Introduction:Chest pain is the second most common chief complaint for patients undergoing evaluation in emergency departments (ED) in the United States. The American Heart Association recommends immediate physician interpretation of all electrocardiograms (ECG) performed for adults with chest pain within 10 minutes to evaluate for the finding of ST-elevation myocardial infarction (STEMI). The ECG machines provide computerized interpretation of each ECG, potentially obviating the need for immediate physician analysis; however, the reliability of computer-interpreted findings of "normal" or "otherwise normal" ECG to rule out STEMI requiring immediate intervention in the ED is unknown.Methods:We performed a prospective cohort analysis of 2,275 ECGs performed in triage in the adult ED of a single academic medical center, comparing the computerized interpretations of "normal" and "otherwise normal" ECGs to those of attending cardiologists. ECGs were obtained with a GE MAC 5500 machine and interpreted using Marquette 12SL.Results:In our study population, a triage ECG with a computerized interpretation of "normal" or "otherwise normal" ECG had a negative predictive value of 100% for STEMI (one-sided, lower 97.5% confidence interval 99.6%). None of the studied patients with these ECG interpretations had a final diagnosis of STEMI, acute coronary syndrome, or other diagnosis requiring emergent cardiac catheterization.Conclusion:In our study population, ECG machine interpretations of "normal" or "otherwise normal" ECG excluded findings of STEMI. The ECGs with these computerized interpretations could safely wait for physician interpretation until the time of patient evaluation without delaying an acute STEMI diagnosis.

ObjectiveTo calculate disability-adjusted life years (DALY) and labor productivity loss due to drug overdose out-of-hospital cardiac arrest (DO-OHCA) and compare its contribution to the burden of disease and economic impact of all-cause nontraumatic out-of-hospital cardiac arrest (OHCA) in the US.MethodsWe performed a retrospective observational cohort analysis of all adult (age >= 18 years) nontraumatic emergency medical services-treated OHCA events, including those due to DO-OHCA, from the national Cardiac Arrest Registry to Enhance Survival (CARES) database from January 1, 2017 and December 31, 2020. The main outcome measures of interest were disability-adjusted life years, annual, and lifetime labor productivity loss over the 4-year study period. The findings for the study population were extrapolated to a national level using the CARES population catchment and U.S. population estimates by year.ResultsA total of 378,088 adult OHCA events, including 23,252 DO-OHCA (6.2%) met study inclusion criteria. The DO-OHCA DALY increased from 156,707 in 2017 to 265,692 in 2020. Per year, DO-OHCA contributed to 11.4%, 12.0%, 10.5%, and 11.4% of all OHCA DALY lost from 2017-2020, respectively. The mean annual and lifetime productivity losses for all OHCA were stable over time (annual: $47K in 2017 to $50K in 2020; lifetime: $647K in 2017 to $692K in 2020). The CARES population catchment increased by 39.8% over the study period (102.6 M in 2017 to 143.4 M in 2020). For DO-OHCA, the mean annual productivity loss was approximately 30% higher than non-DO-OHCA ($64K vs. $49K in 2020, respectively). The mean lifetime productivity loss for DO-OHCA was 2.5 times higher than non-DO-OHCA ($1.6 M vs. $630K in 2020, respectively).ConclusionsThe DALY due to DO-OHCA has increased over time with expansion of the CARES dataset, but its relative contribution to total OHCA DALY (all non-traumatic etiologies) remained fairly stable. The DO-OHCAs represent approximately 6% of all adult non-traumatic EMS-treated OHCA events but has a disproportionately greater economic impact. Continued efforts to reduce DO-OHCA through public health initiatives are warranted to lessen the societal impact of OHCA in the U.S.

Background Given increases in drug overdose‐associated mortality, there is interest in better understanding of drug overdose out‐of‐hospital cardiac arrest (OHCA). A comparison between overdose‐attributable OHCA and nonoverdose‐attributable OHCA will inform public health measures. Methods and Results We analyzed data from 2017 to 2021 in the Cardiac Arrest Registry to Enhance Survival (CARES), comparing overdose‐attributable OHCA (OD‐OHCA) with OHCA from other nontraumatic causes (non‐OD‐OHCA). Arrests involving patients <18 years, health care facility residents, patients with cancer diagnoses, and patients with select missing data were excluded. Our main outcome of interest was survival with good neurological outcome, defined as Cerebral Performance Category score 1 or 2. From a data set with 537 100 entries, 29 500 OD‐OHCA cases and 338 073 non‐OD‐OHCA cases met inclusion criteria. OD‐OHCA cases involved younger patients with fewer comorbidities, were less likely to be witnessed, and less likely to present with a shockable rhythm. Unadjusted survival to hospital discharge with Cerebral Performance Category score =1 or 2 was significantly higher in the OD‐OHCA cohort (OD: 15.2% versus non‐OD: 6.9%). Adjusted results showed comparable survival with Cerebral Performance Category score =1 or 2 when the first monitored arrest rhythm was shockable (OD: 28.9% versus non‐OD: 23.5%, P=0.087) but significantly higher survival rates with Cerebral Performance Category score =1 or 2 for OD‐OHCA when the first monitored arrest rhythm was nonshockable (OD: 9.6% versus non‐OD: 3.1%, P<0.001). Conclusions Among patients presenting with nonshockable rhythms, OD‐OHCA is associated with significantly better outcomes. Further research should explore cardiac arrest causes, and public health efforts should attempt to reduce the burden from drug overdoses.

Witnessed out-of-hospital cardiac arrests (OHCA) are associated with improved outcomes with increased likelihood of rapid activation of the emergency response system thus decreasing no-flow or low-flow times. Current literature has largely treated witnessed cardiac arrest as binary (i.e. was a cardiac arrest witnessed Yes/No). We hypothesize there is a need to further delineate and categorize distinct bystander types; these differences may have important downstream contributions to outcomes and survival and targets for improving training and recognition. For example, a bystander who is a healthcare provider with formal training or has experience performing resuscitation may be associated with better outcomes than a non-medical layperson. We examined a national-level database of emergency medical services (EMS) activations in the United States (NEMSIS). Inclusion criteria were any adult (18+ years) cardiac arrest activation between January 2022 and December 2023. Cardiac arrests taking place after EMS arrival (EMS-witnessed) were excluded. Witnessed status was described as unwitnessed, witnessed by healthcare provider, witnessed by family member, or witnessed by bystander. Across basic demographic variables, we compared overall witnessed rates, family member witnessed rates, and healthcare worker witnessed rates. A total of 791,217 cardiac arrests met inclusion criteria. Overall, 62.5% of arrests were unwitnessed, 22.8% were witnessed by a family member, and 6.3% were witnessed by a healthcare provider. Across sex, cardiac arrests in male patients were more likely to be witnessed, however, cardiac arrests in female patients were more likely to be witnessed by a family member or healthcare provider (p<0.05). Significant differences in witnessed status were also seen across race/ethnicity. For instance, cardiac arrests in Black/African American patients were less likely to be witnessed by family members and cardiac arrests in Hispanic/Latino patients were less likely to be witnessed by healthcare workers (p<0.05). Our analysis of a large and nationally-representative database of cardiac arrest suggests differences in rates of witnessed cardiac arrest and – perhaps, more importantly – the existence of different types of bystanders. Moreover, when considering these differences, there is heterogeneity among demographic variables. Future research is needed to understand whether these differences in bystander type may contribute to differences in outcomes.

Background: We recently published a multivariable logistic regression model that successfully predicted neurologic outcomes in advanced age adults (≥ 65 years old) who achieve return of spontaneous circulation following out-of-hospital cardiac arrest (OHCA). Prior to externally validating this model, we sought to compare the predictive performance of our logistic regression model against common machine learning (ML) algorithms using the same dataset. Methods: We performed a retrospective observational analysis of the Cardiac Arrest Registry to Enhance Survival database from 2013-2021. All non-traumatic OHCA occurring in adults (≥65 years) who survived to hospital admission were included. The primary outcome measure was neurologically intact survival defined as a cerebral performance category (CPC) score of 1 or 2 at hospital discharge. Our original logistic regression model was compared to Boosted Trees and Decision Tree ML algorithms and assessed using accuracy, Area Under the Receiver Operating Characteristic Curve (AUC-ROC) and Area Under the Precision-Recall Curve (AUC-PR). The model variables included age, gender, race/ethnicity, location, witnessed status, who initiated cardiopulmonary resuscitation, whether an automated external defibrillator was applied prior to emergency medical services arrival, and first monitored rhythm. Results: A total of 83,561 OHCA were included. Median age was 75 years (IQR 69-82), 58.9% were male, 53% were White, 67% experienced an OHCA at home, 52% were witnessed by a bystander, 44% received bystander CPR, and 34% were found in shockable rhythm. Neurologically intact survival (CPC 1 or 2) occurred in 23% of patients. The logistic regression model had an accuracy of 79.6%, AUC-PR 0.542, and AUC-ROC of 0.774. The Boosted Trees model had an accuracy of 79.2%, AUC-PR 0.555, and AUC-ROC of 0.774. The Decision Tree Model had an accuracy of 79.3%, AUC-PR 0.490, and AUC-ROC of 0.717. Conclusion: Boosted Trees and Decision Tree ML models performed comparably to the logistic regression model in predicting favorable versus unfavorable neurological outcomes following successful resuscitation from OHCA in advanced-age adults. Given their similar performance, logistic regression may be preferred for its simplicity and interpretability over alternative ML models. Future efforts to improve and ultimately externally validate the model are warranted.

Background: A growing body of evidence suggests outcomes for cardiac arrest in adults are worse during nights and weekends when compared with daytime and weekdays. Similar research has not yet been carried out in the infant setting. Methods: We examined the National Emergency Medical Services Information System (NEMSIS), a database containing millions of emergency medical services (EMS) runs in the United States. Inclusion criteria were infant out-of-hospital cardiac arrests (patients <1 years old) taking place prior to EMS arrival between January 2021 and December 2022 where EMS documented whether return of spontaneous circulation (ROSC) was achieved. Cardiac arrests were classified as occurring during either the day (defined as 0800-1959) or the night (defined as 2000-0759) and weekends (Saturday/Sunday) or weekdays (Monday-Friday). Rates of ROSC achievement were compared. Results: A total of 8549 infant cardiac arrests met inclusion criteria: 5074 (59.4%) took place during daytime compared with 3475 (40.6%) during nighttime, and 5989 (70.1%) arrests occurred on weekdays compared with 2560 (29.9%) on weekends. Rates of ROSC achievement were significantly lower on weekends versus weekdays (16.8% vs. 14.1%; p = 0.00097). A difference in ROSC rates when comparing daytime and nighttime was seen, but this difference was not statistically significant (16.4% vs. 15.3%; p = 0.08076). Conclusion: ROSC achievement rates for infant out-of-hospital cardiac arrest are significantly lower on weekends when compared with weekdays. Further study and quality improvement work is needed to better understand this. (c) 2024 Published by Elsevier Inc

Siu, Margaret; Kelly, Edward MD, FACS; Grochowski, Kristina; Alouidor, Reginald MD, FACS; Mader, Timothy MD, FACS; Visintainer, Paul PhD; Kramer, Kristina MD; Jabbour, Nicolas MD, FACS; Kamine, Tovy Haber MD, FACS Author Information

BACKGROUND: Many trauma patients currently transferred from rural and community hospitals (RCH) to Level I trauma centers (LITC) for trauma surgery evaluation may instead be appropriate for immediate discharge or admission to the local facility after evaluation by a trauma and acute care surgery (TACS) surgeon. Unnecessary use of resources occurs with current practice. We aimed to demonstrate the feasibility and acceptance of a teletrauma surgery consultation service between LITC and RCH. STUDY DESIGN: LITC TACS surgeons provided telehealth consults on trauma patients from 3 local RCHs. After consultation, appropriate patients were transferred to LITC; selected patients remained at or were discharged from RCH. Participating TACS surgeons and RCH physicians were surveyed. RESULTS: A total of 28 patients met inclusion criteria during the 5-month pilot phase, with 7 excluded due to workflow issues. The mean +/- SD age was 63 +/- 17 years. Of 21 patients, 7 had intracranial hemorrhage; 12 had rib fractures. The mean +/- SD Injury Severity Score was 8.1 +/- 4.0). A total of 6 patients were discharged from RCH, 4 admitted to RCH hospitalist service, 2 transferred to a LITC emergency room, and 9 transferred to LITC as direct admission. There was one 30-day readmission and no missed injuries or complications, or deaths. RCH providers were highly satisfied with the teletrauma surgery consultation service, TACS surgeons, and equipment used. Mental demand and effort of consulting TACS surgeons decreased significantly as the consult number increased. CONCLUSIONS: Teletrauma surgery consultation involving 3 RCH within our system is feasible and acceptable. A total of 10 transfers and 19 emergency department visits were avoided. There was favorable acceptance by RCH providers and TACS surgeons. (J Am Coll Surg 2023;236:145-153. (c) 2022 by the American College of Surgeons. Published by Wolters Kluwer Health, Inc. All rights reserved.)

BACKGROUND:Disability-adjusted life years (DALY) are a common public health metric used to estimate disease burden. The DALY due to pediatric out-of-hospital cardiac arrest (OHCA) in the United States is unknown. We aimed to estimate pediatric OHCA DALY and to compare it with the other leading causes of pediatric death and disability in the United States.METHODS:We conducted a retrospective observational analysis of the national Cardiac Arrest Registry to Enhance Survival database. DALY were calculated as the sum of years of life lost and years lived with disability. Years of life lost were calculated using all pediatric (age <18 years) nontraumatic OHCA from the Cardiac Arrest Registry to Enhance Survival from 2016 to 2020. Disability weights based on cerebral performance category scores, an outcome measure of neurologic function, were used to estimate years lived with disability . Data were reported as total, mean, and rate per 100 000 individuals, and were compared with the leading causes of pediatric DALY in the United States published by the Global Burden of Disease study for 2019.RESULTS:Totally 11 177 OHCA met the study inclusion criteria. A modest increase in total OHCA DALY in the United States was observed from 407 500 (years of life lost = 407 435 and years lived with disability =65) in 2016 to 415 113 (years of life lost = 415 055 and years lived with disability =58) in 2020. The DALY rate increased from 553.3 per 100 000 individuals in 2016 to 568.3 per 100 000 individuals in 2020. For 2019, OHCA was the 10th leading cause of pediatric DALY lost behind neonatal disorders, injuries, mental disorders, premature birth, musculoskeletal disorders, congenital birth defects, skin diseases, chronic respiratory diseases, and asthma.CONCLUSIONS:Nontraumatic OHCA is one of the top 10 leading causes of annual pediatric DALY lost in the United States.

We sought to estimate disability-adjusted life-years (DALYs) because of adult in-hospital cardiac arrest (IHCA) and to compare IHCA DALY to other leading causes of death and disability in the United States. DALY were calculated as the sum of years of life lost and years lived with disability. The years of life lost were calculated using all adult IHCA with complete data from the American Heart Association Get With The Guidelines -Resuscita-tion database for 2015 to 2019. Cerebral performance category scores and published dis-ability weights were used to estimate the years lived with disability for survivors. The cohort's DALY were extrapolated to a national level to estimate the total United States DALY and were compared with a published ranking of the leading causes of DALY in the United States for 2018. Data were reported as DALY total and rate per 100,000. A total of 99,897 IHCA were included from 329 hospitals. The total IHCA DALY increased from 2,208,310 in 2015 to 2,225,722 in 2019. A modest decrease in the DALY rate was observed from 689 per 100,000 in 2015 to 678 per 100,000 in 2019. In 2018, the rate of IHCA DALY were 728 per 100,000, which represented the 11th leading cause of DALY. When combined with out-of-hospital cardiac arrest (1,322 per 100,000), sudden cardiac arrest (2,050 per 100,000) was found the be the 2nd leading cause of DALY after ischemic heart disease (2,681 per 100,000) in 2018. In conclusion, adult IHCA is a leading cause of DALY in the United States and has increased over time because of the expansion of the Get With The Guidelines-Resuscitation database.(c) 2023 Elsevier Inc. All rights reserved. (Am J Car-diol 2023;195:3-8)

Objectives: Tracheal intubation is a skill performed by qualified emergency medical services (EMS) providers during out-of-hospital cardiac arrest (OHCA) in adult and pediatric patients. Unsuccessful intubation can negatively impact a patient's likelihood of survival. Thus, intubation success rates are an important quality improvement benchmark. Given other demographic disparities that have been reported in adults and children, we hypothesize there might be disparities in intubation success across infant race/ethnicity and/or sex.Methods: We examined a national-level registry of EMS activations in the United States (NEMSIS). Inclusion criteria were OHCA calls involving infant patients (under 1 years of age) between January 2017 and May 2022 where EMS attempted tracheal intubation, documented whether the procedure was successful, and documented information about the patient's demographics (eg. race/ethnicity and sex). Intubation success rates across patient sex and racial/ethnic categories with more than one-hundred cardiac arrests with intubation attempts were compared.Results: A total of 3663 infant cardiac arrests where tracheal intubation was attempted met inclusion criteria. White infants were associated with significantly higher rates of intubation success (62.2%) when compared with Black or African American infants (58.1%) and Hispanic/Latino infants (56.2%) (p < .01). Female infants were associated with slightly higher rates of intubation success than male infants, but this difference was not significant (p > .2).Conclusion: Significant demographic disparities in endotracheal intubation success rates exist among infants who experience OHCA. Future studies should continue to examine these disparities with the goal of identifying why these differences occur and concrete mechanisms for eliminating such disparities.(c) 2022 Elsevier Ltd. All rights reserved.

We sought to predict survival to hospital discharge with favorable neurologic outcome for advanced age adults (>= 65 years) after successful resuscitation of non-traumatic out-ofhospital cardiac arrest (OHCA). A retrospective observational cohort analysis was performed using the national Cardiac Arrest Registry to Enhance Survival database from January 1, 2013 to December 31, 2021. All nontraumatic OHCA occurring in advanced age adults who survived to hospital admission were included. The primary outcome was survival with favorable neurologic outcome defined as a cerebral performance category score of 1 or 2 at hospital discharge. Multivariable logistic regression including patient variables (age category, gender, co-morbidities) and OHCA characteristics (location, rhythm category, witnessed status, and who initiated cardiopulmonary resuscitation) were used to predict hospital outcome. 83,574 patients met study inclusion criteria with 19,298 (23.1%) surviving with favorable neurologic outcome. The median age was 75 years (interquartile range 69 to 82 years), 58.9% were male, and a majority of events occurred at home (67.3%). Age was found to have a linear, negative association with outcome. Survival with cerebral performance category 1 or 2 ranged from 28.8% in those between the age of 65 to 69 years (n = 23,161) and 13.7% for those age >90 years (n = 4,666). The regression model produced outcome probabilities ranging from 2.6% to 80.8% with a cross-validated AUROC of 0.742 (95% confidence interval 0.738 to 0.746) and a Brier score of 0.151. In conclusion, a simple model with basic patient and OHCA characteristics can predict hospital outcomes in advanced age adults with good discrimination and calibration. (c) 2023 Elsevier Inc. All rights reserved. (Am J Cardiol 2023;207:222-228)

STUDY OBJECTIVE:Clinical decision aids can decrease health care disparities. However, many clinical decision aids contain subjective variables that may introduce clinician bias. The HEART score is a clinical decision aid that estimates emergency department (ED) patients' cardiac risk. We sought to explore patient and clinician gender's influence on HEART scores. METHODS:In this secondary analysis of a prospective observational trial, we examined a convenience sample of adult ED patients at one institution presenting with acute coronary syndrome symptoms. We compared ED clinician-generated HEART scores with researcher-generated HEART scores blinded to patient gender. The primary outcome was agreement between clinician and researcher HEART scores by patient gender overall and stratified by clinician gender. Analyses used difference-in-difference (DiD) for continuous score and prevalence-adjusted, bias-adjusted Kappa (PABAK) for binary (low versus moderate/high risk) score comparison. RESULTS:All 336 clinician-patient pairs from the original study were included. In total, 47% (158/336) of patients were women, and 52% (174/336) were treated by a woman clinician. The DiD between clinician and researcher HEART scores among men versus women patients was 0.24 (95% CI -0.01 to 0.48). Compared with researchers, men clinicians assigned a higher score to men versus women patients (DiD 0.51 [95% CI 0.16 to 0.87]), whereas women clinicians did not (DiD 0.00 [95% CI -0.33 to 0.33]). Agreement was the highest among women clinicians (PABAK 0.72; 95% CI 0.61 to 0.81) and lowest among men clinicians assessing men patients (PABAK 0.47; 95% CI 0.29 to 0.66). CONCLUSION:Patient and clinician gender may influence HEART scores. Researchers should strive to understand these influences in developing and implementing this and other clinical decision aids.

Background:The impact of the COVID-19 pandemic on out-of-hospital cardiac arrest (OHCA) burden of disease in the United States is unknown. We sought to estimate and compare disability-adjusted life years (DALYs) lost because of OHCA during the COVID-19 pandemic to prepandemic values. Methods:DALY were calculated as the sum of years of life lost (YLL) and years lived with disability (YLD). Adult non-traumatic emergency medical services-treated OHCA from the Cardiac Arrest Registry to Enhance Survival database for 2016 to 2020 were used to estimate YLL. Cerebral performance category score disability weights were used to estimate YLD. The calculated DALY for the study population was extrapolated to a national level to estimate total US DALY. Data were reported as DALY total and rate. Data for 2020 (pandemic) were compared prepandemic years (2016-2019) via the chi-square test or t-test, as appropriate. Results:A total of 440,438 OHCA met study inclusion criteria. Total OHCA DALY in the United States increased from 4,468,155 (YLL = 4,463,988; YLD = 4167) in 2019 to 5,379,660 (YLL = 5,375,464; YLD = 4197) in 2020. The DALY rate increased from 1357 per 100,000 individuals in 2019 to 1630 per 100,000 individuals in 2020. Bystander cardiopulmonary resuscitation (CPR) rates did not significantly change (47.96% in 2016-2019 vs. 47.89% in 2020; p = 0.157). Conclusion:The overall burden of disease because of adult OHCA increased significantly during the COVID-19 pandemic. We observed no change in the willingness of layperson bystanders to perform CPR on a national level in the United States.

RAC received a Loan Repayment Award from the National Heart, Lung, and Blood Institute 1L30HL159738. The other authors declare no potential conflict of interest.

Disability-adjusted life years (DALY) are a common public health metric used to estimate and compare the relative burden of one disease to another. The annual number of DALY due to in-hospital cardiac arrest (IHCA) in the United States (US) are unknown. We sought to estimate DALY following adult IHCA, and to compare IHCA DALY to other leading causes of death and disability in the US. The DALY were calculated as the sum of years of life lost (YLL) and years lived with disability (YLD). The YLL were calculated using all adult IHCA with complete data from the American Heart Association Get With The Guidelines-Resuscitation database for 2018. Cerebral performance category scores and previously established disability weights were used to estimate YLD for survivors. The cohort's calculated DALY were extrapolated to a national level to estimate total US DALY, and were compared to a published ranking of the leading causes of DALY in the US for 2018. Data were reported as total and rate (DALY per 100,000 individuals). IHCA DALY were combined with published DALY values for out-of-hospital cardiac arrest (OHCA) to estimate the public health impact of sudden cardiac arrest as a whole (ie, IHCA + OHCA). A total of 21,258 IHCA from 310 hospitals met study inclusion criteria. The DALY for the study population were 313,341 (YLL = 312,678; YLD = 663). The total DALY following adult IHCA in the US were 2,379,536 (YLL = 2,374,501; YLD = 5,035) for 2018. The rate of IHCA DALY were 727 per 100,000 population, which represented the 11th leading cause of DALY in the US in 2018. (FIGURE) When combined with OHCA (1322 per 100,000), sudden cardiac arrest (2,049 per 100,000) was found the be the 2nd leading cause of DALY in the US behind ischemic heart disease (2,681 per 100,000). Sudden cardiac arrest is a leading cause of annual disability-adjusted life years lost in the US and should be a focus of public health policy and resources.