Search

Purpose: Pain accounts for up to 78% of emergency department (ED) patient visits and opioids remain a primary method of treatment despite risks of addiction and adverse effects. While prior acupuncture studies are promising as an alternative opioid-sparing approach to pain reduction, successful conduct of a multi-center pilot study is needed to prepare for a future definitive randomized control trial (RCT)., Methods: Acupuncture in the Emergency Department for Pain Management (ACUITY) is funded by the National Center for Complementary and Integrative Health. The objectives are to: conduct a multi-center feasibility RCT, examine feasibility of data collection, develop/deploy a manualized acupuncture intervention and assess feasibility/implementation (barrier/facilitators) in 3 EDs affiliated with the BraveNet Practice Based Research Network.Adults presenting to a recruiting ED with acute non-emergent pain (e.g., musculoskeletal, back, pelvic, noncardiac chest, abdominal, flank or head) of ≥4 on a 0-10-point Numeric Rating Scale will be eligible. ED participants (n = 165) will be equally randomized to Acupuncture or Usual Care.At pre-, post-, and discharge time-points, patients will self-assess pain and anxiety using the Numeric Rating Scale. Pain, anxiety, post-ED opioid use and adverse events will be assessed at 1 and 4 weeks. Opioid utilization in the ED and discharge prescriptions will be extracted from patients' electronic medical records.Acupuncture recipients will asked to participate in a brief qualitative interview about 3 weeks after their discharge. ED providers and staff will also be interviewed about their general perspectives/experiences related to acupuncture in the ED and implementation of acupuncture in ACUITY., Results: Recruitment began on 5/3/21. As of 12/7/21: 84 patients have enrolled, the responsive acupuncture intervention has been developed and deployed, and 26 qualitative interviews have been conducted., Conclusion: Successful conduct of ACUITY will provide the necessary framework for conducting a future, multi-center, definitive RCT of acupuncture in the ED., Clinical Trialsgov: NCT04880733 https://clinicaltrials.gov/ct2/show/NCT04880733., Competing Interests: The authors have no conflicts of interests to disclose., (Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.)

Importance: A substantial proportion of the 40 million people in the US who present to emergency departments (EDs) each year after traumatic events develop posttraumatic stress disorder (PTSD) or major depressive episode (MDE). Accurately identifying patients at high risk in the ED would facilitate the targeting of preventive interventions., Objectives: To develop and validate a prediction tool based on ED reports after a motor vehicle collision to predict PTSD or MDE 3 months later., Design, Setting, and Participants: The Advancing Understanding of Recovery After Trauma (AURORA) study is a longitudinal study that examined adverse posttraumatic neuropsychiatric sequalae among patients who presented to 28 US urban EDs in the immediate aftermath of a traumatic experience. Enrollment began on September 25, 2017. The 1003 patients considered in this diagnostic/prognostic report completed 3-month assessments by January 31, 2020. Each patient received a baseline ED assessment along with follow-up self-report surveys 2 weeks, 8 weeks, and 3 months later. An ensemble machine learning method was used to predict 3-month PTSD or MDE from baseline information. Data analysis was performed from November 1, 2020, to May 31, 2021., Main Outcomes and Measures: The PTSD Checklist for DSM-5 was used to assess PTSD and the Patient Reported Outcomes Measurement Information System Depression Short-Form 8b to assess MDE., Results: A total of 1003 patients (median [interquartile range] age, 34.5 [24-43] years; 715 [weighted 67.9%] female; 100 [weighted 10.7%] Hispanic, 537 [weighted 52.7%] non-Hispanic Black, 324 [weighted 32.2%] non-Hispanic White, and 42 [weighted 4.4%] of non-Hispanic other race or ethnicity were included in this study. A total of 274 patients (weighted 26.6%) met criteria for 3-month PTSD or MDE. An ensemble machine learning model restricted to 30 predictors estimated in a training sample (patients from the Northeast or Midwest) had good prediction accuracy (mean [SE] area under the curve [AUC], 0.815 [0.031]) and calibration (mean [SE] integrated calibration index, 0.040 [0.002]; mean [SE] expected calibration error, 0.039 [0.002]) in an independent test sample (patients from the South). Patients in the top 30% of predicted risk accounted for 65% of all 3-month PTSD or MDE, with a mean (SE) positive predictive value of 58.2% (6.4%) among these patients at high risk. The model had good consistency across regions of the country in terms of both AUC (mean [SE], 0.789 [0.025] using the Northeast as the test sample and 0.809 [0.023] using the Midwest as the test sample) and calibration (mean [SE] integrated calibration index, 0.048 [0.003] using the Northeast as the test sample and 0.024 [0.001] using the Midwest as the test sample; mean [SE] expected calibration error, 0.034 [0.003] using the Northeast as the test sample and 0.025 [0.001] using the Midwest as the test sample). The most important predictors in terms of Shapley Additive Explanations values were symptoms of anxiety sensitivity and depressive disposition, psychological distress in the 30 days before motor vehicle collision, and peritraumatic psychosomatic symptoms., Conclusions and Relevance: The results of this study suggest that a short set of questions feasible to administer in an ED can predict 3-month PTSD or MDE with good AUC, calibration, and geographic consistency. Patients at high risk can be identified in the ED for targeting if cost-effective preventive interventions are developed.

Importance: Up to 20% of patients who present to the emergency department (ED) with acute heart failure (AHF) are discharged without hospitalization. Compared with rates in hospitalized patients, readmission and mortality are worse for ED patients., Objective: To assess the impact of a self-care intervention on 90-day outcomes in patients with AHF who are discharged from the ED., Design, Setting, and Participants: Get With the Guidelines in Emergency Department Patients With Heart Failure was an unblinded, parallel-group, multicenter randomized trial. Patients were randomized 1:1 to usual care vs a tailored self-care intervention. Patients with AHF discharged after ED-based management at 15 geographically diverse EDs were included. The trial was conducted from October 28, 2015, to September 5, 2019., Interventions: Home visit within 7 days of discharge and twice-monthly telephone-based self-care coaching for 3 months., Main Outcomes and Measures: The primary outcome was a global rank of cardiovascular death, HF-related events (unscheduled clinic visit due to HF, ED revisit, or hospitalization), and changes in the Kansas City Cardiomyopathy Questionnaire-12 (KCCQ-12) summary score (SS) at 90 days. Key secondary outcomes included the global rank outcome at 30 days and changes in the KCCQ-12 SS score at 30 and 90 days. Intention-to-treat analysis was performed for the primary, secondary, and safety outcomes. Per-protocol analysis was conducted including patients who completed a home visit and had scheduled outpatient follow-up in the intervention arm., Results: Owing to slow enrollment, 479 of a planned 700 patients were randomized: 235 to the intervention arm and 244 to the usual care arm. The median age was 63.0 years (interquartile range, 54.7-70.2), 302 patients (63%) were African American, 305 patients (64%) were men, and 178 patients (37%) had a previous ejection fraction greater than 50%. There was no significant difference in the primary outcome between patients in the intervention vs usual care arm (hazard ratio [HR], 0.89; 95% CI, 0.73-1.10; P = .28). At day 30, patients in the intervention arm had significantly better global rank (HR, 0.80; 95% CI, 0.64-0.99; P = .04) and a 5.5-point higher KCCQ-12 SS (95% CI, 1.3-9.7; P = .01), while at day 90, the KCCQ-12 SS was 2.7 points higher (95% CI, -1.9 to 7.2; P = .25)., Conclusions and Relevance: The self-care intervention did not improve the primary global rank outcome at 90 days in this trial. However, benefit was observed in the global rank and KCCQ-12 SS at 30 days, suggesting that an early benefit of a tailored self-care program initiated at an ED visit for AHF was not sustained through 90 days., Trial Registration: ClinicalTrials.gov Identifier: NCT02519283.

Study Objective: We use variables from a recently derived acute heart failure risk-stratification rule (STRATIFY) as a basis to develop and optimize risk prediction using additional patient clinical data from electronic health records and machine-learning models., Methods: Using a retrospective cohort design, we identified all emergency department (ED) visits for acute heart failure between January 1, 2017, and December 31, 2018, among adult health plan members of a large system with 21 EDs. The primary outcome was any 30-day serious adverse event, including death, cardiopulmonary resuscitation, balloon-pump insertion, intubation, new dialysis, myocardial infarction, or coronary revascularization. Starting with the 13 variables from the STRATIFY rule (base model), we tested whether predictive accuracy in a different population could be enhanced with additional electronic health record-based variables or machine-learning approaches (compared with logistic regression). We calculated our derived model area under the curve (AUC), calculated test characteristics, and assessed admission rates across risk categories., Results: Among 26,189 total ED encounters, mean patient age was 74 years, 51.7% were women, and 60.7% were white. The overall 30-day serious adverse event rate was 18.8%. The base model had an AUC of 0.76 (95% confidence interval 0.74 to 0.77). Incorporating additional variables led to improved accuracy with logistic regression (AUC 0.80; 95% confidence interval 0.79 to 0.82) and machine learning (AUC 0.85; 95% confidence interval 0.83 to 0.86). We found that 11.1%, 25.7%, and 48.9% of the study population had predicted serious adverse event risk of less than or equal to 3%, less than or equal to 5%, and less than or equal to 10%, respectively, and 28% of those with less than or equal to 3% risk were admitted., Conclusion: Use of a machine-learning model with additional variables improved 30-day risk prediction compared with conventional approaches., (Copyright © 2020 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Study Objective: Older adults with syncope are commonly treated in the emergency department (ED). We seek to derive a novel risk-stratification tool to predict 30-day serious cardiac outcomes., Methods: We performed a prospective, observational study of older adults (≥60 years) with unexplained syncope or near syncope who presented to 11 EDs in the United States. Patients with a serious diagnosis identified in the ED were excluded. We collected clinical and laboratory data on all patients. Our primary outcome was 30-day all-cause mortality or serious cardiac outcome., Results: We enrolled 3,177 older adults with unexplained syncope or near syncope between April 2013 and September 2016. Mean age was 73 years (SD 9.0 years). The incidence of the primary outcome was 5.7% (95% confidence interval [CI] 4.9% to 6.5%). Using Bayesian logistic regression, we derived the FAINT score: history of heart failure, history of cardiac arrhythmia, initial abnormal ECG result, elevated pro B-type natriuretic peptide, and elevated high-sensitivity troponin T. A FAINT score of 0 versus greater than or equal to 1 had sensitivity of 96.7% (95% CI 92.9% to 98.8%) and specificity 22.2% (95% CI 20.7% to 23.8%), respectively. The FAINT score tended to be more accurate than unstructured physician judgment: area under the curve 0.704 (95% CI 0.669 to 0.739) versus 0.630 (95% CI 0.589 to 0.670)., Conclusion: Among older adults with syncope or near syncope of potential cardiac cause, a FAINT score of zero had a reasonably high sensitivity for excluding death and serious cardiac outcomes at 30 days. If externally validated, this tool could improve resource use for this common condition., (Copyright © 2019 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Study Objective: Many adults with syncope are hospitalized solely for observation and testing. We seek to determine whether hospitalization versus outpatient management for older adults with unexplained syncope is associated with a reduction in postdisposition serious adverse events at 30 days., Methods: We performed a propensity score analysis using data from a prospective, observational study of older adults with unexplained syncope or near syncope who presented to 11 emergency departments (EDs) in the United States. We enrolled adults (≥60 years) who presented with syncope or near syncope. We excluded patients with a serious diagnosis identified in the ED. Clinical and laboratory data were collected on all patients. The primary outcome was rate of post-ED serious adverse events at 30 days., Results: We enrolled 2,492 older adults with syncope and no serious ED diagnosis from April 2013 to September 2016. Mean age was 73 years (SD 8.9 years), and 51% were women. The incidence of serious adverse events within 30 days after the index visit was 7.4% for hospitalized patients and 3.19% for discharged patients, representing an unadjusted difference of 4.2% (95% confidence interval 2.38% to 6.02%). After propensity score matching on risk of hospitalization, there was no statistically significant difference in serious adverse events at 30 days between the hospitalized group (4.89%) and the discharged group (2.82%) (risk difference 2.07%; 95% confidence interval -0.24% to 4.38%)., Conclusion: In our propensity-matched sample of older adults with unexplained syncope, for those with clinical characteristics similar to that of the discharged cohort, hospitalization was not associated with improvement in 30-day serious adverse event rates., (Copyright © 2019 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Study Objective: Controversy remains in regard to the risk of adverse events for patients presenting with syncope compared with near-syncope. The purpose of our study is to describe the difference in outcomes between these groups in a large multicenter cohort of older emergency department (ED) patients., Methods: From April 28, 2013, to September 21, 2016, we conducted a prospective, observational study across 11 EDs in adults (≥60 years) with syncope or near-syncope. A standardized data extraction tool was used to collect information during their index visit and at 30-day follow-up. Our primary outcome was the incidence of 30-day death or serious clinical events. Data were analyzed with descriptive statistics and multivariate logistic regression analysis adjusting for relevant demographic or historical variables., Results: A total of 3,581 patients (mean age 72.8 years; 51.6% men) were enrolled in the study. There were 1,380 patients (39%) presenting with near-syncope and 2,201 (61%) presenting with syncope. Baseline characteristics revealed a greater incidence of congestive heart failure, coronary artery disease, previous arrhythmia, nonwhite race, and presenting dyspnea in the near-syncope compared with syncope cohort. There were no differences in the primary outcome between the groups (near-syncope 18.7% versus syncope 18.2%). A multivariate logistic regression analysis identified no difference in 30-day serious outcomes for patients with near-syncope (odds ratio 0.94; 95% confidence interval 0.78 to 1.14) compared with syncope., Conclusion: Near-syncope confers risk to patients similar to that of syncope for the composite outcome of 30-day death or serious clinical event., (Copyright © 2018 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Purpose of Review: Acute heart failure accounts for over one million hospital discharges annually. Current guidelines suggest treatments for AHF should begin "without delay" but this time interval has not been clearly defined., Recent Findings: Data suggest that certain treatments such as earlier treatment with diuretics and vasodilators may improve patient symptom relief, morbidity, and mortality. Secondary analyses of clinical trials of novel treatments under development have not shown similar results. The data are equivocal regarding the impact of early treatment in AHF on in-hospital and long-term morbidity and mortality. Improved clinical trial designs will help answer when and if "early" treatment should begin and whether it impacts short- and long-term outcomes in AHF.

Introduction: Racial disparities in heart failure hospitalizations are well documented. The majority of heart failure hospitalizations originate from emergency departments, but emergency department hospitalization patterns for heart failure and the factors that influence hospitalization are poorly understood. This gap in knowledge was examined using a nationally representative sample of emergency department visits for heart failure., Methods: National Hospital Ambulatory Medicare Care Survey data on 2001-2010 emergency department visits were analyzed in 2015-2017 to examine age-related racial differences in hospitalization patterns for heart failure, using multivariable modified Poisson regression models., Results: More than 12million adult visits for heart failure to U.S. emergency departments occurred from 2001 to 2010, with 23% of visits by blacks. Overall, 71% of visits resulted in hospitalization (57% to floor beds and 14% to intensive care units). Among floor admissions for higher clinical acuity visits, whites were more likely than blacks to be hospitalized. Whites with higher clinical acuity were more likely to be hospitalized than those with lower clinical acuity (71% vs 63%, p=0.005). This expected pattern was not observed in blacks, particularly those aged ≥65years, who were hospitalized in 71% of lower clinical acuity visits, but only 61% of higher acuity visits. Among adults aged ≥65years, there was a significant interaction between clinical acuity Xrace with regard to hospitalization (p=0.037)., Conclusions: These results suggest age and racial disparities in hospitalization rates for emergency department patients with heart failure. The reasons for these disparities in hospitalization are unclear. Further studies on emergency department hospitalization decisions, and the impact of emergency department clinical factors, may help clarify this finding., Supplement Information: This article is part of a supplement entitled African American Men's Health: Research, Practice, and Policy Implications, which is sponsored by the National Institutes of Health., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Psychopathy is a personality disorder representing an admixture of a fearless and dominant temperament with an impulsive and antisocial orientation. A sample of 1,026 participants in the waiting room of the medical emergency department of a city hospital exhibited levels of fearless dominance similar to university undergraduates and federal inmates; their levels of impulsive antisociality fell between those of federal and state inmates. Both psychopathy factors were correlated with male gender, younger age, and more frequent average alcohol consumption. Fearless dominance was associated with agentic success (e.g., being employed, higher household income), fewer psychological problems, and less use of psychotropic medications, including anxiolytics. Impulsive antisociality was negatively related to both agentic and communal (e.g., ever being married) success and positively correlated with substance use and self-reported bipolar, ADHD, and psychotic psychiatric conditions. Further, only impulsive antisociality was associated with presenting to the emergency department for physical injury or psychological disturbance.

Study Objective: Cardiac arrhythmia is a life-threatening condition in older adults who present to the emergency department (ED) with syncope. Previous work suggests the initial ED ECG can predict arrhythmia risk; however, specific ECG predictors have been variably specified. Our objective is to identify specific ECG abnormalities predictive of 30-day serious cardiac arrhythmias in older adults presenting to the ED with syncope., Methods: We conducted a prospective, observational study at 11 EDs in adults aged 60 years or older who presented with syncope or near syncope. We excluded patients with a serious cardiac arrhythmia diagnosed during the ED evaluation from the primary analysis. The outcome was occurrence of 30-day serous cardiac arrhythmia. The exposure variables were predefined ECG abnormalities. Independent predictors were identified through multivariate logistic regression. The sensitivities and specificities of any predefined ECG abnormality and any ECG abnormality identified on adjusted analysis to predict 30-day serious cardiac arrhythmia were also calculated., Results: After exclusion of 197 patients (5.5%; 95% confidence interval [CI] 4.7% to 6.2%) with serious cardiac arrhythmias in the ED, the study cohort included 3,416 patients. Of these, 104 patients (3.0%; 95% CI 2.5% to 3.7%) had a serious cardiac arrhythmia within 30 days from the index ED visit (median time to diagnosis 2 days [interquartile range 1 to 5 days]). The presence of nonsinus rhythm, multiple premature ventricular conductions, short PR interval, first-degree atrioventricular block, complete left bundle branch block, and Q wave/T wave/ST-segment abnormalities consistent with acute or chronic ischemia on the initial ED ECG increased the risk for a 30-day serious cardiac arrhythmia. This combination of ECG abnormalities had a similar sensitivity in predicting 30-day serious cardiac arrhythmia compared with any ECG abnormality (76.9% [95% CI 67.6% to 84.6%] versus 77.9% [95% CI 68.7% to 85.4%]) and was more specific (55.1% [95% CI 53.4% to 56.8%] versus 46.6% [95% CI 44.9% to 48.3%])., Conclusion: In older ED adults with syncope, approximately 3% receive a diagnosis of a serious cardiac arrhythmia not recognized on initial ED evaluation. The presence of specific abnormalities on the initial ED ECG increased the risk for 30-day serious cardiac arrhythmias., (Copyright © 2017 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Background: Emergency department (ED) acuity is the general level of patient illness, urgency for clinical intervention, and intensity of resource use in an ED environment. The relative strength of commonly used measures of ED acuity is not well understood., Methods: We performed a retrospective cross-sectional analysis of ED-level data to evaluate the relative strength of association between commonly used proxy measures with a full spectrum measure of ED acuity. Common measures included the percentage of patients with Emergency Severity Index (ESI) scores of 1 or 2, case mix index (CMI), academic status, annual ED volume, inpatient admission rate, percentage of Medicare patients, and patients seen per attending-hour. Our reference standard for acuity is the proportion of high-acuity charts (PHAC) coded and billed according to the Centers for Medicare and Medicaid Service's Ambulatory Payment Classification (APC) system. High-acuity charts included those APC 4 or 5 or critical care. PHAC was represented as a fractional response variable. We examined the strength of associations between common acuity measures and PHAC using Spearman's rank correlation coefficients (r s ) and regression models including a quasi-binomial generalized linear model and linear regression., Results: In our univariate analysis, the percentage of patients ESI 1 or 2, CMI, academic status, and annual ED volume had statistically significant associations with PHAC. None explained more than 16% of PHAC variation. For regression models including all common acuity measures, academic status was the only variable significantly associated with PHAC., Conclusion: Emergency Severity Index had the strongest association with PHAC followed by CMI and annual ED volume. Academic status captures variability outside of that explained by ESI, CMI, annual ED volume, percentage of Medicare patients, or patients per attending per hour. All measures combined only explained only 42.6% of PHAC variation., (© 2017 by the Society for Academic Emergency Medicine.)

Objectives: From 2005 to 2010 health care financing shifts in the United States may have affected care transition practices for emergency department (ED) patients with nonspecific chest pain (CP) after ED evaluation. Despite being less acutely ill than those with myocardial infarction, these patients' management can be challenging. The risk of missing acute coronary syndrome is considerable enough to often warrant admission. Diagnostic advances and reimbursement limitations on the use of inpatient admission are encouraging the use of alternative ED care transition practices. In the setting of these health care changes, we hypothesized that there is a decline in inpatient admission rates for patients with nonspecific CP after ED evaluation., Methods: We retrospectively used the Nationwide ED Sample to quantify total and annual inpatient hospital admission rates from 2006 to 2012 for patients with a final ED diagnosis of nonspecific CP. We assessed the change in admission rates over time and stratified by facility characteristics including safety-net hospital status, U.S. geographic region, urban/teaching status, trauma-level designation, and hospital funding status., Results: The admission rate for all patients with a final ED diagnosis of nonspecific CP declined from 19.2% in 2006 to 11.3% in 2012. Variability across regions was observed, while metropolitan teaching hospitals and trauma centers reflected lower admission rates., Conclusion: There was a 41.1% decline in inpatient hospital admission for patients with nonspecific CP after ED evaluation. This reduction is temporally associated with national policy changes affecting reimbursement for inpatient admissions., (© 2017 by the Society for Academic Emergency Medicine.)

Background: In the absence of the existing acute coronary syndrome (ACS) guidelines directing the clinical practice implementation of emergency department (ED) screening and diagnosis, there is variable screening and diagnostic clinical practice across ED facilities. This practice diversity may be warranted. Understanding the variability may identify opportunities for more consistent practice., Methods: This is a cross-sectional clinical practice epidemiology study with the ED as the unit of analysis characterizing variability in the ACS evaluation across 62 diverse EDs. We explored three domains of screening and diagnostic practice: 1) variability in criteria used by EDs to identify patients for an early electrocardiogram (ECG) to diagnose ST-elevation myocardial infarction (STEMI), 2) nonuniform troponin biomarker and formalized pre-troponin risk stratification use for the diagnosis of non-ST-elevation myocardial infarction (NSTEMI), and 3) variation in the use of noninvasive testing (NIVT) to identify obstructive coronary artery disease or detect inducible ischemia., Results: We found that 85% of EDs utilize a formal triage protocol to screen patients for an early ECG to diagnose STEMI. Of these, 17% use chest pain as the sole criteria. For the diagnosis of NSTEMI, 58% use intervals ≥4 hours for a second troponin and 34% routinely risk stratify before troponin testing. For the diagnosis of noninfarction ischemia, the median percentage of patients who have NIVT performed during their ED visit is 5%. The median percentage of patients referred for NIVT in hospital (observation or admission) is 61%. Coronary CT angiography is used in 66% of EDs. Exercise treadmill testing is the most frequently reported first-line NIVT (42%)., Conclusion: Our results suggest highly variable ACS screening and clinical practice., (© 2017 by the Society for Academic Emergency Medicine.)

Background: Timely diagnosis of ST-segment elevation myocardial infarction (STEMI) in the emergency department (ED) is made solely by ECG. Obtaining this test within 10 minutes of ED arrival is critical to achieving the best outcomes. We investigated variability in the timely identification of STEMI across institutions and whether performance variation was associated with the ED characteristics, the comprehensiveness of screening criteria, and the STEMI screening processes., Methods and Results: We examined STEMI screening performance in 7 EDs, with the missed case rate (MCR) as our primary end point. The MCR is the proportion of primarily screened ED patients diagnosed with STEMI who did not receive an ECG within 15 minutes of ED arrival. STEMI was defined by hospital discharge diagnosis. Relationships between the MCR and ED characteristics, screening criteria, and STEMI screening processes were assessed, along with differences in door-to-ECG times for captured versus missed patients. The overall MCR for all 7 EDs was 12.8%. The lowest and highest MCRs were 3.4% and 32.6%, respectively. The mean difference in door-to-ECG times for captured and missed patients was 31 minutes, with a range of 14 to 80 minutes of additional myocardial ischemia time for missed cases. The prevalence of primarily screened ED STEMIs was 0.09%. EDs with the greatest informedness (sensitivity+specificity-1) demonstrated superior performance across all other screening measures., Conclusions: The 29.2% difference in MCRs between the highest and lowest performing EDs demonstrates room for improving timely STEMI identification among primarily screened ED patients. The MCR and informedness can be used to compare screening across EDs and to understand variable performance., (© 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.)

GUIDED-HF (Get With the Guidelines in Emergency Department Patients With Heart Failure) is a multicenter randomized trial of a patient-centered transitional care intervention in patients with acute heart failure (AHF) who are discharged either directly from the emergency department (ED) or after a brief period of ED-based observation. To optimize care and reduce ED and hospital revisits, there has been significant emphasis on improving transitions at the time of hospital discharge for patients with HF. Such efforts have been almost exclusively directed at hospitalized patients; individuals with AHF who are discharged from the ED or ED-based observation are not included in these transitional care initiatives. Patients with AHF discharged directly from the ED or after a brief period of ED-based observation are randomly assigned to our transition GUIDED-HF strategy or standard ED discharge. Patients in the GUIDED arm receive a tailored discharge plan via the study team, based on their identified barriers to outpatient management and associated guideline-based interventions. This plan includes conducting a home visit soon after ED discharge combined with close outpatient follow-up and subsequent coaching calls to improve postdischarge care and avoid subsequent ED revisits and inpatient admissions. Up to 700 patients at 11 sites will be enrolled over 3 years of the study. GUIDED-HF will test a novel approach to AHF management strategy that includes tailored transitional care for patients discharged from the ED or ED-based observation. If successful, this program may significantly alter the current paradigm of AHF patient care., Clinical Trial Registration: URL: http://www.clinicaltrials.gov. Unique identifier: NCT02519283., (© 2017 American Heart Association, Inc.)

Hypertension is a common chronic condition, but the burden of emergency department (ED) visits due to hypertension and associated patient and hospital characteristics are not well described. The goals of this study were to (1) establish the burden of hypertension-related ED visits, estimated by the total number, proportion of adult visits, and population-based rate, (2) evaluate for change over time, and (3) identify associated patient and hospital characteristics. The Nationwide Emergency Department Sample from 2006 to 2012 was used to identify hypertension-related ED visits (International Classification of Diseases, Ninth Revision, Clinical Modification codes 401 to 405, inclusive, and 437.2), and this was linked to US Census Bureau July population estimates to determine population-based rates for each study year. Negative binomial regression was performed to determine whether rates of hypertension-related ED visits changed over time. A total of 165,946,807 hypertension-related ED visits occurred during the 7-year study period (23.6% of all adult ED visits), and hypertension was the primary diagnosis for 6,399,088 (0.9% of all adult ED visits). The estimated yearly incidence rate increased 5.2% per year (incident rate ratio, 1.052; 95% confidence interval, 1.044 to 1.061; p <0.001) for hypertension-related visits and 4.4% per year (incidence rate ratio, 1.044; 95% confidence interval, 1.038 to 1.051; p <0.001) for ED visits with a primary diagnosis of hypertension. Over the same time, the proportion hospitalized decreased and the proportion of visits increased at safety net hospitals and among uninsured patients. In conclusion, these data indicate that hypertension-related ED visits are common and increasing., (Published by Elsevier Inc.)

Objectives: No prospectively derived or validated decision tools identify emergency department (ED) patients with acute heart failure (AHF) at low risk for 30-day adverse events who are thus potential candidates for safe ED discharge. This study sought to accomplish that goal., Background: The nearly 1 million annual ED visits for AHF are associated with high proportions of admissions and consume significant resources., Methods: We prospectively enrolled 1,033 patients diagnosed with AHF in the ED from 4 hospitals between July 20, 2007, and February 4, 2011. We used an ordinal outcome hierarchy, defined as the incidence of the most severe adverse event within 30 days of ED evaluation (acute coronary syndrome, coronary revascularization, emergent dialysis, intubation, mechanical cardiac support, cardiopulmonary resuscitation, and death)., Results: Of 1,033 patients enrolled, 126 (12%) experienced at least one 30-day adverse event. The decision tool had a C statistic of 0.68 (95% confidence interval: 0.63 to 0.74). Elevated troponin (p < 0.001) and renal function (p = 0.01) were significant predictors of adverse events in our multivariable model, whereas B-type natriuretic peptide (p = 0.09), tachypnea (p = 0.09), and patients undergoing dialysis (p = 0.07) trended toward significance. At risk thresholds of 1%, 3%, and 5%, we found 0%, 1.4%, and 13.0% patients were at low risk, with negative predictive values of 100%, 96%, and 93%, respectively., Conclusions: The STRATIFY decision tool identifies ED patients with AHF who are at low risk for 30-day adverse events and may be candidates for safe ED discharge. After external testing, and perhaps when used as part of a shared decision-making strategy, it may significantly affect disposition strategies. (Improving Heart Failure Risk Stratification in the ED [STRATIFY]; NCT00508638)., (Copyright © 2015 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Study Objective: We pilot tested a sociotechnical systems-based instrument that assesses the prevalence and nature of self-care barriers among patients presenting to the emergency department (ED) with acute heart failure., Methods: A semistructured instrument for measuring self-reported self-care barriers was developed and administered by ED clinicians and nonclinician researchers to 31 ED patients receiving a diagnosis of acute heart failure. Responses were analyzed with descriptive statistics and qualitative content analysis. Feasibility was assessed by examining participant cooperation rates, instrument completion times, item nonresponse, and data yield., Results: Of 47 distinct self-care barriers assessed, a median of 15 per patient were indicated as "sometimes" or "often" present. Thirty-four specific barriers were reported by more than 25% of patients and 9 were reported by more than 50%. The sources of barriers included the person, self-care tasks, tools and technologies, and organizational, social, and physical contexts. Seven of the top 10 most prevalent barriers were related to patient characteristics; the next 3, to the organizational context (eg, life disruptions). A preliminary feasibility assessment found few item nonresponses or comprehension difficulties, good cooperation, and high data yield from both closed- and open-ended items, but also found opportunities to reduce median administration time and variability., Conclusion: An instrument assessing self-care barriers from multiple system sources can be feasibly implemented in the ED. Further research is required to modify the instrument for widespread use and evaluate its implementation across institutions and cultural contexts. Self-care barriers measurement can be one component of broader inquiry into the distributed health-related "work" activity of patients, caregivers, and clinicians., (Copyright © 2015 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

There is wide variation in the management of patients with atrial fibrillation (AF) in the emergency department (ED). We aimed to derive and internally validate the first prospective, ED-based clinical decision aid to identify patients with AF at low risk for 30-day adverse events. We performed a prospective cohort study at a university-affiliated tertiary-care ED. Patients were enrolled from June 9, 2010, to February 28, 2013, and followed for 30 days. We enrolled a convenience sample of patients in ED presenting with symptomatic AF. Candidate predictors were based on ED data available in the first 2 hours. The decision aid was derived using model approximation (preconditioning) followed by strong bootstrap internal validation. We used an ordinal outcome hierarchy defined as the incidence of the most severe adverse event within 30 days of the ED evaluation. Of 497 patients enrolled, stroke and AF-related death occurred in 13 (3%) and 4 (<1%) patients, respectively. The decision aid included the following: age, triage vitals (systolic blood pressure, temperature, respiratory rate, oxygen saturation, supplemental oxygen requirement), medical history (heart failure, home sotalol use, previous percutaneous coronary intervention, electrical cardioversion, cardiac ablation, frequency of AF symptoms), and ED data (2 hours heart rate, chest radiograph results, hemoglobin, creatinine, and brain natriuretic peptide). The decision aid's c-statistic in predicting any 30-day adverse event was 0.7 (95% confidence interval 0.65, 0.76). In conclusion, in patients with AF in the ED, Atrial Fibrillation and Flutter Outcome Risk Determination provides the first evidence-based decision aid for identifying patients who are at low risk for 30-day adverse events and candidates for safe discharge., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Objectives: Most US hospitals lack primary percutaneous coronary intervention (PCI) capabilities to treat patients with ST-elevation myocardial infarction (STEMI) necessitating transfer to PCI-capable centers. Transferred patients rarely meet the 120-minute benchmark for timely reperfusion, and referring emergency departments (EDs) are a major source of preventable delays. We sought to use more granular data at transferring EDs to describe the variability in length of stay at referring EDs., Methods: We retrospectively analyzed a secondary data set used for quality improvement for patients with STEMI transferred to a single PCI center between 2008 and 2012. We conducted a descriptive analysis of the total time spent at each referring ED (door-in-door-out [DIDO] interval), periods that comprised DIDO (door to electrocardiogram [EKG], EKG-to-PCI activation, and PCI activation to exit), and the relationship of each period with overall time to reperfusion (medical contact-to-balloon [MCTB] interval)., Results: We identified 41 EDs that transferred 620 patients between 2008 and 2012. Median MCTB was 135 minutes (interquartile range [IQR] 114,172). Median overall ED DIDO was 74 minutes (IQR 56,103) and was composed of door to EKG, 5 minutes (IQR 2,11); EKG-to-PCI activation, 18 minutes (IQR 7,37); and PCI activation to exit, 44 minutes (IQR 34,56). Door-in door-out accounted for the largest proportion (60%) of overall MCTB and had the largest variability (coefficient of variability, 1.37) of these intervals., Conclusions: In this cohort of transferring EDs, we found high variability and substantial delays after EKG performance for patients with STEMI. Factors influencing ED decision making and transportation coordination after PCI activation are a potential target for intervention to improve the timeliness of reperfusion in patients with STEMI., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Objectives: This article is a systematic review of the effectiveness of four practices (assay selection, decision point cardiac troponin (cTn) threshold selection, serial testing, and point of care testing) for improving the diagnostic accuracy Non-ST-Segment Elevation Myocardial Infarction (NSTEMI) in the Emergency Department., Design and Methods: The CDC-funded Laboratory Medicine Best Practices (LMBP) Initiative systematic review method for quality improvement practices was used., Results: The current ACC/AHA guidelines recommend using cardiac troponin assays with a 99th percentile upper reference limit (URL) diagnostic threshold to diagnose NSTEMI. The evidence in this systematic review indicates that contemporary sensitive cTn assays meet the assay profile requirements (sensitivity, specificity, PPV, and NPV) to more accurately diagnose NSTEMI than alternate tests. Additional biomarkers did not increase diagnostic effectiveness of cTn assays. Sensitivity, specificity, and NPV were consistently high and low PPV improved with serial sampling. Evidence for use of point of care cTn testing was insufficient to make recommendation, though some evidence suggests that use may result in reduction to patient length of stay and costs., Conclusions: Based on the review of and the LMBP(TM) A-6 Method criteria, we recommend the use of cardiac troponin assays without additional biomarkers using the 99th percentile URL as the clinical diagnostic threshold for the diagnosis of NSTEMI. We recommend serial sampling with one sample at presentation and at least one additional second sample taken at least 6h later to identify a rise or fall in the troponin level. No recommendation is made either for or against the use of point of care tests., Disclaimer: The findings and conclusions in this article are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention/the Agency for Toxic Substances and Disease Registry (CDC/ATSDR)., (Copyright © 2015. Published by Elsevier Inc.)

The incidence and longitudinal trends of patients with ST-elevation myocardial infarction (STEMI) presenting to United States (US) emergency departments (EDs) are currently unknown. Efforts to use effective treatments for cardiovascular disease may decrease ED STEMI presentation. We conducted a descriptive epidemiological analysis of STEMI visits to EDs from 2006 to 2011 using the Nationwide ED Sample, the largest source of US ED data, to determine the incidence of patients with STEMIs presenting to the US EDs. We included adult ED visits with an International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis of STEMI and calculated incidence rates for STEMI ED visits using US census population data. Incidence calculations were stratified by age group, geographic region, and year. From 2006 to 2011, there was a mean of 258,106 STEMIs presenting to EDs per year, decreasing from 300,466 in 2006 to 227,343 in 2011. Incidence of ED STEMI visits per 10,000 adults decreased from 10.1 (95% confidence interval [CI] 9.8 to 10.8) in 2006 to 7.3 (95% CI 6.8 to 7.8) in 2011. The Midwest had the highest rate of ED STEMIs at 10.0 (95% CI 9.2 to 10.8) and the West had the lowest with 6.6 (95% CI 6.1 to 7.0). The incidence of STEMI decreased for all age groups during the study period. In conclusion, we report the first national estimates of STEMI presentation to US EDs, which demonstrate decreasing incidence across all age groups and all geographic regions from 2006 to 2011. A decreasing STEMI incidence may affect the quality and timeliness of STEMI care. Continued national STEMI surveillance is needed to guide healthcare resource allocation., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Heart failure (HF) afflicts nearly 6 million Americans, resulting in 1 million emergency department (ED) visits and over 1 million annual hospital discharges. The majority of inpatient admissions originate in the ED; thus, it is crucial that emergency physicians and other providers involved in early management understand the latest developments in diagnostic testing, therapeutics, and alternatives to hospitalization. This article discusses contemporary ED management as well as the necessary next steps for ED-based acute HF research., (© 2015 by the Society for Academic Emergency Medicine.)

Objectives: The goal of this study was to examine 2006 to 2010 emergency department (ED) admission rates, hospital procedures, lengths of stay, and costs for acute heart failure (AHF)., Background: Patients with AHF are often admitted and are associated with high readmissions and cost., Methods: We utilized Nationwide Emergency Department Sample AHF data from 2006 to 2010 to describe admission proportion, hospital length of stay (LOS), and ED charges as a surrogate for resource utilization. Results were compared across U.S. regions, patient insurance status, and hospital characteristics., Results: There were 958,167 mean yearly ED visits for AHF in the United States. Fifty-one percent of the patients were female, and the median age was 75.1 years (interquartile range [IQR]: 62.5 to 83.7 years). Overall, 83.7% (95% confidence interval: 83.1% to 84.2%) were admitted; the median LOS was 3.4 days (IQR: 1.9 to 5.8 days). Comparing 2006 with 2010, there was a small decrease in median LOS (0.09 days), but the proportion admitted did not change. Odds of admission, adjusting for age, sex, hospital characteristic (academic and safety net status), and insurance (Medicare, Medicaid, private, self-pay/no charge) were highest in the Northeast. Median ED charges were $1,075 (IQR: $679 to $1,665) in 2006 and $1,558 (IQR: $1,018 to $2,335) in 2010. Patients without insurance were more likely to be discharged from the ED, but when admitted, were more likely to receive a major diagnostic or therapeutic procedure., Conclusions: A very high proportion of ED patients with AHF are admitted nationally, with significant variation in disposition and procedural decisions based on region of the country and type of insurance, even after adjusting for potential confounding., (Copyright © 2014 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Objectives: In the emergency department (ED), health care providers miss delirium approximately 75% of the time, because they do not routinely screen for this syndrome. The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) is a brief (<1 minute) delirium assessment that may be feasible for use in the ED. The study objective was to determine its validity and reliability in older ED patients., Methods: In this prospective observational cohort study, patients aged 65 years or older were enrolled at an academic, tertiary care ED from July 2009 to February 2012. An emergency physician (EP) and research assistants (RAs) performed the CAM-ICU. The reference standard for delirium was a comprehensive (~30 minutes) psychiatrist assessment using the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision criteria. All assessments were blinded to each other and were conducted within 3 hours. Sensitivities, specificities, and likelihood ratios were calculated for both the EP and the RAs using the psychiatrist's assessment as the reference standard. Kappa values between the EP and RAs were also calculated to measure reliability., Results: Of 406 patients enrolled, 50 (12.3%) had delirium. The median age was 73.5 years old (interquartile range [IQR] = 69 to 80 years), 202 (49.8%) were female, and 57 (14.0%) were nonwhite. The CAM-ICU's sensitivities were 72.0% (95% confidence interval [CI] = 58.3% to 82.5%) and 68.0% (95% CI = 54.2% to 79.2%) in the EP and RAs, respectively. The CAM-ICU's specificity was 98.6% (95% CI = 96.8% to 99.4%) for both raters. The negative likelihood ratios (LR-) were 0.28 (95% CI = 0.18 to 0.44) and 0.32 (95% CI = 0.22 to 0.49) in the EP and RAs, respectively. The positive likelihood ratios (LR+) were 51.3 (95% CI = 21.1 to 124.5) and 48.4 (95% CI = 19.9 to 118.0), respectively. The kappa between the EP and RAs was 0.92 (95% CI = 0.85 to 0.98), indicating excellent interobserver reliability., Conclusions: In older ED patients, the CAM-ICU is highly specific, and a positive test is nearly diagnostic for delirium when used by both the EP and RAs. However, the CAM-ICU's sensitivity was modest, and a negative test decreased the likelihood of delirium by a small amount. The consequences of a false-negative CAM-ICU are unknown and deserve further study., (© 2014 by the Society for Academic Emergency Medicine.)

The emergency department (ED) is often where atrial fibrillation (AF) is first detected and acutely treated and affected patients dispositioned. We used the Nationwide Emergency Department Sample to estimate the percentage of visits resulting in hospitalization and investigate associations between patient and hospital characteristics with hospitalization at the national and regional levels. We conducted a cross-sectional study of adults with AF listed as the primary ED diagnosis in the 2007 to 2009 Nationwide Emergency Department Sample. We performed multivariate logistic regression analyses investigating the associations between prespecified patient and hospital characteristics with hospitalization. From 2007 to 2009, there were 1,320,123 weighted ED visits for AF, with 69% hospitalized nationally. Mean regional hospitalization proportions were: Northeast (74%), Midwest (68%), South (74%), and West (57%). The highest odds ratios for predicting hospitalization were heart failure (3.85, 95% confidence interval [CI] 3.66 to 4.02), chronic obstructive pulmonary disease (2.47, 95% CI 2.34 to 2.61), and coronary artery disease (1.65, 95% CI 1.58 to 1.73). After adjusting for age, privately insured (0.77, 95% CI 0.73 to 0.81) and self-pay (0.77 95% CI 0.66 to 0.90) patients had lower odds compared with Medicare recipients, whereas Medicaid (1.21, 95% CI 1.11 to 1.32) patients tended to have higher odds. Patients living in low-income zip codes (1.18, 95% CI 1.12 to 1.25) and patients treated at large metropolitan hospitals (1.75, 95% CI 1.59 to 1.93) had higher odds. In conclusion, our analysis showed considerable regional variation in the management of patients with AF in the ED and in associations between patient socioeconomic and hospital characteristics with ED disposition; adapting best practices from among these variations in management could reduce hospitalizations and health-care expenses., (Copyright © 2013 Elsevier Inc. All rights reserved.)

Objectives: Pneumonia hospitalization rates are frequently reported as a measure of pneumonia disease burden in the United States. However, a detailed understanding of pneumonia burden in all health care settings, including the emergency department (ED), is essential for measuring the full effect of this disease on the population and planning and evaluating interventions to reduce pneumonia-related morbidity. The aim of this study was to quantify pneumonia-attributable ED visits in the United States among children and adults during the 3-year period July 2006 through June 2009., Methods: Rates of pneumonia ED visits were calculated using the Nationwide Emergency Department Sample (NEDS), the largest source of U.S. ED data. Pneumonia ED visits were identified using International Classification of Diseases (ICD) codes within NEDS. A pneumonia ED visit was defined by a primary (first-listed) pneumonia discharge diagnosis or a secondary pneumonia diagnosis with an accompanying primary diagnosis of respiratory failure, shock, septicemia, a sign or symptom consistent with pneumonia, another acute respiratory infection, or an acute exacerbation of a chronic pulmonary disease. Population-based annual rates of pneumonia ED visits stratified by age group and geographic region from July 2006 through June 2009 were calculated. The percentages of pneumonia ED visits resulting in treat-and-release outpatient ED visits were also calculated within each age stratum., Results: During the study period, 6,917,025 ED visits for pneumonia were identified, representing 2.2% of all U.S. ED visits. During the 3 study years, defined as July through June of 2006-2007, 2007-2008, and 2008-2009, pneumonia ED visit rates per 1,000 person-years were 7.4 (95% confidence interval [CI] = 7.0 to 7.8), 7.8 (95% CI = 7.3 to 8.2), and 7.6 (95% CI = 7.1 to 8.0), respectively. Annual rates were stable over the 3 years within each age group and geographic region. Overall, 39.3% of pneumonia ED visits, including 74.5% of pediatric and 28.1% of adult visits, were managed as treat-and-release outpatient visits., Conclusions: Pneumonia accounts for 2.2% of ED visits in the United States and results in approximately seven to eight ED visits per 1000 persons per year. A substantial proportion of pneumonia cases diagnosed in the ED are managed in treat-and-release ED outpatient visits, highlighting that enumeration of ED visit rates provides important complementary information to hospitalization rates for the assessment of pneumonia burden., (© 2013 by the Society for Academic Emergency Medicine.)

Objectives: Blood culture contamination is a common problem in the emergency department (ED) that leads to unnecessary patient morbidity and health care costs. The study objective was to develop and evaluate the effectiveness of a quality improvement (QI) intervention for reducing blood culture contamination in an ED., Methods: The authors developed a QI intervention to reduce blood culture contamination in the ED and then evaluated its effectiveness in a prospective interrupted times series study. The QI intervention involved changing the technique of blood culture specimen collection from the traditional clean procedure to a new sterile procedure, with standardized use of sterile gloves and a new materials kit containing a 2% chlorhexidine skin antisepsis device, a sterile fenestrated drape, a sterile needle, and a procedural checklist. The intervention was implemented in a university-affiliated ED and its effect on blood culture contamination evaluated by comparing the biweekly percentages of blood cultures contaminated during a 48-week baseline period (clean technique) and 48-week intervention period (sterile technique), using segmented regression analysis with adjustment for secular trends and first-order autocorrelation. The goal was to achieve and maintain a contamination rate below 3%., Results: During the baseline period, 321 of 7,389 (4.3%) cultures were contaminated, compared to 111 of 6,590 (1.7%) during the intervention period (p < 0.001). In the segmented regression model, the intervention was associated with an immediate 2.9% (95% confidence interval [CI] = 2.2% to 3.2%) absolute reduction in contamination. The contamination rate was maintained below 3% during each biweekly interval throughout the intervention period., Conclusions: A QI assessment of ED blood culture contamination led to development of a targeted intervention to convert the process of blood culture collection from a clean to a fully sterile procedure. Implementation of this intervention led to an immediate and sustained reduction of contamination in an ED with a high baseline contamination rate., (© 2013 by the Society for Academic Emergency Medicine.)

Background: More than 25% of Medicare patients hospitalized for heart failure are readmitted within 30 days. The contributions of numeracy and health literacy to recidivism for patients with acute heart failure (AHF) are not known., Methods and Results: A cohort of patients with acute heart failure who presented to 4 emergency departments between January 2008 and September 2011. Research assistants administered subjective measures of numeracy and health literacy; 30-day follow-up was performed by phone interview. Recidivism was defined as any unplanned return to the emergency department or hospital within 30 days of the index emergency department visit for AHF. Multivariable logistic regression adjusting for patient age, sex, race, insurance status, hospital site, days eligible for recidivism, chronic kidney disease, abnormal hemoglobin, and low ejection fraction evaluated the relation between numeracy and health literacy with 30-day recidivism. Of the 709 patients included in the analysis, 390 (55%) had low numeracy skills and 258 (37%) had low literacy skills. Low numeracy was associated with increased odds of recidivism within 30 days (adjusted odds ratio, 1.41; 95% confidence interval, 1.00-1.98; P=0.048). For low health literacy, adjusted odds ratio of recidivism was 1.17 (95% confidence interval, 0.83-1.65; P=0.37)., Conclusions: Low numeracy was associated with greater odds of 30-day recidivism. Further investigation is warranted to determine whether addressing numeracy and health literacy may reduce 30-day recidivism for patients with acute heart failure.

Objective: The aim of this study was to investigate whether emergency department (ED) patients who were newly diagnosed with atrial fibrillation (AF) displayed risk factors for incident AF on prior ED visits., Methods: This was a secondary analysis of a retrospective cohort study of ED patients with symptomatic AF at a tertiary referral center. We selected patients who were newly diagnosed with AF between July 1, 2005, and August 31, 2008, and had at least 1 ED visit before their diagnosis. We calculated the Framingham Heart Study AF risk score for each visit by documenting the presence of the risk factors (age, sex, body mass index, systolic blood pressure, hypertension treatment, PR interval, and ages of clinically significant cardiac murmur and heart failure diagnosis)., Results: Of the 296 patients newly diagnosed with AF, 115 (39%) had at least 1 prior ED visit resulting in 454 ED visits for analysis. The median time from first to last visit was 4 years (interquartile range [IQR], 2.1-5.9). The median age was 66 years (IQR, 49-79 years). Home medications included antihypertensives in 81% of visits, and 60% of visits with available electrocardiograms had a PR interval of 160 milliseconds or more. Heart failure history was reported in 23% of visits. The median AF risk score was 8 (IQR, 4-10) corresponding to a 16% 10-year predicted risk., Conclusions: Nearly 40% of patients diagnosed with new AF had previous ED visits and displayed validated risk factors for incident AF. The ED provides an opportunity to identify and educate these patients as well as refer them for primary prevention interventions., (Copyright © 2012 Elsevier Inc. All rights reserved.)

Heart failure requiring urgent therapy represents a burgeoning health care burden. Although acute heart failure syndromes are commonly defined as a change in chronic heart failure signs and symptoms requiring urgent therapy, the presentation, development, and response to treatment is highly dependent on individual patient characteristics. This heterogeneity has led to challenges in interpreting widely differing study methods, including eligibility requirements and outcome measures. To improve interpretation of results and translate such information to better patient care, it is essential to present an accurate description of the patient population and study design. Based on existing recommendations and expert consensus, the authors present standardized reporting criteria to improve interpretability of research in this challenging cohort., (Copyright © 2012 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Clinical trials for acute heart failure syndromes (AHFS) have traditionally enrolled patients well after emergency department (ED) presentation. We hypothesized a large proportion of patients would undergo changes in clinical profiles during the first 24 h of hospitalization, and these changes would be associated with adverse events. We evaluated a prospective cohort of patients with clinical data available at ED presentation and 12-24 h after ED treatment for AHFS. Patients were categorized into distinct clinical profiles at these time points based on (1) systolic blood pressure: a-hypertensive (>160 mmHg); b-normotensive (100-159 mmHg); or c-hypotensive (<100 mmHg); (2) moderate-to-severe renal dysfunction (GFR ≤ 60 ml/min/1.73 m(2)); and (3) presence of troponin positivity. A composite outcome of 30-day cardiovascular events was determined by phone follow-up. In the 370 patients still hospitalized with data available at the 12-24 h time point, 196 (53.0%) had changed their clinical profiles, with 117 (59.7%) improving and 79 (40.3%) worsening. The composite 30-day event rate was 16.9%. Patients whose clinical profile started and stayed abnormal had a significantly greater proportion of events than those who started and stayed normal (26.1% vs. 11.3%; P = 0.03). Patients with abnormal clinical profiles at presentation that remain abnormal throughout the first 12-24 h of hospitalization are at increased risk of 30-day adverse events. Future clinical trials may need to consider targeting these patients, as they may be the most likely to benefit from experimental therapy.

Objectives: During a series of reforms to the Tennessee Medicaid expansion program (TennCare) in 2005, approximately 171,000 adults were disenrolled from Medicaid. The objective of this study was to examine the statewide effect of such a disenrollment on Tennessee emergency department (ED) utilization., Methods: Administrative data on all ED visits in Tennessee from 2004 through 2006 were obtained from the State Emergency Department Database and State Inpatient Database under the Healthcare Utilization Project. Population statistics and uninsured estimates were obtained from the U.S. Census Bureau, and TennCare enrollment data were obtained from the State of Tennessee Department of TennCare. The proportion and rate of ED visits, assessed separately by payer type, were compared across a predisenrollment period from January 1, 2004, through July 31, 2005, and across a postdisenrollment period from August 1, 2005, through December 31, 2006. The proportion and rate of ED visits resulting in hospital admission, again assessed separately by payer type, were compared across the same disenrollment periods in a similar way. We fitted a series of linear models for the total number of ED visits and each proportion and rate, with various degrees of adjustment for seasonality and time trend., Results: The mean number of ED visits was 45,662 per week during the predisenrollment period and 44,463 per week during the postdisenrollment period (mean difference = -1,199; 95% confidence interval [CI] -1,722 to -676). By payer category, there was a decrease of 3,119 visits per week by TennCare beneficiaries and an increase of 2,203 per week by the uninsured. After disenrollment, the absolute proportion of ED visits by TennCare beneficiaries significantly decreased by 6.2% (95% CI = -6.6% to -5.8%), and the absolute proportion of uninsured ED visits increased by 5.3% (95% CI = 4.9% to 5.7%). The rate of ED visits by TennCare beneficiaries decreased by -0.091 ED visits/person/year (95% CI = -0.136 to -0.046) in the disenrollment period when controlling for time and seasonality. The rate of ED visits among the uninsured increased by 0.038 ED visits/person/year (95% CI = 0.011 to 0.065) in the postdisenrollment period when controlling for cubic time trend. The proportion of all TennCare ED visits that resulted in hospital admission did not change significantly between the two periods after adjusting for time trend and seasonality. The proportion of uninsured ED visits resulting in hospital admission, however, significantly increased after disenrollment by 2.0% (95% CI = 1.8% to 2.2%) and by 0.6% (95% CI = 0.0% to 1.2%) after adjusting for time and seasonality., Conclusions: The TennCare disenrollment of 2005 was associated with a modest decrease in the number of total ED visits in Tennessee. However, the payer mix among the Tennessee ED population shifted abruptly. The increased rate of ED visits by Tennessee's uninsured and the increased proportion of uninsured ED visits leading to hospital admission suggest an increased burden of illness in this highly vulnerable population., (© 2011 by the Society for Academic Emergency Medicine.)

Objective: This pilot study explored whether learning style-tailored education materials, "information prescriptions," are effective in increasing hypertension knowledge in emergency room patients., Methods: In a randomized trial, hypertensive emergency medicine patients received either standard care discharge instructions or discharge instructions in combination with an information prescription individualized to each patient's learning-style preference. Two weeks post-visit, the study team assessed changes in hypertension knowledge via a survey., Results: No significant difference was observed for changes in quiz scores on the hypertension knowledge assessment, though patients receiving the tailored information prescriptions reported higher levels of satisfaction with intervention materials., Conclusion: The study demonstrated the workflow feasibility of implementing a learning-style approach to patient education in the emergency department setting. Further research is needed to develop more robust measures of high blood pressure knowledge among the emergency department patient population. This work will contribute to establishing a framework for developing customized information prescriptions that can be broadly adapted for use in varied settings and with varied health care conditions.

Background: Atrial fibrillation (AF) is the most common sustained arrhythmia affecting over 700,000 individuals in Japan and 2.2 million in the USA. The proper management of patients with AF is critical due to the well-documented association with heart failure and stroke. A strategy to better define the emergency department (ED) management, admission decisions, and spectrum of risk from low to high is needed., Methods and Subjects: The atrial fibrillation and flutter outcomes and risk determination investigation is a prospective, observational cohort study to develop a multivariable clinical prediction rule that accurately estimates risk for adverse outcomes in patients presenting to the ED with symptomatic AF. We will enroll 430 patients at 2 sites who present to the ED with symptomatic AF defined as a new or established diagnosis of AF or atrial flutter that require ED evaluation for a complaint thought related to their rhythm disturbance. The study's endpoint is to develop an accurate, objective, internally validated, reliable clinical prediction rule to risk-stratify ED patients presenting with AF exacerbations. The rule will incorporate patient history and examination findings and laboratory studies obtained upon ED presentation, as well as trends over the first 2 h of care. This investigation's primary outcome is the incidence of any AF-related adverse event at 5 days and 30 days. We expect to complete the study by the end of 2014. The study was registered at Clinicaltrials.gov NCT01138644., (Copyright © 2011 Japanese College of Cardiology. Published by Elsevier Ltd. All rights reserved.)

Study Objective: We seek to determine how delirium and dementia affect the accuracy of the presenting illness and discharge instruction comprehension in older emergency department (ED) patients., Methods: This cross-sectional study was conducted at an academic ED from May 2008 to July 2008 and included non-nursing home patients aged 65 years and older. Two open-ended interviews were performed to assess patients' ability to accurately provide their presenting illness and comprehension of their ED discharge instructions. The surrogates' version of the presenting illness and printed discharge instructions were the reference standards. Concordance between the patient and the reference standards was determined by 2 reviewers using a 5-point scale ranging from 1 (no concordance) to 5 (complete concordance). Proportional odds logistic regression was performed to determine whether cognitive impairment was associated with presenting complaint accuracy and discharge instruction comprehension. All models were adjusted for age, health literacy, education, nonwhite race, and hearing impairment., Results: For the presenting illness analysis, 202 patients participated. Compared with patients without cognitive impairment, those with delirium superimposed on dementia (DSD) had lower odds of agreeing with their surrogates with regard to why they were in the ED (adjusted proportional odds ratio=0.20; 95% confidence interval [CI] 0.09 to 0.43). For the discharge instruction comprehension analysis, 115 patients participated. Patients with DSD had significantly lower odds of comprehending their discharge diagnosis (adjusted proportional odds ratio=0.13; 95% CI 0.04 to 0.47), return to the ED instructions (adjusted proportional odds ratio=0.18; 95% CI 0.04 to 0.82), and follow-up instructions (adjusted proportional odds ratio=0.09; 95% CI 0.02 to 0.35) compared with patients without cognitive impairment., Conclusion: DSD is associated with decreased accuracy of the older patient's presenting illness and decreased comprehension of ED discharge instructions., (Copyright © 2011 American College of Emergency Physicians. Published by Mosby, Inc. All rights reserved.)

Study Objective: Atrial fibrillation affects more than 2 million people in the United States and accounts for nearly 1% of emergency department (ED) visits. Physicians have little information to guide risk stratification of patients with symptomatic atrial fibrillation and admit more than 65%. Our aim is to assess whether data available in the ED management of symptomatic atrial fibrillation can estimate a patient's risk of experiencing a 30-day adverse event., Methods: We systematically reviewed the electronic medical records of all ED patients presenting with symptomatic atrial fibrillation between August 2005 and July 2008. Predefined adverse outcomes included 30-day ED return visit, unscheduled hospitalization, cardiovascular complication, or death. We performed multivariable logistic regression to identify predictors of 30-day adverse events. The model was validated with 300 bootstrap replications., Results: During the 3-year study period, 914 patients accounted for 1,228 ED visits. Eighty patients were excluded for non-atrial-fibrillation-related complaints and 2 patients had no follow-up recorded. Of 832 eligible patients, 216 (25.9%) experienced at least 1 of the 30-day adverse events. Increasing age (odds ratio [OR] 1.20 per decade; 95% confidence interval [CI] 1.06 to 1.36 per decade), complaint of dyspnea (OR 1.57; 95% CI 1.12 to 2.20), smokers (OR 2.35; 95% CI 1.47 to 3.76), inadequate ventricular rate control (OR 1.58; 95% CI 1.13 to 2.21), and patients receiving β-blockers (OR 1.44; 95% CI 1.02 to 2.04) were independently associated with higher risk for adverse events. C-index was 0.67., Conclusion: In ED patients with symptomatic atrial fibrillation, increased age, inadequate ED ventricular rate control, dyspnea, smoking, and β-blocker treatment were associated with an increased risk of a 30-day adverse event., (Copyright © 2010 American College of Emergency Physicians. Published by Mosby, Inc. All rights reserved.)

Study Objective: Delirium's adverse effect on long-term mortality in older hospitalized patients is well documented, whereas its effect in older emergency department (ED) patients remains unclear. Similarly, the consequences of delirium on nursing home patients treated in the ED are also unknown. As a result, we seek to determine whether delirium in the ED is independently associated with 6-month mortality in older patients and whether this relationship is modified by nursing home status., Methods: Our prospective cohort study was conducted at a tertiary care, academic ED, using convenience sampling, and included English-speaking patients who were aged 65 years and older and were in the ED for less than 12 hours at enrollment. Patients were excluded if they refused consent, were previously enrolled, were unable to follow simple commands at baseline, were comatose, or had incomplete data. The Confusion Assessment Method for the Intensive Care Unit was used to determine delirium and was administered by trained research assistants. Cox proportional hazard regression was performed to determine whether delirium in the ED was independently associated with 6-month mortality after adjusting for age, comorbidity burden, severity of illness, dementia, functional dependence, and nursing home residence. To test whether the effect of delirium in the ED on 6-month mortality was modified by nursing home residence, an interaction term (delirium*nursing home) was incorporated into the multivariable model. Hazard ratios with their 95% confidence intervals were reported., Results: Of the 628 patients enrolled, 108 (17.2%) were delirious in the ED and 58 (9.2%) were from the nursing home. For the entire cohort, the 6-month mortality rate was higher in the delirious group compared with the nondelirious group (37.0% versus 14.3%). Delirium was an independent predictor of increased 6-month mortality (hazard ratio=1.72; 95% confidence interval 1.04 to 2.86) after adjusting for age, comorbidity burden, severity of illness, dementia, functional dependence, and nursing home residence. The "delirium*nursing home" interaction was nonsignificant (P=.86), indicating that place of residence had no effect on the relationship between delirium in the ED and 6-month mortality., Conclusion: Delirium in older ED patients is an independent predictor of increased 6-month mortality, and this relationship appears to be present regardless of nursing home status., (Copyright (c) 2009 American College of Emergency Physicians. Published by Mosby, Inc. All rights reserved.)

Background: Emergency Department (ED) overcrowding is a serious public health issue, but few solutions exist., Objectives: We sought to determine the impact of physician triage on ED length of stay for discharged and admitted patients, left-without-being-seen (LWBS) rates, and ambulance diversion., Methods: This was a pre-post study performed using retrospective data at an urban, academic tertiary care, Level I trauma center. On July 11, 2005, physician triage was initiated from 1:00 p.m. to 9:00 p.m., 7 days a week. An additional physician was placed in triage so that the ED diagnostic evaluation and treatment could be started in waiting room patients. Using the hospital information system, we obtained individual patient data, ED and waiting room statistics, and diversion status data from a 9-week pre-physician triage (May 11, 2005 to July 10, 2005) and a 9-week physician triage (July 11, 2005 to September 9, 2005) period., Results: We observed that overall ED length of stay decreased by 11 min, but this decrease was entirely attributed to non-admitted patients. No difference in ED length of stay was observed in admitted patients. LWBS rates decreased from 4.5% to 2.5%. Total time spent on ambulance diversion decreased from 5.6 days per month to 3.2 days per month., Conclusion: Physician triage was associated with a decrease in LWBS rates, and time spent on ambulance diversion. However, its effect on ED LOS was modest in non-admitted ED patients and negligible in admitted patients., (Copyright 2010 Elsevier Inc. All rights reserved.)

Objectives: To determine whether nursing home patients are more likely than non-nursing home patients to present to the emergency department (ED) with delirium and to explore how variations in their delirium risk factor profiles contribute to this relationship., Design: Prospective cross-sectional study., Setting: Tertiary care academic ED., Participants: Three hundred forty-one English-speaking patients aged 65 and older., Measurements: Delirium status was determined using the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) administered by trained research assistants. Multivariable logistic regression was used to determine whether nursing home residence was independently associated with delirium. Adjusted odds ratios (ORs) with their 95% confidence intervals (95% CIs) were reported., Results: Of the 341 patients enrolled, 58 (17.0%) resided in a nursing home and 38 (11.1%) were considered to have delirium in the ED. Of the 58, (22 (37.9%) nursing home patients and 16 of 283 (5.7%) non-nursing home patients had delirium; unadjusted OR=10.2, 95% CI=4.9-21.2). After adjusting for dementia, a Katz activity of daily living score less than or equal to 4, hearing impairment, and the presence of systemic inflammatory response syndrome, nursing home residence was independently associated with delirium in the ED (adjusted OR=4.2, 95% CI=1.8-9.7)., Conclusion: In the ED setting, nursing home patients were more likely to present with delirium, and this relationship persisted after adjusting for delirium risk factors.

Objectives: Missing delirium in the emergency department (ED) has been described as a medical error, yet this diagnosis is frequently unrecognized by emergency physicians (EPs). Identifying a subset of patients at high risk for delirium may improve delirium screening compliance by EPs. The authors sought to determine how often delirium is missed in the ED and how often these missed cases are detected by admitting hospital physicians at the time of admission, to identify delirium risk factors in older ED patients, and to characterize delirium by psychomotor subtypes in the ED setting., Methods: This cross-sectional study was a convenience sample of patients conducted at a tertiary care, academic ED. English-speaking patients who were 65 years and older and present in the ED for less than 12 hours at the time of enrollment were included. Patients were excluded if they refused consent, were previously enrolled, had severe dementia, were unarousable to verbal stimuli for all delirium assessments, or had incomplete data. Delirium status was determined by using the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) administered by trained research assistants (RAs). Recognition of delirium by emergency and hospital physicians was determined from the medical record, blinded to CAM-ICU status. Multivariable logistic regression was used to identify independent delirium risk factors. The Richmond Agitation and Sedation Scale was used to classify delirium by its psychomotor subtypes., Results: Inclusion and exclusion criteria were met in 303 patients, and 25 (8.3%) presented to the ED with delirium. The vast majority (92.0%, 95% confidence interval [CI] = 74.0% to 99.0%) of delirious patients had the hypoactive psychomotor subtype. Of the 25 patients with delirium, 19 (76.0%, 95% CI = 54.9% to 90.6%) were not recognized to be delirious by the EP. Of the 16 admitted delirious patients who were undiagnosed by the EPs, 15 (93.8%, 95% CI = 69.8% to 99.8%) remained unrecognized by the hospital physician at the time of admission. Dementia, a Katz Activities of Daily Living (ADL) < or = 4, and hearing impairment were independently associated with presenting with delirium in the ED. Based on the multivariable model, a delirium risk score was constructed. Dementia, Katz ADL < or = 4, and hearing impairment were weighed equally. Patients with higher risk scores were more likely to be CAM-ICU positive (area under the receiver operating characteristic [ROC] curve = 0.82). If older ED patients with one or more delirium risk factors were screened for delirium, 165 (54.5%, 95% CI = 48.7% to 60.2%) would have required a delirium assessment at the expense of missing 1 patient with delirium, while screening 141 patients without delirium., Conclusions: Delirium was a common occurrence in the ED, and the vast majority of delirium in the ED was of the hypoactive subtype. EPs missed delirium in 76% of the cases. Delirium that was missed in the ED was nearly always missed by hospital physicians at the time of admission. Using a delirium risk score has the potential to improve delirium screening efficiency in the ED setting.

Background: The ED disposition of patients with non-high-risk acute decompensated heart failure (ADHF) is challenging. To help address this problem, we investigated the cost-effectiveness of different ED disposition strategies., Methods: We constructed a decision analytic model evaluating the cost-effectiveness of 3 possible ED ADHF disposition strategies in a 60-year-old man: (1) discharge home from the ED; (2) observation unit (OU) admission; (3) inpatient admission. Base case patients had no high-risk features. We used Medicare costs and the national physician fee schedule to capture ED, OU, and hospital costs, including costs of complications and death. All analyses were conducted using Decision Maker software (University of Medicine and Dentistry of New Jersey, Newark, NJ)., Results: Compared to ED discharge, OU admission had a reasonable marginal cost-effectiveness ratio ($44 249/quality adjusted life year), whereas hospital admission had an unacceptably high marginal cost-effectiveness ratio ($684 101/quality adjusted life year). Sensitivity analyses demonstrated that as the risk of early (within 5 days) and late (within 30 days) readmission exceeded 36% and 74%, respectively, in those discharged from the ED, OU admission became less costly and more effective than ED discharge. Similarly, an increase in relative risk of both early and late death in those discharged from the ED improves the marginal cost-effectiveness ratio of OU admission. Finally, as postdischarge event rates increase in those discharged from the OU, hospital admission became more cost-effective., Conclusion: Observation unit admission for patients with non-high-risk ADHF has a societally acceptable marginal cost-effectiveness ratio compared to ED discharge. However, as ED and OU discharge event rates increase, hospital admission becomes the more cost-effective strategy.

Background: The effect of decreasing lab turnaround times on emergency department (ED) efficiency can be estimated through system-level simulation models and help identify important outcome measures to study prospectively. Furthermore, such models may suggest the advantage of bedside or point-of-care testing and how they might affect efficiency measures., Objectives: The authors used a sophisticated simulation model in place at an adult urban ED with an annual census of 55,000 patient visits. The effect of decreasing turnaround times on emergency medical services (EMS) diversion, ED patient throughput, and total ED length of stay (LOS) was determined., Methods: Data were generated by using system dynamics analytic modeling and simulation approach on 90 separate days from December 2, 2007, through February 29, 2008. The model was a continuous simulation of ED flow, driven by real-time actual patient data, and had intrinsic error checking to assume reasonable goodness-of-fit. A return of complete laboratory results incrementally at 120, 100, 80, 60, 40, 20, and 10 minutes was compared. Diversion calculation assumed EMS closure when more than 10 patients were in the waiting room and 100% ED bed occupancy had been reached for longer than 30 minutes, as per local practice. LOS was generated from data insertion into the patient flow stream and calculation of time to specific predefined gates. The average accuracy of four separate measurement channels (waiting room volume, ED census, inpatient admit stream, and ED discharge stream), all across 24 hours, was measured by comparing the area under the simulated curve against the area under the measured curve. Each channel's accuracy was summed and averaged for an overall accuracy rating., Results: As lab turnaround time decreased from 120 to 10 minutes, the total number of diversion days (maximum 57 at 120 minutes, minimum 29 at 10 minutes), average diversion hours per day (10.8 hours vs. 6.0 hours), percentage of days with diversion (63% vs. 32%), and average ED LOS (2.77 hours vs. 2.17 hours) incrementally decreased, while average daily throughput (104 patients vs. 120 patients) increased. All runs were at least 85% accurate., Conclusions: This simulation model suggests compelling improvement in ED efficiency with decreasing lab turnaround time. Outcomes such as time on EMS diversion, ED LOS, and ED throughput represent important but understudied areas that should be evaluated prospectively. EDs should consider processes that will improve turnaround time, such as point-of-care testing, to obtain these goals.

Objectives: To describe the evaluation and outcomes of elder patients with suspected acute coronary syndromes (ACS) presenting to the emergency department (ED)., Methods: This was a post hoc analysis of the Internet Tracking Registry for Acute Coronary Syndromes (i*trACS) registry, which had 17,713 ED visits for suspected ACS. First visits from the United States with nonmissing patient demographics, 12-lead electrocardiogram results, and clinical history were included in the analysis. Those who used cocaine or amphetamines or left the ED against medical advice were excluded. Elder was defined as age 75 years or older. ACS was defined by 30-day revascularization, Diagnosis-related Group codes, or death within 30 days with positive cardiac biomarkers at index hospitalization. Multivariable logistic regression analyses were performed to determine the association between being elder and 1) 30-day all-cause mortality, 2) ACS, 3) diagnostic tests ordered, and 4) disposition. Multivariable logistic regression was also performed to determine which clinical variables were associated with ACS in elder and nonelder patients., Results: A total of 10,126 patients with suspected ACS presenting to the ED were analyzed. For patients presenting to the ED, being elder was independently associated with ACS and all-cause 30-day mortality, with adjusted odds ratios of 1.8 (95% confidence interval [CI] = 1.5 to 2.2) and 2.6 (95% CI = 1.6 to 4.3), respectively. Elder patients were more likely to be admitted to the hospital (adjusted odds ratio, 2.2; 95% CI = 1.8 to 2.6), but there were no differences in the rates of cardiac catheterization and noninvasive stress cardiac imaging. Different clinical variables were associated with ACS in elder and nonelder patients. Chest pain as chief complaint, typical chest pain, and previous history of coronary artery disease were significantly associated with ACS in nonelder patients but were not associated with ACS in elder patients. Male gender and left arm pain were associated with ACS in both elder and nonelder patients., Conclusions: Elder patients who present to the ED with suspected ACS represent a population at high risk for ACS and 30-day mortality. Elders are more likely to be admitted to the hospital, but despite an increased risk for adverse events, they have similar odds of receiving a diagnostic test, such as stress cardiac imaging or cardiac catheterization, compared with nonelder patients. Different clinical variables are associated with ACS, and clinical prediction rules utilizing presenting symptoms should consider the effect modification of age.

Objectives: To examine the effects of emergency department (ED) expansion on ambulance diversion at an urban, academic Level 1 trauma center., Methods: This was a pre-post study performed using administrative data from the ED and hospital electronic information systems. On April 19, 2005, the adult ED expanded from 28 to 53 licensed beds. Data from a five-month pre-expansion period (November 1, 2004, to March 1, 2005) and a five-month postexpansion period (June 1, 2005, to October 31, 2005) were included for this analysis. ED and waiting room statistics as well as diversion status were obtained. Total ED length of stay (LOS) was defined as the time from patient registration to the time leaving the ED. Admission hold LOS was defined as the time from the inpatient bed request to the time leaving the ED for admitted patients. Mean differences (95% confidence interval [CI]) in total time spent on ambulance diversion per month, diversion episodes per month, and duration per diversion episode were calculated. An accelerated failure time model was performed to test if ED expansion was associated with a reduction in ambulance diversion while adjusting for potential confounders., Results: From pre-expansion to postexpansion, daily patient volume increased but ED occupancy decreased. There was no significant change in the time spent on ambulance diversion per month (mean difference, 10.9 hours; 95% CI = -74.0 to 95.8), ambulance diversion episodes per month (two episodes per month; 95% CI = -4.2 to 8.2), and duration of ambulance diversion per episode (0.3 hours; 95% CI = -4.0 to 3.5). Mean (+/-SD) total LOS increased from 4.6 (+/-1.9) to 5.6(+/-2.3) hours, and mean (+/-SD) admission hold LOS also increased from 3.0 (+/-0.2) to 4.1 (+/-0.2) hours. The proportion of patients who left without being seen was 3.5% and 2.7% (p = 0.06) in the pre-expansion and postexpansion periods, respectively. In the accelerated failure time model, ED expansion did not affect the time to the next ambulance diversion episode., Conclusions: An increase in ED bed capacity did not affect ambulance diversion. Instead, total and admission hold LOS increased. As a result, ED expansion appears to be an insufficient solution to improve diversion without addressing other bottlenecks in the hospital.

Study Objective: We seek to determine whether cardiac risk factor burden (defined as the number of conventional cardiac risk factors present) is useful for the diagnosis of acute coronary syndromes in the emergency department (ED) setting., Methods: This was a post hoc analysis of the Internet Tracking Registry of Acute Coronary Syndromes (i*trACS) registry, which had 17,713 ED visits for suspected acute coronary syndromes. First visit for US patients who were not cocaine or amphetamine users, who did not leave against medical advice, and for whom ECG and demographic data were complete were included. Acute coronary syndrome was defined by 30-day revascularization, diagnostic-related group codes, or death within 30 days, with positive cardiac biomarkers at index hospitalization. Cardiac risk factors were diabetes, hypertension, smoking, hypercholesterolemia, and family history of coronary artery disease. Cardiac risk factor burden was defined as the number of risk factors present. Because multiple logistic regression analysis revealed that age modified the relationship between cardiac risk factor burden and acute coronary syndromes, a stratified analysis was performed for 3 age categories: younger than 40, 40 to 65, and older than 65 years. Positive likelihood ratios and negative likelihood ratios with their 95% confidence intervals (CIs) were calculated for each total risk factor cutoff., Results: Of 10,806 eligible patients, 871 (8.1%) had acute coronary syndromes. In patients younger than 40 years, having no risk factors had a negative likelihood ratio of 0.17 (95% CI 0.04 to 0.66), and having 4 or more risk factors had a positive likelihood ratio of 7.39 (95% CI 3.09 to 17.67). In patients between 40 and 65 years of age, having no risk factors had a negative likelihood ratio of 0.53 (95% CI 0.40 to 0.71), and having 4 or more risk factors had a positive likelihood ratio of 2.13 (95% CI 1.66 to 2.73). In patients older than 65 years, having no risk factors had a negative likelihood ratio of 0.96 (95% CI 0.74 to 1.23), and having 4 or more risk factors had a positive likelihood ratio of 1.09 (95% CI 0.64 to 1.62)., Conclusion: Cardiac risk factor burden has limited clinical value in diagnosing acute coronary syndromes in the ED setting, especially in patients older than 40 years.

Study Objective: We evaluate associations between pairs of discordant cardiac biomarkers (positive MB band of creatine kinase [CKMB] with negative creatine kinase, positive CKMB with negative cardiac troponin, and positive troponin with negative CKMB) and the presence of acute coronary syndromes in emergency department (ED) chest pain patients., Methods: This was a secondary analysis of a prospective registry. Data were obtained from the multicenter Internet Tracking Registry of Acute Coronary Syndromes, which included 17,713 ED visits for possible acute coronary syndrome between June 1999 and August 2001. First visits and first ED cardiac biomarker results from the 9 sites, 8 in the United States and 1 in Singapore, were included. Subjects were excluded for incomplete information or an initial ECG consistent with ST-segment elevation myocardial infarction. Acute coronary syndrome was defined by diagnosis-related group code indicating myocardial infarction, positive invasive or noninvasive diagnostic testing, revascularization, or death during hospitalization or within 30 days., Results: Of 8,769 eligible patients, 1,614 (18.4%) had acute coronary syndrome. The CKMB and cardiac troponin results were discordant in 7% of patients (CKMB+/cardiac troponin-, 4.9%, CKMB-/cardiac troponin+ 2.1%), whereas increased CKMB with normal creatine kinase levels occurred in 239 (3.1%) patients. The unadjusted odds ratios with 95% confidence intervals for acute coronary syndrome in patients with and without discordant markers were: CKMB+/CK- 5.7 (4.4-7.4), CKMB+/CK+ 4.4 (3.6-5.2), CKMB-/cTn+ 4.8 (3.4-6.8), CKMB+/cTn- 2.2 (1.7-2.8), CKMB+/cTn+ 26.6 (18.0-39.3). For the group with cardiac troponin, the reference category was negative troponin and negative CKMB; for the group with creatine kinase, the reference category was negative CKMB but either a positive or negative creatine kinase., Conclusion: Among the spectrum of ED patients with chest pain, an increased CKMB level with a normal creatine kinase level identifies patients at increased risk for acute coronary syndrome. Similarly, an increased troponin level regardless of CKMB level and an increased CKMB level regardless of troponin level identify patients at higher risk for acute coronary syndrome than those with uniformly normal cardiac biomarker levels. Our data suggest that discordant cardiac biomarkers may identify patients at increased risk for acute coronary syndrome.