Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
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Review Meta Analysis
Incidence of Adverse Events in Adults Undergoing Procedural Sedation in the Emergency Department: A Systematic Review and Meta-analysis.
This was a systematic review and meta-analysis to evaluate the incidence of adverse events in adults undergoing procedural sedation in the emergency department (ED). ⋯ Serious adverse events during procedural sedation like laryngospasm, aspiration, and intubation are exceedingly rare. Quantitative risk estimates are provided to facilitate shared decision-making, risk communication, and informed consent.
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Comparative Study
Comparison of Four Bleeding Risk Scores to Identify Rivaroxaban-treated Patients With Venous Thromboembolism at Low Risk for Major Bleeding.
Outpatient treatment of acute venous thromboembolism (VTE) requires the selection of patients with a low risk of bleeding during the first few weeks of anticoagulation. The accuracy of four systems, originally derived for predicting bleeding in VTE treated with vitamin K antagonists (VKAs), was assessed in VTE patients treated with rivaroxaban. ⋯ Four scoring systems that use criteria obtained in routine clinical practice, derived to predict low bleeding risk with VKA treatment for VTE, identified patients with less than a 1% risk of major bleeding during full-course treatment with rivaroxaban.
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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.