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Objectives: Several stroke assessments have been designed for Emergency Medical Services to identify stroke patients with large vessel occlusion in the prehospital setting. The Rapid Arterial oCclusion Evaluation scale was developed in Spain, yet only few United States-based studies have confirmed findings from Spain. This study was designed to determine if the Rapid Arterial oCclusion Evaluation scale is a valid prehospital stroke assessment for identifying large vessel occlusion patients in South Carolina, USA.Materials and Methods: The performance of the Rapid Arterial oCclusion Evaluation scale was determined by calculating the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy at each score. The discriminative power of the Rapid Arterial oCclusion Evaluation score was evaluated using receiver operator characteristics. Comparison of the Rapid Arterial oCclusion Evaluation Scale to the National Institute of Health Stroke Scale was assessed using the Spearman's coefficient.Results: The Rapid Arterial oCclusion Evaluation scale had an acceptable discriminative power (c = 0.71). A score of ≥5 had a sensitivity of 0.71, specificity of 0.65, positive predictive value of 0.24, negative predictive value of 0.93, and accuracy of 0.66. There was a significant correlation between the Rapid Arterial Cclusion Evaluation score and the National Institute of Health Stroke Scale (rho = 0.60).Conclusion: The Rapid Arterial oCclusion Evaluation scale performed comparably to the National Institute of Health Stroke Scale in South Carolina; however, performed lower than Spain. Future studies should investigate patient demographics and emergency medical services training to determine if these variables contribute to the results found in this study. [ABSTRACT FROM AUTHOR]

The article presents a study which investigates the stroke and dementia mortality rates among African Americans and White Americans born in the U.S. Stroke Belt (SB) states. National mortality records were linked with population data to calculate cause-specific mortality rates in 2000. It was found that states with higher stroke mortality have higher risk of Alzheimer's Disease (AD) mortality rates. It adds that dementia mortality rates have similar geographic patterns as stroke mortality.

Stroke risk factors are routinely assessed in community screening programs; however, the rate of patient follow-up for health care once risk factors are identified is known to be low. This study was conducted to test the effectiveness of a brief behavioral telephonic intervention in an ongoing community stroke prevention screening program on health care seeking for stroke risk. A total of 227 participants with 2 or more stroke risk factors were randomly allocated to either an attention control arm or a behavioral intervention arm. The control group received standard information on risk and advice, whereas the intervention group received a brief Health Belief Model telephonic intervention designed to motivate care-seeking. The effect of treatment on the participants who completed a health care visit for stroke risk concerns was assessed using logistic regression. Cox survival analysis was used to compare time to physician visit between the 2 groups. Participants in the intervention arm were 1.85 times more likely to visit a primary care physician than controls. At 3 months, 69.2% of subjects in the intervention arm and 52.9% of those in the controls arm reported a new primary care visit after screening (P = .02), with 56.0% in the intervention arm and 38.4% in the control arm reporting a primary care visit specifically to discuss the stroke screening results (P < .01). Our data indicate that the brief, low-cost, motivational intervention effectively promoted adherence to screening advice and merits further testing. [Copyright &y& Elsevier]

Background: The Stroke Belt is a region of the United States with elevated stroke incidence and prevalence of stroke risk factors. Physical inactivity is an important stroke risk factor, but little is known about whether current physical activity levels differ between Stroke Belt and non-Stroke Belt states. In this nationally representative study, we determined whether unadjusted and adjusted physical activity levels differ between the Stroke Belt region and the rest of the United States.Methods: Using 2017 Behavioral Risk Factor Surveillance System data, we conducted bivariate analyses to obtain unadjusted physical activity levels in Stroke Belt and non-Stroke Belt states. Logistic regressions that controlled for sociodemographic and stroke risk factors were created to estimate adjusted associations between Stroke Belt residence and physical activity.Results: A higher percentage of Stroke Belt residents were inactive (Stroke Belt: 35.3%, non-Stroke Belt: 29.4%) and failed to meet physical activity guidelines (Stroke Belt: 53.7%, non-Stroke Belt: 47.8%) compared to non-Stroke Belt residents. Stroke Belt residence was significantly associated with lower odds of meeting physical activity guidelines in a model that adjusted for sociodemographic factors only (odds ratio [OR]: 0.85, 95% confidence interval [CI]: 0.78-0.91) and one that adjusted for both sociodemographic and stroke risk factors (OR: 0.87, 95% CI: 0.81-0.93).Conclusions: The considerably lower physical activity levels and likelihood of meeting physical activity guidelines in Stroke Belt residents compared to their non-Stroke Belt counterparts demonstrates a need for clinician attention and public health interventions to increase regular physical activity as part of a stroke reduction strategy in this region. [ABSTRACT FROM AUTHOR]