Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
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Suggestive radiographic studies with nonvisualization of the appendix can present a challenge to clinicians in the evaluation of pediatric abdominal pain. The primary objective of this study was to quantify the accuracy of magnetic resonance imaging (MRI) and of ultrasound (US) in the setting of nonvisualization of the appendix. Secondary objectives reported include sensitivity of MRI and US overall and correlation between MRI and US for diagnosis of appendicitis. ⋯ Magnetic resonance imaging without secondary signs of appendicitis is effective in excluding appendicitis regardless of whether the appendix is directly visualized, while otherwise negative RLQ US that fail to identify the appendix are less useful. Secondary signs of appendicitis without visualization of the appendix were not helpful regardless of radiographic modality. Results of MRI and US correlated moderately well.
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Pediatric asthma is a highly prevalent disease, affecting over 7 million U.S. children and accounting for 750,000 annual emergency department (ED) visits. Guidelines from the National Asthma Education and Prevention Program recommend limited use of chest radiography (CXR), complete blood counts (CBCs), and antibiotics when managing acute exacerbations of asthma. However, studies suggest frequent overutilization of these resources. The objective was to evaluate differences between pediatric and general EDs in rates of CXRs, CBCs, and use of antibiotics for pediatric asthma exacerbations. ⋯ There are substantial differences in diagnostic testing and antibiotic usage for management of acute exacerbations of asthma by ED type, suggesting potential resource overuse in general EDs. Future studies should focus on evaluating the effect of quality improvement efforts for ED asthma management.
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The authors have previously demonstrated highly reliable automated classification of free-text computed tomography (CT) imaging reports using a hybrid system that pairs linguistic (natural language processing) and statistical (machine learning) techniques. Previously performed for identifying the outcome of orbital fracture in unprocessed radiology reports from a clinical data repository, the performance has not been replicated for more complex outcomes. ⋯ A hybrid NLP and machine learning automated classification system continues to show promise in coding free-text electronic clinical data. For complex outcomes, it can reliably identify negative reports, but manual review of positive reports may be required. As such, it can still streamline data collection for clinical research and performance improvement.
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Selective aortic arch perfusion (SAAP) uses a thoracic aortic balloon occlusion catheter for heart and brain perfusion in cardiac arrest to achieve return of spontaneous circulation (ROSC). SAAP with oxygenated stored blood was studied in a model of hemorrhage-induced cardiac arrest. The study hypothesis was that intra-aortic calcium coadministration would be required to maintain normal aortic arch blood ionized calcium during SAAP and to achieve ROSC. ⋯ Selective aortic arch perfusion with stored whole blood or packed RBCs requires simultaneous intra-aortic calcium infusion to overcome citrate anticoagulant calcium binding, avoid refractory ventricular fibrillation, and allow for ROSC.