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For out-of-hospital cardiac arrest (OHCA), assignment of race/ethnicity data can be challenging. Validation of race/ethnicity in registry data with patients' self-reported race/ethnicity would provide insights regarding misclassification.Using recently linked 2013-2019 Cardiac Arrest Registry to Enhance Survival (CARES) data with Medicare files, we examined the concordance of race/ethnicity in CARES with self-reported race/ethnicity in Medicare. Among patients with unknown race/ethnicity in CARES, race/ethnicity data from Medicare files were reported.Of 26,875 patients in the linked data, 5757 (21.4%) had unknown race/ethnicity in CARES. Of the remaining 21,118 patients, 14,284 (67.6%) were identified in CARES as non-Hispanic White, 4771 (22.6%) as non-Hispanic Black, 1213 (5.7%) as Hispanic, 760 (3.6%) as Asian or Pacific Islander, and 90 (0.4%) as American Indian or Alaskan Native. The concordance rate for race/ethnicity between CARES and Medicare was 93.4% for patients reported as non-Hispanic White in CARES, 89.1% for non-Hispanic Blacks, 74.6% for Hispanics, 69.6% for Asians and Pacific Islanders, and 37.8% for American Indian or Alaskan Natives. For the 5757 patients with unknown race/ethnicity in CARES, 3973 (69.0%) self-reported in Medicare as non-Hispanic White, 617 (10.7%) as non-Hispanic Black, 425 (7.4%) as Hispanic, 491 (8.5%) as Asian or Pacific Islander, and 52 (0.9%) as American Indian or Alaskan Native. Race/ethnicity remained unknown in 199 (3.5%) of patients.Race/ethnicity in CARES was highly concordant with self-reported race/ethnicity in Medicare, especially for non-Hispanic White and Black individuals. For patients with unknown race/ethnicity data in CARES, the vast majority were of White race.

To evaluate the impact of community level information on the predictability of out-of-hospital cardiac arrest (OHCA) survival.We used the Cardiac Arrest Registry to Enhance Survival (CARES) to geocode 9,595 Chicago incidents from 2014 to 2019 into community areas. Community variables including crime, healthcare, and economic factors from public data were merged with CARES. The merged data were used to develop ML models for OHCA survival. Models were evaluated using Area Under the Receiver Operating Characteristic curve (AUROC) and features were analyzed using SHapley Additive exPansion (SHAP) values.Baseline results using CARES data achieved an AUROC of 84%. The final model utilizing community variables increased the AUROC to 88%. A SHAP analysis between high and low performing community area clusters showed the high performing cluster is positively impacted by good health related features and good community safety features positively impact the low performing cluster.Utilizing community variables helps predict neurologic outcomes with better performance than only CARES data. Future studies will use this model to perform simulations to identify interventions to improve OHCA survival.

Point-of-care ultrasound is a fundamental tool in the emergency department when managing the critically ill patient. Determining a patient's hemodynamic status at the bedside can better guide resuscitation efforts. The left ventricular outflow tract velocity-time integral (VTI) is a validated, noninvasive, and rapidly acquired echocardiographic measurement that is analogous to stroke volume.VTI can be used to determine fluid responsiveness and to risk stratify patients, particularly in pulmonary embolism, heart failure, and sepsis. Emergency physicians with limited experience can successfully measure VTI in a timely and accurate manner. However, VTI measurement is not commonly taught in emergency medicine residency and, as a result, it is an underused tool.VTI is an objective tool for clinicians to assess the hemodynamic status of critically ill patients. Understanding the acquisition of VTI and proper application in the context of the patient's history, clinical examination, and other bedside ultrasound findings, should be reviewed within the emergency medicine residency ultrasound curriculum. This article provides a simple four-step protocol, as well as bedside applications and potential limitations for VTI in the ED.

BACKGROUND: For faculty in academic health sciences, the balance between research, education, and patient care has been impeded by the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to identify personal and professional characteristics of faculty to understand the impact of the pandemic on faculty and consequent policy implications. METHODS: A 93-question survey was sent to faculty at a large urban public university and medical center. Demographic, family, and academic characteristics, work distribution and productivity before and during the pandemic, stress, and self-care data information were collected. Latent class analysis (LCA) was performed to identify classes of faculty sharing similar characteristics. Comparisons between latent classes were performed using analysis of variance and chi-square analyses. RESULTS: Of 497 respondents, 60% were women. Four latent classes of faculty emerged based on six significant indicator variables. Class 1 individuals were more likely women, assistant professors, nontenured with high work and home stress; Class 2 faculty were more likely associate professors, women, tenured, who reported high home and work stress; Class 3 faculty were more likely men, professors, tenured with moderate work, but low home stress; and Class 4 faculty were more likely adjunct professors, nontenured, and had low home and work stress. Class 2 reported significantly increased administrative and clinical duties, decreased scholarly productivity, and deferred self-care. CONCLUSIONS: The pandemic has not affected faculty equally. Early and mid-career individuals were impacted negatively from increased workloads, stress, and decreased self-care. Academic leaders need to acknowledge these differences and be inclusive of faculty with different experiences when adjusting workplace or promotion policies.

Background: Italy, France and New York City have reported an increase in out-of-hospital cardiac arrest (OHCA) incidence during the COVID-19 pandemic. The purpose of our study was to assess the effect of COVID-19 on OHCA cases in Chicago. Method: Cardiac Arrest Registry to Enhance Survival (CARES) database was used. Bivariate analysis was conducted to assess changes in demographic and other characteristics. We excluded the cases that occurred in a healthcare facility or a nursing home. We compared the cases reported in 2020 to 2019 (and prior years). ArcGIS was used to geocode incident addresses and to show the temporal distribution by community areas. Bivariate analysis was done using chi-square tests. Results: A total of 3221 OHCA cases were reported in Chicago in 2020, which is 31.5% higher than those reported in 2019 (n=2450 cases). This increase was higher than what has been noticed historically (for instance, the increase from 2018 to 2019 was only 17%). There was an increase in Hispanic OHCA cases (17.3% in 2020 vs. 13.5% in 2019, p Conclusion: A better understanding of the causes of the excess cardiac arrest numbers will be important to help plan and better prepare for future public health interventions. The effect of COVID-19 on OHCA survival needs to be examined further in future studies.

Introduction: After an out-of-hospital cardiac arrest (OHCA), the resulting hypoxic-ischemic injury (HII) to the brain remains the main cause of mortality. Standardized approaches for measuring the extent of injury and monitoring of changes are lacking and continue to be a critical barrier to progress in improving neurological survival. Objective: We sought to characterize the prevalence of HII detected on computerized tomography of the brain and its correlation to point-of-care optic nerve sheath diameter (ONSD) measurements as an alternative modality for detecting brain injury. Methods: Adult OHCA patients at an urban academic ED were included in this study on a convenience sample basis from 2018-2019. The patients were grouped by findings of hypoxic-ischemic injury (HII) on both initial and subsequent CT brain imaging performed after ROSC in respective groups. CT Brain findings were compared to ONSD measurements as performed with point-of-care ultrasound by fellowship-trained emergency physicians within one hour of hospital arrival and at 6 hours, after return of spontaneous circulation (ROSC) and to cerebral performance category (CPC) at hospital discharge. Results: 76 patients enrolled in the study had a median age was 59, 49% were female, and 37% survived to hospital discharge. 58 patients had CT head performed, 40 had ONSD measured within one hour, and 27 patients had both. Of that 27, 9 (33%) had evidence of HII on initial imaging and 15 (55%) had evidence of HII on subsequent imaging for a total of 20 unique patients. The average ONSD within 1 hour of ROSC for those with no HII on any imaging was 0.59 cm, and for those without HII on initial imaging but with HII on subsequent imaging was 0.67 cm, and this difference was statistically significant (p< 0.05). Of the 20 patients with HI, 14 (70%) patients died and 6 (30%) survived with a CPC of 4. The average time to first CT head was 4 hours and 45 mins and the average time to subsequent imaging was 97 hours and 45 mins. Conclusion: After an OHCA, early time point ONSD measurements can potentially indicate brain injury within 1 hour of ROSC even in those without initial evidence of HII on CT imaging.

Background Approximately 1000 out-of-hospital cardiac arrest (OHCA) occur each day in the United States. Although sex differences exist for other cardiovascular conditions such as stroke and acute myocardial infarction, they are less well understood for OHCA. Specifically, the extent to which neurological and survival outcomes after OHCA differ between men and women remains poorly characterized in the U.S. Methods and results Within the national Cardiac Arrest Registry to Enhance Survival (CARES) registry, we identified 326,138 adults with an OHCA from 2013 to 2019. Using multivariable logistic regression, we evaluated for sex differences in rates of survival to hospital admission, survival to hospital discharge, and favorable neurological survival (i.e., without severe neurological disability), adjusted for demographics, cardiac arrest characteristics and bystander interventions. Overall, 117,281 (36%) patients were women. Median age was 62 and 65 years for men and women, respectively. An initial shockable rhythm (25.1% vs 14.7%, standardized difference of 0.26) and an arrest in a public location (22.2% vs. 11.3%; standardized difference of 0.30) were more common in men, but there were no meaningful sex differences in rates of witnessed arrests, bystander cardiopulmonary resuscitation, intra-venous access, or use of mechanical devices for delivering cardiopulmonary resuscitation. Overall, the unadjusted rates of all survival outcomes were similar between men and women: survival to hospital admission (27.0% for men vs. 27.9% for women, standardized difference of −0.02), survival to hospital discharge (10.5% for men vs. 8.6% for women, standardized difference of 0.07), and favorable neurological survival (9.0% for men vs. 6.6% for women, standardized difference of 0.09). After multivariable adjustment, however, men were less likely to survive to hospital admission (adjusted OR = 0.75, 95% CI: 0.73, 0.77), survive to hospital discharge (adjusted OR = 0.83, 95% CI: 0.80, 0.85), or have favorable neurological survival (adjusted OR = 0.88, 95% CI: 0.85, 0.91). Conclusions Compared to women, men with OHCA have more favorable cardiac arrest characteristics but were less likely to survive to hospital admission, survive to discharge, nor have favorable neurological survival.

Introduction: Out-of-Hospital cardiac arrest (OHCA) is the leading cause of death with an overall survival rate of less than 10%. Organ failure and metabolic impairment are two critical elements of post-CA syndrome. Taurine and glutamate are amino acids that are expressed primarily in heart and brain. The compensatory release during osmotic stress, as seen in CA, amplifies reperfusion injury, heart stunning and brain edema. Thus, taurine and glutamate concentrations in blood likely reflects the extent of injury in the heart and brain following CA. Hypothesis: Plasma taurine and glutamate concentration correlates with CA outcomes. Methods: Adult OHCA patients (n=37) at an urban academic ED were enrolled from 2018-2019. Among them, 14 were survivors (S) and 23 were nonsurvivors (NS). Blood samples were collected at various time points including the time at hospital arrival, 6, 24, 48, 72 hours after arrival (T0, 6, 24, 48 and 72 h, respectively), and measured. T-test and GEE were used for mean comparison and longitudinal trend analysis, respectively. p < 0.05 was considered as statistically significant. Results: Plasma taurine and glutamate concentrations were compared between S and NS at T0 and across all time points. Both concentrations were significantly higher in NS vs S group at T0 (for taurine: 77.7 ± 40.0 in NS vs. 60.0 ± 31.9 μM in S, p =0.014; for glutamate: 176.4 ± 98.7 in NS vs. 162.8 ± 111.1 μM in S, p =0.0496), and showed a decreasing trend over time. In the first 6 h, taurine and glutamate level decreased more in S group than NS group (over 30% drop in S compared to Conclusions: Blood taurine and glutamate may serve as early biomarkers in predicting OHCA outcomes. Monitoring their change over time can help physicians tailor treatment decisions and patient management.

Introduction: Neurologically guided resuscitation after out-of-hospital cardiac arrest (OHCA) to improve survival has been limited due to knowledge gaps in cerebral edema changes. Point-of-care ultrasound (POCUS) for the assessment of optic nerve sheath diameter (ONSD) is an established modality to characterize the extent of cerebral edema. We aimed to describe ONSD differences by sex, rhythm type, neurological outcome using cerebral performance category (CPC), and overall survival status. Methods: We studied adult OHCA treated at an urban academic ED with return of spontaneous circulation (ROSC) from May 2018 to May 2020. After ROSC, trained emergency physicians obtained bilateral ONSD measurements at 1, 6, 24, 48, and 72 hours, in the transverse, oblique, and sagittal planes for each eye. All the ONSD measurements were averaged for each time point and comparisons were made between each predictor’s categories. To compare the mean at each time point between groups, t-test or ANOVA was used. The trend comparison was done using generalized estimating equations. Statistical analysis was performed using SAS 9.4 under the significance level of 0.05. Results: Out of 62 eligible patients, 35 (56%) were male and 27 (44%) were female, 33 (59%) had a shockable rhythm and 23 (41%) had non-shockable rhythm. At 72 hr, 6 (10%) had a CPC of 1-2 and 57 (90%) had CPC of 3-5. Overall, there were 37 (61%) survivors and 24 (39%) non-survivors. There was a notable sex difference in the mean ONSD across all time points between males and females (p = 0.031), with males showing higher ONSD, and between shockable and non-shockable (p= 0.035), with the shockable group having relatively lower ONSD. There is a statistically significant difference of mean ONSD between CPC 1-2 and CPC 3-5 groups at 6hr, 48hr, and at 72hr, with higher means in the CPC 3-5 group. Across all times, the trend line was statistically significant between non-survivors and survivors (p= 0.015), with non-survivors having higher ONSD. Conclusion: Males, patients with non-shockable rhythm, CPC 3-5 at 72 hr, and non-survivors had higher ONSD. Understanding cerebral edema dynamics during resuscitation will allow for future work to potentially tailor interventions to individual patient cerebral injury patterns.

Cardiac arrest systems of care are successfully coordinating community, emergency medical services, and hospital efforts to improve the process of care for patients who have had a cardiac arrest. As a result, the number of people surviving sudden cardiac arrest is increasing. However, physical, cognitive, and emotional effects of surviving cardiac arrest may linger for months or years. Systematic recommendations stop short of addressing partnerships needed to care for patients and caregivers after medical stabilization. This document expands the cardiac arrest resuscitation system of care to include patients, caregivers, and rehabilitative healthcare partnerships, which are central to cardiac arrest survivorship.

Background Acute chest syndrome (ACS) is the leading cause of death for patients with sickle cell disease (SCD). Early recognition of ACS improves prognosis. Objective Investigate the use of bedside lung ultrasound (BLU) in identification of early pulmonary findings associated with ACS in SCD patients. Methods Prospective, observational study of a convenience sample of SCD patients presenting to the Emergency Department (ED) for a pain crisis. BLU interpretations were made by an emergency physician blinded to the diagnosis of ACS, and were validated by a second reviewer. The electronic medical record was reviewed at discharge and at 30 days. Results Twenty SCD patients were enrolled. Median age was 31 years, median hemoglobin was 7.7 g/dL. Six patients developed ACS. Five patients in the ACS group had lung consolidations on BLU (83%) compared to 3 patients in the non-ACS group (21%), p = 0.0181, (OR = 12.05, 95% CI 1.24 to 116.73). The ACS group was also more likely to have a pleural effusion and B-lines on BLU than the non-ACS group, p = 0.0175; 0.1657, respectively. In the ACS group, peripheral and frank consolidations on BLU was 83% and 50% sensitive, 79% and 100% specific for ACS, respectively; whereas an infiltrate on initial chest X-ray (CXR) was only 17% sensitive. BLU identified lung abnormalities sooner than CXR (median 3.6 vs. 31.8 h). Conclusions Pulmonary abnormalities on BLU of an adult SCD patient presenting to the ED for a painful crisis appear before CXR, and highly suggest ACS. BLU is a promising predictive tool for ACS.

Effective interventions to identify and treat uncontrolled hypertension (HTN), particularly in underrepresented populations that use the emergency department (ED) for primary care, are critically needed. Uncontrolled HTN contributes significantly to cardiovascular morbidity and mortality and is more frequently encountered among patients presenting to the ED as compared to the primary care setting. EDs serve as the point of entry into the health care system for high-risk patient populations, including minority and low-income patients. Previous studies have demonstrated that the prevalence of uncontrolled/undiagnosed HTN in patients presenting to the ED is alarmingly high. Thus ED engagement and early risk assessment/stratification is a feasible innovation to help close health disparity gaps in HTN. A Hypertension Emergency Department Intervention Aimed at Decreasing Disparities (AHEAD2) trial, funded by the National Heart, Lung, and Blood Institute (NHLBI) is a three-arm single site randomized clinical pilot trial of adults presenting to the ED with Stage 2 hypertension (blood pressure [BP] >160/100) comparing (1) an ED-initiated Screening, Brief Intervention, and Referral for Treatment (SBIRT) focused on HTN, (2) the same ED-initiated SBIRT coupled with a Post-Acute Care Hypertension Transition Consultation by ED Clinical Pharmacists, and (3) usual care. The primary outcome is mean BP differences between study arms. Secondary outcomes are proportion of participants with BP control (BP

Introduction: Approximately 1,000 out-of-hospital cardiac arrest (OHCA) occur per day in the United States. Although survival rates remains low, the extent to which OHCA neurological outcomes differ between men and women remains poorly characterized. Methods: Within the national Cardiac Arrest Registry to Enhance Survival (CARES) registry, we identified 195,722 adult individuals with an OHCA between 2013-2017. Using multi-variable logistic regression models, we evaluated for sex differences in rates of survival to hospital discharge and favorable neurological outcome (survival with discharge CPC score of 1 or 2), adjusted for cardiac arrest characteristics, race, location, year of arrest, age, and use of targeted temperature management (TTM) and coronary angiography. Results: Overall, 70,767 (31%) patients were women. Median age was 64 and 62 years for women and men, respectively. An initial shockable rhythm (14.9% vs. 25.7%) and a witnessed arrest (40.9% vs. 45.6%) was more common in men. Bystander CPR was provided to 37% of women and 39% of men. Men were less likely to survive to hospital discharge than women (8.7% vs. 10.9%; adjusted OR 0.75, 95% CI 0.73, 0.78). Similarly, men were less likely to have favorable neurological outcome (6.6% vs. 9.2% for women; adjusted OR 0.78, 95% CI 0.74, 0.82). Further interaction analysis for the pre-hospital elements found small, but statistically significant sex differences in favorable neurological survival for witnessed status (among female OR 2.29, 95% CI 2.10, 2.49; among males OR 2.07, 95% CI 1.92, 2.23, p= 0.04) and for bystander CPR (among females OR 1.20, 95% CI 1.11, 1.29; among males OR 1.34, 95% CI 1.27, 1.42, p= 0.01). Interaction of sex with the hospital level variables of TTM and coronary angiography, for the subset of patients that survived to hospital admission, had no sex differences in favorable neurological outcome. Conclusion: Our analysis shows that for OHCA in the United States, women have better survival outcomes than men. There was a sex differences in the pre-hospital variable of BCPR, but not in the other modifiable variables of TTM and coronary angiography. Further study is needed to better understand sex differences in overall survival and neurological outcomes.

Sex- and gender-based differences are emerging as clinically significant in the epidemiology and resuscitation of patients with out-of-hospital cardiac arrest (OHCA). Female patients tend to be older, experience arrest in private locations, and have fewer initial shockable rhythms (ventricular fibrillation/ventricular tachycardia). Despite standardized algorithms for the management of OHCA, women are less likely to receive evidence-based interventions, including advanced cardiac life support medications, percutaneous coronary intervention, and targeted temperature management. While some data suggest a protective mechanism of estrogen in the heart, brain, and kidney, its role is incompletely understood. Female patients experience higher mortality from OHCA, prompting the need for sex-specific research.

Implementation of postarrest care by individual physicians and systems has been slow. Deadoption, or discontinuation of therapeutic hypothermia (TH) treatment targets, after recent prospective study results has not been well reported. This study assesses practices in the early stages of postarrest care across emergency departments (EDs) in Michigan. A 27-question Internet-based survey was distributed to EDs in Michigan in September 2013. To assess changes in practice after publication of Nielsen et al., we sent follow-up questions to all original respondents a year later. Observational data and descriptive statistics are reported. From the 142 EDs identified, we excluded critical access hospitals (N = 35), free standing EDs (N = 7), EDs that transfer critical patients to tertiary centers (N = 21), and exclusive children's hospitals (N = 3). Of the remaining 76 hospitals, we received 64 (84.2%) responses. We identified 15 respondents with a protocol to specifically initiate ED TH and transfer patients to a higher level of care. The 49 remaining were mostly teaching institutions (N = 34, 69%) and gave the ED physician the ability to initiate TH (N = 40, 82%). On follow-up 12 months later, we received 33/40 (83%) responses, of which only 5 indicated formal or informal change in TH practice or target temperature. There is substantial variation in the practice of ED postarrest care and initiation of TH across the state of Michigan, but few ED TH protocols were changed in a year's time. The consequences of postarrest treatment variability at the state and ED levels are likely under-recognized as an influence on outcome variation between regions.

There have been no published recommendations for the management of low-risk chest pain in emergency departments (EDs) across India. This is despite the fact that chest pain continues to be one of the most common presenting complaints in EDs. Risk stratification of patients utilizing an accelerated diagnostic protocol has been shown to decrease hospitalizations by approximately 40% with a low 30-day risk of major adverse cardiac events. The experts group of academic leaders from the Indian College of Cardiology and Academic College of Emergency Experts in India partnered with academic experts in emergency medicine and cardiology from leading institutions in the UK and USA collaborated to study the scientific evidence and make recommendations to guide emergency physicians working in EDs across India.