Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
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Observational Study
Prevalence of Brain Injuries and Recurrence of Seizures in Children with Post Traumatic Seizures.
Computed tomography (CT) is often used in the emergency department (ED) evaluation of children with posttraumatic seizures (PTS); however, the frequency of traumatic brain injuries (TBIs) and short-term seizure recurrence is lacking. Our main objective was to evaluate the frequency of TBIs on CT and short-term seizure recurrence in children with PTS. We also aimed to determine the associations between the likelihood of TBI on CT with the timing of onset of PTS after the traumatic event and duration of PTS. Finally, we aimed to determine whether patients with normal CT scans and normal neurological examinations are safe for discharge from the ED. ⋯ Children with PTS have a high likelihood of TBI on CT, and those with TBI on CT frequently require neurosurgical interventions and frequently have recurrent seizures. Those without TBIs on CT, however, are at low risk of short-term recurrent seizures, and none required neurosurgical interventions. Therefore, if CT-negative and neurologically normal, patients with PTS may be safely considered for discharge from the ED.
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Acute appendicitis (AA) is the most common surgical emergency in children. Accurate and timely diagnosis is crucial but challenging due to atypical presentations and the inherent difficulty of obtaining a reliable history and physical examination in younger children. ⋯ Presence of AA is more likely in patients with undifferentiated abdominal pain migrating to the RLQ or when cough/hop pain is present in the physical examination. Once AA is suspected, no single history, physical examination, laboratory finding, or score attained on PAS can eliminate the need for imaging studies. Operating characteristics of ED-POCUS are similar to those reported for RUS in literature for diagnosis of AA. In ED patients suspected of AA, a positive ED-POCUS is diagnostic and obviates the need for CT or MRI while negative ED-POCUS is not enough to rule out AA.
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Specialized instruments to screen and diagnose mental health problems in children and adolescents are not yet standard components of clinical assessments in emergency departments (EDs). We conducted a systematic review to investigate the psychometric properties, accuracy, and performance metrics of instruments used in the ED to identify pediatric mental health and substance use problems. ⋯ From available evidence, we recommend that ED clinicians use 1) the HEADS-ED to rule in ED admission among pediatric patients with visits for mental health care, 2) the ASQ to rule out suicide risk among pediatric patients with any visit type, and 3) the DSM-IV two-item instrument to rule in/rule out alcohol use disorders among pediatric patients currently using alcohol. These instruments require minimal to no training or time commitment. We also recommend that clinicians become familiar with each instrument's psychometric properties to understand the quality of the evidence base. In this review, however, we identify methodologic limitations in the evidence base. To develop a robust evidence base, additional research is necessary.
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Multicenter Study Observational Study
Feasibility of Informed Consent for CT in Acute Trauma Patients.
Computed tomography (CT) is common for trauma victims, but is usually done without informing patients of potential risks or obtaining informed consent. ⋯ We found that informed consent for CT was likely feasible in over two-thirds of acute, adult trauma patients.
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Multicenter Study Observational Study
Emergency Department triage of traumatic head injury using brain electrical activity biomarkers: a multisite prospective observational validation trial.
A brain electrical activity biomarker for identifying traumatic brain injury (TBI) in emergency department (ED) patients presenting with high Glasgow Coma Scale (GCS) after sustaining a head injury has shown promise for objective, rapid triage. The main objective of this study was to prospectively evaluate the efficacy of an automated classification algorithm to determine the likelihood of being computed tomography (CT) positive, in high-functioning TBI patients in the acute state. ⋯ Using an EEG-based biomarker high accuracy of predicting the likelihood of being CT+ was obtained, with high NPV and sensitivity to any traumatic bleeding and to hematomas. Specificity was significantly higher than standard CT decision rules. The short time to acquire results and the ease of use in the ED environment suggests that EEG-based classifier algorithms have potential to impact triage and clinical management of head-injured patients.