Epidemiology of the 2020 pandemic of COVID-19 in the state of Georgia: Inadequate critical care resources and impact after 7 weeks of community spread.

Objectives: Novel coronavirus (COVID-19) is a global pandemic currently spreading rapidly across the United States. We provide a comprehensive look at COVID-19 epidemiology across the state of Georgia, which includes vast rural communities that may be disproportionately impacted by the spread of this infectious disease. Methods: All 159 Georgia counties were included in this study. We examined the geographic variation of COVID-19 in Georgia from March 3 through April 24, 2020 by extracting data on incidence and mortality from various national and state datasets. We contrasted county-level mortality rates per 100,000 population (MRs) by county-level factors. Results: Metropolitan Atlanta had the overall highest number of confirmed cases; however, the southwestern rural parts of Georgia, surrounding the city of Albany, had the highest bi-weekly increases in incidence rate. Among counties with >10 cases, MRs were highest in the rural counties of Randolph (233.2), Terrell (182.5), Early (136.3), and Dougherty (114.2). Counties with the highest MRs (22.5-2332 per 100,000) had a higher proportion of: non-Hispanic Blacks residents, adults aged 60+, adults earning <$20,000 annually, and residents living in rural communities when compared with counties with lower MRs. These counties also had a lower proportion of the population with a college education, lower number of ICU beds per 100,000 population, and lower number of primary care physicians per 10,000 population. Conclusions: While urban centers in Georgia account for the bulk of COVID-19 cases, high mortality rates and low critical care capacity in rural Georgia are also of critical concern.

Strategies and Lessons Learned from a Home Delivery Food Prescription Program for Older Adults.

Food insecurity (FI) is a growing health problem, worsening during the COVID-19 pandemic. Fresh food prescription programs (FFRx) have been shown to increase healthy eating and decrease FI, but few FFRx are community-informed, or theory based. Our FFRx was a delivery program developed to alleviate FI for older adults. It was implemented in an academic medical center and guided by the Capabilities, Opportunities, Motivations, and Behaviors and Theoretical Domains Framework. We tested impacts of the program on FI, Fruit and Vegetable (FV) intake, depression, and loneliness at six-month intervals. During the FFRx, 31 people completed surveys every six months. FI decreased by an average of 2.03 points (p = <.001) while FV intake increased from a mean of 2.8 servings per day to 2.9 servings per day (p = .53). Depression and loneliness scores stayed stable. Preliminary data from this FFRx program, a partnership between an academic medical center and community partners, had positive impacts on FI.

Safety and Efficacy of the Off-Label Use of Pipeline Embolization Device Based on the 2018 Food and Drug Administration-Approved Indications for Intracranial Aneurysms: A Single-Center Retrospective Cohort Study.

BACKGROUND: The pipeline embolization device (PED; ev3/Covidien) has proven safe and effective for treating selected intracranial aneurysms. This device's versatility and popularity have driven increased interest in expanding the latest 2018 Food and Drug Administration-approved indications. OBJECTIVE: To compare "off-label" and "on-label" PED treatment. METHODS: Retrospective analysis of aneurysms treated with PED at a single center from 2013 to 2019. Comparisons were made based on the 2018 Food and Drug Administration-approved indications. RESULTS: A total of 492 treated aneurysms were included (65.2% on-label and 34.8% off-label). Aneurysm complete and near-complete occlusion rate was nonsignificantly lower in the off-label group (80.9% vs 85.7%; P = .19). Off-label treatment had higher rate of poor functional outcomes (modified Rankin Scale [mRS] >2: 10.3% vs 3.5%; P = .002). Although pretreatment mRS was already higher in the off-label group (5.3% vs 0.3%; P < .001) and there were no differences in mRS worsening during follow-up (5.5% vs 2.9%; P = .15). We also found a trend to a higher rate of intracranial hemorrhagic complications in the off-label group (4.7% vs 1.6%; P = .05), but there were no differences in hemorrhages requiring surgical intervention (1.8% vs 1.3%; P = .65). There were no differences in retreatment, thromboembolic complications, and mortality rates. CONCLUSION: Off-label PED treatment may be considered for select aneurysms, which are challenging to treat with other techniques. These cases have similar complete and near-complete occlusion rates compared with on-label cases. There are, however, higher risks of poor functional outcomes despite similar rates of thromboembolic and hemorrhagic complications. This is partly explained by the significantly higher pretreatment mRS score in the off-label group.

The dynamics of trust and communication in COVID-19 vaccine decision making: A qualitative inquiry.

In response to the COVID-19 pandemic, scientists coordinated a complex immunization effort that developed and distributed vaccines by December 2020. This study aimed to explain COVID-19 vaccination decision-making process to inform vaccine communication with patients and the public. Building on quantitative research on COVID-19 vaccine hesitancy, we conducted a grounded theory study, collecting 30 qualitative interviews with employees at a U.S. university that provided vaccine eligibility in December 2020. Analysis followed the Sort and Sift, Think and Shift method. Participants who had chosen to receive the vaccine and those who had not both described five factors that impacted their decision-making: emotional response, understanding, personal values, culture, and social norms. Across these factors, we identified three cross-cutting themes: time, trust, and communication tactics. In a time of emerging science and changing answers, the constant introduction of new information created information overload for participants. COVID-19 vaccine development was a "grand experiment globally," which required trust, not only knowledge, to overcome hesitancy. The complex information environment surrounding COVID-19 vaccination requires multi-level intervention that cannot rely on knowledge translation alone. We need to help patients build trusting relationships with experts that can create scaffolding for future information processing.

COVID-19 messed up my research: Insights from physical activity and nutrition translational research.

The COVID-19 pandemic led to significant challenges in conducting physical activity and nutrition translational research. This encompassed all phases of translational research, including recruitment (e.g., lack of trust in the scientific community), assessment (university regulations restricting in-person assessments), intervention (conversion of face-to-face interventions to online formats), and retention (loss of employment, phone service, or housing among study participants). The COVID-19 pandemic has had varying impacts on research productivity as well. While some groups found the pandemic led to increases in productivity (as evidenced by increases seen in both manuscript and grant submissions), junior faculty, women (particularly caregivers), African American, Asian, and Latinx faculty, and mid-career and senior scientists all faced unique career and personal challenges during this time. This included competing demands on time that interfered with research productivity and mental and physical health stressors. Therefore, in order to ensure we retain promising scientists in the field of translational physical activity and nutrition science, it will be important to consider these challenges when it comes time to review tenure files and grant applications. Reviewers of these applications should note creativity in moving research forward, continued mentoring of students or other faculty, and plans to get back on track after a pause in their ability to conduct impactful physical activity and nutrition work.

Pipeline Embolization Device Versus Stent-Assisted Coiling for Intracranial Aneurysm Treatment: A Retrospective Propensity Score-Matched Study.

BACKGROUND: Pipeline embolization device (PED; Medtronic) and stent-assisted coiling (SAC) are established modalities for treatment of intracranial aneurysms. OBJECTIVE: To comparatively assess the efficacy of these techniques. METHODS: We conducted a retrospective analysis of patients with aneurysms treated at our institution with either PED from 2013 to 2017 or SAC from 2009 to 2015. All large (>10 mm), ruptured, fusiform, anterior communicating artery, posterior circulation aneurysms, and patients with no available follow-up imaging were eliminated before running the propensity score matching (PSM). Patients were matched using nearest neighbor controlling for: age, gender, smoking, exact location, maximal diameter, and presence of multiple aneurysms. Total hospital costs for equipment and implants were calculated from procedure product and hospital billing records, and compared between the propensity-matched pairs. RESULTS: Out of 165 patients harboring 202 aneurysms; 170 (84.2%) were treated with the PED, and 32 (15.8%) were treated using SAC. PSM resulted in 23 matched pairs; with significantly longer follow up in the SAC group (mean 29.8 vs 14.1 mo; P = .0002). Complete occlusion rates were not different (82.6 vs 87%; P = .68), with no difference between the groups for modified Rankin Scale on last clinical follow-up, procedural complications or retreatment rates. Average total costs calculated from the hospital records, including equipment and implants, were not different between propensity-score matched pairs (P = .48). CONCLUSION: PED placement and SAC offer equally efficacious occlusion rates, functional outcomes, procedural complication rates, and cost profiles for small unruptured anterior circulation saccular aneurysms which do not involve the anterior communicating artery.

Correlates of COVID-19 Vaccine Hesitancy among a Community Sample of African Americans Living in the Southern United States.

In the United States, African Americans (AAs) have been disproportionately affected by COVID-19 mortality. However, AAs are more likely to be hesitant in receiving COVID-19 vaccinations when compared to non-Hispanic Whites. We examined factors associated with vaccine hesitancy among a predominant AA community sample. We performed a cross-sectional analysis on data collected from a convenience sample of 257 community-dwelling participants in the Central Savannah River Area from 5 December 2020, through 17 April 2021. Vaccine hesitancy was categorized as resistant, hesitant, and acceptant. We estimated relative odds of vaccine resistance and vaccine hesitancy using polytomous logistic regression models. Nearly one-third of the participants were either hesitant (n = 40, 15.6%) or resistant (n = 42, 16.3%) to receiving a COVID-19 vaccination. Vaccine-resistant participants were more likely to be younger and were more likely to have experienced housing insecurity due to COVID-19 when compared to both acceptant and hesitant participants, respectively. Age accounted for nearly 25% of the variation in vaccine resistance, with 21-fold increased odds (OR: 21.93, 95% CI: 8.97-5.26-91.43) of vaccine resistance in participants aged 18 to 29 compared to 50 and older adults. Housing insecurity accounted for 8% of the variation in vaccine resistance and was associated with 7-fold increased odds of vaccine resistance (AOR: 7.35, 95% CI: 1.99-27.10). In this sample, AAs under the age of 30 and those experiencing housing insecurity because of the COVID-19 pandemic were more likely to be resistant to receiving a free COVID-19 vaccination.

Racial Disparities in the Epidemiology of COVID-19 in Georgia: Trends Since State-Wide Reopening.

Objective: To examine county-level factors associated with coronavirus disease 2019 (COVID-19) incidence and mortality in Georgia, focusing on changes after relaxation of "shelter-in-place" orders on April 24, 2020. Methods: County-level data on confirmed COVID-19 cases and deaths were obtained from the Johns Hopkins 2019 Novel Coronavirus Data Repository and linked with county-level data from the 2020 County Health Rankings. We examined associations of county-level factors with mortality and incidence rates (quantiles) using a logistic regression model. This research was conducted in June-July 2020 in Augusta, GA. Results: Counties in the highest quartile for mortality had higher proportions of non-Hispanic (NH)-Black residents (median: 37.4%; interquartile range [IQR]: 29.5-45.0; p<0.01) and residents with incomes less than $20,000 (median: 32.9%; IQR: 26.6-35.0; p<0.01). Counties in the highest quartile for NH-Black residents (38.7-78.0% NH-Black population) showed a 13-fold increase in odds (odds ratio=13.15, 95% confidence interval=1.40-123.80, p=0.05) for increased COVID-19 mortality controlling for income. Conclusions: Although highlighted by the pandemic, racial disparities predated COVID-19, exposing the urgency for diversion of resources to address the systematic residential segregation, educational gaps, and poverty levels experienced disproportionately by Black communities.

Targeting sedentary behavior as a feasible health strategy during COVID-19.

Sedentary behavior is associated with poor physical and mental health. Targeting sedentary behavior is a simple strategy that may help counter physical and mental health concerns associated with COVID-19-related social restrictions. Of course, traditional strategies such as achieving optimal exercise and physical activity levels are also important and should be recommended. However, even under normal circumstances, the difficulty in promoting lasting exercise habits at multiple levels (e.g. individual, environment, policy) are well documented, and chances of maintaining or improving these factors is now even lower. Thus, relative to other lifestyle behaviors - sedentary behavior may be more amenable to change. Moreover, reducing sedentary behavior may be less susceptible to influence from factors associated with health disparities such as age, race, and socio-economic status compared to exercise or physical activity. Sedentary behavior is a feasible health strategy that should be targeted during COVID-19.

Is Cardiopulmonary Resuscitation Futile in Coronavirus Disease 2019 Patients Experiencing In-Hospital Cardiac Arrest?

OBJECTIVES: There is limited data regarding outcomes after in-hospital cardiac arrest among coronavirus disease 2019 patients. None of the studies have reported the outcomes of in-hospital cardiac arrest in coronavirus disease 2019 patients in the United States. We describe the characteristics and outcomes of in-hospital cardiac arrest in coronavirus disease 2019 patients in rural Southwest Georgia. DESIGN: Retrospective cohort study. SETTING: Single-center, multihospital. PATIENTS: Consecutive coronavirus disease 2019 patients who experienced in-hospital cardiac arrest with attempted resuscitation. INTERVENTIONS: Attempted resuscitation with advanced cardiac life support. MEASUREMENT AND MAIN RESULTS: Out of 1,094 patients hospitalized for coronavirus disease 2019 during the study period, 63 patients suffered from in-hospital cardiac arrest with attempted resuscitation and were included in this study. The median age was 66 years, and 49.2% were males. The majority of patients were African Americans (90.5%). The most common comorbidities were hypertension (88.9%), obesity (69.8%), diabetes (60.3%), and chronic kidney disease (33.3%). Eighteen patients (28.9%) had a Charlson Comorbidity Index of 0-2. The most common presenting symptoms were shortness of breath (63.5%), fever (52.4%), and cough (46%). The median duration of symptoms prior to admission was 14 days. During hospital course, 66.7% patients developed septic shock, and 84.1% had acute respiratory distress syndrome. Prior to in-hospital cardiac arrest, 81% were on ventilator, 60.3% were on vasopressors, and 39.7% were on dialysis. The majority of in-hospital cardiac arrest (84.1%) occurred in the ICU. Time to initiation of advanced cardiac life support protocol was less than 1 minute for all in-hospital cardiac arrest in the ICU and less than 2 minutes for the remaining patients. The most common initial rhythms were pulseless electrical activity (58.7%) and asystole (33.3%). Although return of spontaneous circulation was achieved in 29% patients, it was brief in all of them. The in-hospital mortality was 100%. CONCLUSIONS: In our study, coronavirus disease 2019 patients suffering from in-hospital cardiac arrest had 100% in-hospital mortality regardless of the baseline comorbidities, presenting illness severity, and location of arrest.

COVID-19 Impact on Behaviors across the 24-Hour Day in Children and Adolescents: Physical Activity, Sedentary Behavior, and Sleep

In the wake of the COVID-19 pandemic, social restrictions to contain the spread of the virus have disrupted behaviors across the 24-h day including physical activity, sedentary behavior, and sleep among children (5-12 years old) and adolescents (13-17 years old). Preliminary evidence reports significant decreases in physical activity, increases in sedentary behavior, and disrupted sleep schedules/sleep quality in children and adolescents. This commentary discusses the impact of COVID-19-related restrictions on behaviors across the 24-h day in children and adolescents. Furthermore, we suggest recommendations through the lens of a socio-ecological model to provide strategies for lasting behavior change to insure the health and well-being of children and adolescents during the COVID-19 pandemic.

Epidemiology of the 2020 Pandemic of COVID-19 in the State of Texas: The First Month of Community Spread.

The pandemic of novel Coronavirus (SARS-CoV-2) is currently spreading rapidly across the United States. We provide a comprehensive overview of COVID-19 epidemiology across the state of Texas, which includes vast rural & vulnerable communities that may be disproportionately impacted by the spread of this new disease. All 254 Texas counties were included in this study. We examined the geographic variation of COVID-19 from March 1 through April 8, 2020 by extracting data on incidence and case fatality from various national and state datasets. We contrasted incidence and case fatality rates by county-level demographic and healthcare resource factors. Counties which are part of metropolitan regions, such as Harris and Dallas, experienced the highest total number of confirmed cases. However, the highest incidence rates per 100,000 population were in found in counties of Donley (353.5), Castro (136.4), Matagorda (114.4) and Galveston (93.4). Among counties with greater than 10 cases, the highest CFR were observed in counties of Comal (10.3%), Hockley (10%), Hood (10%), and Castro (9.1%). Counties with the highest CFR (> 10%) had a higher proportion of non-Hispanic Black residents, adults aged 65 and older, and adults smoking, but lower number of ICU beds per 100,000 population, and number of primary care physicians per 1000 population. Although the urban areas of Texas account for the majority of COVID-19 cases, the higher case-fatality rates and low health care capacity in rural areas need attention.