Completeness of Race and Ethnicity Reporting in Person-Level COVID-19 Surveillance Data, 50 States, April 2020-December 2021.

OBJECTIVES: Black, Indigenous, and People of Color have borne a disproportionate incidence of COVID-19 cases in the United States. However, few studies have documented the completeness of race and ethnicity reporting in national COVID-19 surveillance data. The objective of this study was to describe the completeness of race and ethnicity ascertainment in person-level data received by the Centers for Disease Control and Prevention (CDC) through national COVID-19 case surveillance. METHODS: We compared COVID-19 cases with "complete" (ie, per Office of Management and Budget 1997 revised criteria) data on race and ethnicity from CDC person-level surveillance data with CDC-reported aggregate counts of COVID-19 from April 5, 2020, through December 1, 2021, in aggregate and by state. RESULTS: National person-level COVID-19 case surveillance data received by CDC during the study period included 18 881 379 COVID-19 cases with complete ascertainment of race and ethnicity, representing 39.4% of all cases reported to CDC in aggregate (N = 47 898 497). Five states (Georgia, Hawaii, Nebraska, New Jersey, and West Virginia) did not report any COVID-19 person-level cases with multiple racial identities to CDC. CONCLUSION: Our findings highlight a high degree of missing data on race and ethnicity in national COVID-19 case surveillance, enhancing our understanding of current challenges in using these data to understand the impact of COVID-19 on Black, Indigenous, and People of Color. Streamlining surveillance processes to decrease reporting incidence and align reporting requirements with an Office of Management and Budget-compliant collection of data on race and ethnicity would improve the completeness of data on race and ethnicity for national COVID-19 case surveillance.

COVID-19 Among Non-Hispanic American Indian and Alaska Native People Residing in Urban Areas Before and After Vaccine Rollout-Selected States and Counties, United States, January 2020-October 2021.

Objectives. To evaluate COVID-19 disparities among non-Hispanic American Indian/Alaska Native (AI/AN) and non-Hispanic White persons in urban areas. Methods. Using COVID-19 case surveillance data, we calculated cumulative incidence rates and risk ratios (RRs) among non-Hispanic AI/AN and non-Hispanic White persons living in select urban counties in the United States by age and sex during January 22, 2020, to October 19, 2021. We separated cases into prevaccine (January 22, 2020-April 4, 2021) and postvaccine (April 5, 2021-October 19, 2021) periods. Results. Overall in urban areas, the COVID-19 age-adjusted rate among non-Hispanic AI/AN persons (n = 47 431) was 1.66 (95% confidence interval [CI] = 1.36, 2.01) times that of non-Hispanic White persons (n = 2 301 911). The COVID-19 prevaccine age-adjusted rate was higher (8227 per 100 000; 95% CI = 6283, 10 770) than was the postvaccine rate (3703 per 100 000; 95% CI = 3235, 4240) among non-Hispanic AI/AN compared with among non-Hispanic White persons (2819 per 100 000; 95% CI = 2527, 3144; RR = 1.31; 95% CI = 1.17, 1.48). Conclusions. This study highlights disparities in COVID-19 between non-Hispanic AI/AN and non-Hispanic White persons in urban areas. These findings suggest that COVID-19 vaccination and other public health efforts among urban AI/AN communities can reduce COVID-19 disparities in urban AI/AN populations. (Am J Public Health. 2022;112(10):1489-1497. https://doi.org/10.2105/AJPH.2022.306966).

Efficacy and Safety of Lithium Treatment in SARS-CoV-2 Infected Patients.

At the beginning of the pandemic, we observed that lithium carbonate had a positive effect on the recovery of severely ill patients with COVID-19. Lithium is able to inhibit the replication of several types of viruses, some of which are similar to the SARS-CoV-2 virus, increase the immune response and reduce inflammation by preventing or reducing the cytokine storm. Previously, we published an article with data from six patients with severe COVID-19 infection, where we proposed that lithium carbonate could be used as a potential treatment for COVID-19. Now, we set out to conduct a randomized clinical trial number EudraCT 2020-002008-37 to evaluate the efficacy and safety of lithium treatment in patients infected with severe SARS-CoV-2. We showed that lithium was able to reduce the number of days of hospital and intensive care unit admission as well as the risk of death, reduces inflammatory cytokine levels by preventing cytokine storms, and also reduced the long COVID syndromes. We propose that lithium carbonate can be used to reduce the severity of COVID-19.

COVID-19 Mortality Among American Indian and Alaska Native Persons - 14 States, January-June 2020.

American Indian/Alaska Native (AI/AN) persons experienced disproportionate mortality during the 2009 influenza A(H1N1) pandemic (1,2). Concerns of a similar trend during the coronavirus disease 2019 (COVID-19) pandemic led to the formation of a workgroup* to assess the prevalence of COVID-19 deaths in the AI/AN population. As of December 2, 2020, CDC has reported 2,689 COVID-19-associated deaths among non-Hispanic AI/AN persons in the United States.† A recent analysis found that the cumulative incidence of laboratory-confirmed COVID-19 cases among AI/AN persons was 3.5 times that among White persons (3). Among 14 participating states, the age-adjusted AI/AN COVID-19 mortality rate (55.8 deaths per 100,000; 95% confidence interval [CI] = 52.5-59.3) was 1.8 (95% CI = 1.7-2.0) times that among White persons (30.3 deaths per 100,000; 95% CI = 29.9-30.7). Although COVID-19 mortality rates increased with age among both AI/AN and White persons, the disparity was largest among those aged 20-49 years. Among persons aged 20-29 years, 30-39 years, and 40-49 years, the COVID-19 mortality rates among AI/AN were 10.5, 11.6, and 8.2 times, respectively, those among White persons. Evidence that AI/AN communities might be at increased risk for COVID-19 illness and death demonstrates the importance of documenting and understanding the reasons for these disparities while developing collaborative approaches with federal, state, municipal, and tribal agencies to minimize the impact of COVID-19 on AI/AN communities. Together, public health partners can plan for medical countermeasures and prevention activities for AI/AN communities.

Impact of the Pandemic on NonInfected Cardiometabolic Patients: A Survey in Countries of Latin America-Rationale and Design of the CorCOVID LATAM Study.

BACKGROUND: The first case of coronavirus 2019 (COVID-19) in Latin America was detected on February 26th, 2020, in Brazil. Later, in June, the World Health Organization announced that the focus of the outbreak had shifted to Latin America, where countries already had poor control of indicators of noncommunicable diseases (NCDs). Concerns about coronavirus infection led to a reduced number of visits and hospitalizations in patients with NCDs, such as cardiovascular disease, diabetes, and cancer. There is a need to determine the impact of the COVID-19 pandemic on patients who have cardiometabolic diseases but do not have clinical evidence of COVID-19 infection. METHODS: The CorCOVID LATAM is a cross-sectional survey of ambulatory cardiometabolic patients with no history or evidence of COVID-19 infection. The study will be conducted by the Interamerican Society of Cardiology. An online survey composed of 38 questions using Google Forms will be distributed to patients of 13 Latin American Spanish-speaking countries from June 15th to July 15th, 2020. Data will be analyzed by country and regions. Seven clusters of questions will be analyzed: demographics, socioeconomic and educational level, cardiometabolic profile, lifestyle and habits, body-weight perception, medical follow-up and treatments, and psychological symptoms. RESULTS: Final results will be available upon completion of the study. CONCLUSIONS: The present study will provide answers regarding the impact of the COVID-19 pandemic on noninfected cardiometabolic patients. Data on this topic are scarce, as it is an unprecedented threat, without short-term solutions.

CONTEXTE: Le premier cas de maladie à coronavirus 2019 (COVID-19) en Amérique latine a été détecté le 26 février 2020 au Brésil. En juin, l'Organisation mondiale de la Santé a annoncé que le foyer de l'épidémie s'était déplacé en Amérique latine, où le suivi des indicateurs relatifs aux maladies non transmissibles est déjà déficient. Les préoccupations relatives à l'infection par le coronavirus ont entraîné une diminution du nombre de consultations et d'hospitalisations des patients atteints d'une maladie non transmissible, comme une ma-ladie cardiovasculaire, le diabète ou un cancer. Il est donc nécessaire d'évaluer l'incidence de la pandémie de COVID-19 chez les patients atteints d'une maladie cardiométabolique ne présentant aucun signe clinique d'une infection au virus de la COVID-19. MÉTHODOLOGIE: L'étude CorCOVID LATAM est une enquête transversale menée auprès des patients ambulatoires atteints d'une maladie cardiométabolique n'ayant pas d'antécédents d'infection au virus de la COVID-19 et ne présentant aucun signe d'une telle infection. L'étude est réalisée par la Société interaméricaine de cardiologie. Du 15 juin au 15 juillet 2020, on a demandé aux patients de 13 pays hispanophones d'Amérique latine de répondre à un questionnaire en ligne de 38 questions dans Google Forms. Les données seront analysées par pays et par région. Les réponses aux questions seront examinées selon sept grands thèmes : caractéristiques démographiques, caractéristiques socioéconomiques et niveau de scolarité, profil cardiométabolique, mode de vie et habitudes, perception quant au poids corporel, suivi et traitements médicaux et symptômes psychologiques. RÉSULTATS: Les résultats seront publiés à la fin de l'étude. CONCLUSIONS: L'étude fournira des renseignements sur l'incidence de la pandémie de COVID-19 chez les patients atteints d'une maladie cardiométabolique non infectés. Les données sur cette question sont rares, puisqu'il s'agit d'une menace sans précédent, à laquelle il n'existe de surcroît pas de solution à court terme.

COVID-19 Among American Indian and Alaska Native Persons - 23 States, January 31-July 3, 2020.

Although non-Hispanic American Indian and Alaska Native (AI/AN) persons account for 0.7% of the U.S. population,* a recent analysis reported that 1.3% of coronavirus disease 2019 (COVID-19) cases reported to CDC with known race and ethnicity were among AI/AN persons (1). To assess the impact of COVID-19 among the AI/AN population, reports of laboratory-confirmed COVID-19 cases during January 22†-July 3, 2020 were analyzed. The analysis was limited to 23 states§ with >70% complete race/ethnicity information and five or more laboratory-confirmed COVID-19 cases among both AI/AN persons (alone or in combination with other races and ethnicities) and non-Hispanic white (white) persons. Among 424,899 COVID-19 cases reported by these states, 340,059 (80%) had complete race/ethnicity information; among these 340,059 cases, 9,072 (2.7%) occurred among AI/AN persons, and 138,960 (40.9%) among white persons. Among 340,059 cases with complete patient race/ethnicity data, the cumulative incidence among AI/AN persons in these 23 states was 594 per 100,000 AI/AN population (95% confidence interval [CI] = 203-1,740), compared with 169 per 100,000 white population (95% CI = 137-209) (rate ratio [RR] = 3.5; 95% CI = 1.2-10.1). AI/AN persons with COVID-19 were younger (median age = 40 years; interquartile range [IQR] = 26-56 years) than were white persons (median age = 51 years; IQR = 32-67 years). More complete case report data and timely, culturally responsive, and evidence-based public health efforts that leverage the strengths of AI/AN communities are needed to decrease COVID-19 transmission and improve patient outcomes.