Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
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Emergency medicine in low- and middle-income countries (LMICs) is hindered by lack of research into patient outcomes. Chief complaints (CCs) are fundamental to emergency care but have only recently been uniquely codified for an LMIC setting in Uganda. It is not known whether CCs independently predict emergency unit patient outcomes. ⋯ High-risk CCs were identified and found to predict increased 3-day mortality independent of vital signs and other data available at triage. This list can be used to expand local triage systems and inform emergency training programs. The methodology can be reproduced in other LMIC settings to reflect their local disease patterns.
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Randomized Controlled Trial
A Randomized Controlled Trial of Novel Loop Drainage Technique versus Standard Incision and Drainage in the Treatment of Skin Abscesses.
The objective was to compare the failure rate of incision and drainage (I&D) with LOOP technique versus I&D with standard packing technique in adults and children presenting to the emergency department (ED) with subcutaneous abscess. ⋯ The LOOP and packing techniques had similar failure rates for treatment of subcutaneous abscesses in adults, but the LOOP technique had significantly fewer failures in children. Overall, pain and patient satisfaction were significantly better in patients treated using the LOOP technique.
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Comment Review
Out-of-Hospital Circulatory Measures To Identify Patients With Serious Injury: A Systematic Review.
The objective was to systematically identify and summarize out-of-hospital measures of circulatory compromise as diagnostic predictors of serious injury, focusing on measures usable by emergency medical services to inform field triage decisions. ⋯ Out-of-hospital circulatory measures are associated with poor to fair discrimination for identifying trauma patients with serious injuries. Many seriously injured patients have normal circulatory measures (low sensitivity), but when present, the measures are highly specific for identifying patients with serious injuries.
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Recognized as a premier approach for adverse event (AE) detection, trigger tools have been developed for multiple clinical settings outside the emergency department (ED). We recently derived and tested an ED trigger tool (EDTT) with enhanced features for high-yield detection of harm, consisting of 30 triggers associated with AEs. In this study, we validate the EDTT in an independent sample and compare record selection approaches to optimize yield for quality improvement. ⋯ In this single-site study of the EDTT we observed high levels of validity in trigger selection, yield, and representativeness of AEs, with yields that are superior to estimates for traditional approaches to AE detection. Record selection using weighted triggers outperforms a trigger count threshold approach and far outperforms random sampling from records with at least one trigger. The EDTT is a promising efficient and high-yield approach for detecting all-cause harm to guide quality improvement efforts in the ED.
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Chronic obstructive pulmonary disease exacerbations (eCOPD) can be life-threatening and costly. Emergency department (ED) observation units (ED-Obs) offer short-term care to safely reduce preventable hospitalizations. Accurately identifying eCOPD patients who can be discharged safely will improve outcomes. ⋯ Routine clinical variables do not identify eCOPD patients who can be safely discharged from ED-Obs. Change in resting Borg score during the course of ED-Obs treatment safely identifies patients for discharge. Prospective, external validation is needed to incorporate serial Borg scores in ED-Obs disposition decision for improved safety.