Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
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There is a lack of consensus regarding the role of investigations among patients presenting to the emergency department (ED) with recurrent seizures. The aim of this systematic review was to determine the frequency and utility of commonly requested investigations for nontrauma patients presenting to the ED with recurrent seizures. ⋯ In this population, CT brain scans appeared to be performed uncommonly but with moderate rates of abnormal findings. In the absence of prolonged alteration of consciousness, a history of brain tumor, or positive neurologic findings, however, neuroimaging was of low yield. Given the heterogeneity and potential limitations of these studies, further research on this topic is required.
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Multicenter Study
Relationship between cooling time and neurological outcomes in targeted temperature management.
The relationship between cooling time (CT) variables and neurological outcomes is controversial. We evaluated the relationship between CT and neurological outcomes in out-of-hospital cardiac arrest (OHCA) patients treated with targeted temperature management (TTM). ⋯ We did not find a relationship between CT and neurological outcomes at 6 months.
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Randomized Controlled Trial
Point-of-Care Echocardiography of the Right Heart Improves Acute Heart Failure Risk Stratification for Low-Risk Patients: The REED-AHF Prospective Study.
Validated acute heart failure (AHF) clinical decision instruments (CDI) insufficiently identify low-risk patients meriting consideration of outpatient treatment. While pilot data show that tricuspid annulus plane systolic excursion (TAPSE) is associated with adverse events, no AHF CDI currently incorporates point-of-care echocardiography (POCecho). We evaluated whether TAPSE adds incremental risk stratification value to an existing CDI. ⋯ TAPSE increased detection of low-risk AHF patients, after use of a validated CDI, at risk thresholds more conservative than standard of care.
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Review
Prediction Models for Severe Manifestations and Mortality due to COVID-19: A Systematic Review.
Throughout 2020, the coronavirus disease 2019 (COVID-19) has become a threat to public health on national and global level. There has been an immediate need for research to understand the clinical signs and symptoms of COVID-19 that can help predict deterioration including mechanical ventilation, organ support, and death. Studies thus far have addressed the epidemiology of the disease, common presentations, and susceptibility to acquisition and transmission of the virus; however, an accurate prognostic model for severe manifestations of COVID-19 is still needed because of the limited healthcare resources available. ⋯ Several prognostic models for COVID-19 were identified, with varying clinical score performance. Nine studies that had a low risk of bias and low concern for applicability, one from a general public population and hospital setting. The most promising and well-validated scores include Clift et al.,15 and Knight et al.,18 which seem to have accurate prediction models that clinicians can use in the public health and emergency department setting.
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Since its founding in 1989, the Society for Academic Emergency Medicine (SAEM) has accepted thousands of abstracts for presentation at its annual meeting. We reviewed abstracts to characterize temporal changes in study design, abstract topics, quality scores, and proportion of abstracts published as manuscripts. ⋯ Over the past 30 years, there have been significant changes to the study designs, topics, and quality scores of SAEM meeting abstracts. However, conversion of abstracts to published manuscripts remains a challenge.