The American journal of emergency medicine
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This study determined the vehicle-miles-traveled (VMT)-based injury rate for stand-up, dockless electric rental scooters (e-scooters), and compare it with the VMT-based injury rate for motor vehicle travel. ⋯ The observed VMT-based e-scooter injury rate was approximately 175 to 200 times higher than statewide or county specific injury rates for motor vehicle travel. These findings raise concerns about the potential higher injury rate associated with e-scooters, and highlight the need for further injury surveillance, research and prevention activities addressing this emerging transportation technology.
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Observational Study
Derivation of a prediction model for emergency department acute kidney injury.
Quality management of Acute Kidney Injury (AKI) is dependent on early detection, which is currently deemed to be suboptimal. The aim of this study was to identify combinations of variables associated with AKI and to derive a prediction tool for detecting patients attending the emergency department (ED) or hospital with AKI (ED-AKI). ⋯ A risk-stratification model for ED-AKI has been derived and internally validated. The discrimination of this model is objective and adequate. It requires refinement and external validation in more generalisable settings.
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Observational Study
Shock index as a predictor of mortality among the Covid-19 patients.
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Identifying acute kidney injury (AKI) early can inform medical decisions key to mitigation of injury. An AKI risk stratification tool, the renal angina index (RAI), has proven better than creatinine changes alone at predicting AKI in critically ill children. ⋯ This pilot study finds the aRAI to be a sensitive ED-based tool for ruling out the development of in-hospital AKI.