Racial, Ethnic, and Socioeconomic Disparities in Out-of-Hospital Pain Management for Patients With Long Bone Fractures.

STUDY OBJECTIVE: To evaluate racial and ethnic disparities in out-of-hospital analgesic administration, accounting for the influence of clinical characteristics and community socioeconomic vulnerability, among a national cohort of patients with long bone fractures. METHODS: Using the 2019-2020 ESO Data Collaborative, we retrospectively analyzed emergency medical services (EMS) records for 9-1-1 advanced life support transport of adult patients diagnosed with long bone fractures at the emergency department. We calculated adjusted odds ratios (aOR) and 95% confidence intervals (CI) for out-of-hospital analgesic administration by race and ethnicity, accounting for age, sex, insurance, fracture location, transport time, pain severity, and scene Social Vulnerability Index. We reviewed a random sample of EMS narratives without analgesic administration to identify whether other clinical factors or patient preferences could explain differences in analgesic administration by race and ethnicity. RESULTS: Among 35,711 patients transported by 400 EMS agencies, 81% were White, non-Hispanic, 10% were Black, non-Hispanic, and 7% were Hispanic. In crude analyses, Black, non-Hispanic patients with severe pain were less likely to receive analgesics compared with White, non-Hispanic patients (59% versus 72%; Risk Difference: -12.5%, 95% CI: -15.8% to -9.9%). After adjustment, Black, non-Hispanic patients remained less likely to receive analgesics compared with White, non-Hispanic patients (aOR:0.65, 95% CI:0.53 to 0.79). Narrative review identified similar rates of patients declining analgesics offered by EMS and analgesic contraindications across racial and ethnic groups. CONCLUSIONS: Among EMS patients with long bone fractures, Black, non-Hispanic patients were substantially less likely to receive out-of-hospital analgesics compared with White, non-Hispanic patients. These disparities were not explained by differences in clinical presentations, patient preferences, or community socioeconomic conditions.

Assessment of intensive care unit-free and ventilator-free days as alternative outcomes in the pragmatic airway resuscitation trial.

OBJECTIVE: We sought to evaluate the utility and validity of ICU-free days and ventilator-free days as candidate outcomes for OHCA trials. METHODS: We conducted a secondary analysis of the Pragmatic Airway Resuscitation Trial. We determined ICU-free (days alive and out of ICU during the first 30 days) and ventilator-free days (days alive and without mechanical ventilation). We determined ICU-free and ventilator-free day distributions and correlations with Modified Rankin Scale (MRS). We tested associations with trial interventions (laryngeal tube (LT), endotracheal intubation (ETI)) using continuous (t-test), non-parametric (Wilcoxon Rank-Sum test - WRS), count (negative binomial - NB) and survival models (Cox proportional hazards (CPH) and competing risks regression (CRR)). We conducted bootstrapped simulations to estimate statistical power. MAIN RESULTS: ICU-free days was skewed; median 0 days (IQR 0, 0), survivors only 24 (18, 27). Ventilator-free days was skewed; median 0 (IQR 0, 0) days, survivors only 27 (IQR 23, 28). ICU-free and ventilator-free days correlated with MRS (Spearman's ρ = -0.95 and -0.97). LT was associated with higher ICU-free days using t-test (p = 0.001), WRS (p = 0.003), CPH (p = 0.02) and CRR (p = 0.04), but not NB (p = 0.13). LT was associated with higher ventilator-free days using t-test (p = 0.001), WRS (p = 0.001) and CRR (p = 0.03), but not NB (p = 0.13) or CPH (p = 0.13). Simulations suggested that t-test and WRS would have had the greatest power to detect the observed ICU- and ventilator-free days differences. CONCLUSION: ICU-free and ventilator-free days correlated with MRS and differentiated trial interventions. ICU-free and ventilator-free days may have utility in the design of OHCA trials.

Focused assessment with sonography for trauma in predicting early surgical intervention in hemodynamically unstable children with blunt abdominal trauma.

OBJECTIVES: The predictive accuracy and clinical role of the focused assessment with sonography for trauma (FAST) exam in pediatric blunt abdominal trauma are uncertain. This study investigates the performance of the emergency department (ED) FAST exam to predict early surgical intervention and subsequent free fluid (FF) in pediatric trauma patients. METHODS: Pediatric level 1 trauma patients ages 0 to 15 years with blunt torso trauma at a single trauma center were retrospectively reviewed. After stratification by initial hemodynamic (HD) instability, the association of a positive FAST with (1) early surgical intervention, defined as operative management (laparotomy or open pericardial window) or angiography within 4 hours of ED arrival and (2) presence of FF during early surgical intervention was determined. RESULTS: Among 508 salvageable pediatric trauma patients with an interpreted FAST exam, 35 (6.9%) had HD instability and 98 (19.3%) were FAST positive. A total of 42 of 508 (8.3%) patients required early surgical intervention, and the sensitivity and specificity of FAST predicting early surgical intervention were 59.5% and 84.3%, respectively. The specificity and positive predictive value of FF during early surgical intervention in FAST-positive HD unstable patients increased from 50% and 90.9% at 4 hours after ED arrival to 100% and 100% at 2 hours after ED arrival, respectively. CONCLUSIONS: In this large series of injured children, a positive FAST exam improves the ability to predict the need for early surgical intervention, and accuracy is greater for FF in HD unstable patients 2 hours after arrival to the ED.

Epidemiology of out-of-hospital pediatric airway management in the 2019 national emergency medical services information system data set.

OBJECTIVE: Airway management is an important priority in the care of critically ill children. We sought to provide updated estimates of the epidemiology of pediatric out-of-hospital airway management and ventilation interventions in the United States. METHODS: We used data from the 2019 National Emergency Medical Services Information System (NEMSIS) data set. We performed a descriptive analysis of all patients < 18 years receiving one or more of the following: bag-valve-mask ventilation (BVM), tracheal intubation (TI), supraglottic airway (SGA) insertion, continuous positive airway pressure (CPAP), bilevel positive airway pressure (BiPAP) and surgical airway placement. We determined success and complication rates for each airway procedure. RESULTS: Among 1,148,943 pediatric patient care encounters, airway and ventilation interventions occurred in 22,637 (1,970 per 100,000 pediatric Emergency Medical Services (EMS) activations), including 64% <11 years old, 56.1% male, 16.9% cardiac arrest, 16.6% injured, and 83.9% in urban areas. Airway interventions included: BVM 3,997 (17.7% of pediatric airway encounters), TI 3,165 (14.0%), SGA 582 (2.6%), CPAP/BiPAP 331 (1.5%) and surgical airway 29 (0.1%). TI success was 75.2% (95% CI 73.7-76.7%) and lowest for the 0-1 month age group (56.8%; 49.2-64.2%). SGA success was 88.0% (95% CI 85.1-90.6%). Vomiting was the most common airway complication (n = 223, 1%). CONCLUSIONS: BVM and advanced airway management occur in 1 of every 51 pediatric EMS encounters. BVM is the most commonly prehospital pediatric airway management technique, followed by TI and SGA insertion. These data provide contemporary perspectives of pediatric prehospital airway management.

Development of a Hand Motion-based Assessment System for Endotracheal Intubation Training.

Endotracheal intubation (ETI) is a procedure to manage and secure an unconscious patient's airway. It is one of the most critical skills in emergency or intensive care. Regular training and practice are required for medical providers to maintain proficiency. Currently, ETI training is assessed by human supervisors who may make inconsistent assessments. This study aims at developing an automated assessment system that analyzes ETI skills and classifies a trainee into an experienced or a novice immediately after training. To make the system more available and affordable, we investigate the feasibility of utilizing only hand motion features as determining factors of ETI proficiency. To this end, we extract 18 features from hand motion in time and frequency domains, and also 12 force features for comparison. Subsequently, feature selection algorithms are applied to identify an ideal feature set for developing classification models. Experimental results show that an artificial neural network (ANN) classifier with five hand motion features selected by a correlation-based algorithm achieves the highest accuracy of 91.17% while an ANN with five force features has only 80.06%. This study corroborates that a simple assessment system based on a small number of hand motion features can be effective in assisting ETI training.

Community disparities in out of hospital cardiac arrest care and outcomes in Texas.

BACKGROUND: Large racial and socioeconomic inequalities exist for out-of-hospital cardiac arrest (OHCA) care and outcomes. We sought to characterize racial, ethnic, and socioeconomic disparities in OHCA care and outcomes in Texas. METHODS: We analyzed 2014-2018 Texas-Cardiac Arrest Registry to Enhance Survival (CARES) data. Using census tracts, we defined race/ethnicity neighborhoods based on majority race/ethnicity composition: non-Hispanic/Latino white, non-Hispanic/Latino black, and Hispanic/Latino. We also stratified neighborhoods into socioeconomic categories: above and below the median for household income, employment rate, and high school graduation. We defined outcomes as bystander CPR rates, public bystander AED use, and survival to hospital discharge. Using mixed models, we analyzed the associations between outcomes and neighborhood (1) racial/ethnic categories and (2) socioeconomic categories. RESULTS: We included data on 18,488 OHCAs. Relative to white neighborhoods, black neighborhoods had lower rates of AED use (OR 0.3, CI 0.2-0.4), and Hispanic/Latino neighborhoods had lower rates of bystander CPR (OR 0.7, CI 0.6-0.8), AED use (OR 0.4, CI 0.3-0.6), and survival (OR 0.8, CI 0.7-0.8). Lower income was associated with a lower rates of bystander CPR (OR 0.8, CI 0.7-0.8), AED use (OR 0.5, CI 0.4-0.8), and survival (OR 0.9, CI 0.9-0.98). Lower high school graduation was associated with a lower rate of bystander CPR (OR 0.8, CI 0.7-0.9) and AED use (OR 0.6, CI 0.4-0.9). Higher unemployment was associated with lower rates of bystander CPR (OR 0.9, CI 0.8-0.94) and AED use (OR 0.7, CI 0.5-0.99). CONCLUSION: Minority and poor neighborhoods in Texas experience large and unacceptable disparities in OHCA bystander response and outcomes.

Prevalence and charges of opioid-related visits to U.S. emergency departments.

OBJECTIVE: An overwhelming responsibility for responding to the opioid epidemic falls on hospital emergency departments (ED). We sought to examine the overall prevalence rate and associated charges of opioid-related diagnoses and overdoses. Although charge data do not necessarily represent cost, they are proxy indicators of resource utilization and burden. METHODS: We conducted a retrospective study of the National Emergency Department Sample (NEDS) dataset, the largest all-payer ED database in the United States. We queried using specific relevant ICD-10 codes to estimate the number of adult ED visits for both opioid poisonings and other opioid-related diagnoses during 2016 and 2017, which was the most recent publicly available data. Prevalence rates and financial charges were calculated by year and odds ratios were used to examine differences. RESULTS: Of approximately 234 million adult visits to EDs across 2016 and 2017, 2.88 million (1.23%) were related to opioids, with overdoses comprising nearly 27.5% and visits for other opioid-related diagnoses totaling 72.5%. As the primary diagnosis, opioids were responsible for 37% of all ED visits across both years. Total opioid-related visits for the two years accounted for $9.57 billion in ED charges, or $4.78 billion annually, with Medicaid and Medicare responsible for 66% of all charges. CONCLUSION AND RELEVANCE: Approximately one of every 80 visits to the ED were opioid-related, leading to financial charges approaching $5 billion per year. Since both prevalence and the economic burden of opioid-related visits are high, targeted interventions to address this epidemic's impact on healthcare systems should be a national priority.

Sepsis Epidemiology Across the International Classification of Diseases, 9th Edition, to International Classification of Diseases, 10th Edition, Chasm-A Direct Application of the Institute for Health Metrics and Evaluation Case Definition to Hospital Discharge Data.

OBJECTIVES: Describe the epidemiology of sepsis across the transition from the International Classification of Diseases, 9th Edition, and International Classification of Diseases, 10th Edition, coding systems, evaluating estimates of two previously published International Classification of Diseases, 10th Edition, coding strategies. DESIGN: Serial cross-sectional analysis. SETTING: Healthcare Utilization Project's annual Nationwide Inpatient Sample of U.S. hospital discharges, 2012-2017. PATIENTS: Discharges greater than or equal to 18 years old, which met one of the three case definitions for sepsis. For the records using International Classification of Diseases, 9th Edition, we used previously published modified Angus criteria, and for records using International Classification of Diseases, 10th Edition, we deployed a case definition used by the Centers for Medicare & Medicaid Services and a case definition developed by the Institute for Health Metrics and Evaluation. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: During the study period, there were discontinuities in the sepsis incidence estimates using the modified Angus International Classification of Diseases, 9th Edition, criteria in 2014 and either Centers for Medicare & Medicaid Services or Institute for Health Metrics and Evaluation International Classification of Diseases, 10th Edition, criteria in 2016. In 2014, there were an estimated 1,009 cases (95% CI, 989-1,030) of modified Angus sepsis per 100,000 persons, whereas in 2016, there were 709 cases (95% CI, 694-724) of Centers for Medicare & Medicaid Services sepsis and 1,498 cases (95% CI, 1,471-1,092) of Institute for Health Metrics and Evaluation sepsis per 100,000 persons. Furthermore, the Institute for Health Metrics and Evaluation definition identified a sepsis cohort with similar hospital characteristics but a younger age distribution, higher proportion of women, lower severity of illness, and lower hospital mortality. CONCLUSIONS: The Institute for Health Metrics and Evaluation International Classification of Diseases, 10th Edition, coding strategy for identifying sepsis may capture a larger patient population within administrative datasets that are different from those identified with previously deployed International Classification of Diseases-based methods. Further work is required to determine the optimal International Classification of Diseases, 10th Edition, coding strategy for use in hospital discharge data.

Agreement of claims-based methods for identifying sepsis with clinical criteria in the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort.

BACKGROUND: Claims-based algorithms are commonly used to identify sepsis in health services research because the laboratory features required to define clinical criteria may not be available in administrative data. METHODS: We evaluated claims-based sepsis algorithms among adults in the US aged ≥65 years with Medicare health insurance enrolled in the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Suspected infections from baseline (2003-2007) through December 31, 2012 were analyzed. Two claims-based algorithms were evaluated: (1) infection plus organ dysfunction diagnoses or sepsis diagnoses (Medicare-Implicit/Explicit) and (2) Centers for Medicare and Medicaid Services Severe Sepsis/Septic Shock Measure diagnoses (Medicare-CMS). Three classifications based on clinical criteria were used as standards for comparison: (1) the sepsis-related organ failure assessment (SOFA) score (REGARDS-SOFA), (2) "quick" SOFA (REGARDS-qSOFA), and (3) Centers for Disease Control and Prevention electronic health record criteria (REGARDS-EHR). RESULTS: There were 2217 suspected infections among 9522 participants included in the current study. The total number of suspected infections classified as sepsis was 468 for Medicare-Implicit/Explicit, 249 for Medicare-CMS, 541 for REGARDS-SOFA, 185 for REGARDS-qSOFA, and 331 for REGARDS-EHR. The overall agreement between Medicare-Implicit/Explicit and REGARDS-SOFA, REGARDS-qSOFA, and REGARDS-EHR was 77, 79, and 81%, respectively, sensitivity was 46, 53, and 57%, and specificity was 87, 82, and 85%. Comparing Medicare-CMS and REGARDS-SOFA, REGARDS-qSOFA, and REGARDS-EHR, agreement was 77, 87, and 85%, respectively, sensitivity was 27, 41, and 36%, and specificity was 94, 92, and 93%. Events meeting the REGARDS-SOFA classification had a lower 90-day mortality rate (140.7 per 100 person-years) compared with the Medicare-CMS (296.1 per 100 person-years), REGARDS-qSOFA (238.6 per 100 person-years), Medicare-Implicit/Explicit (219.4 per 100 person-years), and REGARDS-EHR classifications (201.8 per 100 person-years). CONCLUSION: Claims-based sepsis algorithms have high agreement and specificity but low sensitivity when compared with clinical criteria. Both claims-based algorithms identified a patient population with similar 90-day mortality rates as compared with classifications based on qSOFA and EHR criteria but higher mortality relative to SOFA criteria.

Sequential Organ Failure Assessment Component Score Prediction of In-hospital Mortality From Sepsis.

OBJECTIVES: Early organ dysfunction in sepsis confers a high risk of in-hospital mortality, but the relative contribution of specific types of organ failure to overall mortality is unclear. The objective of this study was to assess the predictive ability of individual types of organ failure to in-hospital mortality or prolonged intensive care. METHODS: Retrospective cohort study of adult emergency department patients with sepsis from October 1, 2013, to November 10, 2015. Multivariable regression was used to assess the odds ratios of individual organ failure types for the outcomes of in-hospital death (primary) and in-hospital death or ICU stay ≥ 3 days (secondary). RESULTS: Of 2796 patients, 283 (10%) experienced in-hospital mortality, and 748 (27%) experienced in-hospital mortality or an ICU stay ≥ 3 days. The following components of Sequential Organ Failure Assessment (SOFA) score were most predictive of in-hospital mortality (descending order): coagulation (odds ratio [OR]: 1.60, 95% confidence interval [CI]: 1.32-1.93), hepatic (1.58, 95% CI: 1.32-1.90), respiratory (OR: 1.33, 95% CI: 1.21-1.47), neurologic (OR: 1.20, 95% CI: 1.07-1.35), renal (OR: 1.14, 95% CI: 1.02-1.27), and cardiovascular (OR: 1.13, 95% CI: 1.01-1.25). For mortality or ICU stay ≥3 days, the most predictive SOFA components were respiratory (OR: 1.97, 95% CI: 1.79-2.16), neurologic (OR: 1.72, 95% CI: 1.54-1.92), cardiovascular (OR: 1.38, 95% CI: 1.23-1.54), coagulation (OR: 1.31, 95% CI: 1.10-1.55), and renal (OR: 1.19, 95% CI: 1.08-1.30) while hepatic SOFA (OR: 1.16, 95% CI: 0.98-1.37) did not reach statistical significance (P = .092). CONCLUSION: In this retrospective study, SOFA score components demonstrated varying predictive abilities for mortality in sepsis. Elevated coagulation or hepatic SOFA scores were most predictive of in-hospital death, while an elevated respiratory SOFA was most predictive of death or ICU stay >3 days.

Frailty Syndrome and Risk of Sepsis in the REasons for Geographic And Racial Differences in Stroke (REGARDS) Cohort.

BACKGROUND:: Frailty is associated with increased morbidity and mortality in older persons. We sought to characterize the associations between the frailty syndrome and long-term risk of sepsis in a large cohort of community-dwelling adults. METHODS:: We analyzed data on 30 239 community-dwelling adult participants in the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. We defined frailty as the presence of at least 2 frailty indicators (weakness, exhaustion, and low physical activity). We defined sepsis as hospitalization for a serious infection with ≥2 system inflammatory response syndrome criteria, identified for the period 2003-2012. We determined the associations between frailty and risk of first sepsis and sepsis 30-day case fatality. RESULTS:: Among REGARDS participants, frailty was present in 6018 (19.9%). Over the 10-year observation period, there were 1529 first-sepsis hospitalizations. Frailty was associated with increased risk of sepsis (adjusted hazard ratio [HR] 1.44; 95% CI: 1.26 to 1.64). The total number of frailty indicators was associated with increased risk of sepsis ( P trend <.001). Among first-sepsis hospitalizations, frailty was associated with increased sepsis 30-day case fatality (adjusted OR 1.62; 95% CI: 1.06 to 2.50). CONCLUSIONS:: In the REGARDS cohort, frailty was associated with increased long-term risk of sepsis and sepsis 30-day case fatality.

Sepsis is a preventable public health problem.

There is a paradigm shift happening for sepsis. Sepsis is no longer solely conceptualized as problem of individual patients treated in emergency departments and intensive care units but also as one that is addressed as public health issue with population- and systems-based solutions. We offer a conceptual framework for sepsis as a public health problem by adapting the traditional model of primary, secondary, and tertiary prevention.

Association of Neighborhood Socioeconomic Status With Risk of Infection and Sepsis.

Background: Prior studies suggest disparities in sepsis risk and outcomes based on place of residence. We sought to examine the association between neighborhood socioeconomic status (nSES) and hospitalization for infection and sepsis. Methods: We conducted a prospective cohort study using data from 30239 participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study. nSES was defined using a score derived from census data and classified into quartiles. Infection and sepsis hospitalizations were identified over the period 2003-2012. We fit Cox proportional hazards models, reporting hazard ratios (HRs) with 95% confidence intervals (CIs) and examining mediation by participant characteristics. Results: Over a median follow-up of 6.5 years, there were 3054 hospitalizations for serious infection. Infection incidence was lower for participants in the highest nSES quartile compared with the lowest quartile (11.7 vs 15.6 per 1000 person-years). After adjustment for demographics, comorbidities, and functional status, infection hazards were also lower for the highest quartile (HR, 0.84 [95% CI, .73-.97]), with a linear trend (P = .011). However, there was no association between nSES and sepsis at presentation among those hospitalized with infection. Physical weakness, income, and diabetes had modest mediating effects on the association of nSES with infection. Conclusions: Our study shows that differential infection risk may explain nSES disparities in sepsis incidence, as higher nSES is associated with lower infection hospitalization rates, but there is no association with sepsis among those hospitalized. Mediation analysis showed that nSES may influence infection hospitalization risk at least partially through physical weakness, individual income, and comorbid diabetes.

Community characteristics and regional variations in sepsis.

Background: Sepsis may contribute to more than 200 000 annual deaths in the USA. Little is known about the regional patterns of sepsis mortality and the community characteristics that explain this relationship. We aimed to determine the influence of community characteristics upon regional variations in sepsis incidence and case fatality. Methods: We performed a retrospective analysis of data from the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. Using US sepsis mortality data, we used two strategies for defining geographic regions: (i) Sepsis 'Belt' vs Non-Belt and (ii) Sepsis 'Cluster' vs Non-Cluster. We determined sepsis incidence and case fatality among REGARDS participants in each region, adjusting for participant characteristics. We examined the mediating effect of community characteristics upon regional variations in sepsis incidence and case fatality. Results: Among 29 680 participants, 16 493 (55.6%) resided in the Sepsis Belt and 2958 (10.0%) resided in a Sepsis Cluster. Sepsis incidence was higher for Sepsis Belt than Non-Belt participants [adjusted hazard ratio (HR) = 1.14; 95% confidence interval (CI) = 1.02-1.24] and higher for Sepsis Cluster than Non-Cluster participants (adjusted HR = 1.18; 95% CI = 1.01-1.39). Sepsis case fatality was similar between Sepsis Belt and Non-Belt participants, as well as between Cluster and Non-Cluster participants. Community poverty mediated the regional differences in sepsis incidence. Conclusions: Regional variations in sepsis incidence may be partly explained by community poverty. Other community characteristics do not explain regional variations in sepsis incidence or case fatality.

Energy expenditure and muscular activation patterns through active sitting on compliant surfaces.

PURPOSE: To test the effectiveness of sitting surfaces with varied amounts of stability on muscle activity and energy expenditure. METHODS: Using a within-participants repeated measures design, 11 healthy young-adult females (age = 20.0 ± 1.8 years) were measured using indirect calorimetry to assess energy expenditure, and electromyography to assess muscular activation in trunk and leg musculature under 3 different sitting surfaces: flat-firm surface, air-filled cushion, and a stability ball. Data were analyzed using repeated measures analysis of variance with follow-up pairwise contrasts used to determine the specific effects of sitting surface on muscle activation and energy expenditure. RESULTS: Significantly greater energy expenditure was recorded for the stability ball (p = 0.01) and the cushion (p = 0.03) over the flat surface (10.4% and 9.6% greater, respectively), with no differences between the ball and the cushion. Both the ball and the cushion produced higher tibialis anterior activation over the flat surface (1.09 and 0.63 root-mean-square millivolts (RMSmv), respectively), while the stability ball produced higher soleus activity over both cushion and flat surfaces (3.97 and 4.24 RMSmv, respectively). Additionally, the cushion elicited higher adductor longus activity over the ball and flat surfaces (1.76 and 1.81 RMSmv, respectively), but no trunk musculature differences were revealed. CONCLUSION: Compliant surfaces resulted in higher levels of muscular activation in the lower extremities facilitating increased caloric expenditure. Given the increasing trends in sedentary careers and the increases in obesity, this is an important finding to validate the merits of active sitting facilitating increased caloric expenditure and muscle activation.

Geographic access to interventional cardiology services in one rural state.

OBJECTIVES: Explore (1) the characteristics of the Maine population with delayed geographic access to interventional cardiology (IC) services and (2) the effect of delayed geographic IC access on coronary mortality. BACKGROUND: Acute coronary syndrome (ACS), ST-segment elevated myocardial infarction (STEMI), and non-ST segment elevated myocardial infarction (NSTEMI) are highly prevalent. Coronary mortality is minimized when victims have prompt IC access. METHODS: The study design was (1) an exploration of census data to investigate disparities in geographic IC access and (2) a secondary analysis of administrative claims data to investigate coronary mortality relative to delayed geographic IC access. RESULTS: Delayed access was associated in the Maine population with rural residence, advanced age, high school education, and lack of health insurance. Delayed access was associated with increased unadjusted coronary mortality, but not age-adjusted coronary mortality. CONCLUSION: Delayed geographic IC access was associated with disparity but not with increased age-adjusted coronary mortality.

Black-white racial disparities in sepsis: a prospective analysis of the REasons for Geographic And Racial Differences in Stroke (REGARDS) cohort.

INTRODUCTION: Sepsis is a major public health problem. Prior studies using hospital-based data describe higher rates of sepsis among black than whites participants. We sought to characterize racial differences in incident sepsis in a large cohort of adult community-dwelling adults. METHODS: We analyzed data on 29,690 participants from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. We determined the associations between race and first-infection and first-sepsis events, adjusted for participant sociodemographics, health behaviors, chronic medical conditions and biomarkers. We also determined the association between race and first-sepsis events limited to first-infection events. We contrasted participant characteristics and hospital course between black and white sepsis hospitalizations. RESULTS: Among eligible REGARDS participants there were 12,216 (41.1%) black and 17,474 (58.9%) white participants. There were 2,600 first-infection events; the incidence of first-infection events was lower for black participants than for white participants (12.10 vs. 15.76 per 1,000 person-years; adjusted HR 0.65; 95% CI, 0.59-0.71). There were 1,526 first-sepsis events; the incidence of first-sepsis events was lower for black participants than for white participants (6.93 vs. 9.10 per 1,000 person-years, adjusted HR 0.64; 95% CI, 0.57-0.72). When limited to first-infection events, the odds of sepsis were similar between black and white participants (adjusted OR 1.01; 95% CI, 0.84-1.21). Among first-sepsis events, black participants were more likely to be diagnosed with severe sepsis (76.9% vs. 71.5%). CONCLUSION: In the REGARDS cohort, black participants were less likely than white participants to experience infection and sepsis events. Further efforts should focus on elucidating the underlying reasons for these observations, which are in contrast to existing literature.