to develop, implement, and evaluate future policies.
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The alpha-gal syndrome is a recently described cause of anaphylaxis to red meat that has been increasing in frequency over time. It is related to Lone Star tick bites in the United States and occurs in many other parts of the world. It is especially common in the southeastern United States. ⋯ As many as 10% of patients diagnosed with idiopathic anaphylaxis have alpha-gal syndrome in some parts of the United States. The only current treatment is a meat-free diet. Clinician awareness of alpha-gal syndrome is low, and because severe recurrent life-threatening episodes can occur, it is an important condition for emergency clinicians to be aware of.