Chronic non-communicable diseases and COVID-19: EPICOVID-19 Brazil results

Severe Acute Respiratory Syndrome (SARS) in the Context of the COVID-19 Pandemic Among Indigenous Peoples of Brazil: Epidemiology and Risk Factors Associated with Death

INTRODUCTION

Severe Acute Respiratory Syndrome (SARS) represents a serious public health problem for the indigenous peoples of Brazil, since acute respiratory infections are the main causes of morbidity and mortality in this population.

OBJECTIVE

To assess cases of SARS in Brazilian indigenous peoples in the context of the COVID-19 pandemic, as well as sociodemographic and health factors associated with deaths from SARS in this population.

METHODS

Ecological study carried out based on secondary data from the Brazilian Database for Epidemiological Surveillance of Influenza referring to the Brazilian indigenous population with SARS in 2020. The variables included sociodemographic factors and health conditions. Statistical analyses were carried out considering absolute (n) and relative (%) frequencies and logistic regression with odds ratios (OR), with death as the outcome of interest.

RESULTS

A total of 3062 cases were reported in the analyzed period. Of these, there was a predominance of men (54.6%), adults (41.4%), with comorbidities (52.3%), with low levels of schooling (67.4%) and residents of rural areas (55.8%). Cases and deaths were concentrated in the states of Amazonas and Mato Grosso do Sul, states in the North and Midwest of Brazil. A greater chance of death was observed in elderly indigenous people (OR = 6.29; 95%CI 4.71-8.39), with low levels of schooling (OR = 1.72; 95%CI 1.22-2.28), residents of rural areas (OR = 1.35; 95%CI 1.12-1.62), and with comorbidities (OR = 1.87; 95%CI 1.42-2.46), especially obesity (OR = 2.56; 95%CI 1.07-6.11).

CONCLUSION

The study was able to trace the clinical-epidemiological profile, as well as identify the groups of indigenous people most vulnerable to SARS as a result of COVID-19 and evolution to death in Brazil. The findings show the high impact on the morbidity and mortality of the Brazilian indigenous population exposed to SARS and are relevant for epidemiological health surveillance, since they can guide preventive public policy actions and quality of life measures for this ethnic group in Brazil.

Bidirectionality between Cardiometabolic Diseases and COVID-19: Role of Humoral Immunity

Cardiometabolic diseases and abnormalities have recently emerged as independent risk factors of coronavirus disease 2019 (COVID-19) severity, including hospitalizations, invasive mechanical ventilation, and mortality. Determining whether and how this observation translates to more effective long-term pandemic mitigation strategies remains a challenge due to key research gaps. Specific pathways by which cardiometabolic pathophysiology affects humoral immunity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and vice versa, remain unclear. This review summarizes current evidence of the bidirectional influences between cardiometabolic diseases (diabetes, adiposity, hypertension, CVDs) and SARS-CoV-2 antibodies induced from infection and vaccination based on human studies. Ninety-two studies among >408,000 participants in 37 countries on 5 continents (Europe, Asia, Africa, and North and South America) were included in this review. Obesity was associated with higher neutralizing antibody titers following SARS-CoV-2 infection. Most studies conducted prior to vaccinations found positive or null associations between binding antibodies (levels, seropositivity) and diabetes; after vaccinations, antibody responses did not differ by diabetes. Hypertension and CVDs were not associated with SARS-CoV-2 antibodies. Findings underscore the importance of elucidating the extent that tailored recommendations for COVID-19 prevention, vaccination effectiveness, screening, and diagnoses among people with obesity could reduce disease burden caused by SARS-CoV-2.

Análise comparativa das características demográficas, sintomatologia e comorbidades de adultos e idosos notificados e confirmados com COVID-19 nas capitais brasileiras

Objetivo: comparar o perfil demográfico, a sintomatologia e as comorbidades de adultos e idosos notificados com COVID-19 nas capitais brasileiras e no Distrito Federal. Métodos: estudo ecológico, desenvolvido a partir dos dados da plataforma online e-SUS Notifica, preenchidos até dia 4 de janeiro de 2021, com amostra constituída por 1.416.252 indivíduos, utilizando como critérios de inclusão: ter idade > 20 anos; residir nas capitais brasileiras ou no Distrito Federal; e apresentar resultado do teste positivo para COVID-19. A análise descritiva contou com a exposição das frequências absoluta e relativa e medidas de tendência central. Para análise inferencial, aplicou-se o teste qui-quadrado de Pearson, considerando diferença significativa para valores de p<0,05. Resultados: predominou sexo masculino (52%), com média de idade de 43,29 ± 14,85 anos. Os indivíduos apresentaram tosse (45,4%), febre (38,8%) e outros sintomas (83,1%). As comorbidades mais prevalentes foram: doenças cardíacas (7,1%) e diabetes (4,5%). Houve diferença significativa (p<0,001) entre as regiões brasileiras, ao comparar sexo, idade, ser profissional da saúde, sintomas e comorbidades. Conclusão: os dados contribuíram para o conhecimento acerca do processo epidêmico de COVID-19 no Brasil, no primeiro ano de pandemia, e demonstrou a distribuição dos casos e as relações existentes entre perfil demográfico, sintomatologia e doenças pré-existentes com os agrupados das capitais brasileiras.

Factors Associated With the Illness of Nursing Professionals Caused by COVID-19 in Three University Hospitals in Brazil

Background

The coronavirus disease 2019 (COVID-19) pandemic has demonstrated the importance of implementing strategic management that prioritizes the safety of frontline nurse professionals. In this sense, this research was aimed at identifying factors associated with the illness of nursing professionals caused by COVID-19 according to socio-demographic, clinical, and labor variables.

Methods

A cross-sectional study was conducted in three Brazilian university hospitals with 859 nursing professionals, which include nurses, technicians, and nursing assistants, between November 2020 and February 2021. We present data using absolute and relative frequency. We used Chi-square test for hypothesis testing and multiple logistic regression for predictive analysis and chances of occurrence.

Results

The rate of nursing professionals affected by COVID-19 was 41.8%, and the factors associated with contamination were the number of people in the same household with COVID-19 and obesity. Being a nurse was a protective factor when the entire nursing team was considered. The model is significant, and its variables represent 56.61% of the occurrence of COVID-19 in nursing professionals.

Conclusion

Obesity and living in the same household as other people affected by COVID-19 increases the risk of contamination by this new coronavirus.

Women engaged in prostitution and COVID-19: why are they excluded from socially vulnerable groups?

This study analyzed the exposure of women engaged in prostitution in downtown São Paulo to COVID-19. This cross-sectional study had a convenience sample selected in May 2021. We interviewed 219, mostly black, middle-aged, poor women with comorbidities. Among them, 61 had shown COVID-19 symptoms, 23, tested positive for the disease, seven underwent hospitalization, and four reported post-COVID-19 complications. Only 26 (30.2%) had been vaccinated. In addition to gender, race, and class inequalities, these women suffer both from a higher risk of contracting COVID-19 due to their working conditions and from the subsequent worsening of that disease due to age and lack of vaccination.

Obesity and COVID-19 in-hospital fatality in southern Brazil: impact by age and skin color

OBJECTIVES

To estimate the relative risk (RR) of death associated with obesity, the attributable fraction in the exposed/with obesity (AF_o), and the hospitalized population attributable risk (hospitalized PAR) associated with obesity of death among all adults and among Black and non-Black adults hospitalized for severe COVID-19 in the state of Rio Grande do Sul, Brazil.

METHODS

This retrospective cohort study of prognostic factors analyzed all cases of adults hospitalized for severe COVID-19 in the state of Rio Grande do Sul, Brazil. The occurrence of obesity was measured using secondary data from hospital teams’ surveillance records. The outcome assessed was hospital deaths caused by severe COVID-19. Poisson regression was used to estimate RRs and 95% confidence intervals (95%CI).

RESULTS

The study sample consisted of 100,099 patients hospitalized for severe COVID-19, most of whom were White (84.7%) and male (54.7%). The effect of obesity was strongly modified by age, being higher in younger age groups. For the 18–39-year-old age group, RR = 2.54 (95%CI: 2.33–2.77), and in individuals 70 years and above, RR = 1.09 (95%CI: 1.05–1.13). For the 18–39-year-old age range, AF_o = 60.6% and AF_o = 42.5% in individuals 40–59 years old. For all hospitalizations, Hospitalized PAR measuring obesity for individuals 18–39 years old was 25.3%, while in the 40–59-year-old range, the hospitalized PAR = 11.2%. The hospitalized PAR was 31.7% in the Black population aged 18–39 years and 24.8% in non-Blacks. The hospitalized PAR was also larger in Blacks aged 40-59 years.

CONCLUSIONS

Obesity largely impacted in-hospital case-fatality rates among young adults and Black people contaminated by COVID-19. These data highlight the extent of the risk concerning obesity, a highly prevalent chronic condition.

Covid Adult Mortality in Brazil: An Analysis of Multiple Causes of Death

Objective

This study aimed to analyze the chain of events and contributing causes associated with COVID-19 adult mortality (30–69 years old), based on qualified data on CoD from three Brazilian capitals cities, Belo Horizonte, Salvador, and Natal, in 2020.

Methods

Data of all deaths among residents in the three capitals in 2020 were provided by these municipalities' routine Mortality Information System (SIM). Mentions B34.2 with the markers U07.1 and U07.2 in the death certificate identified COVID-19 deaths. We used a multiple-cause-of-death approach better to understand the complexity of the morbid process of COVID-19. Conditions that appeared more frequently in the same line or above the COVID-19 mentions in the death certificate were considered a chain-of-event. Conditions that occurred more often after the codes for COVID-19 were considered as contributing.

Results

In 2020, 7,029 records from COVID-19 as the underlying cause of death were registered in SIM in the three capitals. Among these, 2,921 (41.6%) were deceased between 30 and 69 years old, representing 17.0% of deaths in this age group. As chain-of-events, the most frequent conditions mentioned were sepsis (33.4%), SARS (32.0%), acute respiratory failure (31.9%), unspecified lower respiratory infections (unspecified pneumonia) (20.1%), and other specified respiratory disorders (14.1%). Hypertension (33.3%), diabetes unspecified type (21.7%), renal failure (12.7%), obesity (9.8%), other chronic kidney diseases (4.9%), and diabetes mellitus type 2 (4.7%) were the most frequent contributing conditions. On average, 3.04 conditions were mentioned in the death certificate besides COVID-19. This average varied according to age, place of death, and capital.

Conclusion

The multiple-cause analysis is a powerful tool to better understand the morbid process due to COVID-19 and highlight the importance of chronic non-communicable diseases as contributing conditions.