Annals of emergency medicine
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Multicenter Study
Use of Machine Learning to Develop a Risk-Stratification Tool for Emergency Department Patients With Acute Heart Failure.
We use variables from a recently derived acute heart failure risk-stratification rule (STRATIFY) as a basis to develop and optimize risk prediction using additional patient clinical data from electronic health records and machine-learning models. ⋯ Use of a machine-learning model with additional variables improved 30-day risk prediction compared with conventional approaches.
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Multicenter Study
Management and Outcomes of Children With Nursemaid's Elbow.
We identify the incidence and predictors of missed fracture and characterize patterns of radiography performance in children with a diagnosis of radial head subluxation in the emergency department (ED) setting. ⋯ Radiographs were obtained for greater than one quarter of children presenting to a pediatric ED with radial head subluxation, with wide variation between hospitals. Missed fractures were rare. Future efforts should aim to reduce unnecessary radiography in this population.