COVID-19-related state-wise racial and ethnic disparities across the USA: an observational study based on publicly available data from The COVID Tracking Project

Objective To evaluate COVID-19 infection and mortality disparities in ethnic and racial subgroups in a state-wise manner across the USA. Methods Publicly available data from The COVID Tracking Project at The Atlantic were accessed between 9 September 2020 and 14 September 2020. For each state and the District of Columbia, % infection, % death, and % population proportion for subgroups of race (African American/black (AA/black), Asian, American Indian or Alaska Native (AI/AN), and white) and ethnicity (Hispanic/Latino, non-Hispanic) were recorded. Crude and normalised disparity estimates were generated for COVID-19 infection (CDI and NDI) and mortality (CDM and NDM), computed as absolute and relative difference between % infection or % mortality and % population proportion per state. Choropleth map display was created as thematic representation proportionate to CDI, NDI, CDM and NDM. Results The Hispanic population had a median of 158% higher COVID-19 infection relative to their % population proportion (median 158%, IQR 100%–200%). This was followed by AA, with 50% higher COVID-19 infection relative to their % population proportion (median 50%, IQR 25%–100%). The AA population had the most disproportionate mortality, with a median of 46% higher mortality than the % population proportion (median 46%, IQR 18%–66%). Disproportionate impact of COVID-19 was also seen in AI/AN and Asian populations, with 100% excess infections than the % population proportion seen in nine states for AI/AN and seven states for Asian populations. There was no disproportionate impact in the white population in any state. Conclusions There are racial/ethnic disparities in COVID-19 infection/mortality, with distinct state-wise patterns across the USA based on racial/ethnic composition. There were missing and inconsistently reported racial/ethnic data in many states. This underscores the need for standardised reporting, attention to specific regional patterns, adequate resource allocation and addressing the underlying social determinants of health adversely affecting chronically marginalised groups

The Significance of Thallium-201-Chloride SPECT Myocardial Perfusion Imaging in the Management of Patients With Stable Chronic Coronary Artery Disease

Background: Patients with stable coronary artery disease (CAD) can be evaluated for myocardial viability by examining reverse redistribution of Thallium-201 (201TI) through cardiac scintigraphy. There is limited knowledge about association of a reverse redistribution with favorable cardiac outcomes. In this study, we hypothesized that higher left ventricular ejection fraction (LVEF), lower myocardial necrosis, fewer ischemic events, and less angina will be associated with reverse redistribution of 201TI imaging. Methods: Adult patients with stable CAD included in this study underwent exercise-redistribution Thallium single-photon emission computed tomography (SPECT) and were followed for one year. LVEF and regional wall motion abnormalities were evaluated with echocardiography, exercise duration by bicycle testing, and myocardial ischemia and viability by Thallium SPECT. Results: We studied 159 patients (87 men, 72 women, median age 60 years, range: 38-84) with well-developed collaterals. Those with reverse redistribution on SPECT (n = 61, 38.3%) had significantly better exercise tolerance (⩾85%; P \u3c .001). Subjects with reverse redistribution had better LVEF (P \u3c .001), wall motion parameters (P \u3c .001), a lower degree of myocardial necrosis (P \u3c .05), less angina during follow-up (P = .02), and fewer ischemic events whether treated with OMT or PCI (P \u3c .001). Conclusions: Reverse redistribution of 201Tl on scintigraphic images is a predictor of myocardial viability. Evidence from our study suggests that optimally treated chronic CAD patients with reverse redistribution may have lower likelihood of future adverse cardiovascular events and better prognosis

Atherosclerotic Cardiovascular Disease, Cancer, and Financial Toxicity Among Adults in the United States

BACKGROUND Financial toxicity (FT) is a well-established side-effect of the high costs associated with cancer care. In recent years, studies have suggested that a significant proportion of those with atherosclerotic cardiovascular disease (ASCVD) experience FT and its consequences. OBJECTIVES This study aimed to compare FT for individuals with neither ASCVD nor cancer, ASCVD only, cancer only, and both ASCVD and cancer. METHODS From the National Health Interview Survey, we identified adults with self-reported ASCVD and/or cancer between 2013 and 2018, stratifying results by nonelderly (age \u3c65 \u3eyears) and elderly (age $65 years). We defined FT if any of the following were present: any difficulty paying medical bills, high financial distress, cost-related medication nonadherence, food insecurity, and/or foregone/delayed care due to cost. RESULTS The prevalence of FT was higher among those with ASCVD when compared with cancer (54$3 of these factors was significantly higher among those with ASCVD and those with both ASCVD and cancer when compared with those with cancer (23% vs. 30% vs. 13%, respectively; p\u3c 0.001). These results remained similar in the elderly population. CONCLUSIONS Our study highlights that FT is greater among patients with ASCVD compared with those with cancer, with the highest burden among those with both conditions

Theory of Gender and Power: Intimate Partner Violence, HIV Status and Sexual Risk Behaviors in Haitian Women

Among women in Haiti, there are a number of factors, including intimate partner violence (IPV), childhood sexual abuse, and alcohol abuse that lead to increased vulnerability to STI/HIV and its sequelae. This study examined the factors associated with IPV and the associations between IPV and HIV in a sample of adult Haitian women. The current study is a secondary analysis of data collected from HIV+ and HIV- women attending the GHESKIO centers in Haiti. The measures include: Self-reported Questionnaire-20 (SRQ-20); Attitudes Towards Gender Roles; Partner Violence; Alcohol Use Disorders Identification Test (AUDIT); Partner Support; Sexual Relationship Power Scale (SRPS); Centers for Epidemiological Studies Depression Scale (CES-D); the State-Trait Anxiety Inventory (STAI); and, Vaginal Episode Equivalent (VEE). Descriptive statistics were used for demographic characteristics. Pearson correlations, t-Test, Generalized linear model, Logistic regressions, and Generalized linear mixed models were used for estimating the strength of associations. The mean (SD) age of the participants was 25.5 (5.4) years. Approximately 68.4% had some secondary school education and only 0.9% had a college or professional degree. The majority of participants (82.2%) had a partner, but did not live with them. Generalized linear mixed modelling showed that lack of family support (β = 0.28, p \u3c 0.05), history of childhood sexual abuse (β = 0.66, p \u3c 0.05), and traditional gender-based attitudes (β = 0.10, p \u3c 0.001) predicted major IPV. Results from logistic regression analysis showed that age at sexual debut (AOR: 0.745; 95% CI: 0.585, 0.948) and physical violence (AOR: 3.482; 95% CI: 2.316, 5.235) were significantly associated with HIV seropositive status. Generalized linear mixed modelling analysis showed that decreased relationship control subscale scores (β = -0.26, p \u3c 0.05) and alcohol use problems (β = 0.18, p \u3c 0.05) were significantly associated with high levels of risky sexual behaviors over time. In summary, a history of IPV was significantly associated with traditional gender based attitudes, history of childhood sexual abuse, and lack of family support. History of IPV and age of first sexual experience were significantly associated with HIV seropositive status. Finally, relationship control and alcohol use problems were significantly associated with sexual risk behavior. These findings indicate potential areas of further study and intervention among Haitian women

Assessing factors affecting the flexural behavior of metallic foam in-filled sandwich panel

194-199The performances of metallic foam are required to improve under flexural loading condition to fulfill the industrial need. In the present work existing literature has been evaluated to understand the factors (foam density, span length, aspect ratio of test specimen, foam core and face sheet thickness) affecting flexural property of foam in-filled sandwich panel. Delamination of foam in-filled sandwich panel has been reported as the major failure mode during the flexural test. It has also been reported that the metallic bonding between metallic foam and face sheet avoid the chance of delamination under flexural loading conditions. There is also a need to have standard test procedure and standard test geometry to evaluate flexural property of metallic foam in-filled sandwich panel. Its evaluation using FEM based techniques are also reported in brief

Electronic Cigarette Use Prevalence, Associated Factors, and Pattern by Cigarette Smoking Status in the United States From NHANES (National Health and Nutrition Examination Survey) 2013-2014

BACKGROUND: To examine the prevalence and patterns of recent electronic cigarette (e-cigarette) use in a nationally representative sample of US adults and adolescents. METHODS AND RESULTS: Using tobacco information from NHANES (National Health and Nutrition Examination Survey) 2013-2014, 5423 adults and 895 adolescents (aged 13-17 years) were included in this analysis. Demographic, tobacco use, and drug use information were self-reported. Recent e-cigarette use (within the previous 5 days) was stratified by smoking status. Of 125 e-cigarette users, 116 participants were aged ≥18 years, corresponding to 2.6% (95% confidence interval [CI], 2.0-3.1) and 1.21% (95% CI, 0.3-2.1) prevalence of e-cigarette use among US adults and adolescents, respectively. E-cigarette adult users were current smokers (68.1%), former smokers (23.7%), and never smokers (8.2%). The highest prevalence of e-cigarette use was among current smokers (8.2%; 95% CI, 6.3-10.1), followed by former smokers (2.7%; 95% CI, 1.4-4.1), and then never smokers (0.4%; 95% CI, 0.2-0.6). After adjusting for age, sex, and ethnicity, e-cigarette users had higher odds of being exposed to secondhand smoke (odds ratio: 6.3; 95% CI, 3.6-11.1) and drinking alcohol (odds ratio: 4.2; 95% CI, 1.8-10.0) and lower odds of having at least a college education or a higher income, compared with tobacco nonusers. CONCLUSIONS: Between 2013 and 2014, e-cigarette use in the United States was more common among younger people, those with low socioeconomic status, and current and former smokers. These findings will help inform future research as well as public policy and regulatory actions

Public health in the twenty-first century: the role of advanced technologies

Nearly a century ago, Charles-Edward Amory Winslow, defined public health as “the science and art of preventing disease, prolonging life, and promoting health and efficiency through organized community effort” (1). From health policy reforms to scientific advances with many technological innovations, a range of forces are converging to cause a seismic shift in how public health is practiced. We think that in the twenty-first century, global public health system will be completely restructured. Reliance on complex technologies like nanotechnology and artificial intelligence (AI), which were previously only used in fields like computer science and physics, will become the new trend. Using such advanced technologies would become megatrends of public health in new and exciting ways. Historically, public health, in comparison to other scientific disciplines, has been behind the curve in terms of using advanced technologies (2). This article highlights the current trends in public health in terms of use of advanced technologies like nanotechnology and AI and how they can impact the future of public health in the twenty-first century

Performance of A Metabolomic Biomarker Score Compared to Three Prognostic Scores in Chronic Heart Failure

The Cardiac Lipid Panel (CLP) is a novel panel of metabolomic biomarkers that has previously shown to improve the diagnostic and prognostic value for CHF patients. Several prognostic scores have been developed for cardiovascular disease (CVD) risk, but their use is limited to specific populations and precision is still inadequate. We compared a risk score using the CLP plus NT-proBNP to three commonly used risk scores: The Seattle Heart Failure Model (SHFM), Framingham Risk Score (FRS), and Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score. We included 280 elderly CHF patients from the Cardiac Insufficiency Bisoprolol Study in Elderly (CIBIS-ELD) trial. Cox Regression and hierarchical cluster analysis was performed. Integrated area under the curves (IAUC) was used as criterium for comparison. The mean (SD) follow-up period was 81 (33) months, and 95 (34%) subjects met the primary endpoint. The IAUC for FRS was 0.53, SHFM 0.61, MAGGIC 0.68, and CLP 0.78. Subjects were partitioned into three risk clusters: low, moderate, high with the CLP score showing the best ability to group patients into their respective risk cluster. A risk score composed of a novel panel of metabolite biomarkers plus NT-proBNP outperformed other common prognostic scores in predicting 10-year cardiovascular death in elderly ambulatory CHF patients. This approach could improve the clinical risk assessment of CHF patients. Keywords: CLP, CHF, chronic, prognosti