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A 4-year-old child was transferred to the paediatric intensive care unit with acute respiratory failure following 4 days of fever, nausea and vomiting. Chest X-ray on admission had an enlarged cardiac silhouette and transthoracic echo confirmed a large pericardial effusion. An emergent pericardiocentesis was performed at bedside which drained nearly 1000 mL of purulent fluid. Postdrainage course was complicated by acute systolic and diastolic heart failure, thrombocytopenia and acute renal failure. A chest CT and MRI were concerning for a diffuse mediastinal soft-tissue density, so the patient underwent interventional radiology-guided biopsy complicated by haemorrhage requiring mediastinal exploration and subtotal thymectomy. Histopathology revealed changes consistent with kaposiform lymphangiomatosis and MRI demonstrated involvement of the lumbar spine and right hip. Following a course of intravenous antibiotics, the patient was started on sirolimus and prednisolone and ultimately discharged home.

Our objectives were to describe time intervals of EMS encounters for suspected stroke patients in North Carolina (NC) and evaluate differences in EMS time intervals by community socioeconomic status (SES) and rurality.This cross-sectional study used statewide data on EMS encounters of suspected stroke in NC in 2019. Eligible patients were adults requiring EMS transport to a hospital following a 9-1-1 call for stroke-like symptoms. Incident street addresses were geocoded to census tracts and linked to American Community Survey SES data and to rural-urban commuting area (RUCA) codes. Community SES was defined as high, medium, or low based on tertiles of an SES index. Urban, suburban, and rural tracts were defined by RUCA codes 1, 2-6, and 7-10, respectively. Multivariable quantile regression was used to estimate how the median and 90th percentile of EMS time intervals varied by community SES and rurality, adjusting for each other; patient age, gender, and race/ethnicity; and incident characteristics.We identified 17,117 eligible EMS encounters of suspected stroke from 2028 census tracts. The population was 65% 65+ years old; 55% female; and 69% Non-Hispanic White. Median response, scene, and transport times were 8 (interquartile range, IQR 6-11) min, 16 (IQR 12-20) min, and 14 (IQR 9-22) minutes, respectively. In quantile regression adjusted for patient demographics, minimal differences were observed for median response and scene times by community SES and rurality. The largest median differences were observed for transport times in rural (6.7 min, 95% CI 5.8, 7.6) and suburban (4.7 min, 95% CI 4.2, 5.1) tracts compared to urban tracts. Adjusted rural-urban differences in 90th percentile transport times were substantially greater (16.0 min, 95% CI 14.5, 17.5). Low SES was modesty associated with shorter median (-3.3 min, 95% CI -3.8, -2.9) and 90th percentile (-3.0 min, 95% CI -4.0, -2.0) transport times compared to high SES tracts.While community-level factors were not strongly associated with EMS response and scene times for stroke, transport times were significantly longer rural tracts and modestly shorter in low SES tracts, accounting for patient demographics. Further research is needed on the role of community socioeconomic deprivation and rurality in contributing to delays in prehospital stroke care.

We identify patient demographic and emergency department (ED) characteristics associated with rooming prioritization decisions among ED patients who are assigned the same triage acuity score.We performed a retrospective analysis of adult ED patients with similar triage acuity, as defined as an Emergency Severity Index (ESI) of 3, at a large academic medical center, during 2019. Violations of a first-come-first-served (FCFS) policy for rooming are identified and used to create weighted multiple logistic regression models and 1:M matched case-control conditional logistic regression models to determine how rooming prioritization is affected by individual patient age, sex, race, and ethnicity after adjusting for patient clinical and time-varying ED operational characteristics.A total of 15,781 ED encounters were analyzed, with 1612 (10.2%) ED encounters having a rooming prioritization in violation of a FCFS policy. Patient age and race were found to be significantly associated with being prioritized in violation of FCFS in both logistic regression models. The 1:M matched model showed a statistically significant relationship between violation of rooming prioritization with increasing age in years (adjusted odds ratio [aOR] 1.009, 95% confidence interval [CI] 1.005-1.013) and among African American patients compared to Caucasians (aOR 0.636, 95% CI 0.545-0.743).Among ED patients with a similar triage acuity (ESI 3), we identified patient age and patient race as characteristics that were associated with deviation from a FCFS prioritization in ED rooming decisions. These findings suggest that there may be patient demographic disparities in ED rooming decisions after adjusting for clinical and ED operational characteristics.

Purpose: CMR derived left ventricular longitudinal and circumferential strain is known to be abnormal in myocarditis. CMR strain is an useful additional tool that can identify subclinical myocardial involvement and may help with longitudinal follow-up. Right ventricular strain derived by CMR in children has not been studied. We sought to evaluate CMR derived biventricular strain in children with acute myocarditis. Methods: Children with acute myocarditis who underwent CMR 2016 - 2022 at our center were reviewed, this group included subjects with COVID-19 myocarditis. Children with no evidence of myocarditis served as controls Those with congenital heart disease and technically limited images for CMR strain analysis were excluded from final analysis. Biventricular longitudinal, circumferential, and radial peak systolic strains were derived using Circle cvi42. Data between cases and controls were compared using an independent sample t-test. One-way ANOVA with post hoc analysis was used to compare COVID-19, non-COVID myocarditis and controls. Results: 38 myocarditis and 14 controls met inclusion criteria (14.4 ± 3 years). All CMR derived peak strain values except for RV longitudinal strain were abnormal in myocarditis group. One-way ANOVA revealed that there was a statistically significant difference with abnormal RV and LV strain in COVID-19 myocarditis when compared to non-COVID-19 myocarditis and controls. Conclusion: CMR derived right and left ventricular peak systolic strain using traditionally acquired cine images were abnormal in children with acute myocarditis. All strain measurements were significantly abnormal in children with COVID-19 even when compared to non COVID myocarditis.

Larry Culpepper,1 Eduard Vieta,2 Deanna L Kelly,3 Mehul D Patel,4 Balázs Szatmári,5 Arlene Hankinson,4 Willie R Earley4 1Boston University School of Medicine, Boston, MA, USA; 2Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; 3Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, USA; 4AbbVie, Madison, NJ, USA; 5Gedeon Richter Plc., Budapest, HungaryCorrespondence: Larry Culpepper, Boston University School of Medicine, 90 Sylvia Lane, Westport, MA, 02790-1406, USA, Tel +1 617 414-6225, Email laculpep@bu.eduBackground: Many medications used to treat schizophrenia and bipolar I disorder are linked to hyperprolactinemia. The effects of cariprazine, a dopamine D3/D2 receptor partial agonist, on prolactin levels in patients with schizophrenia or bipolar I disorder were evaluated.Methods: Effects on prolactin were evaluated using pooled data from randomized, double-blind, placebo-controlled studies in patients with schizophrenia (4 studies; 6-week duration; cariprazine 1.5– 3 mg/d, 4.5– 6 mg/d, and 9– 12 mg/d), bipolar mania (3 studies; 3-week duration; cariprazine 3– 6 and 9– 12 mg/d), and bipolar depression (3 studies; 6- to 8-week duration; cariprazine 1.5 and 3 mg/d). Long-term effects were analyzed using open-label studies in patients with schizophrenia (2 studies; 48-week duration) and patients with bipolar mania (1 study; 16-week duration). Change in prolactin levels (ng/mL) from baseline to study endpoint was evaluated in subsets of sex and prior medication use.Results: In patients with schizophrenia (male, n = 1377; female, n = 558), median prolactin changes were − 1.2 for males and − 7.4 for females on placebo, and ranged from − 4.2 to − 3.6 for males and − 12.4 to +0.2 for females in the cariprazine-treatment groups. In patients with bipolar mania (male, n = 570; female, n = 395), median prolactin changes were − 0.2 for males and − 1.1 for females on placebo and ranged from − 2.1 to − 3.0 for males and 0 to +1.8 for females in the cariprazine-treatment groups. Median decreases were also seen in the long-term studies of schizophrenia (range, − 14.6 to − 2.0) and bipolar mania (range, − 0.8 to +1.9). In patients with bipolar depression (male, n = 485; female, n = 780), median prolactin changes were +0.3 for males and +0.7 for females on placebo and ranged from +0.4 to +0.5 for males and +3.0 to +3.1 for females in the cariprazine-treatment groups.Conclusion: Treatment with cariprazine for schizophrenia or bipolar I disorder was associated with minimal effects on prolactin levels.Keywords: dopamine, serotonin, mania, depression, prolactin

Objective To investigate the effect of cariprazine on cognitive symptom change across bipolar I disorder and schizophrenia. Methods Post hoc analyses of 3- to 8-week pivotal studies in bipolar I depression and mania were conducted; one schizophrenia trial including the Cognitive Drug Research System attention battery was also analyzed. Outcomes of interest: Montgomery-Åsberg Depression Rating Scale [MADRS], Functioning Assessment Short Test [FAST], Positive and Negative Syndrome Scale [PANSS]). LSMDs in change from baseline to end of study were reported in the overall intent-to-treat population and in patient subsets with specified levels of baseline cognitive symptoms or performance. Results In patients with bipolar depression and at least mild cognitive symptoms, LSMDs were statistically significant for cariprazine vs placebo on MADRS item 6 (3 studies; 1.5 mg=−0.5 [PPP=.0039). In patients with bipolar mania and at least mild cognitive symptoms, the LSMD in PANSS Cognitive subscale score was statistically significant for cariprazine vs placebo (3 studies; −2.1; P=.001). In patients with schizophrenia and high cognitive impairment, improvement in power of attention was observed for cariprazine 3 mg/d vs placebo (P=.0080), but not for cariprazine 6 mg/d; improvement in continuity of attention was observed for cariprazine 3 mg/d (P=.0012) and 6 mg/d (P=.0073). Conclusion These post hoc analyses provide preliminary evidence of greater improvements for cariprazine vs placebo across cognitive measures in patients with bipolar I depression and mania, and schizophrenia, suggesting potential benefits for cariprazine in treating cognitive symptoms.

Despite EMS-implemented screening and treatment protocols for suspected sepsis patients, prehospital fluid therapy is variable. We sought to describe prehospital fluid administration in suspected sepsis patients, including demographic and clinical factors associated with fluid outcomes. A retrospective cohort of adult patients from a large, county-wide EMS system from January 2018-February 2020 was identified. Patient care reports for suspected sepsis were included, as identified by EMS clinician impression of sepsis, or keywords “sepsis” or “septic” in the narrative. Outcomes were the proportions of suspected sepsis patients for whom intravenous (IV) therapy was attempted and those who received ≥500 mL IV fluid if IV access was successful. Associations between patient demographics and clinical factors with fluid outcomes were estimated with multivariable logistic regression adjusting for transport interval. Of 4,082 suspected sepsis patients identified, the mean patient age was 72.5 (SD 16.2) years, 50.6% were female, and 23.8% were Black. Median (interquartile range [IQR]) transport interval was 16.5 (10.9–23.2) minutes. Of identified patients, 1,920 (47.0%) had IV fluid therapy attempted, and IV access was successful in 1,872 (45.9%). Of those with IV access, 1,061 (56.7%) received ≥500mL of fluid from EMS. In adjusted analyses, female (versus male) sex (odds ratio [OR] 0.79, 95% confidence interval [CI] 0.69–0.90), Black (versus White) race (OR 0.57, 95% CI 0.49–0.68), and end stage renal disease (OR 0.51, 95% CI 0.32–0.82) were negatively associated with attempted IV therapy. Systolic blood pressure (SBP) 20 (OR 1.90, 95% CI 1.61–2.23) were positively associated with attempted IV therapy. Female sex (OR 0.72, 95% CI 0.59–0.88) and congestive heart failure (CHF) (OR 0.55, 95% CI 0.40–0.75) were negatively associated with receiving goal fluid volume while SBP 100.4 F or

Introduction Violence is a major cause of death worldwide among youth. The highest mortality rates from youth violence occur in low and middle-income countries (LMICs). We sought to identify risk factors for violent re-injury and emergency centre (EC) recidivism among assault-injured youth in South Africa. Methods A prospective follow up study of assault injured youth and controls ages 14–24 presenting for emergency care was conducted in Khayelitsha, South Africa from 2016 to 2018. Sociodemographic and behavioral factors were assessed using a questionnaire administered during the index EC visit. The primary outcomes were return EC visit for violent injury or death within 15 months. We used multivariable logistic regression to compute adjusted odds ratios (OR) and 95% confidence intervals (CI) of associations between return EC visits and key demographic, social, and behavioral factors among assault-injured youth. Results Our study sample included 320 assault-injured patients and 185 non-assault-injured controls. Of the assault-injured, 80% were male, and the mean age was 20.8 years. The assault-injured youth was more likely to have a return EC visit for violent injury (14%) compared to the control group (3%). The non-assault-injured group had a higher mortality rate (7% vs 3%). All deaths in the control group were due to end-stage HIV or TB-related complications. The strongest risk factors for return EC visit were prior criminal activity (OR = 2.3, 95% CI = 1.1–5.1), and current enrollment in school (OR = 2.1, 95% CI = 1.0–4.6). Although the assault-injured group reported high rates of binge drinking (73%) at the index visit, this was not found to be a risk factor for violence-related EC recidivism. Discussion Our findings suggest that assault-injured youth in an LMIC setting are at high risk of EC recidivism and several sociodemographic and behavioral factors are associated with increased risk. These findings can inform targeted intervention programs.

There are conflicting data on how delivery location impacts outcomes in neonates with ductal-dependent heart disease. Our goal was to evaluate the impact of delivery location on hospital length of stay and survival in infants with prenatally diagnosed hypoplastic left heart syndrome (HLHS) after stage 1 palliation (S1P). A multicenter cohort study was performed utilizing the National Pediatric Cardiology Quality Improvement Collaborative dataset for infants with prenatally diagnosed HLHS who underwent S1P from August 2016 to December 2018. Univariate comparisons of demographics, clinical, and outcome data were made and multivariable logistic regression was performed between groups stratified by distance from surgical center. A total of 790 patients from 33 centers were analyzed: 85% were born

Background: Low-dose multidetector computed tomographic angiography (MDCTA) is playing an increasingly larger role in the diagnosis of anomalous pulmonary venous return (APVR). Despite advances in new computed tomographic (CT) techniques with radiation dose reduction, there are limited studies describing radiation dose parameters to allow routine use of cardiac CT in infants and children with APVR. This study compares cardiac CT findings with intraoperative findings and describes comprehensive radiation exposure parameters. Methods: A retrospective analysis of 27 patients compared MDCTA and intraoperative or cardiac catheterization findings of the pulmonary venous anatomy. Results: A total of 32 MDCTA studies were performed on these 27 patients. Of the 28 studies with subsequent intervention, MDCTA accurately diagnosed the anomalous pulmonary venous anatomy in 27 (96.4%) patients. Narrowing of the pulmonary venous confluence entrance to the coronary sinus was missed on cardiac CT in one patient due to motion artifact, but it was noted intraoperatively. Median estimated effective radiation dose was 0.98 mSv (range: 0.39-3.2 mSv), and mean estimated effective radiation dose was 1.1 ± 0.68 mSv. Median total dose length product (DLP) was 25 mGy cm (range: 10-83 mGy cm), and mean total DLP was 28 ± 18 mGy cm. Median CTDI volume was 3.8 mGy (range: 2.5-14.6 mGy), and mean CTDI volume was 5.0 ± 3.2 mGy. Conclusions: We conclude that modern cardiac MDCTA is the best imaging modality to guide management in both preintervention and postintervention APVR patients. In this study, we describe comprehensive radiation exposure parameters in infants and children with APVR.

ObjectiveTo determine the effect of a user centered clinical decision support tool versus usual care on rates of initiation of buprenorphine in the routine emergency care of individuals with opioid use disorder.DesignPragmatic cluster randomized controlled trial (EMBED).Setting18 emergency department clusters across five healthcare systems in five states representing the north east, south east, and western regions of the US, ranging from community hospitals to tertiary care centers, using either the Epic or Cerner electronic health record platform.Participants599 attending emergency physicians caring for 5047 adult patients presenting with opioid use disorder.InterventionA user centered, physician facing clinical decision support system seamlessly integrated into user workflows in the electronic health record to support initiating buprenorphine in the emergency department by helping clinicians to diagnose opioid use disorder, assess the severity of withdrawal, motivate patients to accept treatment, and complete electronic health record tasks by automating clinical and after visit documentation, order entry, prescribing, and referral.Main outcome measuresRate of initiation of buprenorphine (administration or prescription of buprenorphine) in the emergency department among patients with opioid use disorder. Secondary implementation outcomes were measured with the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework.Results1 413 693 visits to the emergency department (775 873 in the intervention arm and 637 820 in the usual care arm) from November 2019 to May 2021 were assessed for eligibility, resulting in 5047 patients with opioid use disorder (2787 intervention arm, 2260 usual care arm) under the care of 599 attending physicians (340 intervention arm, 259 usual care arm) for analysis. Buprenorphine was initiated in 347 (12.5%) patients in the intervention arm and in 271 (12.0%) patients in the usual care arm (adjusted generalized estimating equations odds ratio 1.22, 95% confidence interval 0.61 to 2.43, P=0.58). Buprenorphine was initiated at least once by 151 (44.4%) physicians in the intervention arm and by 88 (34.0%) in the usual care arm (1.83, 1.16 to 2.89, P=0.01).ConclusionsUser centered clinical decision support did not increase patient level rates of initiating buprenorphine in the emergency department. Although streamlining and automating electronic health record workflows can potentially increase adoption of complex, unfamiliar evidence based practices, more interventions are needed to look at other barriers to the treatment of addiction and increase the rate of initiating buprenorphine in the emergency department in patients with opioid use disorder.Trial registrationClinicalTrials.govNCT03658642.

To evaluate the joint impact of childhood vaccination rates and school masking policies on community transmission and severe outcomes due to COVID-19, we utilized a stochastic, agent-based simulation of North Carolina to test 24 health policy scenarios. In these scenarios, we varied the childhood (ages 5 to 19) vaccination rate relative to the adult's (ages 20 to 64) vaccination rate and the masking relaxation policies in schools. We measured the overall incidence of disease, COVID-19-related hospitalization, and mortality from 2021 July 1 to 2023 July 1. Our simulation estimates that removing all masks in schools in January 2022 could lead to a 31% to 45%, 23% to 35%, and 13% to 19% increase in cumulative infections for ages 5 to 9, 10 to 19, and the total population, respectively, depending on the childhood vaccination rate. Additionally, achieving a childhood vaccine uptake rate of 50% of adults could lead to a 31% to 39% reduction in peak hospitalizations overall masking scenarios compared with not vaccinating this group. Finally, our simulation estimates that increasing vaccination uptake for the entire eligible population can reduce peak hospitalizations in 2022 by an average of 83% and 87% across all masking scenarios compared to the scenarios where no children are vaccinated. Our simulation suggests that high vaccination uptake among both children and adults is necessary to mitigate the increase in infections from mask removal in schools and workplaces.

ContextThe COVID-19 pandemic response has demonstrated the interconnectedness of individuals, organizations, and other entities jointly contributing to the production of community health. This response has involved stakeholders from numerous sectors who have been faced with new decisions, objectives, and constraints.ObjectiveWe aimed to examine the cross-sector organizational decision landscape that formed in response to the COVID-19 pandemic.DesignWe applied a systems approach to the qualitative analysis of semi-structured interviews on the cross-sector, organizational response to the COVID-19 pandemic. We analyzed transcribed interviews using conventional content analysis to synthesize key themes.SettingSemi-structured interviews were conducted via secure, video-conferencing platform between October 2020 and January 2021.ParticipantsForty-four state and local decision-makers representing organizations from nine sectors in North Carolina participated.Main Outcome MeasuresWe defined the decision landscape as including decision-maker roles, key decisions, and inter-relationships involved in producing community health.ResultsDecision-maker roles were characterized by underlying tensions between balancing organizational mission with employee/community health and navigating organizational versus individual responsibility for reducing transmission. Key Decisions fell into several broad categories, including how to translate public health guidance into practice; when to institute, and subsequently loosen, public health restrictions; and how to address downstream social and economic impacts of public health restrictions. Lastly, given limited and changing information, as well as limited resources and expertise, the COVID-19 response required cross-sector collaboration, which was commonly coordinated by local health departments.ConclusionsBy documenting the local, cross-sector decision landscape that formed in response to COVID-19, we illuminate the impacts different organizations may have on information/misinformation, prevention behaviors, and, ultimately, health. Public health researchers and practitioners must understand, and work within, this complex decision landscape when responding to COVID-19 and future community health challenges.

SARS-CoV-2 vaccination strategies were designed to reduce COVID-19 mortality, morbidity, and health inequities. To assess the impact of vaccination strategies on disparities in COVID-19 burden among historically marginalized populations (HMPs), e.g. Black race and Hispanic ethnicity, we used an agent-based simulation model, populated with census-tract data from North Carolina. We projected COVID-19 deaths, hospitalizations, and cases from 2020 July 1 to 2021 December 31, and estimated racial/ethnic disparities in COVID-19 outcomes. We modeled 2-stage vaccination prioritization scenarios applied to sub-groups including essential workers, older adults (65+), adults with high-risk health conditions, HMPs, or people in low-income tracts. Additionally, we estimated the effects of maximal uptake (100% for HMP vs. 100% for everyone), and distribution to only susceptible people. We found strategies prioritizing essential workers, then older adults led to the largest mortality and case reductions compared to no prioritization. Under baseline uptake scenarios, the age-adjusted mortality for HMPs was higher (e.g. 33.3%–34.1% higher for the Black population and 13.3%–17.0% for the Hispanic population) compared to the White population. The burden on HMPs decreased only when uptake was increased to 100% in HMPs; however, the Black population still had the highest relative mortality rate even when targeted distribution strategies were employed. If prioritization schemes were not paired with increased uptake in HMPs, disparities did not improve. The vaccination strategies publicly outlined were insufficient, exacerbating disparities between racial and ethnic groups. Strategies targeted to increase vaccine uptake among HMPs are needed to ensure equitable distribution and minimize disparities in outcomes.

Introduction: Rapid emergency medical services (EMS) response, care, and transport of acute stroke patients increases the likelihood of receiving time-sensitive treatment. There is limited research on the relationship of community factors with prehospital delays in EMS management of stroke. We compared EMS prehospital time intervals for suspected stroke patients by community socioeconomic status (SES) and urban-rural status in North Carolina (NC). Methods: We analyzed 2019 NC EMS encounter data collected in the National EMS Information System Version 3 standard. Eligible patients were adults requiring a 911 call response by EMS for stroke-like symptoms and transport to the hospital. Incident street addresses were geocoded to census tracts using ArcGIS Pro and linked to SES data from the American Community Survey and rural-urban commuting area (RUCA) codes. Community SES was defined as high, medium, or low based on tertiles of the AHRQ SES index. Urban, suburban, and rural tracts were defined by RUCA codes 1, 2-6, and 7-10, respectively. Differences in mean times by community SES and urban-rural status were evaluated using Kruskal Wallis tests. Results: We identified 17,117 eligible EMS encounters of suspected stroke (65% (11,121 of 17,117) 65+ years old; 55% (9,330 of 17,117) female; 70% (11,839 of 17,117) White) from 2,028 tracts. Median response, scene, and transport times were 8 (interquartile range, IQR 6-11) min, 16 (IQR 12-20) min, and 14 (IQR 9-22) min, respectively. Mean transport times were shorter in low SES (16 min) than in medium and high SES communities (17 min, p Conclusions: EMS transport times were on average longer for suspected stroke patients in rural but not in low SES tracts. Further research is needed on the role of community socioeconomic deprivation and rurality in contributing to delays in prehospital stroke care.

The dominance of the COVID-19 Delta variant has renewed questions about the impact of K12 school policies, including the role of masks, on disease burden.1 A recent study showed masks and testing could reduce infections in students, but failed to address the impact on the community,2 while another showed masking is critical to slow disease spread in communities, but did not consider school openings under Delta.3 We project the impact of school-masking on the community, which can inform policy decisions, and support healthcare system planning. Our findings indicate that the implementation of masking policies in school settings can reduce additional infections post-school opening by 23-36% for fully-open schools, with an additional 11-13% reduction for hybrid schooling, depending on mask quality and fit. Masking policies and hybrid schooling can also reduce peak hospitalization need by 71% and result in the fewest additional deaths post-school opening. We show that given the current vaccination rates within the community, the best option for children and the general population is to employ consistent high-quality masking, and use social distancing where possible.

Background Timely emergency medical services (EMS) response, management, and transport of patients with suspected acute coronary syndrome (ACS) significantly reduce delays to emergency treatment and improve outcomes. We evaluated EMS response, scene, and transport times and adherence to proposed time benchmarks for patients with suspected ACS in North Carolina from 2011 to 2017. Methods and Results We conducted a population‐based, retrospective study with the North Carolina Prehospital Medical Information System, a statewide electronic database of all EMS patient care reports. We analyzed 2011 to 2017 data on patient demographics, incident characteristics, EMS care, and county population density for EMS‐suspected patients with ACS, defined as a complaint of chest pain or suspected cardiac event and documentation of myocardial ischemia on prehospital ECG or prehospital activation of the cardiac care team. Descriptive statistics for each EMS time interval were computed. Multivariable logistic regression was used to quantify relationships between meeting response and scene time benchmarks (11 and 15 minutes, respectively) and prespecified covariates. Among 4667 patients meeting eligibility criteria, median response time (8 minutes) was shorter than median scene (16 minutes) and transport (17 minutes) time. While scene times were comparable by population density, patients in rural (versus urban) counties experienced longer response and transport times. Overall, 62% of EMS encounters met the 11‐minute response time benchmark and 49% met the 15‐minute scene time benchmark. In adjusted regression analyses, EMS encounters of older and female patients and obtaining a 12‐lead ECG and venous access were independently associated with lower adherence to the scene time benchmark. Conclusions Our statewide study identified urban–rural differences in response and transport times for suspected ACS as well as patient demographic and EMS care characteristics related to lower adherence to scene time benchmark. Strategies to reduce EMS scene times among patients with ACS need to be developed and evaluated.

1.ABSTRACTImportanceNationally stated goals for distributing SARS-CoV-2 vaccines included to reduce COVID-19 mortality, morbidity, and inequity using prioritization groups. However, the impact of these prioritization strategies is not well understood, particularly their effect on health inequity in COVID-19 burden for historically marginalized racial and ethnic populations.ObjectiveTo assess the impact of vaccination prioritization and operational strategies on disparities in COVID-19 burden among historically marginalized populations, and on mortality and morbidity by race and ethnicity.DesignWe use an agent-based simulation model of North Carolina to project SARS-CoV-2 infections and COVID-19-associated deaths (mortality), hospitalizations (morbidity), and cases over 18 months (7/1/2020-12/31/2021) with vaccine distribution beginning 12/13/2020 to frontline medical and people 75+, assuming initial uptake similar to influenza vaccine. We study two-stage subsequent prioritization including essential workers (“essential”), adults 65+ (“age”), adults with high-risk health conditions, HMPs, or people in low income tracts, with eligibility for the general population in the third stage. For age-essential and essential-age strategies, we also simulated maximal uptake (100% for HMP or 100% for everyone), and we allowed for distribution to susceptible-only people.ResultsPrioritizing Age then Essential had the largest impact on mortality (2.5% reduction from no prioritization); Essential then Age had the lowest morbidity and reduced infections (4.2% further than Age-Essential) without significantly impacting mortality. Under each prioritization scenario, the age-adjusted mortality burden for HMPs is higher (e.g., 33.3-34.1% higher for the Black population, 13.3%-17.0% for the Hispanic population) compared to the White population, and the gap grew under some prioritizations. In the Age-Essential strategy, the burden on HMPs decreases only when uptake is increased to 100% in HMPs. However, the Black population still had the highest mortality rate even with the Susceptible-Only distribution.Conclusions and RelevanceSimulation results show that prioritization strategies have differential impact on mortality, morbidity, and disparities overall and by race and ethnicity. If prioritization schemes were not paired with increased uptake in HMPs, disparities did not improve and could worsen. Although equity was one of the tenets of vaccine distribution, the vaccination strategies publicly outlined are insufficient to remove and may exacerbate disparities between racial and ethnic groups, thus targeted strategies are needed for the future.

Importance: Vaccination against SARS-CoV-2 has the potential to significantly reduce transmission and COVID-19 morbidity and mortality. The relative importance of vaccination strategies and nonpharmaceutical interventions (NPIs) is not well understood. Objective: To assess the association of simulated COVID-19 vaccine efficacy and coverage scenarios with and without NPIs with infections, hospitalizations, and deaths. Design, Setting, and Participants: An established agent-based decision analytical model was used to simulate COVID-19 transmission and progression from March 24, 2020, to September 23, 2021. The model simulated COVID-19 spread in North Carolina, a US state of 10.5 million people. A network of 1 017 720 agents was constructed from US Census data to represent the statewide population. Exposures: Scenarios of vaccine efficacy (50% and 90%), vaccine coverage (25%, 50%, and 75% at the end of a 6-month distribution period), and NPIs (reduced mobility, school closings, and use of face masks) maintained and removed during vaccine distribution. Main Outcomes and Measures: Risks of infection from the start of vaccine distribution and risk differences comparing scenarios. Outcome means and SDs were calculated across replications. Results: In the worst-case vaccination scenario (50% efficacy, 25% coverage), a mean (SD) of 2 231 134 (117 867) new infections occurred after vaccination began with NPIs removed, and a mean (SD) of 799 949 (60 279) new infections occurred with NPIs maintained during 11 months. In contrast, in the best-case scenario (90% efficacy, 75% coverage), a mean (SD) of 527 409 (40 637) new infections occurred with NPIs removed and a mean (SD) of 450 575 (32 716) new infections occurred with NPIs maintained. With NPIs removed, lower efficacy (50%) and higher coverage (75%) reduced infection risk by a greater magnitude than higher efficacy (90%) and lower coverage (25%) compared with the worst-case scenario (mean [SD] absolute risk reduction, 13% [1%] and 8% [1%], respectively). Conclusions and Relevance: Simulation outcomes suggest that removing NPIs while vaccines are distributed may result in substantial increases in infections, hospitalizations, and deaths. Furthermore, as NPIs are removed, higher vaccination coverage with less efficacious vaccines can contribute to a larger reduction in risk of SARS-CoV-2 infection compared with more efficacious vaccines at lower coverage. These findings highlight the need for well-resourced and coordinated efforts to achieve high vaccine coverage and continued adherence to NPIs before many prepandemic activities can be resumed.

Background: Chest pain is a leading complaint in emergency settings. Timely emergency medical services (EMS) responses can reduce delays to treatment and improve clinical outcomes for acute myocard...

Introduction: Efforts to control the COVID-19 pandemic brought sweeping social change, with stay-at-home orders and physical distancing mandates in 43 of 50 states by April 2020. Early on, isolated studies around the world described reduced hospital admissions. Reports from some US hospitals also described declines in catheterization laboratory activations, and acute myocardial infarction (AMI) and stroke admissions. However, there have been few population-based analyses of emergency department (ED) visits to verify these initial reports and describe longer term impacts of the pandemic on care seeking behavior. Hypothesis: We hypothesized that AMI and stroke ED visits in North Carolina (NC) would decrease substantially after a statewide stay-at-home order was announced on March 27, 2020. Methods: We analyzed all ED visits from January 5 to August 28, 2020 using data collected by the NC Disease Event Tracking and Epidemiologic Collection Tool, a syndromic surveillance system that automatically gathers ED data in near-real time for all EDs in NC. Counts of AMI and stroke/transient ischemic attack (TIA) were ascertained using ICD-10-CM diagnosis codes. We compared weekly 2020 ED visit data before and after NC’s stay-at-home order, and to 2019 ED visit data. Results: Overall ED volume declined by 44% in the weeks before and after the stay-at-home order ( Figure ) while the prior year’s ED volume stayed steady at ~100,000 visits per week. From January 5 to March 28, there were 593 AMI and 791 stroke/TIA visits per week on average. By April 11, ED visits reached a nadir at 426 AMI and 543 stroke/TIA visits per week, representing a 28% and 31% decrease, respectively. Since June, AMI and stroke/TIA ED visits have rebounded slightly but have yet to reach pre-pandemic levels. Conclusions: We observed swift declines in AMI and stroke/TIA ED visits following NC’s stay-at-home order. These findings potentially reflect the avoidance of medical care due to fears of COVID-19 exposure and may eventually result in higher associated case fatality.

Background: The effect of retirement on cognitive functioning is not clear. We examined the association between age at retirement, midlife occupation, and cognitive decline in the large Atherosclerosis Risk in Communities (ARIC) biracial community-based cohort. Methods: Retirement status after ARIC visit 4 (1996-98) was reported in annual follow-up questionnaires administered in 1999-2007 (n= 8,426), and classified as occurring before or after age 70. Current or most recent occupation at visit 1 (1987-89) was categorized based on 1980 US census major occupation groups and tertiles of Nam-Powers-Boyd occupational status score (a measure of socioeconomic status of occupations, hereby used as a proxy for occupational complexity). Generalized estimating equation models were used to examine the associations of retirement with trajectories of a global cognitive factor score, assessed in 1990-92 (visit 2), 1996-98 (visit 4) and 2011-2013 (visit 5). Models were a priori stratified by race and sex and adjusted for demographics and comorbidities. To account for attrition, we also performed multiple imputation by chained equations. Results: Retirement before age 70 is associated with higher educational level and higher occupational status score in white men and women, and in black men. We observed associations between retirement before age 70 and lower baseline cognitive scores, as well as slower cognitive decline in white men and women, and in black men (Figure). The results did not change substantially after adjusting for the occupational status score or accounting for attrition. Conclusion: Retirement before age 70 was significantly associated with lower baseline cognitive scores and slower cognitive decline in whites and in black men. The lack of similar associations in black women and the investigation of reasons for the observed associations warrant further research.

BackgroundThe COVID-19 Pandemic has popularized computer-based decision-support models as a tool for decision-makers to manage their organizations. It is unclear how decision-makers have considered these models to inform COVID-19-related decisions.MethodsWe interviewed decision-makers from North Carolina across diverse organizational backgrounds to assess major decision-making processes during COVID-19, including the use of modeling as an input to inform decision-making.ResultsInterviewees were aware of models during COVID-19, with some depending upon multiple models. Models were used to compare trends in disease spread across localities, allocate scarce resources, and track disease spread within small geographic areas. Decision-makers desired models to project disease spread within subpopulations and estimate where local outbreaks could occur as well as estimate the outcomes of social distancing policies, including consequences beyond typical health-related outcomes. Challenges to the use of modeling included doubts that models could reflect nuances of human behavior, concerns about the quality of data used in models, and the limited amount of modeling at the local level.ConclusionsThroughout COVID-19, decision-makers perceived modeling as valuable for understanding disease spread within their communities and to inform organization decisions, yet there were variations in organizations’ ability and willingness to use models for these purposes.

Background/Purpose: There is conflicting data on how geographic distance from delivery location to the cardiac surgical center impacts outcomes in neonates with ductal-dependent heart disease. Our goal was to describe national current practices in delivery location of neonates with a prenatal diagnosis of hypoplastic left heart syndrome (HLHS) and evaluate the impact of delivery location and age at admission to the surgical center ICU on post-operative length of hospital stay and transplant-free survival after the Norwood operation. Methods: A multicenter cohort study was performed utilizing the National Pediatric Cardiology Quality Improvement …

Key Points Question What is the association of COVID-19 vaccine efficacy and coverage scenarios with and without nonpharmaceutical interventions (NPIs) with SARS-CoV-2 infections, hospitalizations, and deaths? Findings A decision analytical model of North Carolina found that removing NPIs while vaccines were distributed resulted in substantial increases in infections, hospitalizations, and deaths. Furthermore, as NPIs were removed, higher vaccination coverage with less efficacious vaccines contributed to a larger reduction in risk of infection compared with more efficacious vaccines at lower coverage. Meaning These findings highlight the need for high COVID-19 vaccine coverage and continued adherence to NPIs before safely resuming many prepandemic activities., Importance Vaccination against SARS-CoV-2 has the potential to significantly reduce transmission and COVID-19 morbidity and mortality. The relative importance of vaccination strategies and nonpharmaceutical interventions (NPIs) is not well understood. Objective To assess the association of simulated COVID-19 vaccine efficacy and coverage scenarios with and without NPIs with infections, hospitalizations, and deaths. Design, Setting, and Participants An established agent-based decision analytical model was used to simulate COVID-19 transmission and progression from March 24, 2020, to September 23, 2021. The model simulated COVID-19 spread in North Carolina, a US state of 10.5 million people. A network of 1 017 720 agents was constructed from US Census data to represent the statewide population. Exposures Scenarios of vaccine efficacy (50% and 90%), vaccine coverage (25%, 50%, and 75% at the end of a 6-month distribution period), and NPIs (reduced mobility, school closings, and use of face masks) maintained and removed during vaccine distribution. Main Outcomes and Measures Risks of infection from the start of vaccine distribution and risk differences comparing scenarios. Outcome means and SDs were calculated across replications. Results In the worst-case vaccination scenario (50% efficacy, 25% coverage), a mean (SD) of 2 231 134 (117 867) new infections occurred after vaccination began with NPIs removed, and a mean (SD) of 799 949 (60 279) new infections occurred with NPIs maintained during 11 months. In contrast, in the best-case scenario (90% efficacy, 75% coverage), a mean (SD) of 527 409 (40 637) new infections occurred with NPIs removed and a mean (SD) of 450 575 (32 716) new infections occurred with NPIs maintained. With NPIs removed, lower efficacy (50%) and higher coverage (75%) reduced infection risk by a greater magnitude than higher efficacy (90%) and lower coverage (25%) compared with the worst-case scenario (mean [SD] absolute risk reduction, 13% [1%] and 8% [1%], respectively). Conclusions and Relevance Simulation outcomes suggest that removing NPIs while vaccines are distributed may result in substantial increases in infections, hospitalizations, and deaths. Furthermore, as NPIs are removed, higher vaccination coverage with less efficacious vaccines can contribute to a larger reduction in risk of SARS-CoV-2 infection compared with more efficacious vaccines at lower coverage. These findings highlight the need for well-resourced and coordinated efforts to achieve high vaccine coverage and continued adherence to NPIs before many prepandemic activities can be resumed., This decision analytical study assesses the association of simulated COVID-19 vaccine efficacy and coverage scenarios with and without nonpharmaceutical interventions with infections, hospitalizations, and deaths.

Hypoplastic left heart syndrome includes various lesions that ultimately result in a small left ventricle along with the underdeveloped aortic and mitral valves, as such the left ventricle cannot handle systemic circulation. It is a severe form of congenital heart defect with 100% fatality without treatment in the neonatal period. Multidisciplinary team-based approaches along with technical advances in staged surgeries to achieve single ventricular circulation have improved survival for this otherwise lethal condition. Knowledge of unique hemodynamics associated with Fontan physiology is necessary for appropriate management of this population and to address potential complications. Cardiac CT is being increasingly used after single-ventricle palliation in patients with hypoplastic left heart syndrome.

Cardiac CT is a powerful tool for diagnosis and management of patients with complex congenital heart disease. Utilizing a comprehensive, systematic descriptive scheme is essential to consistently describe features of a wide variety of defects, ensure consistent evaluation from patient to patient, and communicate these abnormalities in a succinct and complete way to multidisciplinary teams. Complete and thorough diagnosis of all cardiac defects and associated lesions allows for optimal interventional planning and counseling of the patient and caregivers. We present our method for describing the wide constellation of anatomic and cardiac defects typically found in complex patients, especially helpful in those with heterotaxy syndrome. The basic components that should be described, when possible, are cardiac position, pulmonary and abdominal (visceral) situs, systemic and pulmonary venous connections, atrial situs (or arrangement), ventricular situs and atrioventricular relationships, outflow tracts and ventriculoarterial alignments, and the great arteries.

Defects of the atrial septum and ventricular septum, which also include atrioventricular septal defects, sinus venosus defects, and coronary sinus defects, are some of the most common congenital heart defects and will be encountered often in pediatric patients. Therefore, they are a common type of congenital heart defect causing clinically significant symptoms and disease including hemodynamically significant left to right shunts, high-output heart failure, and cyanosis or implicated in paradoxical embolism. Echocardiography is an excellent first-line diagnostic modality to assess for these defects but may be limited by poor acoustic windows or inadequate visualization of the systemic and pulmonary veins. Cardiac CT is well suited for precise evaluation of the systemic and pulmonary venous connections, atrial and ventricular septum, and relationship of these structures in various planes.

BackgroundThere is limited evidence on the performance of emergent large-vessel occlusion (LVO) stroke screening tools when used by emergency medical services (EMS) and emergency department (ED) providers. We assessed the validity and predictive value of the vision, aphasia, neglect (VAN) assessment when completed by EMS and in the ED among suspected stroke patients.MethodsWe conducted a retrospective study of VAN performed by EMS providers and VAN inferred from the National Institutes of Health Stroke Scale performed by ED nurses at a single hospital. We calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of VAN by EMS and in the ED for LVO and a combined LVO and intracerebral hemorrhage (ICH) outcome.ResultsFrom January 2018 to June 2020, 1,547 eligible patients were identified. Sensitivity and specificity of ED VAN were similar for LVO (72% and 74%, respectively), whereas EMS VAN was more sensitive (84%) than specific (68%). PPVs were low for both EMS VAN (26%) and ED VAN (21%) to detect LVO. Due to several VAN-positive ICHs, PPVs were substantially higher for both EMS VAN (44%) and ED VAN (39%) to detect LVO or ICH. EMS and ED VAN had high NPVs (97% and 96%, respectively).ConclusionsAmong suspected stroke patients, we found modest sensitivity and specificity of VAN to detect LVO for both EMS and ED providers. Moreover, the low PPV in our study suggests a significant number of patients with non-LVO ischemic stroke or ICH could be over-triaged with VAN.

A 4-year-old child was transferred to the paediatric intensive care unit with acute respiratory failure following 4 days of fever, nausea and vomiting. Chest X-ray on admission had an enlarged cardiac silhouette and transthoracic echo confirmed a large pericardial effusion. An emergent pericardiocentesis was performed at bedside which drained nearly 1000 mL of purulent fluid. Postdrainage course was complicated by acute systolic and diastolic heart failure, thrombocytopenia and acute renal failure. A chest CT and MRI were concerning for a diffuse mediastinal soft-tissue density, so the patient underwent interventional radiology-guided biopsy complicated by haemorrhage requiring mediastinal exploration and subtotal thymectomy. Histopathology revealed changes consistent with kaposiform lymphangiomatosis and MRI demonstrated involvement of the lumbar spine and right hip. Following a course of intravenous antibiotics, the patient was started on sirolimus and prednisolone and ultimately discharged home.

Background: Acute Aortic dissection is a critical etiology of chest pain with very high mortality. 1% to 2% of patients die per hour during the initial 24 to 48 hours. Case: A 62 year old lady with history of diabetes, hypertension, hyperlipidemia, hypothyroidism, smoking and no pertinent family history presented with atypical chest pain. She remained hemodynamically stable with no discrepancy of BP between arms. Labs: troponin 0.64, 0.63 ng/ml. EKG: sinus bradycardia. Chest x-ray: no mediastinal widening or signs of aortic aneurysm. Coronary angiogram showed 20-30 % stenosis in left anterior descending and right coronary arteries. An aortogram showed dilated aortic root over 6 cm with aortic regurgitation. Decision-making: An emergent echocardiogram confirmed acute aortic regurgitation and dissection. CT angiogram showed DeBakey type I aortic dissection extending from aortic annulus to infra renal aorta, supra aortic great vessels, celiac axis and left renal artery. She had no signs of malperfusion syndrome. She was started on iv Esmolol and emergently airlifted to tertiary care facility for surgical repair. Intra operative TEE showed findings consistent with acute aortic dissection. She had successful modified Bentall procedure with replacement of aortic valve, aortic root, ascending aorta and hemi arch. She had excellent recovery and continues to do well at follow up visits in our clinic. Conclusion: An early diagnosis of acute aortic dissection requires high index of suspicion due to variable symptoms and clinical manifestations. DeBakey type I aortic dissection may have better chance of survival in the absence of malperfusion syndrome if treated early as in this case.

Introduction: Spontaneous Coronary Artery Dissection (SCAD) is an uncommon condition. In patients taking prescription amphetamine or with methamphetamine abuse, SCAD has been reported in some case reports. We describe a case of a young female patient who had recurrent SCAD on prescription amphetamine with multisite involvement. Case presentation: A 48-year-old woman with history of active tobacco use, hypertension presented with substernal chest pain radiating to both arms. Her home medications included prescription amphetamine (Amphetamine, Dextroamphetamine) for reported history of ADHD (Attention Deficit Hyperactivity Disorder, diagnosed in childhood). The patient’s electrocardiogram showed ST elevations in V2,V3 and V4 and with reciprocal changes in leads II, III and aVF. On emergent cardiac catheterization we noted dominant left system with 99% occlusion with thrombus of mid LAD with radiolucent lumens and contrast dye extravasation into the arterial wall suggesting type 1 SCAD. Otherwise we noted normal RCA, LCx and OM branches. An IVUS was not used during the procedure. This lesion was revascularized with a drug eluding stent with containment of the dissection and achievement of TIMI 3 flow. We noted that the patient presented similarly two separate times in the past 2 years and cardiac catheterizations at that time revealed type 2B SCAD involving OM3, which appeared angiographically normal on current angiogram and 90% distal LAD occlusion from type 1 SCAD. The patient was treated with aspirin and ticagrelor and discharged 2 days post procedure in stable condition. Conclusions: Spontaneous Coronary Artery Dissection (SCAD) has been reported in patients with prescription amphetamine and methamphetamine use, but it is imperative to rule out alternative etiologies and amphetamine related SCAD should be a diagnosis of exclusion. We opted to intervene on the mid LAD dissection and the distal dissections were treated medically.

Biatrial drainage of the right superior vena cava (SVC) is a rare form of interatrial shunting that can have substantial clinical consequences. Cross-sectional imaging techniques (CT and MRI) are well suited for evaluation and surgical planning. This review article focuses on the embryologic development, hemodynamics, and imaging features to enable a timely diagnosis. Biatrial drainage of the right SVC has important clinical implications, and knowledge of its imaging appearance and hemodynamics is essential in diagnosis and treatment planning. © RSNA, 2020.