The American journal of emergency medicine
-
Improved data on spinal motion restriction (SMR) use can improve pediatric prehospital guidelines and inform the appropriate use of this procedure. We sought to evaluate the prevalence and factors associated with SMR among injured children in the prehospital setting. ⋯ We identified multiple factors associated with SMR use. These findings provide an opportunity to evaluate practices, track changes, and assess the impact of updated SMR guidelines in pediatric EMS.
-
A hiatal herniation, which is a common disease worldwide, is associated with various complications. However, hiatal herniation has rarely been reported to cause life-threatening complications in emergency settings. ⋯ The patient was ultimately diagnosed with obstructive shock with inferior vena cava compression attributed to hiatal herniation upon imaging. Clinicians should consider the possibility that hiatal herniation can cause obstructive shock with inferior vena cava compression and take immediate steps to stabilize the vital signs.
-
Observational Study
Exploring ChatGPT's potential in ECG interpretation and outcome prediction in emergency department.
Approximately 20 % of emergency department (ED) visits involve cardiovascular symptoms. While ECGs are crucial for diagnosing serious conditions, interpretation accuracy varies among emergency physicians. Artificial intelligence (AI), such as ChatGPT, could assist in ECG interpretation by enhancing diagnostic precision. ⋯ ChatGPT demonstrates moderate accuracy in ECG interpretation, yet its current limitations, especially in assessing critical cases, restrict its clinical utility in ED settings. Future research and technological advancements could enhance AI's reliability, potentially positioning it as a valuable support tool for emergency physicians.