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The aim of this 4-year observational study is to analyze the outcomes of stroke patients treated with direct mechanical thrombectomy (dMT) compared to bridging therapy (BT) (intravenous thrombolysis [IVT] + BT) based on 3-month outcomes, in real clinical practice in the "Stroke Belt" of Southern Europe. In total, 300 patients were included (41.3% dMT and 58.6% BT). The frequency of direct referral to the stroke center was similar in the dMT and BT group, whereas the time from onset to groin was longer in the BT group (median 210 [IQR 160–303] vs. 399 [IQR 225–675], p = 0.001). Successful recanalization (TICI 2b-3) and hemorrhagic transformation were similar in both groups. The BT group more frequently showed excellent outcomes at 3 months (32.4% vs. 15.4%, p = 0.004). Multivariate analysis showed that BT was independently associated with excellent outcomes (OR 2.7. 95% CI,1.2–5.9, p = 0.02) and lower mortality (OR 0.36. 95% CI 0.16–0.82, p = 015). Conclusions: Compared with dMT, BT was associated with excellent functional outcomes and lower 3-month mortality in this real-world clinical practice study conducted in a region belonging to the “Stroke Belt” of Southern Europe. Given the disparity of results on the benefit of BT in the current evidence, it is of vital importance to analyze the convenience of its use in each health area.

Objective To evaluate the trends in cardiovascular, ischemic heart disease (IHD), stroke, and heart failure mortality in the stroke belt in comparison with the rest of the United States. Patients and Methods We evaluated the nationwide mortality data of all Americans from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database from 1999 to 2018. Cause-specific deaths were identified in the stroke belt and nonstroke belt populations using International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes. The relative percentage gap was estimated as the absolute difference computed relative to nonstroke belt mortality. Piecewise linear regression and age-period-cohort modeling were used to assess, respectively, the trends and to forecast mortality across the 2 regions. Results The cardiovascular mortality rate (per 100,000 persons) was 288.3 (95% CI, 288.0 to 288.6; 3,684,273 deaths) in the stroke belt region and 251.2 (95% CI, 251.0 to 251.3; 13,296,164 deaths) in the nonstroke belt region. In the stroke belt region, age-adjusted mortality rates due to all cardiovascular causes (average annual percentage change [AAPC] in mortality rates, −2.4; 95% CI, −2.8 to −2.0), IHD (AAPC, −3.8; 95% CI, −4.2 to −3.5), and stroke (AAPC, −2.8; 95% CI, −3.4 to −2.1) declined from 1999 to 2018. A similar decline in cardiovascular (AAPC, −2.5; 95% CI, −3.0 to −2.0), IHD (AAPC, −4.0; 95% CI, −4.3 to −3.7), and stroke (AAPC, −2.9; 95% CI, −3.2 to −2.2) mortality was seen in the nonstroke belt region. There was no overall change in heart failure mortality in both regions (PAAPC>.05). The cardiovascular mortality gap was 11.8% in 1999 and 15.9% in 2018, with a modest reduction in absolute mortality rate difference (~7 deaths per 100,000 persons). These patterns were consistent across subgroups of age, sex, race, and urbanization status. An estimated 101,953 additional cardiovascular deaths need to be prevented from 2020 to 2025 in the stroke belt to ameliorate the gap between the 2 regions. Conclusion Despite the overall decline, substantial geographic disparities in cardiovascular mortality persist. Novel approaches are needed to attenuate the long-standing geographic inequalities in cardiovascular mortality in the United States, which are projected to increase.

Background and Purpose: The impact of the coronavirus disease 2019 (COVID-19) pandemic on stroke systems has not been systematically evaluated. Our study aims to investigate trends in telestroke consults during the pandemic. Methods: We did retrospective chart review of consecutive patients seen through a telestroke network in South Carolina from March 2019 to April 2020. We dichotomized patients to preCOVID-19 pandemic (March 2019 to February 2020) and during COVID-19 pandemic (March to April 2020). Results: A total of 5852 patients were evaluated during the study period, 613 (10.5%) were seen during the pandemic. The median number of weekly consults dropped from 112 to 77 during the pandemic, P =0.002. There was no difference in baseline features; however, Black patients were less likely to present with strokes during the pandemic (13.9% versus 29%, P ≤0.002). Conclusions: The COVID-19 pandemic has led to a significant drop in telestroke volume. The impact seems to disproportionately affect Black patients.

Introduction A reduction of the hospitalization and reperfusion treatments was reported during COVID-19 pandemic. However, high variability in results emerged, potentially due to logistic paradigms adopted. Here, we analyze stroke code admissions, hospitalizations, and stroke belt performance for ischemic stroke patients in the metropolitan Bologna region, comparing temporal trends between 2019 and 2020 to define the impact of COVID-19 on the stroke network. Methods This retrospective observational study included all people admitted at the Bologna Metropolitan Stroke Center in timeframes 1 March 2019–30 April 2019 (cohort-2019) and 1 March 2020–30 April 2020 (cohort-2020). Diagnosis, treatment strategy, and timing were compared between the two cohorts to define temporal trends. Results Overall, 283 patients were admitted to the Stroke Center, with no differences in demographic factors between cohort-2019 and cohort-2020. In cohort-2020, transient ischemic attack (TIA) was significantly less prevalent than 2019 (6.9% vs 14.4%, p = .04). Among 216 ischemic stroke patients, moderate-to-severe stroke was more represented in cohort-2020 (17.8% vs 6.2%, p = .027). Similar proportions of patients underwent reperfusion (45.9% in 2019 vs 53.4% in 2020), although a slight increase in combined treatment was detected (14.4% vs 25.4%, p = .05). Door-to-scan timing was significantly prolonged in 2020 compared with 2019 (28.4 ± 12.6 vs 36.7 ± 14.6, p = .03), although overall timing from stroke to treatment was preserved. Conclusion During COVID-19 pandemic, TIA and minor stroke consistently reduced compared to the same timeframe in 2019. Longer stroke-to-call and door-to-scan times, attributable to change in citizen behavior and screening at hospital arrival, did not impact on stroke-to-treatment time. Mothership model might have minimized the effects of the pandemic on the stroke care organization.

Background Performance of Pooled Cohort Equations (PCEs) for atherosclerotic cardiovascular disease (ASCVD) risks varied across populations. Whether the recently developed Prediction for ASCVD Risk in China (China-PAR) model could accurately predict cardiovascular risks in real practice remains unclear. Methods A population-based cohort study in rural Beijing in the “stroke belt” in North China was used to externally validate PCE and China-PAR models for 5-year ASCVD risk prediction. Expected 5-year prediction risk using China-PAR model was compared with PCE (white). The models were assessed for calibration, discrimination, and reclassification. Results Among 11,169 adults aged 40 to 79 years over a median 6.44 years of follow-up, 1,921 participants developed a first ASCVD event during total 70,951 person-years. China-PAR model fairly predicted ASCVD risk in men but overestimated by 29.4% risk in women (calibration χ2 = 81.4, P Conclusions China-PAR outperformed PCE in 5-year ASCVD risk prediction in this rural Northern Chinese population at average population risk level, fairly predicted risk in men, but overestimated risk in women; however, China-PAR did not meaningfully improve the accuracy of discrimination and reclassification at individual risk level.

Background Dietary patterns and associations with incident heart failure (HF) are not well established in the United States. Objectives The purpose of this study was to determine associations of 5 dietary patterns with incident HF hospitalizations among U.S. adults. Methods The REGARDS (REasons for Geographic and Racial Differences in Stroke) trial is a prospective cohort of black and white adults followed from 2003 to 2007 through 2014. Inclusion criteria included completion of a food frequency questionnaire and no baseline coronary heart disease or HF. Five dietary patterns (convenience, plant-based, sweets, Southern, and alcohol/salads) were derived from principal component analysis. The primary endpoint was incident HF hospitalization. Results This study included 16,068 participants (mean age 64.0 ± 9.1 years, 58.7% women, 33.6% black participants, 34.0% residents of the stroke belt). After a median of 8.7 years of follow-up, 363 participants had incident HF hospitalizations. Compared with the lowest quartile, the highest quartile of adherence to the plant-based dietary pattern was associated with a 41% lower risk of HF in multivariable-adjusted models (hazard ratio: 0.59; 95% confidence interval: 0.41 to 0.86; p = 0.004). Highest adherence to the Southern dietary pattern was associated with a 72% higher risk of HF after adjusting for age, sex, and race and for other potential confounders (education, income, region of residence, total energy intake, smoking, physical activity, and sodium intake; hazard ratio: 1.72; 95% confidence interval: 1.20 to 2.46; p = 0.005). However, the association was attenuated and no longer statistically significant after further adjusting for body mass index in kg/m2, waist circumference, hypertension, dyslipidemia, diabetes mellitus, atrial fibrillation, and chronic kidney disease. No statistically significant associations were observed with incident HF with reduced or preserved ejection fraction hospitalizations and the dietary patterns. No associations were observed with the other 3 dietary patterns. Conclusions Adherence to a plant-based dietary pattern was inversely associated with incident HF risk, whereas the Southern dietary pattern was positively associated with incident HF risk.

ImportanceIn the last two decades, hypertension control in the U.S. population has not improved, and there are widening disparities. Less is known, however, about progress in reducing hospitalizations related to hypertensive emergencies.ObjectivesTo describe trends in national hospitalization rates for hypertensive emergencies, overall and by demographic and geographical subgroups.Design, Setting and, ParticipantsSerial cross-sectional analysis of Medicare fee-for-service beneficiaries aged 65 years or older between 1999 and 2019 using Medicare denominator and inpatient files.Main Outcome and MeasuresTrends in hospitalization for hypertensive emergencies, overall and by specific subgroups.ResultsThe sample consisted of 397,238 individual Medicare fee-for-service beneficiaries. From 1999 through 2019, the annual hospitalization rates for hypertensive emergencies increased significantly from 51.5 to 125.9 per 100,000 beneficiary-years; this increase was most pronounced among the following subgroups: adults ≥85 years (66.8 to 274.1), females (64.9 to 160.1), Blacks (144.4 to 369.5), and Medicare-Medicaid insured (dual eligible, 93.1 to 270.0). Across all subgroups, Black adults had the highest hospitalization rate in 2019, and there was a significant increase in the differences in hospitalizations between Blacks and Whites from 1999 to 2019. Marked geographic variation was also present, with the highest hospitalization rates in the South (so-called “Stroke Belt”). Among 3,143 counties and county-equivalents included in the study, less than 1% of counties either had no change (n=7) or decreased (n=20) hospitalization rates since 1999. Among patients hospitalized for a hypertensive emergency, the observed 30-day all-cause mortality rate decreased from 2.6% to 1.7% and 30-day all-cause readmission rate decreased from 15.7% to 11.8%.Conclusions and RelevanceAmong Medicare fee-for-service beneficiaries aged 65 years or older, hospitalization rates for hypertensive emergencies increased substantially and significantly from 1999 to 2019. Black adults had the largest increase in hospitalization rates across age, sex, race, and dual-eligible strata. There was significant national variation, with the highest rates generally in the South.KEY POINTSQuestionHow have hospitalization rate for hypertensive emergencies among US adults aged 65 years and older changed between 1999 and 2019 and are there any differences across demographic and geographical subgroups?FindingsIn this serial cross-sectional study that included 397,238 individual Medicare fee-for-service beneficiaries, there was a marked increase in hospitalization rates for hypertensive emergencies from 1999 to 2019, and this increase was most pronounced among Black adults across age, sex, race, and dual-eligible strata. Significant national variation was observed, with the highest hospitalization rates generally in the South.MeaningBetween 1999 and 2019, hospitalization rates for hypertensive emergencies increased substantially and differences across demographic and geographic subgroups persisted.

Purpose of Review A review of American history is presented to understand how public policy has contributed to a disproportionate burden of disease in members of underrepresented groups. A review of research conducted in the Stroke Belt provides an opportunity to examine more closely traditional and non-traditional risk factors in an effort to consider strategies for change. Recent Findings A diverse physician workforce has been offered as a way of improving care for our increasingly diverse populace. Given the expected increased prevalence of stroke in communities of color and the impact of stress from discrimination on health, proactive strategies to promote inclusion and equity to support diversity in perioperative neuroscience is warranted. Summary Public policy rooted in structural racism has left marginalized groups economically and educationally disadvantaged with less access to health care. Mistrust and fear from ongoing discrimination compels the neuroscience community to broaden their approach for developing a more reassuring and supportive educational environment for patients and trainees.

Purpose We examined the association of Stroke Belt birth state with late-life cognition in The Study of Healthy Aging in African Americans (STAR). Methods STAR enrolled 764 Black Americans ages 50+ who were long-term Kaiser Permanente Northern California members. Participants completed Multiphasic Health Check-ups (MHC; 1964–1985) where early-life overweight/obesity, hypertension, diabetes, and hyperlipidemia were measured. At STAR (2018), birth state, self-reported early-life socioeconomic status (SES), and executive function, verbal episodic memory, and semantic memory scores were collected. We used linear regression to examine the association between Stroke Belt birth and late-life cognition adjusting for birth year, gender, and parental education. We evaluated early-life SES and cardiovascular risk factors (CVRF) as potential mechanisms. Results Twenty-seven percent of participants were born in the Stroke Belt with a mean age of 69 (standard deviation = 9) at STAR. Stroke Belt birth was associated with worse late-life executive function (β [95% confidence interval]: −0.18 [−0.33, −0.02]) and semantic memory (−0.37 [−0.53, −0.21]), but not verbal episodic memory (−0.04 [−0.20, 0.12]). Adjustment for SES and CVRF attenuated associations of Stroke Belt birth with cognition (executive function [−0.05 {−0.25, 0.14}]; semantic memory [−0.28 {−0.49, −0.07}]). Conclusions Black Americans born in the Stroke Belt had worse late-life cognition than those born elsewhere, underscoring the importance of early-life exposures on brain health.

Introduction: The Southeastern United States, known as the “the stroke belt,” has the highest stroke mortality rate in the country. One possible reason is the high proportion of its residents living in rural areas. Studies suggest stroke care is worse for patients living in rural areas, and they are less likely to receive acute stroke therapy (intravenous thrombolysis or endovascular therapy), leading to worse outcomes. We compared 90-day modified Rankin Score (mRS) between patients living in urban versus rural areas who received acute stroke therapy. Methods: We performed a retrospective analysis of a tertiary care academic hospital in the Southeastern US, the University of Alabama at Birmingham. Patients admitted with imaging-confirmed ischemic stroke and had acute stroke therapy between 2014 and 2018 were included for analysis. Individuals were classified as rural or urban dwelling based on US Department of Agriculture’s 2010 Rural-Urban Commuting Area Codes. Clinical and demographic characteristics were collected from the chart. Stepwise logistic regression models were performed with these variables to compare good (mRS 0-1) vs poor (mRS 2-6) functional outcomes. Results: There were 232 patients included in the study (185 urban, and 47 rural). There were no significant differences between groups in age (urban 64.5±15.1; rural 66.2±14.7), gender (urban: 56% male 44% female, rural: 51% male 49% female), or proportion of African-Americans (33% of urban group and 25% of rural group). Mean baseline NIH stroke scale was higher in rural patients than urban (17.0 vs 14.8 respectively, p-value=0.03.). In logistical regression models for good functional outcome (mRS 0-1) at 90-days, analysis of factors including rural/urban status, gender, age, insurance, transfer, and acute stroke therapy, revealed only older age as a significant factor (OR 0.97, 95% CI 0.95-0.99). Conclusions: Our study demonstrated no significant differences in functional outcome between patients from urban and rural locations after receiving acute therapy for treating ischemic stroke. Importantly, only older age predicted poor functional outcome at 90 days. Our study demonstrates that patients from rural areas can recover similarly to those from urban areas.

Background and Purpose: Intracerebral hemorrhage (ICH) accounts for around 10% of stroke, but carries 50% of stroke mortality. ICH characteristics and prognostic factors specific to the Stroke Belt are not well defined by race. Methods: Records of patients admitted to the University of Alabama Hospital with ICH from 2017 to 2019 were reviewed. We examined the association of demographics; clinical and radiographic features including stroke severity, hematoma volume, and ICH score; and transfer status with in-hospital mortality and discharge functional status for a biracial population including Black and White patients. Independent predictors of in-hospital mortality and functional outcome were examined using logistic regression. Results: Among the 275 ICH cases included in this biracial analysis, Black patients (n = 114) compared to White patients (n = 161) were younger (60.6 vs. 71.4 years, P < 0.0001), more often urban (81% vs. 64%, P < 0.01), more likely to have a history of hypertension (87% vs. 71%, P < 0.01), less often transferred (44% vs. 74%, P < 0.01), and had smaller median initial hematoma volumes (9.1 vs. 12.6 mL, P = 0.041). On multivariable analysis, Glasgow Coma Scale (GCS) for White patients (OR 13.0, P < 0.0001), hyperlipidemia for Black patients (OR 13.9, P = 0.019), and ICH volume for either race (Black patients: OR 1.05, P = 0.03 and White patients: OR 1.04, P < 0.01) were independent predictors of in-hospital mortality. Conclusions: Hypertension is more prevalent among Black ICH patients in the Stroke Belt. The addition of hyperlipidemia to the ICH score model improved the prediction of mortality for Black ICH patients. No differences in in-hospital mortality or poor functional outcome were observed by race.

The Southern dietary pattern, derived within the REasons for Geographic And Racial Differences in Stroke (REGARDS) cohort, is characterised by high consumption of added fats, fried food, organ meats, processed meats and sugar-sweetened beverages and is associated with increased risk of several chronic diseases. The aim of the present study was to identify characteristics of individuals with high adherence to this dietary pattern. We analysed data from REGARDS, a national cohort of 30 239 black and white adults ≥45 years of age living in the USA. Dietary data were collected using the Block 98 FFQ. Multivariable linear regression was used to calculate standardised beta coefficients across all covariates for the entire sample and stratified by race and region. We included 16 781 participants with complete dietary data. Among these, 34·6 % were black, 45·6 % male, 55·2 % resided in stroke belt region and the average age was 65 years. Black race was the factor with the largest magnitude of association with the Southern dietary pattern (Δ = 0·76 sd, P < 0·0001). Large differences in Southern dietary pattern adherence were observed between black participants and white participants in the stroke belt and non-belt (stroke belt Δ = 0·75 sd, non-belt Δ = 0·77 sd). There was a high consumption of the Southern dietary pattern in the US black population, regardless of other factors, underlying our previous findings showing the substantial contribution of this dietary pattern to racial disparities in incident hypertension and stroke.

[Objective] Spain’s so-called Stroke Belt is an area with high prevalence of vascular disease. We aimed to determine the prevalence of undetected obstructive sleep apnea–hypopnea syndrome (OSAHS) among patients with acute ischemic stroke (AIS) in southern Spain., [Methods] We conducted a cross-sectional study at the Virgen Macarena University Hospital Stroke Unit during 2018 to 2019. We included patients, [Results] Seventy-two patients were included. The median participant age was 72 years. Mean body mass index was 27.07 kg/m2, and 40.28% were daily alcohol drinkers. Hypertension, atrial fibrillation, ischemic cardiomyopathy, and previous stroke were detected in 63.9%, 11.1%, 15.3%, and 17.6% of patients, respectively. Polygraphy was feasible in 91.38% of patients. The prevalence of OSAHS was 84.72% (apnea–hypopnea index ≥5). Patients with moderate and severe OSAHS were more likely to be obese and to have a larger neck circumference and facial palsy. The diagnostic criteria of central sleep apnea syndrome were met in only 1.38% of patients., [Conclusions] The high prevalence of OSAHS found in the Spanish Stroke Belt justifies further investigation and development of a screening program as a strategy to identify patients with undetected OSAHS., The authors disclosed receipt of the following financial support for the research, authorship and/or publication of this article: This work was supported by the Neurovascular Research Group, part of the Cooperative Cerebrovascular Disease Research Network (INVICTUS+) (RD16/0019/0015).

Objective: As compared to whites, the black population develops hypertension (HTN) at an earlier age, has a greater frequency and severity of HTN, and has poorer control of blood pressure (BP). Traditional practices and treatment efforts have had minor impact on these disparities, with over a 2-fold higher death rate currently for blacks as compared to whites. The University of Mississippi Medical Center (UMC) is located in the southeastern US and the Stroke Belt, which has higher rates of HTN and related diseases as compared to the rest of the country.Methods: We retrospectively analyzed the UMC's Research Data Warehouse, containing >30 million electronic health records from >900,000 patients to determine the initial BP response following the first prescribed antihypertensive drug.Results: There were 5,973 white (45% overall HTN prevalence) and 10,731 black (57% overall HTN prevalence) patients who met criteria for the study. After controlling for age, BMI, and drug dosage, black males were overall less likely to have controlled BP (defined as < 140/90 mmHg) and were associated with smaller falls in BP as compared to whites and black females. Blockers of the renin-angiotensin system (RAS) failed to significantly improve odds of HTN control vs. the untreated group in black patients. However, our data suggests that these drugs do provide significant benefit in blacks when combined with THZ, as compared to untreated and as compared to THZ alone.Conclusion: These data support the use of a single-pill formulation with ARB or ACE inhibitor with a thiazide in blacks for initial first-line HTN therapy and suggests that HTN treatment strategies should consider both race and gender. Our study gives a unique insight into initial antihypertensive responses in actual clinical practice and could have an impact in BP control efficiency in a state with prevalent socioeconomic and racial disparities.

Background Stroke is a chronic cardiovascular disease that puts major stresses on U.S. health and economy. The prevalence of stroke exhibits a strong geographical pattern at the state-level, where a cluster of southern states with a substantially higher prevalence of stroke has been called the stroke belt of the nation. Despite this recognition, the extent to which key neighborhood characteristics affect stroke prevalence remains to be further clarified. Methods We generated a new neighborhood health data set at the census tract level on nearly 27,000 tracts by pooling information from multiple data sources including the CDC’s 500 Cities Project 2017 data release. We employed a two-stage modeling approach to understand how key neighborhood-level risk factors affect the neighborhood-level stroke prevalence in each state of the US. The first stage used a state-of-the-art Bayesian machine learning algorithm to identify key neighborhood-level determinants. The second stage applied a Bayesian multilevel modeling approach to describe how these key determinants explain the variability in stroke prevalence in each state. Results Neighborhoods with a larger proportion of older adults and non-Hispanic blacks were associated with neighborhoods with a higher prevalence of stroke. Higher median household income was linked to lower stroke prevalence. Ozone was found to be positively associated with stroke prevalence in 10 states, while negatively associated with stroke in five states. There was substantial variation in both the direction and magnitude of the associations between these four key factors with stroke prevalence across the states. Conclusions When used in a principled variable selection framework, high-performance machine learning can identify key factors of neighborhood-level prevalence of stroke from wide-ranging information in a data-driven way. The Bayesian multilevel modeling approach provides a detailed view of the impact of key factors across the states. The identified major factors and their effect mechanisms can potentially aid policy makers in developing area-based stroke prevention strategies.

The purpose of this Special Communication is to discuss the rationale and design of the Movement Matters Activity Program for Stroke (MMAP) and explore implementation successes and challenges in home health and outpatient therapy practices across the stroke belt state of North Carolina. MMAP is an interventional component of the Comprehensive Postacute Stroke Services Study, a randomized multicenter pragmatic trial of stroke transitional care. MMAP was designed to maximize survivor health, recovery, and functional independence in the community and to promote evidence-based rehabilitative care. MMAP provided training, tools, and resources to enable rehabilitation providers to (1) prescribe physical activity and exercise according to evidence-based guidelines and programs, (2) match service setting and parameters with survivor function and benefit coverage, and (3) align treatment with quality metric reporting to demonstrate value-based care. MMAP implementation strategies were aligned with the Expert Recommendations for Implementing Change project, and MMAP site champion and facilitator survey feedback were thematically organized into the Consolidated Framework for Implementation Research domains. MMAP implementation was challenging, required modification and was affected by provider- and system-level factors. Program and study participation were limited and affected by practice priorities, productivity standards, and stroke patient volume. Sites with successful implementation appeared to have empowered MMAP champions in vertically integrated systems that embraced innovation. Findings from this broad evaluation can serve as a road map for the design and implementation of other comprehensive, complex interventions that aim to bridge the currently disconnected realms of acute care, postacute care, and community resources.

Background Studying critical time interval requirements can enhance thrombolytic treatment for stroke patients in telestroke networks. We retrospectively examined 12 concurrent months of targeted time interval information in the South Central US telemedicine programme, Arkansas Stroke Assistance through Virtual Emergency Support (AR SAVES). Hypothesis: We hypothesised that consult data analysis would highlight areas for improvement to shorten overall door to Intra venous (IV) tissue plasminogen activator (tPA) administration time. Methods We analysed critical time targets for 238 consecutive telestroke neurology consults obtained over 12 months from AR SAVES spoke sites when tPA was administered. The following time intervals were analysed: emergency department (ED) door to Computed Tomography (D-CT); ED door to call centre (D-CC) for initiation of consult; ED door to neurology call (D-NC); neurology call to camera (NC-Cam); tele consult time (Con); ED door to tissue plasminogen activator (tPA)/needle (DTN). Results The median times of D-CT (13 min, inter quartile range (IQR) 6–22 min), D-CC (34 min, IQR 20–45 min), D-NC (40 min, IQR 21–71 min), NC-Cam (4 min, IQR 2–8 min), and Con (25 min, IQR 17–37 min) all contributed to a DTN median time of 71 min (IQR 50–104 min). A total of 238 patients received tPA with a 29.4% treatment rate and a DTN time of ≤60 min was achieved in 25.2% of patients. Conclusions Focusing on reducing D-CC and Con times may help to achieve the DTN time of

This project used a retrospective case series design to investigate factors associated with stroke in a rural area in Appalachian Kentucky. The south-eastern region of the U.S. is often referred to as the ‘stroke belt,’ and includes the Appalachian region of the state of Kentucky. Data were collected from medical records of patients from a neurology practice and regional hospital with a diagnosis of stroke from March 2012 through November 2015. Data were collected without personal identifiers and included demographic characteristics, stroke type, treatments received, and referrals for additional care including rehabilitation. Data from a total of 84 stroke cases diagnosed between March 2012 and November 2015 were included. Of the 84 cases, 46 (54.8%) were female and all but one was Caucasian. The distribution by race is consistent with the population of the region. The stroke cases ranged in age from 41 to 92 (M=66.3) and the age at stroke diagnosis ranged from 40 to 90 (M=65.7). Fourteen (16.7%) had evidence of a previous stroke at diagnosis. For smokers, the mean age at diagnosis was 62.7 for smokers while for non-smokers it was 67.5. The study reported smoking rates that were nearly three-times the national average, and the smokers in this study were found to have stroke onset approximately five-years earlier than non-smokers. The results from this case series support the need for further investigation on stroke prevalence and factors contributing to continued risk for stroke in Appalachia.

Strokes are a leading cause of morbidity and mortality in the United States, especially in the "stroke belt" of the southeast. Up to 65% of stroke patients access care by calling 9-1-1. The primary objective of this study is to measure the accuracy of emergency medical dispatchers (EMD) and paramedics, in the prehospital identification of stroke.The study was based at Grady Emergency Medical Services, which is Atlanta, Georgia's public emergency medical services (EMS) provider. A retrospective analysis of all medically related 9-1-1 calls to Grady EMS classified as "stroke" between January 1, 2012, and December 31, 2012 was performed. A database was created using deterministic linkage between records from Grady EMS, Grady Hospital Emergency Department (ED), and the Grady Hospital Stroke Registry. Patients excluded were less than 18 years of age, had previous or concurrent head injuries, were transferred from another inpatient facility, and/or had incomplete patient records in any one of the three databases. Descriptive analysis, linear regression, and logistic multivariable regression were performed to discover the accuracy of stroke identification and contributory prehospital factors.A total of 548 patients were included: 475 were transported with EMS impression of stroke and 73 with an impression other than stroke. The median age was 59 years, 87.4% were black, and 52.6% were female. Paramedics adhered to all seven elements of the Grady EMS stroke protocol in 76.4% (n = 363) of suspected stroke cases. Sensitivity and positive predictive value for paramedic stroke identification was 76.2% and 49.3%, respectively, and for EMD, was 48.9% and 24%, respectively. Identification of hemorrhagic strokes had a relatively lower sensitivity. Paramedics were more likely to positively identify strokes when the Cincinnati Prehospital Stroke Scale (CPSS) screen was positive, or when classified by EMD as stroke. Paramedics were less likely to identify stroke in female patients. Paramedics' diagnostic accuracy was similar regardless of their adherence to the EMS stroke care protocol.EMD and EMS personnel in a large city in the Southeastern United States, with high stroke prevalence, had a relatively high sensitivity in identifying acute stroke patients. Paramedic accuracy was augmented by positive CPSS screening and by EMD recognition of stroke.

In the United States, stroke incidence and related mortality have declined in the past half century.1,2 This drop is largely because of better recognition and control of modifiable cardiovascular disease risk factors.3,4 There remain significant racial disparities however, and studies and surveillance programs consistently show higher rates of stroke and stroke-related mortality in native born blacks when compared with non-Hispanic whites (NHW).5–9 Nowhere is this racial disparity more evident than in the stroke belt, an area in the Southeastern United States with disproportionately high rates of stroke.10–12 Although a higher prevalence of cardiovascular disease risk factors, specifically hypertension, diabetes mellitus, obesity, and cigarette smoking, account for much of the excess stroke risk, it remains unclear why these cardiovascular comorbidities, and other lifestyle-related risk factors, cluster in this region of the United States, particularly in blacks.13–15 Multiple explanations have been proposed, but the medical community has yet to offer a fully satisfactory explanation for what is driving stroke mortality in the ≈700 hot spot counties of the stroke belt.16 A clue is that these counties also have higher proportions of black residents and unemployment, as well as lower educational status, median income, and healthcare use.16 While often ignored in the medical literature, a history of slavery, and ongoing social segregation, racial discrimination, and economic inequality, provide a historical precedent for the phenotype of poor cardiovascular health observed in several predominantly black communities. Although many reports depict the racial disparities and skew in stroke risk factors in this region of the United States, a PubMed search using the words slavery, slave, stroke, stroke belt, and cardiovascular disease returned no relevant articles. Our goal is to review the historical evidence and test the strength of association …

BackgroundM2 occlusions may result in poor outcomes and potentially benefit from endovascular therapy. Data on the rate of M2 strokes is lacking.MethodologyPatients with acute ischemic stroke discharged over a period of 3 years from a tertiary level hospital in the ‘stroke belt’ were evaluated for M2 occlusions on baseline vascular imaging. Regional and national incidence was calculated from discharge and multicounty data.ResultsThere were 2739 ICD-9 based AIS discharges. M2 occlusions in 116 (4%, 95% CI 3.5% to 5%) patients constituted the second most common occlusion site. The median National Institute of Health Stroke Scale (NIHSS) score was 12 (IQR 5–18). Good outcomes were observed in 43% (95% CI 34% to 53%), poor outcomes in 57% (95% CI 47% to 66%), and death occurred in 27% (95% CI 19% to 37%) of patients. Receiver operating characteristics curves showed the NIHSS to be predictive of outcomes (area under the curve 0.829, 95% CI 0.745 to 0.913, p3 for NIHSS score ≥9 versus 30 (±34)cm3 for NIHSS score ConclusionM2 occlusions can present with serious neurological deficits and cause significant morbidity and mortality. Patients with M2 occlusions and higher baseline deficits (NIHSS score ≥9) may benefit from endovascular therapy, thus potentially expanding the category of acute ischemic strokes amenable to intervention.

The disparities in stroke mortality between blacks and whites, as well as the increased stroke mortality in the "stroke belt" have long been noted. The reasons for these disparities have yet to be fully explained. The association between trace element status and cardiovascular diseases, including stroke, has been suggested as a possible contributor to the disparities in stroke mortality but has not been fully explored. The purpose of this study is to investigate distributions of four trace elements (arsenic, mercury, magnesium, and selenium) in the environment in relation to stroke risk. The study population (N=27,770) is drawn from the Reasons for Geographic and Racial Disparities in Stroke (REGARDS) cohort. Environmental distribution of each trace element was determined using data from the United States Geological Survey (USGS) and was categorized in quartiles. A proportional hazards model, adjusted for demographic data and stroke risk factors, was used to examine the association of interest. The results showed that higher selenium levels in the environment were associated with increased stroke risk, and the hazard ratio for the 4th quartile compared to the 1st quartile was 1.33 (95% CI: 1.09, 1.62). However, there was no statistically significant relationship between environmental arsenic, mercury or magnesium and the risk of stroke. Because of dietary and non-dietary exposure as well as bioavailability, further research using biomarkers is warranted to examine the association between these trace elements and the risk of stroke.

Purpose To examine racial differences in healthcare utilization and costs for persons with aphasia (PWA) being treated in acute care hospitals in North Carolina (NC). Methods NC Healthcare Cost and Utilization Project State Inpatient Database (HCUP-SID) data from 2011–2012 were analyzed to examine healthcare utilization and costs of care for stroke patients with aphasia. Analyses emphasized length of stay, charges and cost of general hospital services. Generalized linear models (GLM) were constructed to determine the impact of demographic characteristics, stroke/illness severity, and observed hospital characteristics on utilization and costs. Hospital fixed effects were included to yield within-hospital estimates of disparities. Results GLM models demonstrated that Blacks with aphasia experienced 1.9 days longer lengths of stay compared to Whites with aphasia after controlling for demographic characteristics, 1.4 days controlling for stroke/illness severity, 1.2 days controlling for observed hospital characteristics, and ~ 1 extra day controlling for unobserved hospital characteristics. Similarly, Blacks accrued ~$2047 greater total costs compared to Whites after controlling for demographic characteristics, $1659 controlling for stroke/illness severity, $1338 controlling for observed hospital characteristics, and ~$1311 greater total costs after controlling for unobserved hospital characteristics. Conclusions In the acute hospital setting, Blacks with aphasia utilize greater hospital services during longer hospitalizations and at substantially higher costs in the state of NC. A substantial portion of the adjusted difference was related to the hospital treating the patient. However, even after controlling for the hospital, the differences remained clinically and statistically significant.