Infant out-of-hospital cardiac arrest during nights and weekends.

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.

Predictors of outpatient follow-up care after adult emergency department asthma visits and association with 30-day outcomes.

Objective: Guidelines recommend outpatient follow-up after emergency department visits for asthma, but factors related to rates of follow-up among the adult population are understudied. We sought to describe patient and community-level predictors of outpatient follow-up after an index ED visit for asthma and evaluate the association between outpatient follow-up visits and subsequent ED revisits.Methods: We conducted a retrospective observational cohort study of adult patients with emergency departments visits for asthma. The primary predictor was time to outpatient follow-up visit within 30 days of the index ED visit. The primary outcome was all-cause ED revisit within 30 days of the index ED visit. Cox proportional hazards regression was utilized to test the association between time to outpatient follow-up and hazard of ED revisit within 30 days.Results: Time to outpatient follow-up visit within 30 days was not significantly associated with hazard of 30-day ED revisit for asthma (HR 1.05; 95% CI 0.69-1.61). However, male patients (HR 1.45; 95% C 1.11-1.89) and smokers (HR 1.67; 95% CI 1.22-2.29) were significantly more likely to have an ED revisit.Conclusion: Younger, Black patients with Medicaid were less likely to receive follow-up care relative to older patients insured by Medicare. While follow-up visits were not associated with 30-day revisit rates, differences by age, race, and insurance status suggest disproportionate barriers to accessing care. Future research may target these subgroups to improve transitions of care after an ED visit for asthma.

Inhaled Corticosteroids Rarely Prescribed at Emergency Department Discharge Despite Low Rates of Follow-Up Care.

BACKGROUND: Guidelines recommend an inhaled corticosteroid (ICS) prescription on emergency department (ED) discharge after acute asthma exacerbations. OBJECTIVE: We sought to identify rates and predictors of ICS prescription at ED discharge. Secondary outcomes included ICS prescription rates in a high-risk subgroup, outpatient follow-up rates within 30 days, and variation in ICS prescriptions among attending emergency physicians. METHODS: This was a retrospective cohort study of adult asthma ED discharges for acute asthma exacerbation across 5 urban academic hospitals. We used multivariable logistic regression to evaluate predictors of ICS prescription after adjusting for patient characteristics and hospital-level clustering. RESULTS: Among 3948 adult ED visits, an ICS was prescribed in 6% (n = 238) of visits. Only 14% (n = 552) completed an outpatient visit within 30 days. Among patients with 2 or more ED visits in 12 months, the ICS prescription rate was 6.7%. ICS administration in the ED (odds ratio [OR] 9.91; 95% CI 7.99-12.28) and prescribing a ß-agonist on discharge (OR 2.67; 95% CI 2.08-3.44) were associated with higher odds of ICS prescription. Decreased odds of ICS prescription were associated with Hispanic ethnicity (OR 0.71; 95% CI 0.51-0.99) relative to Black race, and private (OR 0.75; 95% CI 0.62-0.91) or no insurance (OR 0.54; 95% CI 0.35-0.84) relative to Medicaid. One-third (36%, n = 66) of ED attendings prescribed 0 ICS prescriptions during the study period. CONCLUSIONS: An ICS is infrequently prescribed on ED asthma discharge, and most patients do not have an outpatient follow-up within 30 days. Future studies should examine the extent to which ED ICS prescriptions improve outcomes for patients with barriers to accessing primary care.

Survival After Out-of-Hospital Cardiac Arrest: The Role of Racial Residential Segregation.

Racial and racialized economic residential segregation has been empirically associated with outcomes across multiple health conditions but not yet explored in relation to out-of-hospital cardiac arrest (OHCA). We sought to examine if measures of racial and economic residential segregation are associated with differences in survival to discharge after OHCA for Black and White Medicare beneficiaries. Utilizing age-eligible Medicare fee-for-service claims data from 2013 to 2015, we identified OHCA claims and determined survival to discharge. The primary predictor, residential segregation, was calculated using the index of concentration at the extremes (ICE) for the beneficiary residential ZIP code. Multilevel modified Poisson regression models were used to determine the association of OHCA outcomes and ZIP code level ICE measures. In total, 194,263 OHCA cases were identified among beneficiaries residing in 75% of US ZIP codes. Black beneficiaries exhibited 12.1% survival to discharge, compared with 12.5% of White beneficiaries. In fully adjusted models of the three ICE measures accounting for differences in treating hospital characteristics, there was as high as a 28% (RR 1.28, CI 1.23-1.26) higher relative likelihood of survival to discharge in the most segregated White ZIP codes (Q5) as compared to the most segregated Black ZIP codes (Q1). Racial residential segregation is independently associated with disparities in OHCA outcomes; among Medicare beneficiaries who generated a claim after suffering an OHCA, ICE measures of racial segregation are associated with a lower likelihood of survival to discharge for those living in the most segregated Black and lower income quintiles compared to higher quintiles.

Helicopter emergency medical services (HEMS) response to out-of-hospital cardiac arrest (OHCA) in the United States.

Introduction: Helicopter emergency medical services (HEMS) are used in the United States and globally to respond to patients with critical illness and victims of traumatic injury. Relatively limited research has examined their role in responding to out-of-hospital cardiac arrests (OHCA) in the United States. In this study, we compared OHCA treated by HEMS units with cardiac arrests treated by ground ambulances. Methods: We queried a large national-level database of emergency medical services (EMS) activations in the United States (NEMSIS). Inclusion criteria were OHCA activations between January 1, 2022 and December 31, 2022 treated by either HEMS or ground ambulance. Key arrest data from both groups were then compared. Interfacility transfers and cardiac arrests after EMS arrival were excluded. Results: A total of 1,233 cardiac arrests treated by HEMS and 341,096 cardiac arrests treated by ground ambulances met inclusion criteria. Comparing the two groups, cardiac arrests with HEMS response were more likely to be male (66.7% vs. 62.8%, p < 0.01), White (50.2% vs. 45.7%, p < 0.01), under 18 years old (10.9% vs. 2.7%, p < 0.001), associated with traumatic injury (19.1% vs. 5.7%, p < 0.001), witnessed (72.7% vs. 37.3%, p < 0.001), and initially-shockable (24.7% vs. 11.1%, p < 0.001). Conclusion: Our comparison of cardiac arrests treated by HEMS with cardiac arrests treated by ground ambulance reveals significant differences between the two groups. Further research is needed to better characterize HEMS' ideal role in the response to OHCA as new prehospital resuscitative techniques for non-traumatic and traumatic cardiac arrest are developed.

The Association of Racial Residential Segregation and Survival After Out-of-Hospital Cardiac Arrest in the United States.

Background: Residential segregation has been identified as drivers of disparities in health outcomes, but further work is needed to understand this association with clinical outcomes for out-of-hospital cardiac arrest (OHCA). We utilized Cardiac Arrest Registry to Enhance Survival (CARES) dataset to examine if there are differences in survival to discharge and survival with good neurological outcome, as well as likelihood of bystander CPR, using validated measures of racial, ethnic, and economic segregation. Methods: We conducted a retrospective observational study using data from the Cardiac Arrest Registry to Enhance Survival (CARES) dataset to examine associations among adult OHCA patients. The primary predictor was the Index of Concentration at the Extremes (ICE), a validated measure that includes race, ethnicity, and income across three measures at the census tract level. The primary outcomes were survival to discharge and survival with good neurological status. A multivariable modified Poisson regression modeling approach with random effects at the EMS agency and hospital level was utilized. Results: We identified 626,264 OHCA patients during the study period. The mean age was 62 years old (SD 17.2 years), and 35.7% (n =223,839) of the patients were female. In multivariable models, we observed an increased likelihood of survival to discharge and survival with good neurological outcome for those patients residing in predominately White population census tracts and higher income census tracts as compared to lower income Black and Hispanic/Latinx population census tracts (RR 1.24, CI 1.20-1.28) and a 32% increased likelihood of receiving bystander CPR in higher income census tracts as compared to reference (RR 1.32, CI 1.30-1.34). Conclusions: In this study examining the association of measures of residential segregation and OHCA outcomes, there was an increased likelihood of survival to discharge, survival with good neurological status, and likelihood of receiving B-CPR for those patients residing in predominately White population and higher income census tracts when compared to predominately Black and/or Hispanic Latinx populations and lower income census tracts. This research suggests that areas impacted by residential and economic segregation are important targets for both public policy interventions as well as addressing disparities in care across the chain of survival for OHCA.

Joint Modeling of Social Determinants and Clinical Factors to Define Subphenotypes in Out-of-Hospital Cardiac Arrest Survival: Cluster Analysis.

Background: Machine learning clustering offers an unbiased approach to better understand the interactions of complex social and clinical variables via integrative subphenotypes, an approach not studied in out-of-hospital cardiac arrest (OHCA). Objective: We conducted a cluster analysis for a cohort of OHCA survivors to examine the association of clinical and social factors for mortality at 1 year. Methods: We used a retrospective observational OHCA cohort identified from Medicare claims data, including area-level social determinants of health (SDOH) features and hospital-level data sets. We applied k-means clustering algorithms to identify subphenotypes of beneficiaries who had survived an OHCA and examined associations of outcomes by subphenotype. Results: We identified 27,028 unique beneficiaries who survived to discharge after OHCA. We derived 4 distinct subphenotypes. Subphenotype 1 included a distribution of more urban, female, and Black beneficiaries with the least robust area-level SDOH measures and the highest 1-year mortality (2375/4417, 53.8%). Subphenotype 2 was characterized by a greater distribution of male, White beneficiaries and had the strongest zip code-level SDOH measures, with 1-year mortality at 49.9% (4577/9165). Subphenotype 3 had the highest rates of cardiac catheterization at 34.7% (1342/3866) and the greatest distribution with a driving distance to the index OHCA hospital from their primary residence >16.1 km at 85.4% (8179/9580); more were also discharged to a skilled nursing facility after index hospitalization. Subphenotype 4 had moderate median household income at US $51,659.50 (IQR US $41,295 to $67,081) and moderate to high median unemployment at 5.5% (IQR 4.2%-7.1%), with the lowest 1-year mortality (1207/3866, 31.2%). Joint modeling of these features demonstrated an increased hazard of death for subphenotypes 1 to 3 but not for subphenotype 4 when compared to reference. Conclusions: We identified 4 distinct subphenotypes with differences in outcomes by clinical and area-level SDOH features for OHCA. Further work is needed to determine if individual or other SDOH domains are specifically tied to long-term survival after OHCA.

Association of Racial Residential Segregation With Long-Term Outcomes and Readmissions After Out-of-Hospital Cardiac Arrest Among Medicare Beneficiaries.

Background The national impact of racial residential segregation on out-of-hospital cardiac arrest outcomes after initial resuscitation remains poorly understood. We sought to characterize the association between measures of racial and economic residential segregation at the ZIP code level and long-term survival and readmissions after out-of-hospital cardiac arrest among Medicare beneficiaries. Methods and Results In this retrospective cohort study, using Medicare claims data, our primary predictor was the index of concentration at the extremes, a measure of racial and economic segregation. The primary outcomes were death up to 3 years and readmissions. We estimated hazard ratios (HRs) across all 3 types of index of concentration at the extremes measures for each outcome while adjusting for beneficiary demographics, treating hospital characteristics, and index hospital procedures. In fully adjusted models for long-term survival, we found a decreased hazard of death and risk of readmission for beneficiaries residing in the more segregated White communities  and higher-income ZIP codes compared with the more segregated Black communities and lower-income ZIP codes across all 3 indices of concentration at the extremes measures (race: HR, 0.87 [95% CI, 0.81-0.93]; income: HR, 0.75 [95% CI, 0.69-0.78]; and race+income: HR, 0.77 [95% CI, 0.72-0.82]). Conclusions We found a decreased hazard of death and risk for readmission for those residing in the more segregated White communities  and higher-income ZIP codes compared with the more segregated Black communities and lower-income ZIP codes when using validated measures of racial and economic segregation. Although causal pathways and mechanisms remain unclear, disparities in outcomes after out-of-hospital cardiac arrest are associated with the structural components of race and wealth and persist up to 3 years after discharge.