Prehospital Ground and Helicopter-Based Extracorporeal Cardiopulmonary Resuscitation (ECPR) Reduce Barriers to ECPR: A GIS Model.

INTRODUCTION: Evidence suggests that Extracorporeal Cardiopulmonary Resuscitation (ECPR) can improve survival rates for nontraumatic out-of-hospital cardiac arrest (OHCA). However, when ECPR is indicated over 50% of potential candidates are unable to qualify in the current hospital-based system due to geographic limitations. This study employs a Geographic Information System (GIS) model to estimate the number of ECPR eligible patients within the United States in the current hospital-based system, a prehospital ECPR ground-based system, and a prehospital ECPR Helicopter Emergency Medical Services (HEMS)-based system. METHODS: We constructed a GIS model to estimate ground and helicopter transport times. Time-dependent rates of ECPR eligibility were derived from the Resuscitation Outcome Consortium (ROC) database, while the Cardiac Arrest Registry to Enhance Survival (CARES) registry determined the number of OHCA patients meeting ECPR criteria within designated transportation times. Emergency Medical Services (EMS) response time, ECPR candidacy determination time, and on-scene time were modeled based on data from the EROCA trial. The combined model was used to estimate the total ECPR eligibility in each system. RESULTS: The CARES registry recorded 736,066 OHCA patients from 2013 to 2021. After applying clinical criteria, 24,661 (3.4%) ECPR-indicated OHCA were identified. When considering overall ECPR eligibility within 45 min from OHCA to initiation, only 11.76% of OHCA where ECPR was indicated were eligible in the current hospital-based system. The prehospital ECPR HEMS-based system exhibited a four-fold increase in ECPR eligibility (49.3%), while the prehospital ground-based system showed a more than two-fold increase (28.4%). CONCLUSIONS: The study demonstrates a two-fold increase in ECPR eligibility for a prehospital ECPR ground-based system and a four-fold increase for a prehospital ECPR HEMS-based system compared to the current hospital-based ECPR system. This novel GIS model can inform future ECPR implementation strategies, optimizing systems of care.

Rural cardiac arrest care and outcomes in Texas.

INTRODUCTION: Out-of-hospital cardiac arrest (OHCA) victims in rural communities have worse outcomes despite higher rates of bystander cardiopulmonary resuscitation (CPR) than urban communities. In this retrospective cohort study we attempt to evaluate selected aspects of the continuum of care, including post-arrest care, for rural OHCA victims, and we investigated factors that could contribute to rural areas having higher rates of bystander CPR. METHODS: We analyzed 2014-2020 Texas Cardiac Arrest Registry to Enhance Survival (TX-CARES) data for adult OHCAs. We linked TX-CARES data to census tract data and stratified OHCAs into urban and rural events. We created a mixed-model logistic regression to compare cardiac arrest characteristics, pre-hospital care, and post-arrest care between rural and urban settings. We adjusted for confounders and modeled census tract as a random intercept. We then compared different regression models evaluating the association between response time and bystander CPR. RESULTS: We included 1202 rural and 28,288 urban cardiac arrests. Comparing rural to urban OHCAs, rates of bystander CPR were significantly higher in rural communities (49.6% v 40.6%, aOR 1.3 95% CI 1.1-1.5). The median response time for rural (11.5 min) was longer than urban (7.3 min). The occurrence of an ambulance response time of <10 min was notably less common in rural communities when compared to urban areas (aOR 0.2, 95% CI 0.2-0.2). For post-arrest care the rates of percutaneous coronary intervention (PCI) were higher in rural than urban communities (aOR 1.7, 95% CI 1.01-2.8). The rates of AED and TTM were similar between urban and rural communities. Survival to hospital discharge was significantly lower in rural communities than urban communities (aOR 0.6, 95% CI 0.4-0.7). Although not significant, rural communities had lower rate of survival with a cognitive performance score (CPC) of 1 or 2 (aOR 0.7, 05% CI 0.6-1.003). We identified no association between response time and bystander CPR. CONCLUSION: Patients in rural areas of Texas have lower survival after OHCA compared to patients in urban areas, despite having significantly greater rates of bystander CPR and PCI. We did not find a link between response time and bystander CPR rates.

First Responder CPR and Survival Differences in Texas Minority and Lower Socioeconomic Status Neighborhoods.

INTRODUCTION: First responder (FR) cardiopulmonary resuscitation (CPR) is an important component of out-of-hospital cardiac arrest (OHCA) care. However, little is known about FR CPR disparities. METHODS: We linked the 2014-2021 Texas Cardiac Arrest Registry to Enhance Survival (TX-CARES) database to census tract data. We included non-traumatic OHCAs that were not witnessed by 9-1-1 responders and did not receive bystander CPR. We defined census tracts as having >50% of a race/ethnicity: White, Black, or Hispanic/Latino. We also stratified patients into quartiles based on socioeconomic status (SES): household income, high school graduation, and unemployment. We also combined race/ethnicity and income to create a total of five mixed strata, comparing lower income and minority census tracts to high income White census tracts. We created mixed model logistic regression models, adjusting for confounders and modeling census tract as a random intercept. Using the models, we compared FR CPR rates for census race/ethnicity (Black and Hispanic/Latino compared to White), and SES quartiles (2nd, 3rd, and 4th quartiles compared to 1st quartiles). Secondarily, we evaluated the association between FR CPR and survival for all strata. RESULTS: We included 21,966 OHCAs, and 57.4% had FR CPR. Evaluating the association between census tract characteristic and FR CPR, majority Black (aOR 0.30, 95% CI 0.22-0.41) had a lower bystander CPR rate when compared to majority White. The lowest income quartile had a lower rate of bystander CPR (aOR 0.80, 95% CI 0.65-0.98). The worst unemployment quartile was also associated with a lower rate of FR CPR (aOR 0.75, 95% CI 0.61-0.92). Combining race/ethnicity and income, middle income majority Black (30.0%; aOR 0.27, 95% CI 0.17-0.46) and low income >80% Black (31.8%; aOR 0.27, 95% CI 0.10-0.68) had lower rates of FR CPR in comparison to high income majority White. There were no associations between Hispanic or lower high school graduation and lower rates of FR CPR. We found no association between FR CPR and survival for all three strata. CONCLUSION: While we identified disparities in FR CPR in low SES and majority Black census tracts, we identified no association between FR CPR and survival in Texas.

Community Variations in Out-of-Hospital Cardiac Arrest Care and Outcomes in Texas.

Background: Large and unacceptable variation exists in cardiac resuscitation care and outcomes across communities. Texas is the second most populous state in the US with wide variation in community and emergency response infrastructure. We utilized the Texas-CARES registry to perform the first Texas state analysis of out-of-hospital cardiac arrest (OHCA) in Texas, evaluating for variations in incidence, care, and outcomes.Methods: We analyzed the Texas-CARES registry, including all adult, non-traumatic OHCAs from 1/1/2014 through 12/31/2018. We analyzed the incidence and characteristics of OHCA care and outcome, overall and stratified by community. Utilizing mixed models accounting for clustering by community, we characterized variations in bystander CPR, bystander AED in public locations, and survival to hospital discharge across communities, adjusting for age, gender, race, location of arrest, and rate of witnessed arrest (bystander and 911 responder witnessed).Results: There were a total of 26,847 (5,369 per year) OHCAs from 13 communities; median 2,762 per community (IQR 444-2,767, min 136, max 9161). Texas care and outcome characteristics were: bystander CPR (43.3%), bystander AED use (9.1%), survival to discharge (9.1%), and survival with good neurological outcomes (4.0%). Bystander CPR rate ranged from 19.2% to 55.0%, and there were five communities above and five below the adjusted 95% confidence interval. Bystander AED use ranged from 0% to 19.5%, and there was one community below the adjusted 95% confidence interval. Survival to hospital discharge ranged from 6.7% to 14.0%, and there were three communities above and two below the adjusted 95% confidence interval.Conclusion: While overall OHCA care and outcomes were similar in Texas compared to national averages, bystander CPR, bystander AED use, and survival varied widely across communities in Texas. These variations signal opportunities to improve OHCA care and outcomes in Texas.

The impact of COVID-19 on incidence and outcomes from out-of-hospital cardiac arrest (OHCA) in Texas.

INTRODUCTION: Emerging research demonstrates lower rates of bystander cardiopulmonary resuscitation (BCPR), public AED (PAD), worse outcomes, and higher incidence of OHCA during the COVID-19 pandemic. We aim to characterize the incidence of OHCA during the early pandemic period and the subsequent long-term period while describing changes in OHCA outcomes and survival. METHODS: We analyzed adult OHCAs in Texas from the Cardiac Arrest Registry to Enhance Survival (CARES) during March 11-December 31 of 2019 and 2020. We stratified cases into pre-COVID-19 and COVID-19 periods. Our prehospital outcomes were bystander cardiopulmonary resuscitation (BCPR), public AED use (PAD), sustained ROSC, and prehospital termination of resuscitation (TOR). Our hospital survival outcomes were survival to hospital admission, survival to hospital discharge, good neurological outcomes (CPC Score of 1 or 2) and Utstein bystander survival. We created a mixed effects logistic regression model analyzing the association between the pandemic on outcomes, using EMS agency as the random intercept. RESULTS: There were 3619 OHCAs (45.0% of overall study population) in 2019 compared to 4418 (55.0% of overall study population) in 2020. Rates of BCPR (46.2% in 2019 to 42.2% in 2020, P < 0.01) and PAD (13.0% to 7.3%, p < 0.01) decreased. Patient survival to hospital admission decreased from 27.2% in 2019 to 21.0% in 2020 (p < 0.01) and survival to hospital discharge decreased from 10.0% in 2019 to 7.4% in 2020 (p < 0.01). OHCA patients were less likely to receive PAD (aOR = 0.5, 95% CI [0.4, 0.8]) and the odds of field termination increased (aOR = 1.5, 95% CI [1.4, 1.7]). CONCLUSIONS: Our study adds state-wide evidence to the national phenomenon of long-term increased OHCA incidence during COVID-19, worsening rates of BCPR, PAD use and survival outcomes.

The past, present, and future of the Cardiac Arrest Registry to Enhance Survival (CARES).

Background: The Cardiac Arrest Registry to Enhance Survival (CARES) was created in 2004 in collaboration with the Centers for Disease Control and Prevention (CDC) and Emory University School of Medicine's Department of Emergency Medicine. The registry allows local communities to benchmark their performance, enhance the quality of care, and increase survival rates for out-of-hospital cardiac arrest (OHCA). Methods/design: CARES enrolls patients who experience a non-traumatic, EMS-treated OHCA. For each case, data is collected from three sources: 911 call center data, EMS data, and hospital data. CARES data is de-identified and stored in a secured web-based cloud platform and maintains confidentiality throughout the process. CARES data is subjected to an internal auditing system that oversees both local and regional levels. The variables in CARES adhere with the Utstein style reporting system and the National EMS Information System (NEMSIS) standard. Discussion: As of 2023, CARES captures data from a population base of over 178 million people which accounts for 53% of the total U.S. population. Over the past two decades, CARES has consistently been a part of public health surveillance for OHCA and serves as a quality improvement tool to improve cardiac arrest outcomes. Moreover, CARES commits to facilitate observational research on OHCA, continues to modernize its software platform, and comprehensively expands its coverage for the entire U.S.

Sex Differences in Receipt of Bystander Cardiopulmonary Resuscitation Considering Neighborhood Racial and Ethnic Composition.

BACKGROUND: Bystander cardiopulmonary resuscitation (B-CPR) and defibrillation for out-of-hospital cardiac arrest (OHCA) vary by sex, with women being less likely to receive these interventions in public. It is unknown whether sex differences persist when considering neighborhood racial and ethnic composition. We examined the odds of receiving B-CPR stratified by location and neighborhood. We hypothesized that women in predominantly Black neighborhoods will have a lower odds of receiving B-CPR. METHODS AND RESULTS: We conducted a retrospective study using the Cardiac Arrest Registry to Enhance Survival (CARES). Neighborhoods were classified by census tract. We modeled the odds of receipt of B-CPR (primary outcome), automatic external defibrillation application, and survival to hospital discharge (secondary outcomes) by sex. CARES collected 457 621 arrests (2013-2019); after appropriate exclusion, 309 662 were included. Women who had public OHCA had a 14% lower odds of receiving B-CPR (odds ratio [OR], 0.86 [95% CI, 0.82-0.89]), but effect modification was not seen by neighborhood (P=not significant). In predominantly Black neighborhoods, women who had public OHCA had a 13% lower odds of receiving B-CPR (adjusted OR, 0.87 [95% CI, 0.76-0.98]) and 12% lower odds of receiving automatic external defibrillation application (adjusted OR, 0.88 [95% CI, 0.78-0.99]). In predominantly Hispanic neighborhoods, women who had public OHCA were less likely to receive B-CPR (adjusted OR, 0.83 [95% CI, 0.73-0.96]) and less likely to receive automatic external defibrillation application (adjusted OR, 0.74 [95% CI, 0.64-0.87]). CONCLUSIONS: Women with public OHCA have a decreased likelihood of receiving B-CPR and automatic external defibrillation application. Findings did not differ significantly according to neighborhood composition. Despite this, our work has implications for considering strategies to reduce disparities around bystander response.

Historical neighborhood redlining and bystander CPR disparities in out-of-hospital cardiac arrest.

BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is associated with low survival rates. Bystander cardiopulmonary resuscitation (CPR) is essential for improving outcomes, but its utilization remains limited, particularly among racial and ethnic minorities. Historical redlining, a practice that classified neighborhoods for mortgage risk in 1930s, may have lasting implications for social and health outcomes. This study sought to investigate the influence of redlining on the provision of bystander CPR during witnessed OHCA. METHODS: We conducted an analysis using data from the comprehensive Cardiac Arrest Registry to Enhance Survival (CARES), encompassing 736,066 non-traumatic OHCA cases across the United States. The Home Owners' Loan Corporation (HOLC) map shapefiles were utilized to categorize census tracts of arrests into four grades (A signifying "best", B "still desirable", C "declining", and D "hazardous"). Multivariable hierarchical logistic regression models were employed to predict the likelihood of CPR provision, adjusting for various factors including age, sex, race/ethnicity, arrest location, calendar year, and state of occurrence. Additionally, we accounted for the percentage of Black residents and residents below poverty levels at the census tract level. RESULTS: Among the 43,186 witnessed cases of OHCA in graded HOLC census tracts, 37.2% received bystander CPR. The rates of bystander CPR exhibited a gradual decline across HOLC grades, ranging from 41.8% in HOLC grade A to 35.8% in HOLC grade D. In fully adjusted model, we observed significantly lower odds of receiving bystander CPR in HOLC grades C (OR 0.89, 95% CI 0.81-0.98, p = 0.016) and D (OR 0.86, 95% CI 0.78-0.95, p = 0.002) compared to HOLC grade A. CONCLUSION: Redlining, a historical segregation practice, is associated with reduced contemporary rates of bystander CPR during OHCA. Targeted CPR training in redlined neighborhoods may be imperative to enhance survival outcomes.

Walking time to nearest public automated external defibrillator for out-of-hospital cardiac arrest in a major U.S. city.

Background: How frequently out-of-hospital cardiac arrest (OHCA) occurs within a reasonable walking distance to the nearest public automated external defibrillator (AED) has not been well studied. Methods: As Kansas City, Missouri has a comprehensive city-wide public AED registry, we identified adults with an OHCA in Kansas City during 2019-2022 in the Cardiac Arrest Registry to Enhance Survival. Using AED location data from the registry, we computed walking times between OHCAs and the nearest registered AED using the Haversine formula, a mapping algorithm to calculate walking distance in miles from one location to another. Results were stratified by OHCA location (home vs. public) and by whether the patient received bystander cardiopulmonary resuscitation (CPR). Results: Of 1,522 OHCAs, 1,291 (84.8%) occurred at home and 231 (15.2%) in public. Among at-home OHCAs, 634 (49.1%) received bystander CPR and no patients had an AED applied even as 297 (23.0%) were within a 4-minute walk to the closest public AED. Among OHCAs in public, 108 (46.8%) were within a 4-minute walk to the closest public AED. For public OHCAs within a 4-minute walk, bystanders applied an AED in 13 (12.0%) of these cases and in 24.5% (13/53) of those who received bystander CPR. Conclusion: In one U.S. city with a publicly available AED registry, there were no instances in which a bystander accessed a public AED for an OHCA at home. For OHCAs in public, nearly half occurred within a 4-minute walk to the closest AED but bystander use of an AED was low.

The impact of COVID-19 pandemic on out-of-hospital cardiac arrest: An individual patient data meta-analysis.

AIM: Prior studies have reported increased out-of-hospital cardiac arrests (OHCA) incidence and lower survival during the COVID-19 pandemic. We evaluated how the COVID-19 pandemic affected OHCA incidence, bystander CPR rate and patients' outcomes, accounting for regional COVID-19 incidence and OHCA characteristics. METHODS: Individual patient data meta-analysis of studies which provided a comparison of OHCA incidence during the first pandemic wave (COVID-period) with a reference period of the previous year(s) (pre-COVID period). We computed COVID-19 incidence per 100,000 inhabitants in each of 97 regions per each week and divided it into its quartiles. RESULTS: We considered a total of 49,882 patients in 10 studies. OHCA incidence increased significantly compared to previous years in regions where weekly COVID-19 incidence was in the fourth quartile (>136/100,000/week), and patients in these regions had a lower odds of bystander CPR (OR 0.49, 95%CI 0.29-0.81, p = 0.005). Overall, the COVID-period was associated with an increase in medical etiology (89.2% vs 87.5%, p < 0.001) and OHCAs at home (74.7% vs 67.4%, p < 0.001), and a decrease in shockable initial rhythm (16.5% vs 20.3%, p < 0.001). The COVID-period was independently associated with pre-hospital death (OR 1.73, 95%CI 1.55-1.93, p < 0.001) and negatively associated with survival to hospital admission (OR 0.68, 95%CI 0.64-0.72, p < 0.001) and survival to discharge (OR 0.50, 95%CI 0.46-0.54, p < 0.001). CONCLUSIONS: During the first COVID-19 pandemic wave, there was higher OHCA incidence and lower bystander CPR rate in regions with a high-burden of COVID-19. COVID-19 was also associated with a change in patient characteristics and lower survival independently of COVID-19 incidence in the region where OHCA occurred.

Sex differences in the association between bystander CPR and survival for Out-of-Hospital cardiac arrest.

BACKGROUND: Prior studies have identified socio-cultural barriers in laypersons performing high-quality cardiopulmonary resuscitation (CPR) in women. Whether the effect of layperson bystander CPR on survival from out-of-hospital cardiac arrest (OHCA) differs by patients' sex is unknown. METHODS: Using data during 2013-2020 from an OHCA registry in the U.S., we identified adult patients with non-traumatic OHCA. The primary outcome was favorable neurological survival and the secondary outcome was survival to discharge. Multivariable logistic regression models evaluated the interaction between patients' sex and bystander CPR with survival, adjusted for patient and cardiac arrest characteristics. RESULTS: Of 420,671 patients with OHCA, 151,145 (35.9 %) occurred in women and 269,526 (64.1 %) in men. Rates of layperson bystander CPR were similar between women (38.3 %) and men (40.0 %). Rates of favorable neurological survival were 11.4 % in those with bystander CPR and 5.6 % in those without, but the association between bystander CPR and favorable neurological survival was weaker for women than men (women: adjusted OR, 1.33 [95 % CI: 1.27-1.39]; men: adjusted OR, 1.55 [95 % CI: 1.51-1.61]; interaction p < 0.001)]. Rates of survival to discharge were 13.1 % and 7.3 % in those with and without layperson bystander CPR, and the association between bystander CPR was weaker for women than men (women: adjusted OR, 1.21 [95 % CI: 1.16-1.26]; men: adjusted OR, 1.43 [95 % CI: 1.39-1.47]; interaction p < 0.001). CONCLUSIONS: For OHCA, bystander CPR was associated with higher survival in women and men. However, as currently practiced, the association between bystander CPR and higher survival was weaker for women as compared with men.

Bystander CPR and Long-Term Survival in Older Adults With Out-of-Hospital Cardiac Arrest.

BACKGROUND: Most studies on bystander cardiopulmonary resuscitation (CPR) for out-of-hospital cardiac arrest (OHCA) have focused on in-hospital or short-term survival. OBJECTIVES: The purpose of this study was to examine the association between bystander CPR and long-term survival outcomes for OHCA. METHODS: Within the Cardiac Arrest Registry to Enhance Survival, we identified 152,653 patients with OHCA ≥65 years of age or older. Using multivariable hierarchical logistic regression, we first examined the association between bystander CPR and in-hospital survival. Then, among those surviving to discharge and linked to Medicare files, we evaluated the association between bystander CPR and long-term mortality over 5 years using multivariable Cox regression. RESULTS: Overall, 58,464 (38.3%) received bystander CPR. Patients receiving bystander CPR were more likely to have an OHCA that was witnessed, in a public location, and with an initial shockable rhythm. Bystander CPR was associated with a 24% higher likelihood of surviving to hospital discharge (10.2% vs 5.5%; adjusted relative risk: 1.24 [95% CI: 1.19-1.29]; P < 0.001), and this survival benefit was similar (interaction P = 0.24) for those who were 65 to 74, 75 to 84, and ≥85 years of age. Among patients surviving to hospital discharge (median follow-up of 31 months), bystander CPR was additionally associated with lower long-term mortality vs those without bystander CPR (adjusted hazard ratio: 0.78 [95% CI: 0.73-0.84]; P < 0.001), and this benefit was also consistent across age groups (interaction P = 0.13). CONCLUSIONS: In older adults with OHCA, bystander CPR was associated with higher rates of in-hospital survival. This survival benefit was not attenuated by competing mortality risks but increased in magnitude after hospital discharge.

Racial and ethnic disparities in the treatment and outcomes for witnessed out-of-hospital cardiac arrest in Connecticut.

BACKGROUND: Racial and ethnic disparities in the treatment and outcomes for witnessed out-of-hospital cardiac arrest (OHCA) in the United States have been previously described. We sought to characterize disparities in pre-hospital care, overall survival, and survival with favorable neurological outcomes following witnessed OHCA in the state of Connecticut. METHODS: We performed a cross-sectional study to compare pre-hospital treatment and outcomes for White versus Black and Hispanic (Minority) OHCA patients submitted from Connecticut to the Cardiac Arrest Registry to Enhance Survival (CARES) between 2013 and 2021. Primary outcomes included bystander CPR use, bystander automated external defibrillator (AED) use with attempted defibrillation, overall survival, and survival with favorable cerebral function. RESULTS: 2,809 patients with witnessed OHCA were analyzed (924 Black or Hispanic; 1885 White). Minorities had lower rates of bystander CPR (31.4% vs 39.1%, P = 0.002) and bystander AED placement with attempted defibrillation (10.5% vs 14.4%, P = 0.004), with lower rates of survival to hospital discharge (10.3% vs 14.8%, P = 0.001) and survival with favorable cerebral function (65.3% vs 80.2%, P = 0.003). Minorities were less likely to receive bystander CPR in communities with median annual household income >$80, 000 (OR, 0.56; 95% CI, 0.33-0.95; P = 0.030) and in integrated neighborhoods (OR, 0.70; 95% CI, 0.52-0.95; P = 0.020). CONCLUSIONS: Black and Hispanic Connecticut patients with witnessed OHCA have lower rates of bystander CPR, attempted AED defibrillation, overall survival, and survival with favorable neurological outcomes compared to White patients. Minorities were less likely to receive bystander CPR in affluent and integrated communities.

Survey of resuscitation practices at emergency medical service agencies in the U.S.

Background: Survival for out-of-hospital cardiac arrest (OHCA) varies across emergency medical service (EMS) agencies. Yet, little is known about resuscitation response and quality improvement activities at EMS agencies. We describe herein a novel survey to EMS agencies in a U.S. registry for OHCA. Methods: Using data from the Cardiac Arrest Registry to Enhance Survival (CARES), we identified 577 EMS agencies with ≥10 OHCA cases annually between 2015 and 2019 that remained active in CARES. We administered a survey to EMS directors regarding agency characteristics, cardiac arrest response, relationships with first responders and dispatchers, quality improvement activities and perceived barriers in the community. Results: Of eligible EMS agencies, 470 (81.5%) completed the survey. The high completion rate was likely due to frequent personalized emails and phone calls, liaising with CARES state coordinators to encourage survey response, and multiple periodic drawings of an automated external defibrillator during the survey period for participating EMS agencies. The survey examined rates of resuscitation training modalities; use of resuscitation equipment and devices in the field; frequency of simulation; non-EMS stakeholder response to OHCA (dispatchers, fire, police); quality improvement; and community factors affecting bystander response to OHCA. Conclusions: In this study design paper on the RED-CASO survey, we provide summary data on EMS agency characteristics in the U.S. Upon linkage to CARES patient-level data, this survey will provide critical insights into 'best practices' at EMS agencies with the highest OHCA survival rates as well as provide insights into current disparities in outcomes.

Three-year trends in out-of-hospital cardiac arrest across the world: Second report from the International Liaison Committee on Resuscitation (ILCOR).

BACKGROUND: The International Liaison Committee on Resuscitation (ILCOR) Research and Registries Working Group previously reported data on systems of care and outcomes of out-of-hospital cardiac arrest (OHCA) in 2015 from 16 national and regional registries. To describe the temporal trends with updated data on OHCA, we report the characteristics of OHCA from 2015 through 2017. METHODS: We invited national and regional population-based OHCA registries for voluntary participation and included emergency medical services (EMS)-treated OHCA. We collected descriptive summary data of core elements of the latest Utstein style recommendation during 2016 and 2017 at each registry. For registries that participated in the previous 2015 report, we also extracted the 2015 data. RESULTS: Eleven national registries in North America, Europe, Asia, and Oceania, and 4 regional registries in Europe were included in this report. Across registries, the estimated annual incidence of EMS-treated OHCA was 30.0-97.1 individuals per 100,000 population in 2015, 36.4-97.3 in 2016, and 40.8-100.2 in 2017. The provision of bystander cardiopulmonary resuscitation (CPR) varied from 37.2% to 79.0% in 2015, from 2.9% to 78.4% in 2016, and from 4.1% to 80.3% in 2017. Survival to hospital discharge or 30-day survival for EMS-treated OHCA ranged from 5.2% to 15.7% in 2015, from 6.2% to 15.8% in 2016, and from 4.6% to 16.4% in 2017. CONCLUSION: We observed an upward temporal trend in provision of bystander CPR in most registries. Although some registries showed favourable temporal trends in survival, less than half of registries in our study demonstrated such a trend.

Socioeconomic status and post-arrest care after out-of-hospital cardiac arrest in Texas.

INTRODUCTION: Post-arrest care after out-of-hospital cardiac arrest (OHCA) is critical to optimizing outcomes, but little is known about socioeconomic disparities in post-arrest care. We evaluated the association of socioeconomic status (SES) with post-arrest care and outcomes. METHODS: We included adult OHCAs surviving to hospital admission from the 2014-2020 Texas Cardiac Arrest Registry to Enhance Survival (CARES) and stratified cases into SES quartiles based on census tract data. Outcomes were targeted temperature management (TTM), percutaneous coronary intervention (PCI), survival to discharge, and survival with a Cerebral Performance Category (CPC) 1-2. We applied both a multivariable logistic regression and a mixed effects logistic regression, comparing lower quartiles to top quartile for outcomes. We modeled receiving hospital as a random intercept. RESULTS: We included 9,936 OHCAs. Using multivariable logistic regression and ignoring the receiving hospital, lower income had lower TTM (Q3 aOR 0.6, 95% CI 0.5-0.7; Q4 aOR 0.5, 95% CI 0.5-0.6), lower PCI (Q4 aOR 0.6, 95% CI 0.4-0.8), and lower survival with good CPC. Lower education had lower TTM (Q2 aOR 0.7, 95% CI 0.7-0.8; Q3 aOR, 0.6 95% CI 0.5-0.7; Q4 aOR 0.6, 95% CI 0.5-0.7), lower survival, and lower survival with good CPC. Lower employment had lower TTM (Q3 aOR 0.7, 95% CI 0.6-0.9; Q4 aOR 0.7, 95% CI 0.6-0.9) and survival with good CPC. These relationships for post-arrest care were not significant on mixed model analyses though. CONCLUSION: Lower SES was linked to lower rates of post-arrest care and outcomes, but many of the associations diminished when adjusting for receiving hospital random effect. Further study is needed to evaluate for inter-hospital disparities in care.

Race and ethnicity disparities in post-arrest care in Texas.

INTRODUCTION: Post-arrest care is essential to the chain of survival after out-of-hospital cardiac arrest (OHCA). Sparse literature evaluates disparities in post-arrest care. We sought to measure post-arrest care disparities using a statewide OHCA registry. METHODS: We evaluated 2014-2020 data in the Texas Cardiac Arrest Registry to Enhance Survival (TX-CARES) and included adult OHCAs surviving to hospital admission. We stratified subjects by race/ethnicity. Outcomes were targeted temperature management (TTM), percutaneous intervention (PCI), early withdrawal of life-sustaining therapies (WLST), survival to discharge, and survival with cerebral performance category (CPC) of 1-2 (considered favorable). We used both multivariable and mixed-effects, logistic regression models to evaluate the association between race/ethnicity and outcomes, adjusting for confounders. We modeled receiving hospital as a random intercept for the mixed-models analysis. RESULTS: We included 8,363 OHCAs; 3,916 White, 2,251 Black, 2,196 Hispanic/Latino. On multivariable analysis, Black patients had a lower PCI (aOR 0.4, 95% CI 0.3-0.5) and survival with good CPC (aOR 0.6, 95% CI 0.6-0.7). Hispanic/Latino patients had lower TTM (aOR 0.8, 95% CI 0.7-0.9), PCI (aOR 0.6, 95% CI 0.5-0.8), survival (aOR 0.8, 95% CI 0.7-0.9), and survival with good CPC (aOR 0.7, 95% CI 0.6-0.7). However, after adjusting for clustering by receiving hospital, most of the post-arrest care relationships were negated, and Black patients actually had a higher rate of TTM (aOR 1.2, 95% CI 1.1-1.3). CONCLUSIONS: Minority OHCA victims experienced disparities in post-arrest care and outcomes. However, adjusting for receiving hospital random-effect largely diminished these findings. Inter-hospital, post-arrest care disparities may exist.

Long-Term Outcomes for Out-of-Hospital Cardiac Arrest in Elderly Patients: An Analysis of Cardiac Arrest Registry to Enhance Survival Data Linked to Medicare Files.

BACKGROUND: Most studies on out-of-hospital cardiac arrest have primarily focused on in-hospital or short-term survival. Little is known about long-term outcomes and resource use among survivors of out-of-hospital cardiac arrest. METHODS: In this observationsl study, we describe overall long-term outcomes for patients from the national Cardiac Arrest Registry to Enhance Survival linked to Medicare files to create the Cardiac Arrest Registry to Enhance Survival: Mortality, Events, and Costs for Cardiac Arrest survivors dataset. Cardiac Arrest Registry to Enhance Survival data between 2013 and 2019 were linked to Medicare data using probabilistic matching algorithms. Overall long-term mortality, readmissions, and index hospitalization costs are reported for the overall cohort. RESULTS: Among 56 425 patients who were 65 years of age or older in Cardiac Arrest Registry to Enhance Survival who survived to hospital admission, 26 875 (47.6%) were successfully linked to Medicare files. Mean (+SD) cost of the index hospitalization was $23 262+$24 199 and the median cost was $14 636 (interquartile range, $9930-$30 033). Overall, 8676 (32.3%) survived to hospital discharge with 38.0% discharged home, 11.8% to hospice care, and the remaining 50.2% to other inpatient, skilled nursing care, or rehabilitation facilities. Mortality after discharge was initially high (27.0% at 3 months) and then increased gradually, with 1- and 3-year mortality of 37.1% and 50.1%, respectively. During the first year, 40.1% were readmitted at least once, with 19.7% readmitted on > 1 occasion. CONCLUSIONS: The Cardiac Arrest Registry to Enhance Survival: Mortality, Events, and Costs for Cardiac Arrest survivors registry includes rich data on postdischarge outcomes and resource utilization. Use of this dataset will enable future investigations on the long-term effectiveness, costs, and cost-effectiveness of various interventions for out-of-hospital cardiac arrest in elderly patients.

Trends in EMS-attended out-of-hospital cardiac arrest survival, United States 2015-2019.

AIM: Everyday, nearly 1000 U.S. adults experience out-of-hospital cardiac arrest (OHCA). Survival to hospital discharge varies across many factors, including sociodemographics, location of arrest, and whether bystander intervention was provided. The current study examines recent trends in OHCA survival by location of arrest using a cohort of emergency medical service (EMS) agencies that contributed data to the Cardiac Arrest Registry to Enhance Survival. METHODS: The 2015 CARES cohort (N = 122,613) includes EMS agencies contributing data across five consecutive years, 2015-2019. We assessed trends in EMS-attended OHCA survival for the 2015 CARES cohort by location of arrest - public, residential, nursing home. Unadjusted and adjusted percentages were estimated using 3-level hierarchical logistic regression models among cases aged 18-65 years. RESULTS: Overall, survival from EMS-attended OHCA significantly increased from 12.5% in 2015 to 13.8% in 2019 (p = 0.001). Survival from bystander witnessed arrests also increased significantly from 17.8% in 2015 to 19.7% in 2019 (p = 0.004). The trend for survival increased overall and for bystander witnessed OHCAs occurring in public places and nursing homes. CONCLUSION: Increasing trends for EMS-attended OHCA survival were observed in the overall and bystander witnessed groups. No change in the trend for survival was observed among OHCAs in the groups most likely to have a desirable outcome - bystander witnessed, with a shockable rhythm, and receiving bystander intervention. Reporting and monitoring of OHCA may be an important first step in improving outcomes. Additional community interventions focused on bystander CPR and AED use may be warranted.

Race and ethnicity data in the cardiac arrest registry to enhance survival: Insights from medicare self-reported data.

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.