Surveillance for Violent Deaths - National Violent Death Reporting System, 48 States, the District of Columbia, and Puerto Rico, 2020.

Problem/Condition: In 2020, approximately 71,000 persons died of violence-related injuries in the United States. This report summarizes data from CDC's National Violent Death Reporting System (NVDRS) on violent deaths that occurred in 48 states, the District of Columbia, and Puerto Rico in 2020. Results are reported by sex, age group, race and ethnicity, method of injury, type of location where the injury occurred, circumstances of injury, and other selected characteristics. Period Covered: 2020. Description of System: NVDRS collects data regarding violent deaths obtained from death certificates, coroner and medical examiner records, and law enforcement reports. This report includes data collected for violent deaths that occurred in 2020. Data were collected from 48 states (all states with exception of Florida and Hawaii), the District of Columbia, and Puerto Rico. Forty-six states had statewide data, two additional states had data from counties representing a subset of their population (35 California counties, representing 71% of its population, and four Texas counties, representing 39% of its population), and the District of Columbia and Puerto Rico had jurisdiction-wide data. NVDRS collates information for each violent death and links deaths that are related (e.g., multiple homicides, homicide followed by suicide, or multiple suicides) into a single incident. Results: For 2020, NVDRS collected information on 64,388 fatal incidents involving 66,017 deaths that occurred in 48 states (46 states collecting statewide data, 35 California counties, and four Texas counties), and the District of Columbia. In addition, information was collected for 729 fatal incidents involving 790 deaths in Puerto Rico. Data for Puerto Rico were analyzed separately. Of the 66,017 deaths, the majority (58.4%) were suicides, followed by homicides (31.3%), deaths of undetermined intent (8.2%), legal intervention deaths (1.3%) (i.e., deaths caused by law enforcement and other persons with legal authority to use deadly force acting in the line of duty, excluding legal executions), and unintentional firearm deaths (<1.0%). The term "legal intervention" is a classification incorporated into the International Classification of Diseases, Tenth Revision, and does not denote the lawfulness or legality of the circumstances surrounding a death caused by law enforcement.Demographic patterns and circumstances varied by manner of death. The suicide rate was higher for males than for females. Across all age groups, the suicide rate was highest among adults aged ≥85 years. In addition, non-Hispanic American Indian or Alaska Native (AI/AN) persons had the highest suicide rates among all racial and ethnic groups. Among both males and females, the most common method of injury for suicide was a firearm. Among all suicide victims, when circumstances were known, suicide was most often preceded by a mental health, intimate partner, or physical health problem or by a recent or impending crisis during the previous or upcoming 2 weeks. The homicide rate was higher for males than for females. Among all homicide victims, the homicide rate was highest among persons aged 20-24 years compared with other age groups. Non-Hispanic Black (Black) males experienced the highest homicide rate of any racial or ethnic group. Among all homicide victims, the most common method of injury was a firearm. When the relationship between a homicide victim and a suspect was known, the suspect was most frequently an acquaintance or friend for male victims and a current or former intimate partner for female victims. Homicide most often was precipitated by an argument or conflict, occurred in conjunction with another crime, or, for female victims, was related to intimate partner violence. Nearly all victims of legal intervention deaths were male, and the legal intervention death rate was highest among men aged 35-44 years. The legal intervention death rate was highest among AI/AN males, followed by Black males. A firearm was used in the majority of legal intervention deaths. When a specific type of crime was known to have precipitated a legal intervention death, the type of crime was most frequently assault or homicide. When circumstances were known, the three most frequent circumstances reported for legal intervention deaths were as follows: the victim's death was precipitated by another crime, the victim used a weapon in the incident, and the victim had a substance use problem (other than alcohol use).Other causes of death included unintentional firearm deaths and deaths of undetermined intent. Unintentional firearm deaths were most frequently experienced by males, non-Hispanic White (White) persons, and persons aged 15-24 years. These deaths most frequently occurred while the shooter was playing with a firearm and were precipitated by a person unintentionally pulling the trigger. The rate of deaths of undetermined intent was highest among males, particularly among AI/AN and Black males, and among adults aged 30-54 years. Poisoning was the most common method of injury in deaths of undetermined intent, and opioids were detected in nearly 80% of decedents tested for those substances. Interpretation: This report provides a detailed summary of data from NVDRS on violent deaths that occurred in 2020. The suicide rate was highest among AI/AN and White males, whereas the homicide rate was highest among Black male victims. Intimate partner violence precipitated a large proportion of homicides for females. Mental health problems, intimate partner problems, interpersonal conflicts, and acute life stressors were primary circumstances for multiple types of violent death. Public Health Action: Violence is preventable, and states and communities can use data to guide public health action. NVDRS data are used to monitor the occurrence of violence-related fatal injuries and assist public health authorities in developing, implementing, and evaluating programs, policies, and practices to reduce and prevent violent deaths. For example, the Colorado Violent Death Reporting System (VDRS), Kentucky VDRS, and Oregon VDRS have used their VDRS data to guide suicide prevention efforts and generate reports highlighting where additional focus is needed. In Colorado, VDRS data were used to examine the increased risk for suicide among first and last responders in the state. Kentucky VDRS used local data to highlight how psychological and social effects of the COVID-19 pandemic might increase risk for suicide, particularly among vulnerable populations. Oregon VDRS used their data to develop a publicly available data dashboard displaying firearm mortality trends and rates in support of the state's firearm safety campaign. Similarly, states participating in NVDRS have used their VDRS data to examine homicide in their state. Illinois VDRS, for example, found that state budget cuts were associated with notable increases in homicides among youths in Chicago. With an increase of participating states and jurisdictions, this report marks progress toward providing nationally representative data.

Psychosocial impacts of the COVID-19 pandemic from a cross-sectional Survey of people living with HIV in Washington, DC.

BACKGROUND: COVID-19 has not only taken a staggering toll in terms of cases and lives lost, but also in its psychosocial effects. We assessed the psychosocial impacts of the COVID-19 pandemic in a large cohort of people with HIV (PWH) in Washington DC and evaluated the association of various demographic and clinical characteristics with psychosocial impacts. METHODS: From October 2020 to December 2021, DC Cohort participants were invited to complete a survey capturing psychosocial outcomes influenced by the COVID-19 pandemic. Some demographic variables were also collected in the survey, and survey results were matched to additional demographic data and laboratory data from the DC Cohort database. Data analyses included descriptive statistics and multivariable logistic regression models to evaluate the association between demographic and clinical characteristics and psychosocial impacts, assessed individually and in overarching categories (financial/employment, mental health, decreased social connection, and substance use). RESULTS: Of 891 participants, the median age was 46 years old, 65% were male, and 76% were of non-Hispanic Black race/ethnicity. The most commonly reported psychosocial impact categories were mental health (78% of sample) and financial/employment (56% of sample). In our sample, older age was protective against all adverse psychosocial impacts. Additionally, those who were more educated reported fewer financial impacts but more mental health impacts, decreased social connection, and increased substance use. Males reported increased substance use compared with females. CONCLUSIONS: The COVID-19 pandemic has had substantial psychosocial impacts on PWH, and resiliency may have helped shield older adults from some of these effects. As the pandemic continues, measures to aid groups vulnerable to these psychosocial impacts are critical to help ensure continued success towards healthy living with HIV.

The Association Between Receiving the Flu and COVID-19 Vaccines and Related Factors, Data from the StopFlu Campaign in Eight States and the District of Columbia, 2022.

Given the evolving nature of the COVID-19 pandemic and the importance of vaccines, it is imperative to understand the relationships between receiving the COVID-19 vaccine and other vaccines, such as the flu vaccine. Data were obtained from a survey as part of an evaluation of the StopFlu Kaiser Permanente media campaign, promoting the flu and COVID-19 vaccines in communities of color across eight states and the District of Columbia. The outcome considered was receiving the COVID-19 vaccine. The exposure considered was receiving the flu vaccine. Covariates included demographic factors, and sources of trusted health information. Overall, 4,185 participants had complete data and were included the analysis. Logistic regression was used to assess the relationship between receiving the flu vaccine and COVID-19 vaccine. Among participants, 77.8% reported receiving the COVID-19 vaccine and 55.4% received the flu vaccine. After adjusting for demographics and sources of trusted health information, participants reporting receiving the flu vaccine had 5.18 times the odds of also receiving the COVID-19 vaccine [Adjusted Odds Ratio (AOR): 5.18 95% Confidence Interval (CI): 4.24-6.32]. Trusting advice from a doctor and healthcare organization also had increased odds of receiving the COVID-19 vaccine. (AOR: 1.84 95%CI: 1.45-2.33, AOR: 2.08 95%CI: 1.64-2.63). This study demonstrates that promotion of one vaccine may influence uptake of other vaccines, which is important given the highly politicized nature of the COVID-19 vaccine. Further research could provide more insight into how promotion of a vaccine could impact behavior with regards to another.

An exploratory study of COVID-19-related changes in abortion service availability and use in Washington, DC, Maryland, and Virginia.

OBJECTIVES: This exploratory study aimed to assess COVID-19-related changes in abortion service availability and use in Washington, DC, Maryland, and Virginia. DESIGN: Data came from a convenience sample of eight abortion clinics in this region. We implemented a cross-sectional survey and collected retrospective aggregate monthly abortion data overall and by facility type, abortion type, and patient characteristics for March 2019-August 2020. We evaluated changes in the distribution of the total number of patients for March-August in 2019 compared to March-August 2020. We also conducted segmented regression analyses and produced scatter plots of monthly abortion patients overall and by facility type, abortion type, and patient characteristics, with separate fitted regression lines from the segmented regression models for the pre- and during-COVID-19 periods. RESULTS: Five clinics reported a reduced number of appointments early in the pandemic while four reported increased call volume. There were declines in the monthly abortion trend at hospital-based clinics at the outset of the pandemic. Monthly number of medication abortions increased from March 2020 through August 2020 compared to pre-COVID-19 trends while instrumentation abortions 11 up to 19 weeks decreased. The share of abortions to Black individuals increased during the early phase of the pandemic, as did the monthly trend in abortions among this group. We also saw changes in payment type, with declines in patients paying out-of-pocket. CONCLUSIONS: Results revealed differences in abortion services, numbers, and types during the early stages of the COVID-19 pandemic in Washington, DC, Maryland, and Virginia.

A school of public health responds to the pandemic: A case study from Washington D.C.

The emergence of COVID-19 immediately affected higher education, and the closure of campuses at the start of the pandemic in March of 2020 forced educational institutions to quickly adapt to changing circumstances. Schools of public health faced challenges not only of shifting to remote learning and work environments, but also uniquely redirecting public health research and service efforts toward COVID-19. This paper offers a case study of how the Milken Institute School of Public Health at the George Washington University (GWSPH), the only school of public health in the nation's capital, initially adapted to the COVID-19 pandemic. Using a modified version of the Public Health Preparedness and Response Core Competency Model created by the Association of Schools and Programs of Public Health and the Centers for Disease Control and Prevention, we analyze how GWSPH worked in three areas-research, education, service/operations. We reviewed this initial response across four domains: model leadership; communication and management of information; planning and improving practice; and protecting worker (and student) health and safety. The adaptation of the model and the analysis of GWSPH's initial response to the pandemic can be useful to other schools of public health and health sciences in the United States and beyond, in preparing for all hazards. We hope that such analysis also informs the current concerns of schools such as return to in-person education as well as planning for future public health crises.

Food Security Challenges and Resilience during the COVID-19 Pandemic: Corner Store Communities in Washington, D.C.

The COVID-19 pandemic exacerbates the complexities of food inequity. As one of the social determinants of health, food insecurity significantly impacts overall health across the life course. Guided by the Getting to Equity Framework, this qualitative community-engaged participatory project examines the impact of the pandemic on food security among adults in Washington, DC. Semi-structured interviews (n = 79) were conducted by trained community health workers between November 2020 and December 2021 at corner stores. Data analysis was performed using thematic network analysis in NVivo. Results are grouped into four key themes: (1) impact of the pandemic on food access, including expanded services and innovative solutions to meet needs; (2) coping and asset-based strategies at the individual and community level; (3) sources of information and support, and (4) impact of the pandemic on health and well-being. The importance of lived experience research in public health is increasingly recognized as an innovative approach that offers benefits through community engagement and empowerment.

COVID-19 impacts on abortion care-seeking experiences in the Washington, DC, Maryland, and Virginia regions of the United States.

CONTEXT: Many people wanted to avoid or delay childbearing during the COVID-19 pandemic. This study sought to examine the extent COVID-19 influenced abortion care-seeking in a region that did not enact policy restricting abortion due to the pandemic, has high service availability, and few abortion-restrictive policies. METHODOLOGY: We conducted telephone surveys with adults (n=72) requesting abortion appointments between September 2020 and March 2021 at five clinics in Washington, DC, Maryland, and Virginia. We used χ2 tests to compare sociodemographic, reproductive history, service delivery characteristics, and pandemic-related life changes by whether COVID-19 influenced abortion care-seeking. RESULTS: Most respondents (93%) had an abortion at the time of the survey, 4% were awaiting their scheduled appointment, and 3% did not have an appointment scheduled. Nearly 40% of people reported COVID-19 influenced their decision to have an abortion. These individuals were significantly more likely to report "not financially prepared" (44% vs. 16%) as a reason for termination compared to people reporting no influence of COVID-19. They were also more likely to have lost or changed their health insurance due to pandemic-related employment changes (15% vs. 2%), report substantial money difficulties due to COVID-19 (59% vs. 33%), and report that paying for their abortion was "very difficult" (25% vs. 2%). CONCLUSION: COVID-19 influenced many people to have an abortion, particularly those financially disadvantaged by the pandemic. Expansion of Medicaid abortion coverage in Washington, DC and Virginia could reduce financial barriers to care and help people to better meet their reproductive needs amid future crises.

Nonfatal opioid overdoses before and after Covid-19: Regional variation in rates of change.

BACKGROUND: The Covid-19 pandemic and its accompanying public-health orders (PHOs) have led to (potentially countervailing) changes in various risk factors for overdose. To assess whether the net effects of these factors varied geographically, we examined regional variation in the impact of the PHOs on counts of nonfatal overdoses, which have received less attention than fatal overdoses, despite their public health significance. METHODS: Data were collected from the Overdose Detection Mapping Application Program (ODMAP), which recorded suspected overdoses between July 1, 2018 and October 25, 2020. We used segmented regression models to assess the impact of PHOs on nonfatal-overdose trends in Washington DC and the five geographical regions of Maryland, using a historical control time series to adjust for normative changes in overdoses that occurred around mid-March (when the PHOs were issued). RESULTS: The mean level change in nonfatal opioid overdoses immediately after mid-March was not reliably different in the Covid-19 year versus the preceding control time series for any region. However, the rate of increase in nonfatal overdose was steeper after mid-March in the Covid-19 year versus the preceding year for Maryland as a whole (B = 2.36; 95% CI, 0.65 to 4.06; p = .007) and for certain subregions. No differences were observed for Washington DC. CONCLUSIONS: The pandemic and its accompanying PHOs were associated with steeper increases in nonfatal opioid overdoses in most but not all of the regions we assessed, with a net effect that was deleterious for the Maryland region as a whole.

How social distancing, mobility, and preventive policies affect COVID-19 outcomes: Big data-driven evidence from the District of Columbia-Maryland-Virginia (DMV) megaregion.

Many factors play a role in outcomes of an emerging highly contagious disease such as COVID-19. Identification and better understanding of these factors are critical in planning and implementation of effective response strategies during such public health crises. The objective of this study is to examine the impact of factors related to social distancing, human mobility, enforcement strategies, hospital capacity, and testing capacity on COVID-19 outcomes within counties located in District of Columbia as well as the states of Maryland and Virginia. Longitudinal data have been used in the analysis to model county-level COVID-19 infection and mortality rates. These data include big location-based service data, which were collected from anonymized mobile devices and characterize various social distancing and human mobility measures within the study area during the pandemic. The results provide empirical evidence that lower rates of COVID-19 infection and mortality are linked with increased levels of social distancing and reduced levels of travel-particularly by public transit modes. Other preventive strategies and polices also prove to be influential in COVID-19 outcomes. Most notably, lower COVID-19 infection and mortality rates are linked with stricter enforcement policies and more severe penalties for violating stay-at-home orders. Further, policies that allow gradual relaxation of social distancing measures and travel restrictions as well as those requiring usage of a face mask are related to lower rates of COVID-19 infections and deaths. Additionally, increased access to ventilators and Intensive Care Unit (ICU) beds, which represent hospital capacity, are linked with lower COVID-19 mortality rates. On the other hand, gaps in testing capacity are related to higher rates of COVID-19 infection. The results also provide empirical evidence for reports suggesting that certain minority groups such as African Americans and Hispanics are disproportionately affected by the COVID-19 pandemic.

Risk of Severe COVID-19 Disease and the Pandemic's Impact on Service Utilization Among a Longitudinal Cohort of Persons with HIV-Washington, DC.

People with HIV (PWH) have a high burden of medical comorbidities, potentially putting them at increased risk for severe COVID-19. Additionally, during the COVID-19 pandemic, HIV care delivery has been restructured and the impact on HIV outcomes is unknown. The objectives of this study were first, to examine the risk of severe COVID-19 among PWH, using a definition incorporating clinical risk factors, and second, to examine the pandemic's impact on HIV care. We used data from the DC Cohort, a large cohort of people receiving HIV care in Washington, DC. We found that a high proportion of participants across all age groups qualified as increased (58%) or high risk (34%) for severe COVID-19. Between 2019 and 2020, encounters increased (17.7%, increasing to 23.5% of active DC Cohort participants had an encounter) while laboratory utilization decreased (14.4%, decreasing to 11.4% of active DC Cohort participants had an HIV RNA test performed). Implications of our work include the importance of protecting vulnerable people with HIV from acquiring COVID-19 and potentially manifesting severe complications through strategies including vaccination. Additionally, acknowledging that HIV service delivery will likely be changed long-term by the pandemic, adaptation is required to ensure continued progress towards 90-90-90 goals.

Assessment of Structural Barriers and Racial Group Disparities of COVID-19 Mortality With Spatial Analysis.

IMPORTANCE: Although social determinants of health (SDOH) are important factors in health inequities, they have not been explicitly associated with COVID-19 mortality rates across racial and ethnic groups and rural, suburban, and urban contexts. OBJECTIVES: To explore the spatial and racial disparities in county-level COVID-19 mortality rates during the first year of the pandemic. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study analyzed data for all US counties in 50 states and the District of Columbia for the first full year of the COVID-19 pandemic (January 22, 2020, to February 28, 2021). Counties with a high concentration of a single racial and ethnic population and a high level of COVID-19 mortality rate were identified as concentrated longitudinal-impact counties. The SDOH that may be associated with mortality rate across these counties and in urban, suburban, and rural contexts were examined. The 3 largest racial and ethnic groups in the US were selected: Black or African American, Hispanic or Latinx, and non-Hispanic White populations. EXPOSURES: County-level characteristics and community health factors (eg, income inequality, uninsured rate, primary care physicians, preventable hospital stays, severe housing problems rate, and access to broadband internet) associated with COVID-19 mortality. MAIN OUTCOMES AND MEASURES: Data on county-level COVID-19 mortality rates (deaths per 100 000 population) reported by the US Centers for Disease Control and Prevention were analyzed. Four indexes were used to measure multiple dimensions of SDOH: socioeconomic advantage index, limited mobility index, urban core opportunity index, and mixed immigrant cohesion and accessibility index. Spatial regression models were used to examine the associations between SDOH and county-level COVID-19 mortality rate. RESULTS: Of the 3142 counties included in the study, 531 were identified as concentrated longitudinal-impact counties. Of these counties, 347 (11.0%) had a large Black or African American population compared with other counties, 198 (6.3%) had a large Hispanic or Latinx population compared with other counties, and 33 (1.1%) had a large non-Hispanic White population compared with other counties. A total of 489 254 COVID-19-related deaths were reported. Most concentrated longitudinal-impact counties with a large Black or African American population compared with other counties were spread across urban, suburban, and rural areas and experienced numerous disadvantages, including higher income inequality (297 of 347 [85.6%]) and more preventable hospital stays (281 of 347 [81.0%]). Most concentrated longitudinal-impact counties with a large Hispanic or Latinx population compared with other counties were located in urban areas (114 of 198 [57.6%]), and 130 (65.7%) of these counties had a high percentage of people who lacked health insurance. Most concentrated longitudinal-impact counties with a large non-Hispanic White population compared with other counties were in rural areas (23 of 33 [69.7%]), included a large group of older adults (26 of 33 [78.8%]), and had limited access to quality health care (24 of 33 [72.7%]). In urban areas, the mixed immigrant cohesion and accessibility index was inversely associated with COVID-19 mortality (coefficient [SE], -23.38 [6.06]; P < .001), indicating that mortality rates in urban areas were associated with immigrant communities with traditional family structures, multiple accessibility stressors, and housing overcrowding. Higher COVID-19 mortality rates were also associated with preventable hospital stays in rural areas (coefficient [SE], 0.008 [0.002]; P < .001) and higher socioeconomic status vulnerability in suburban areas (coefficient [SE], -21.60 [3.55]; P < .001). Across all community types, places with limited internet access had higher mortality rates, especially in urban areas (coefficient [SE], 5.83 [0.81]; P < .001). CONCLUSIONS AND RELEVANCE: This cross-sectional study found an association between different SDOH measures and COVID-19 mortality that varied across racial and ethnic groups and community types. Future research is needed that explores the different dimensions and regional patterns of SDOH to address health inequity and guide policies and programs.

A Pilot of Mail-Out HIV and Sexually Transmitted Infection Testing in Washington, District of Columbia During the COVID-19 Pandemic.

INTRODUCTION: In 2019, the District of Columbia recorded a 20-year low rate in new HIV infections but also had near-record numbers of gonorrhea and chlamydia infections. District of Columbia Department of Health has supported numerous forms of community-based in-person screening but not direct at-home testing. METHODS: In summer 2020, the District of Columbia Department of Health launched GetCheckedDC.org for District of Columbia residents to order home-based oral HIV antibody test and urogenital, pharyngeal, and rectal chlamydia and gonorrhea tests. Initial and follow-up surveys were completed by individuals for both test modalities. RESULTS: A retrospective analysis was conducted for the first 5 months of the program. During that period, 1,089 HIV and 1,262 gonorrhea and chlamydia tests (535 urogenital, 520 pharyngeal, 207 rectal) were ordered by 1,245 District of Columbia residents. The average age was 33.1 (median=31, range=14-78) years; 51.6% of requestors identified as Black; 39.3% identified as men who have sex with men; 16.2% reported no form of insurance; and 8.1% and 10.4% reported never being testing for HIV and sexually transmitted infections, respectively. More than half of people requesting tests reported convenience and COVID-19 as the reasons. In total, 39.5% of sexually transmitted infection tests were returned; 7.22% of people testing for sexually transmitted infections received a positive result, and 10.35% of rectal tests were positive. No individuals reported a positive HIV self-test that was confirmed; 98.5% of respondents said that they would recommend the HIV self-test kit. CONCLUSIONS: Mail-out HIV and sexually transmitted infection testing was readily taken up among high-priority demographics within a diverse, urban, high-morbidity jurisdiction during the COVID-19 pandemic. Extragenital testing for gonorrhea and chlamydia should be included in all at-home screening tests given the high positivity rate.

On Pause: How a Group of Medical Students Engaged with Their Community During the COVID-19 Pandemic.

During academic clinical suspensions related to the COVID-19 pandemic, a group of medical students in Washington, D.C. collaborated with a local federally qualified health center to launch a free COVID-19 testing site to increase access to testing in the community. The patients who accessed the testing site were predominantly Black/African American and Hispanic/Latino, some of whom were uninsured or without access to testing or a timely physician's referral. In this article, medical students reflect on their experiences at this testing site and provide commentary on how existing racial and socioeconomic health disparities have been exacerbated by the COVID-19 pandemic. While under the extremely unusual circumstance of a suspension from their clinical rotations, medical students elaborate on the lessons learned from this experience and the continued work required to engage deeply in the issues of equality and racial justice now and in the future.

Evolution of Management and Outcomes of Patients with Myocardial Injury During the COVID-19 Pandemic.

Cardiac involvement in coronavirus disease 2019 (COVID-19) has been established. This is manifested by troponin elevation and associated with worse patient prognosis. We evaluated whether patient outcomes improved as experience accumulated during the pandemic. We analyzed COVID-19-positive patients with myocardial injury (defined as troponin elevation) who presented to the MedStar Health system (11 hospitals in Washington, DC, and Maryland) during the "Early Phase" of the pandemic (March 1 - June 30, 2020) and compared their characteristics and outcomes to the COVID-19-positive patients with the presence of troponin elevation in the "Later Phase" of the pandemic (October 1, 2020 - January 31, 2021). The cohort included 788 COVID-19-positive admitted patients for whom troponin was elevated, 167 during the "Early Phase" and 621 during the "Later Phase." Maximum troponin-I in the "Early Phase" was 13.46±34.72 ng/mL versus 11.21±20.57 ng/mL in the "Later Phase" (p = 0.553). In-hospital mortality was significantly higher in the "Later Phase" (50.3% vs. 24.6%; p<0.001), as were incidence of intensive-care-unit admission (77.8% vs. 46.1%; p<0.001) and need for mechanical ventilation (61.7% versus 28%; p<0.001). In addition, more "Early Phase" patients underwent coronary angiography (6% vs. 2.3%; p=0.013). Finally, 3% of "Early Phase" and 0.8% of "Later Phase" patients underwent percutaneous coronary intervention (p=0.025). In conclusion, treatment outcomes have significantly improved since the beginning of the pandemic in COVID-19-positive patients with troponin elevation. This may be attributed to awareness, severity of the disease, improvements in therapies, and provider experience.

Outcomes of renal replacement therapy in the critically ill with COVID-19.

OBJECTIVE: To describe outcomes of critically ill patients with COVID-19, particularly the association of renal replacement therapy to mortality. DESIGN: A single-center prospective observational study was carried out. SETTING: ICU of a tertiary care center. PATIENTS: Consecutive adults with COVID-19 admitted to the ICU. INTERVENTION: Renal replacement therapy. MAIN VARIABLES OF INTEREST: Demographic data, medical history, illness severity, type of oxygen therapy, laboratory data and use of renal replacement therapy to generate a logistic regression model describing independent risk factors for mortality. RESULTS: Of the total of 166 patients, 51% were mechanically ventilated and 26% required renal replacement therapy. The overall hospital mortality rate was 36%, versus 56% for those requiring renal replacement therapy, and 68% for those with both mechanical ventilation and renal replacement therapy. The logistic regression model identified four independent risk factors for mortality: age (adjusted OR 2.8 [95% CI 1.8-4.4] for every 10-year increase), mechanical ventilation (4.2 [1.7-10.6]), need for continuous venovenous hemofiltration (2.3 [1.3-4.0]) and C-reactive protein (1.1 [1.0-1.2] for every 10mg/L increase). CONCLUSIONS: In our cohort, acute kidney injury requiring renal replacement therapy was associated to a high mortality rate similar to that associated to the need for mechanical ventilation, while multiorgan failure necessitating both techniques implied an extremely high mortality risk.

Estimated SARS-CoV-2 Seroprevalence in Healthy Children and Those with Chronic Illnesses in the Washington Metropolitan Area as of October 2020.

The estimated severe acute respiratory syndrome coronavirus 2 seroprevalence in children was found to be 9.46% for the Washington Metropolitan area. Hispanic/Latinx individuals were found to have higher odds of seropositivity. While chronic medical conditions were not associated with having antibodies, previous fever and body aches were predictive symptoms.

Characteristics of COVID-19 Cases and Outbreaks at Child Care Facilities - District of Columbia, July-December 2020.

The occurrence of cases of COVID-19 reported by child care facilities among children, teachers, and staff members is correlated with the level of community spread (1,2). To describe characteristics of COVID-19 cases at child care facilities and facility adherence to guidance and recommendations, the District of Columbia (DC) Department of Health (DC Health) and CDC reviewed COVID-19 case reports associated with child care facilities submitted to DC Health and publicly available data from the DC Office of the State Superintendent of Education (OSSE) during July 1-December 31, 2020. Among 469 licensed child care facilities, 112 (23.9%) submitted 269 reports documenting 316 laboratory-confirmed cases and three additional cases identified through DC Health's contact tracers. Outbreaks associated with child care facilities,† defined as two or more laboratory-confirmed and epidemiologically linked cases at a facility within a 14-day period (3), occurred in 27 (5.8%) facilities and accounted for nearly one half (156; 48.9%) of total cases. Among the 319 total cases, 180 (56.4%) were among teachers or staff members. The majority (56.4%) of facilities reported cases to DC Health on the same day that they were notified of a positive test result for SARS-CoV-2, the virus that causes COVID-19, by staff members or parents.§ Facilities were at increased risk for an outbreak if they had been operating for <3 years, if symptomatic persons sought testing ≥3 days after symptom onset, or if persons with asymptomatic COVID-19 were at the facility. The number of outbreaks associated with child care facilities was limited. Continued implementation and maintenance of multiple prevention strategies, including vaccination, masking, physical distancing, cohorting, screening, and reporting, are important to reduce transmission of SARS-CoV-2 in child care facilities and to facilitate a timely public health response to prevent outbreaks.¶.

Interest in Receiving Nutrition Information Through Social Media Among Food-Security Program Participants in Washington, DC.

INTRODUCTION: Effective communication approaches are necessary to reach food-security program participants. Accessing food-security programs has been especially challenging during the COVID-19 pandemic. Social media can play an important role in reducing some communication barriers. We examined interest in receiving nutrition information via social media among adults participating in food-security programs in Washington, DC. METHODS: We developed and administered a 22-item survey to adults participating in food-security programs (N = 375). Participants were recruited at Martha's Table, in Washington, DC, from January through March 2020. We performed bivariate analyses and multinomial logistic regressions to examine predictors of interest in receiving nutrition information via social media. RESULTS: Sixty-nine percent of participants reported using social media, and 49% expressed interest in receiving nutrition information via social media. Higher levels of self-efficacy and belief in the value of digital technology were associated with greater likelihood of interest in receiving nutrition information via social media (χ2 6 = 139.0; Nagelkerke R2 = 0.35; P < .001). We found no differences by sex or digital technology access in interest in receiving nutrition information via social media. CONCLUSION: Social media is a widely used and a feasible method to reach food-security program participants. Understanding program participants' interest in receiving health information via social media may help food-security programs plan effective communication strategies to improve food security, especially when in-person participation is limited, such as during the COVID-19 pandemic.