Association Between Institution ZIP Code Characteristics and NIH Funding.

Introduction. While racial NIH funding disparities have been identified, little is known about the link between community demographics of institutions and NIH funding. We sought to evaluate the association between institution zip code characteristics and NIH funding. Methods. We linked the 2011-2021 NIH RePORTER database to Census data. We calculated the funding to each institution and stratified institutions into funding quartiles. We defined out independent variables as institution ZIP code level race/ethnicity (White, Black, and Hispanic), and socioeconomic status (household income, high school graduation rate, and unemployment rate). We used ordinal regression models to evaluate the association between institution ZIP code characteristics and grant funding quartile. Results. We included 731,548 grants (US$271,495,839,744) from 3,971 ZIP codes. The funding amounts in millions of U.S. dollars for the funding quartiles were fourth - 0.25, third - 1.1, second - 3.8, first - 43.5. Using ordinal regression, we found an association between increasing unemployment rate (OR = 1.03 [1.02, 1.05]), increasing high school graduation rate (OR = 3.6 [1.6, 8.4]), decreasing proportion of White people (OR = 0.4 [0.3, 0.5]), increasing proportion of Black people (OR = 1.3 [0.9, 1.8]), and increasing proportion of Hispanic/Latine people (OR = 2.5 [1.7, 3.5]) and higher grant funding quartiles. We found no association between household income and grant funding quartile. Conclusion. We found ZIP code demographics to be inadequate for evaluating NIH funding disparities, and the association between institution ZIP code demographics and investigator demographics is unclear. To evaluate and improve grant funding disparities, better grant recipient data accessibility and transparency are needed.

Factors Mediating Community Race and Ethnicity Differences in Initial Shockable Rhythm for Out-of-Hospital Cardiac Arrests in Texas.

BACKGROUND: Out-of-hospital cardiac arrest (OHCA) patients from minoritized communities have lower rates of initial shockable rhythm, which is linked to favorable outcomes. We sought to evaluate the importance of initial shockable rhythm on OHCA outcomes and factors that mediate differences in initial shockable rhythm. METHODS: We performed a retrospective study of the 2013-2022 Texas Cardiac Arrest Registry to Enhance Survival (TX-CARES). Using census tract data, we stratified OHCAs into majority race/ethnicity communities: >50% White, >50% Black, and >50% Hispanic/Latino. We compared logistic regression models between community race/ethnicity and OHCA outcome: 1) unadjusted, 2) adjusting for bystander CPR (bCPR), and 3) adjusting for initial rhythm. Using structural equation modeling, we performed mediation analyses between community race/ethnicity, OHCA characteristics, and initial shockable rhythm. RESULTS: We included 22,730 OHCAs from majority White (21.1% initial shockable rhythm), 4,749 from majority Black (15.3% shockable), and 16,054 majority Hispanic/Latino (16.1% shockable) communities. Odds of favorable neurologic outcome were lower for majority Black (0.4 [0.3-0.5]) and Hispanic/Latino (0.6 [0.6-0.7]). While adjusting for bCPR minimally changed outcome odds, adjusting for shockable rhythm increased odds for Black (0.5 [0.4-0.5]) and Hispanic/Latino (0.7 [0.6-0.8]) communities. On mediation analysis for majority Black, the top mediators of initial shockable rhythm were public location (14.6%), bystander witnessed OHCA (11.6%), and female gender (5.7%). The top mediators for majority Hispanic/Latino were bystander-witnessed OHCA (10.2%), public location (3.52%), and bystander CPR (3.49%), CONCLUSION: Bystander-witnessed OHCA and public location were the largest mediators of shockable rhythm for OHCAs from minoritized communities.

Association Between Emergency Medical Service Agency Intubation Rate and Intubation Success.

STUDY OBJECTIVE: Airway management is a crucial part of out-of-hospital care. It is not known if the rate of overall agency intubation attempts is associated with intubation success. We sought to evaluate the association between agency intubation attempt rate and intubation success using a national out-of-hospital database. METHODS: We conducted a retrospective secondary analysis of the ESO Data Collaborative from 2018 to 2019, and included all adult cases with an endotracheal intubation attempt. We calculated the number of intubations attempted per 100 responses, advanced life support responses, and transports for each agency. We excluded cases originating at health care facilities and outliers. We used multivariable logistic regression to evaluate the association between agency intubation attempt rate and 1) intubation success and 2) first-pass success. We adjusted for confounders. RESULTS: We included 1,005 agencies attempting 58,509 intubations. Overall, the intubation success rate was 78.8%, and the first-pass success rate was 68.5%. Per agency, the median rate of intubation attempts per 100 emergency medical service responses was 0.8 (interquartile range 0.6 to 1.1). Rates of intubation attempts per 100 responses (adjusted odds ratio [aOR] 1.7; 95% confidence interval [CI] 1.6 to 1.8), advanced life support responses (aOR 1.18; 95% CI 1.16 to 1.20), and transports (aOR 1.21; 95% CI 1.18 to 1.22) were all associated with intubation success. These relationships were similar for first-pass success but with smaller effect sizes. CONCLUSION: Higher agency rates of intubation attempts were associated with increased rates of intubation success and first-pass success.

National community disparities in prehospital penetrating trauma adjusted for income, 2020-2021.

INTRODUCTION: While Black individuals experienced disproportionately increased firearm violence and deaths during the COVID-19 pandemic, less is known about community level disparities. We sought to evaluate national community race and ethnicity differences in 2020 and 2021 rates of penetrating trauma. METHODS: We linked the 2018-2021 National Emergency Medical Services Information System databases to ZIP Code demographics. We stratified encounters into majority race/ethnicity communities (>50% White, Black, or Hispanic/Latino). We used logistic regression to compare penetrating trauma for each community in 2020 and 2021 to a combined 2018-2019 historical baseline. Majority Black and majority Hispanic/Latino communities were compared to majority White communities for each year. Analyses were adjusted for household income. RESULTS: We included 87,504,097 encounters (259,449 penetrating traumas). All communities had increased odds of trauma in 2020 when compared to 2018-2019, but this increase was largest for Black communities (aOR 1.4, [1.3-1.4]; White communities - aOR 1.2, [1.2-1.3]; Hispanic/Latino communities - aOR 1.1. [1.1-1.2]). There was a similar trend of increased penetrating trauma in 2021 for Black (aOR 1.2, [1.2-1.3]); White (aOR 1.2, [1.1-1.2]); Hispanic/Latino (aOR 1.1, [1.1-1.1]). Comparing penetrating trauma in each year to White communities, Black communities had higher odds of trauma in all years (2018/2019 - aOR 3.0, [3.0-3.1]; 2020 - aOR 3.3, [3.3-3.4]; 2021 - aOR 3.3, [3.2-3.2]). Hispanic/Latino also had more trauma each year but to a lesser degree (2018/2019 - aOR 2.0, [2.0-2.0]; 2020 - aOR 1.8, [1.8-1.9]; 2021 - aOR 1.9, [1.8-1.9]). CONCLUSION: Black communities were most impacted by increased penetrating trauma rates in 2020 and 2021 even after adjusting for income.

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.

Prehospital Ultrasound: Nationwide Incidence from the NEMSIS Database.

OBJECTIVE: We sought to describe prehospital ultrasound (PHUS) use and trends in PHUS utilization over time using a national database. METHODS: Using the 2018 - 2021 National Emergency Medical Services Information System databases, we identified those EMS activations where PHUS was performed. We evaluated the association between year and number of PHUS exams performed using univariable and multivariable regression analysis. Analysis was performed on the overall group and various subgroups. RESULTS: In total, there were 148,709,000 EMS activations by 13,899 agencies over the 4 years. Of these, 3,291 unique activations (0.002%) involved PHUS, performed by 71 EMS agencies (0.5%). The annual rate of ultrasound evaluations per 1 million EMS activations significantly increased over the study period: 5.2 in 2018, 14.8 in 2019, 18.6 in 2020, and 38.9 in 2021 (p < 0.01). The number of agencies performing PHUS each year increased over the study period from 11 in 2018 to 54 in 2021 (p < 0.05). Each year after 2018 had an increased odds of PHUS use demonstrated with logistic regression (p < 0.01). PHUS was used in each US census region, and paramedics performed most of the PHUS exams (75.5%). We identified 1,060 out-of-hospital cardiac arrest, 820 trauma, and 427 respiratory PHUS cases. These three cohorts accounted for 70.1% of all PHUS cases. CONCLUSION: Prehospital ultrasound use in the United States increased significantly over the study period, but remains exceedingly rare. The performance of PHUS was recorded throughout the United States, with paramedics performing the majority of PHUS studies included in this database.

Blood Markers in Relation to a History of Traumatic Brain Injury Across Stages of Cognitive Impairment in a Diverse Cohort.

BACKGROUND: Traumatic brain injury (TBI) has been linked to multiple pathophysiological processes that could increase risk for Alzheimer's disease and related dementias (ADRD). However, the impact of prior TBI on blood biomarkers for ADRD remains unknown. OBJECTIVE: Using cross-sectional data, we assessed whether a history of TBI influences serum biomarkers in a diverse cohort (approximately 50% Hispanic) with normal cognition, mild cognitive impairment, or dementia. METHODS: Levels of glial fibrillary acidic protein (GFAP), neurofilament light (NFL), total tau (T-tau), and ubiquitin carboxy-terminal hydrolase-L1 (UCHL1) were measured for participants across the cognitive spectrum. Participants were categorized based on presence and absence of a history of TBI with loss of consciousness, and study samples were derived through case-control matching. Multivariable general linear models compared concentrations of biomarkers in relation to a history of TBI and smoothing splines modelled biomarkers non-linearly in the cognitively impaired groups as a function of time since symptom onset. RESULTS: Each biomarker was higher across stages of cognitive impairment, characterized by clinical diagnosis and Mini-Mental State Examination performance, but these associations were not influenced by a history of TBI. However, modelling biomarkers in relation to duration of cognitive symptoms for ADRD showed differences by history of TBI, with only GFAP and UCHL1 being elevated. CONCLUSIONS: Serum GFAP, NFL, T-tau, and UCHL1 were higher across stages of cognitive impairment in this diverse clinical cohort, regardless of TBI history, though longitudinal investigation of the timing, order, and trajectory of the biomarkers in relation to prior TBI is warranted.

Impact of Receiving Hospital on Out-of-Hospital Cardiac Arrest Outcome: Racial and Ethnic Disparities in Texas.

Background Factors associated with out-of-hospital cardiac arrest (OHCA) outcome disparities remain poorly understood. We evaluated the role of receiving hospital on OHCA outcome disparities. Methods and Results We studied people with OHCA who survived to hospital admission from TX-CARES (Texas Cardiac Arrest Registry to Enhance Survival), 2014 to 2021. Using census data, we stratified OHCAs into majority (>50%) strata: non-Hispanic White race and ethnicity, non-Hispanic Black race and ethnicity, and Hispanic or Latino ethnicity. We stratified hospitals into performance quartiles based on the primary outcome, survival with good neurologic outcome. We evaluated the association between race and ethnicity and care at higher-performance hospitals. We compared 3 models evaluating the association between race and ethnicity and outcome: (1) ignoring hospital, (2) adjusting for hospital as a random intercept, and (3) adjusting for hospital performance quartile. We adjusted models for possible confounders. We included 10 434 OHCAs. Hospital performance quartile outcome rates ranged from 11.3% (fourth) to 37.1% (first). Compared with OHCAs in neighborhoods of majority White race, those in neighborhoods of majority Black race (odds ratio [OR], 0.1 [95% CI, 0.1-0.1]) and Hispanic or Latino ethnicity (OR, 0.2 [95% CI, 0.2-0.2]) were less likely to be cared for at higher-performing hospitals. Compared with White neighborhoods (30.1%) and ignoring hospital, outcomes were worse in Black neighborhoods (15.4%; adjusted OR [aOR], 0.5 [95% CI, 0.4-0.5]) and Hispanic or Latino neighborhoods (19.2%; aOR, 0.6 [95% CI, 0.5-0.7]). Adjusting for hospital as a random intercept, outcomes improved for Black neighborhoods (aOR, 0.9 [95% CI, 0.7-1.05]) and Hispanic or Latino neighborhoods (aOR, 0.9 [95% CI, 0.8-0.99]). Adjusting for hospital performance quartile, outcomes improved for Black neighborhoods (aOR, 0.8 [95% CI, 0.7-1.01]) and Hispanic or Latino neighborhoods (aOR, 0.9 [95% CI, 0.8-0.996]). Conclusions In Black and Hispanic or Latino communities, OHCAs were less likely to be cared for at higher-performing hospitals, and adjusting for receiving hospital improved OHCA outcome disparities.

Agency factors associated with first response systems that improve out-of-hospital cardiac arrest outcomes.

BACKGROUND: Data are conflicting regarding the association between first responder (FR) intervention and improved outcomes after out-of-hospital cardiac arrest (OHCA). We evaluated characteristics of agencies that have positive associations between FR interventions and outcomes. METHODS: We analyzed the 2016-2021 national Cardiac Arrest Registry to Enhance Survival (CARES). We defined the exposures as FR CPR and AED. The outcome was survival with favorable neurologic status. We used logistic regression models to evaluate the association between FR interventions with OHCA outcome for each agency, stratifying agencies into positive association (95% confidence interval above 1) and no/inverse association (95% confidence below or including 1). We compared characteristics between cohorts. RESULTS: For the association between FR CPR and outcomes, 21 agencies caring for 42,856 OHCAs had a positive association; 371 agencies caring for 449,824 OHCAs had no association. For FR AED, 47 agencies caring for 103,120 OHCAs had a positive association; 262 agencies caring for 327,761 OHCAs had no association. Comparing agency characteristics for FR CPR, agencies with a positive association had more annual OHCAs (+300), lower FR CPR rate (-11.3%), and lower FR AED rate (-10.8%). Comparing FR AED, agencies with a positive association had more OHCAs per year (+150.5), lower FR CPR rate (-6.8%), lower FR AED rate (-13.3%), lower response time (-0.6 minutes), and more OHCAs from high-income neighborhoods (+3.7%). CONCLUSION: FR AED more commonly had a positive association with outcomes than FR CPR. Agencies with better outcomes from FR interventions treated more OHCAs and had lower rates of FR intervention.

National trends in prehospital penetrating trauma in 2020 and 2021.

OBJECTIVE: Prior studies identified increased penetrating trauma rates during the earlier phase of the COVID-19 pandemic, but there is limited study of penetrating trauma rates in 2021 or at a national level. We evaluated trends in prehospital encounters for penetrating trauma in 2020 and 2021 using a national database. METHODS: We conducted a retrospective analysis of the National Emergency Medicinal Services (EMS) Information System (NEMSIS) combined 2018-2021 databases of prehospital encounters. We calculated penetrating trauma yearly and monthly rates with 95% confidence; both overall and for each census region. We compared trauma rates in 2020 and 2021 to combined 2018/2019. RESULTS: There were 67,457 (rate of 0.30%) penetrating traumas in 2018, 86,054 (0.30%) in 2019, 95,750 (0.37%) in 2020, and 98,040 (0.34%) in 2021. Nationally, trauma rates were higher from March 2020 to July 2021 than baseline. Penetrating trauma rates from May-December 2021 were lower than May-December of 2020. All census regions similarly had increased trauma rates during from March 2020 to July 2021. CONCLUSION: We identified elevated rates of trauma on 2020 that lasted until July of 2021 that was present in all US census regions.

Prevalence of Symptoms ≤12 Months After Acute Illness, by COVID-19 Testing Status Among Adults - United States, December 2020-March 2023.

To further the understanding of post-COVID conditions, and provide a more nuanced description of symptom progression, resolution, emergence, and reemergence after SARS-CoV-2 infection or COVID-like illness, analysts examined data from the Innovative Support for Patients with SARS-CoV-2 Infections Registry (INSPIRE), a prospective multicenter cohort study. This report includes analysis of data on self-reported symptoms collected from 1,296 adults with COVID-like illness who were tested for SARS-CoV-2 using a Food and Drug Administration-approved polymerase chain reaction or antigen test at the time of enrollment and reported symptoms at 3-month intervals for 12 months. Prevalence of any symptom decreased substantially between baseline and the 3-month follow-up, from 98.4% to 48.2% for persons who received a positive SARS-CoV-2 test results (COVID test-positive participants) and from 88.2% to 36.6% for persons who received negative SARS-CoV-2 test results (COVID test-negative participants). Persistent symptoms decreased through 12 months; no difference between the groups was observed at 12 months (prevalence among COVID test-positive and COVID test-negative participants = 18.3% and 16.1%, respectively; p>0.05). Both groups reported symptoms that emerged or reemerged at 6, 9, and 12 months. Thus, these symptoms are not unique to COVID-19 or to post-COVID conditions. Awareness that symptoms might persist for up to 12 months, and that many symptoms might emerge or reemerge in the year after COVID-like illness, can assist health care providers in understanding the clinical signs and symptoms associated with post-COVID-like conditions.

Association Between SARS-CoV-2 Variants and Frequency of Acute Symptoms: Analysis of a Multi-institutional Prospective Cohort Study-December 20, 2020-June 20, 2022.

Background: While prior work examining severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern focused on hospitalization and death, less is known about differences in clinical presentation. We compared the prevalence of acute symptoms across pre-Delta, Delta, and Omicron. Methods: We conducted an analysis of the Innovative Support for Patients with SARS-CoV-2 Infections Registry (INSPIRE), a cohort study enrolling symptomatic SARS-CoV-2-positive participants. We determined the association between the pre-Delta, Delta, and Omicron time periods and the prevalence of 21 coronavirus disease 2019 (COVID-19) acute symptoms. Results: We enrolled 4113 participants from December 2020 to June 2022. Pre-Delta vs Delta vs Omicron participants had increasing sore throat (40.9%, 54.6%, 70.6%; P < .001), cough (50.9%, 63.3%, 66.7%; P < .001), and runny noses (48.9%, 71.3%, 72.9%; P < .001). We observed reductions during Omicron in chest pain (31.1%, 24.2%, 20.9%; P < .001), shortness of breath (42.7%, 29.5%, 27.5%; P < .001), loss of taste (47.1%, 61.8%, 19.2%; P < .001), and loss of smell (47.5%, 55.6%, 20.0%; P < .001). After adjustment, those infected during Omicron had significantly higher odds of sore throat vs pre-Delta (odds ratio [OR], 2.76; 95% CI, 2.26-3.35) and Delta (OR, 1.96; 95% CI, 1.69-2.28). Conclusions: Participants infected during Omicron were more likely to report symptoms of common respiratory viruses, such as sore throat, and less likely to report loss of smell and taste. Trial registration: NCT04610515.

Long COVID Clinical Phenotypes up to 6 Months After Infection Identified by Latent Class Analysis of Self-Reported Symptoms.

Background: The prevalence, incidence, and interrelationships of persistent symptoms after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection vary. There are limited data on specific phenotypes of persistent symptoms. Using latent class analysis (LCA) modeling, we sought to identify whether specific phenotypes of COVID-19 were present 3 months and 6 months post-infection. Methods: This was a multicenter study of symptomatic adults tested for SARS-CoV-2 with prospectively collected data on general symptoms and fatigue-related symptoms up to 6 months postdiagnosis. Using LCA, we identified symptomatically homogenous groups among COVID-positive and COVID-negative participants at each time period for both general and fatigue-related symptoms. Results: Among 5963 baseline participants (4504 COVID-positive and 1459 COVID-negative), 4056 had 3-month and 2856 had 6-month data at the time of analysis. We identified 4 distinct phenotypes of post-COVID conditions (PCCs) at 3 and 6 months for both general and fatigue-related symptoms; minimal-symptom groups represented 70% of participants at 3 and 6 months. When compared with the COVID-negative cohort, COVID-positive participants had higher occurrence of loss of taste/smell and cognition problems. There was substantial class-switching over time; those in 1 symptom class at 3 months were equally likely to remain or enter a new phenotype at 6 months. Conclusions: We identified distinct classes of PCC phenotypes for general and fatigue-related symptoms. Most participants had minimal or no symptoms at 3 and 6 months of follow-up. Significant proportions of participants changed symptom groups over time, suggesting that symptoms present during the acute illness may differ from prolonged symptoms and that PCCs may have a more dynamic nature than previously recognized. Clinical Trials Registration. NCT04610515.

Association of Ketamine Dosing with Intubation and Other Adverse Events in Patients with Behavioral Emergencies.

OBJECTIVE: Varying rates of complications have been reported for prehospital sedation with ketamine, and the relationship to dosing has not been studied on a large scale. We evaluated the association between prehospital ketamine dosing and rates of intubations and other adverse events in patients with behavioral emergencies. METHODS: Using the 2018/2019 ESO public-use research datasets, we included all non-traumatic, adult behavioral and drug-related EMS encounters with ketamine administration. Based on consensus guidelines, we stratified patients into "above" and "at/below" the maximum dosing for sedation (2 mg/kg IV/IO or 5 mg/kg IM) using the highest single dose of ketamine given. We created propensity scores for matched subjects using 1:1 propensity score matching. Using logistic regression, we compared rates of intubation and other airway interventions, antipsychotic coadministration, improvement reported by EMS, hypoxia, hypotension, and cardiac arrest between the two groups. RESULTS: We included 2383 patients: 478 in the above and 1905 in the at/below dose group. Above-dose ketamine was associated with a higher rate of intubation or supraglottic airway placement (6.4% v 3.3%, OR 2.0, 95% CI 1.00-3.90). Other airway interventions were similar (40.0% v 40.0%, OR 1, 95% CI 0.80-1.30). The above-dose group also showed a higher rate of improvement noted by EMS clinicians (92.5% v 88.7%, OR 1.6, 95% CI 1.01-2.40). The rates of antipsychotic coadministration, hypoxia, hypotension, and cardiac arrest were similar between the cohorts. CONCLUSIONS: Patients given ketamine doses above consensus recommendations for sedation appeared more likely to receive prehospital intubation but not more likely to experience other adverse events.

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.

Emergency Department Virtual Happy Hour: A Novel Approach to Peer Group Support During a Pandemic.

Introduction Communities responded to the coronavirus disease 2019 (COVID-19) pandemic with mandatory social-distancing regulations. Pandemic and disaster research shows that social isolation can often cause negative emotions and medical provider burnout. The primary objective of this study was to create and evaluate a novel wellness program, the Happy Hour Wellness Initiative (HHWI), based on peer support group concepts to foster resilience for emergency healthcare providers in response to a novel disaster. Methods The study was performed at a large emergency department with physicians, advanced practice providers, and staff invited to attend weekly "virtual happy hour" sessions. Participants individually opted into each of the six weekly sessions, with no obligation to attend. The program was designed based on the tenets of a peer support group and implemented by video conferencing. Participants completed a demographic questionnaire and answered open-ended questions after the six-session HHWI ended. Results Of the 40 survey respondents, 30% reported feeling stressed and 40% felt isolated at the early declaration of the pandemic. Regarding the HHWI, 90% of participants had no expectations from the HHWI, but 90% reported that their favorite part of the initiative was the feeling of togetherness. Most participants (95%) requested a continuation of the HHWI, even if not by a video-conferencing platform, and 90% reported feeling sad after the HHWI ended. Conclusion The emergency department HHWI was a welcome opportunity for employees to combat stress and anxiety brought on by the COVID-19 pandemic and social distancing. The initiative fostered team building, comradery, group advocacy, stress relief, and cheerfulness. The initiative was so greatly welcomed as a tool for wellness that almost all participants recommended that the HHWI should be available, not just in times of hardship, but year-round. The HHWI has provided a new approach to promote wellness in emergency care providers using a peer support group.

Severe Fatigue and Persistent Symptoms at 3 Months Following Severe Acute Respiratory Syndrome Coronavirus 2 Infections During the Pre-Delta, Delta, and Omicron Time Periods: A Multicenter Prospective Cohort Study.

BACKGROUND: Most research on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants focuses on initial symptomatology with limited longer-term data. We characterized prevalences of prolonged symptoms 3 months post-SARS-CoV-2 infection across 3 variant time-periods (pre-Delta, Delta, and Omicron). METHODS: This multicenter prospective cohort study of adults with acute illness tested for SARS-CoV-2 compared fatigue severity, fatigue symptoms, organ system-based symptoms, and ≥3 symptoms across variants among participants with a positive ("COVID-positive") or negative SARS-CoV-2 test ("COVID-negative") at 3 months after SARS-CoV-2 testing. Variant periods were defined by dates with ≥50% dominant strain. We performed multivariable logistic regression modeling to estimate independent effects of variants adjusting for sociodemographics, baseline health, and vaccine status. RESULTS: The study included 2402 COVID-positive and 821 COVID-negative participants. Among COVID-positives, 463 (19.3%) were pre-Delta, 1198 (49.9%) Delta, and 741 (30.8%) Omicron. The pre-Delta COVID-positive cohort exhibited more prolonged severe fatigue (16.7% vs 11.5% vs 12.3%; P = .017) and presence of ≥3 prolonged symptoms (28.4% vs 21.7% vs 16.0%; P < .001) compared with the Delta and Omicron cohorts. No differences were seen in the COVID-negatives across time-periods. In multivariable models adjusted for vaccination, severe fatigue and odds of having ≥3 symptoms were no longer significant across variants. CONCLUSIONS: Prolonged symptoms following SARS-CoV-2 infection were more common among participants infected during pre-Delta than with Delta and Omicron; however, these differences were no longer significant after adjusting for vaccination status, suggesting a beneficial effect of vaccination on risk of long-term symptoms. Clinical Trials Registration. NCT04610515.