Introduction: Atrial fibrillation (AF) is the most common cardiac dysrhythmia. Current guidelines recommend obtaining thyroid-stimulating hormone (TSH) levels in all patients presenting with AF.Our aim was to investigate the utility of TSH levels for emergency department (ED) patients with a final diagnosis of AF while externally validating and potentially refining a clinical decision rule that recommends obtaining TSH levels only in patients with previous stroke, hypertension, or thyroid disease. 

Methods: We conducted a retrospective, cross-sectional study of consecutive patients who presented to an ED from January 2011 to March 2014 with a final ED diagnosis of AF. Charts were reviewed for historical features and TSH level. We assessed the sensitivity and specificity of the previously derived clinical decision rule.

Results: Of the 1,964 patients who were eligible, 1,458 (74%) had a TSH level available for analysis. The overall prevalence of a low TSH (<0.3µIU/mL) was 2% (n=36). Elevated TSH levels (>5µIU/mL) were identified in 11% (n=159). The clinical decision rule had a sensitivity of 88.9% (95% CI [73.0-96.4]) and a specificity of 27.5% (95% CI [25.2-29.9]) for identifying a low TSH. When analyzed for its ability to identify any abnormal TSH values (high or low TSH), the sensitivity and specificity were 74.4% (95% CI [67.5-80.2]) and 27.3% (95% CI [24.9-29.9]), respectively. 

Conclusion: Low TSH in patients presenting to the ED with a final diagnosis of AF is rare (2%). The sensitivity of a clinical decision rule including a history of thyroid disease, hypertension, or stroke for identifying low TSH levels in patients presenting to the ED with a final diagnosis of atrial fibrillation was lower than originally reported (88.9% vs. 93%). When elevated TSH levels were included as an outcome, the sensitivity was reduced to 74.4%. We recommend that emergency medicine providers not routinely order TSH levels for all patients with a primary diagnosis of AF. Instead, these investigations can be limited to patients with new onset AF or those with a history of thyroid disease with no known TSH level within three months . [West J Emerg Med. 2015;16(1):–0.]

Introduction: Current cognitive sciences describe decision-making using the dual-process theory, where a System 1 is intuitive and a System 2 decision is hypothetico-deductive. We aim to compare the performance of these systems in determining patient acuity, disposition and diagnosis.

Methods: Prospective observational study of emergency physicians assessing patients in the emergency department of an academic center. Physicians were provided the patient’s chief complaint and vital signs and allowed to observe the patient briefly. They were then asked to predict acuity, final disposition (home, intensive care unit (ICU), non-ICU bed) and diagnosis. A patient was classified as sick by the investigators using previously published objective criteria.

Results: We obtained 662 observations from 289 patients. For acuity, the observers had a sensitivity of 73.9% (95% CI [67.7-79.5%]), specificity 83.3% (95% CI [79.5-86.7%]), positive predictive value 70.3% (95% CI [64.1-75.9%]) and negative predictive value 85.7% (95% CI [82.0-88.9%]). For final disposition, the observers made a correct prediction in 80.8% (95% CI [76.1-85.0%]) of the cases. For ICU admission, emergency physicians had a sensitivity of 33.9% (95% CI [22.1-47.4%]) and a specificity of 96.9% (95% CI [94.0-98.7%]). The correct diagnosis was made 54% of the time with the limited data available.

Conclusion: System 1 decision-making based on limited information had a sensitivity close to 80% for acuity and disposition prediction, but the performance was lower for predicting ICU admission and diagnosis. System 1 decision-making appears insufficient for final decisions in these domains but likely provides a cognitive framework for System 2 decision-making.

Introduction: Compassion fatigue (CF) is the emotional and physical burden felt by those helping others in distress, leading to a reduced capacity and interest in being empathetic towards future suffering. Emergency care providers are at an increased risk of CF secondary to their first responder roles and exposure to traumatic events. We aimed to investigate the current state of compassion fatigue among emergency medicine (EM) resident physicians, including an assessment of contributing factors.

Methods: We distributed a validated electronic questionnaire consisting of the Professional Quality of Life Scale with subscales for the three components of CF (compassion satisfaction, burnout and secondary traumatic stress), with each category scored independently. We collected data pertaining to day- versus night-shift distribution, hourly workload and child dependents. We included residents in EM, neurology, orthopedics, family medicine, pediatrics, obstetrics, and general surgery.

Results: We surveyed 255 residents, with a response rate of 75%. Of the 188 resident respondents, 18% worked a majority of their clinical shifts overnight, and 32% had child dependents. Burnout scores for residents who worked greater than 80 hours per week, or primarily worked overnight shifts, were higher than residents who worked less than 80 hours (mean score 25.0 vs 21.5; p=0.013), or did not work overnight (mean score 23.5 vs 21.3; p=0.022).  EM residents had similar scores in all three components of CF when compared to other specialties. Secondary traumatic stress scores for residents who worked greater than 80 hours were higher than residents who worked less than 80 hours (mean score 22.2 vs 19.5; p=0.048), and those with child dependents had higher secondary traumatic stress than those without children (mean score 21.0 vs 19.1; p=0.012).

Conclusion: CF scores in EM residents are similar to residents in other surgical and medical specialties. Residents working primarily night shifts and those working more than 80 hours per week appear to be at high risk of developing compassion fatigue. Residents with children are more likely to experience secondary traumatic stress. [West J Emerg Med. 2014;15(6):–0]

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Introduction: Our goal was to investigate trends in computed tomography (CT) utilization in emergency departments (EDs) and its association with hospitalization. Methods: We conducted an analysis of an administrative claims database of U.S. privately insured and Medicare Advantage enrollees. We identified ED visits from 2005 through 2013 and assessed for CT use, associated factors, and hospitalization after CT, along with patient demographics. We used both descriptive methods and regression models adjusted for year, age, sex, race, geographic region, and Hwang comorbidity score to explore associations among CT use, year, demographic characteristics, and hospitalization. Results: We identified 33,144,233 ED visits; 5,901,603 (17.8%) involved CT. Over time, CT use during ED visits increased 59.9%. CT use increased in all age groups but decreased in children since 2010. In propensity-matching analysis, odds of hospitalization increased with age, comorbidities, male sex, and CT use (odds ratio, 2.38). Odds of hospitalization over time decreased more quickly for patients with CT. Conclusion: CT utilization in the ED has increased significantly from 2005 through 2013. For children, CT use after 2010 decreased, indicating caution about CT use. Male sex, older age, and higher number of comorbidities were predictors of CT in the ED. Over time, odds of hospitalization decreased more quickly for patients with CT.

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