Articles: emergency-services.
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Multicenter Study
Emergency department organisation of critical care transfers in the UK.
Transport of the critically ill patient to or from the emergency department (ED) is a frequent occurrence. This study was designed to determine whether UK EDs currently have appropriate equipment, monitoring, staff training systems, and processes of care for transportation of the critically ill patient. ⋯ This study highlights inadequacies in provision of equipment and monitoring during interhospital transfer from the ED. Training and processes of care for transport of the critically ill are also suboptimum. Many departments are currently reviewing these processes to formalize and improve transfer training procedures and protocols.
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Multicenter Study
Analysis of current management of atrial fibrillation in the acute setting: GEFAUR-1 study.
Limited information relative to the management of atrial fibrillation in the emergency department (ED) daily practice is available. This study evaluates current management of atrial fibrillation in this setting to identify areas for practice improvement. ⋯ In our ED population, rate-control effectiveness is poor and rhythm control is not attempted in most recent-onset episodes. Methods to improve rate-control effectiveness, the selection of patients for rhythm control, and the use of electrocardioversion appear warranted.
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Multicenter Study Comparative Study
Artificial neural network models for prediction of acute coronary syndromes using clinical data from the time of presentation.
Clinical and ECG data from presentation are highly discriminatory for diagnosis of acute coronary syndromes, whereas definitive diagnosis from serial ECG and cardiac marker protein measurements is usually not available for several hours. Artificial neural networks are computer programs adept at pattern recognition tasks and have been used to analyze data from chest pain patients with a view to developing diagnostic algorithms that might improve triage practices in the emergency department. The aim of this study is to develop and optimize artificial neural network models for diagnosis of acute coronary syndrome, to test these models on data collected prospectively from different centers, and to establish whether the performance of these models was superior to that of models derived using a standard statistical technique, logistic regression. ⋯ This study confirms that artificial neural networks can offer a useful approach for developing diagnostic algorithms for chest pain patients; however, the exceptional performance and simplicity of the logistic model militates in favor of logistic regression for the present task. Our artificial neural network models were well calibrated and performed well on unseen data from different centers. These issues have not been addressed in previous studies. However, and unlike in previous studies, we did not find the performance of artificial neural network models to be significantly different from that of suitably optimized logistic regression models.
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Multicenter Study Clinical Trial
Use of spiral computed tomography contrast angiography and ultrasonography to exclude the diagnosis of pulmonary embolism in the emergency department.
Spiral computed tomography (CT) contrast angiography is a promising imaging modality for the diagnosis of pulmonary embolism but the negative predictive value of this test remains controversial. We performed a multi-center prospective cohort study to determine the safety of relying on a negative spiral CT contrast angiography scan to exclude pulmonary embolism. Patients presenting to the Emergency Departments of three tertiary care institutions with clinically suspected pulmonary embolism were potentially eligible for the study. ⋯ Sixty-seven patients were confirmed to have pulmonary embolism and an additional 15 patients with negative CT scans had proximal deep vein thrombosis (DVT) on ultrasound for a total prevalence of venous thromboembolism of 82/489 (16.8%). Two of 409 patients who had pulmonary embolism excluded in the initial evaluation phase developed proximal venous thromboembolism (0.5%; 95% CI 0% to 1.8%) in the 3-month follow-up period. These findings suggest that the combination of a negative spiral CT contrast angiography scan and normal venous ultrasound imaging safely excludes the diagnosis of pulmonary embolism in the Emergency Department setting.
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Multicenter Study
Reliability of ophthalmic accident and emergency referrals: a new role for the emergency nurse practitioner?
Annual attendances at the accident and emergency (A&E) department of St Bartholomew's and The Royal London NHS Trust exceed 100,000 people of which 6% are ophthalmic. This study evaluated the accuracy of eye referrals from A&E senior house officers (SHOs) and emergency nurse practitioners (ENPs) and the impact any inaccuracies may have had on out of hours work. ⋯ This study found ENPs to be more accurate than A&E SHOs in history taking, recording visual acuity, describing ocular anatomy, and making provisional diagnoses. A significant reduction in out of hours ophthalmic workload may be achieved in the authors' unit if ENPs were to see all eye emergencies.