Dataset Information

Adults at high-risk of severe coronavirus disease-2019 (Covid-19) in Brazil.

ABSTRACT: OBJECTIVE To estimate the proportion and total number of the general adult population who may be at higher risk of severe Covid-19 in Brazil. METHODS We included 51,770 participants from a nationally representative, household-based health survey (PNS) conducted in Brazil. We estimated the proportion and number of adults (? 18 years) at risk of severe Covid-19 by sex, educational level, race/ethnicity, and state based on the presence of one or more of the following risk factors: age ? 65 years or medical diagnosis of cardiovascular disease, diabetes, hypertension, chronic respiratory disease, cancer, stroke, chronic kidney disease and moderate to severe asthma, smoking status, and obesity. RESULTS Adults at risk of severe Covid-19 in Brazil varied from 34.0% (53 million) to 54.5% (86 million) nationwide. Less-educated adults present a 2-fold higher prevalence of risk factors compared to university graduated. We found no differences by sex and race/ethnicity. São Paulo, Rio de Janeiro, Minas Gerais, and Rio Grande do Sul were the most vulnerable states in absolute and relative terms of adults at risk. CONCLUSIONS Proportion and total number of adults at risk of severe Covid-19 are high in Brazil, with wide variation across states and adult subgroups. These findings should be considered while designing and implementing prevention measures in Brazil. We argue that these results support broad social isolation measures, particularly when testing capacity for SARS-CoV-2 is limited.

SUBMITTER: Rezende LFM

PROVIDER: S-EPMC7234208 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Adults at high-risk of severe coronavirus disease-2019 (Covid-19) in Brazil.

Rezende Leandro F M LFM Thome Beatriz B Schveitzer Mariana Cabral MC Souza-Júnior Paulo Roberto Borges de PRB Szwarcwald Célia Landmann CL Szwarcwald Célia Landmann CL

Revista de saude publica 20200520

OBJECTIVE To estimate the proportion and total number of the general adult population who may be at higher risk of severe Covid-19 in Brazil. METHODS We included 51,770 participants from a nationally representative, household-based health survey (PNS) conducted in Brazil. We estimated the proportion and number of adults (≥ 18 years) at risk of severe Covid-19 by sex, educational level, race/ethnicity, and state based on the presence of one or more of the following risk factors: age ≥ 65 years or ...[more]

PMID: 32491091

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Project description:Objective:Clinical and laboratory biomarkers to predict the severity of coronavirus disease 2019 (COVID-19) are essential in this pandemic situation of which resource allocation must be urgently prepared especially in the context of respiratory support readiness. Lymphocyte count has been a marker of interest since the first COVID-19 publication. We conducted a systematic review and meta-analysis in order to investigate the association of lymphocyte count on admission and the severity of COVID-19. We would also like to analyze whether patient characteristics such as age and comorbidities affect the relationship between lymphocyte count and COVID-19. Methods:Comprehensive and systematic literature search was performed from PubMed, SCOPUS, EuropePMC, ProQuest, Cochrane Central Databases, and Google Scholar. Research articles in adult patients diagnosed with COVID-19 with information on lymphocyte count and several outcomes of interest, including mortality, acute respiratory distress syndrome (ARDS), intensive care unit (ICU) care, and severe COVID-19, were included in the analysis. Inverse variance method was used to obtain mean differences and its standard deviations. Maentel-Haenszel formula was used to calculate dichotomous variables to obtain odds ratios (ORs) along with its 95% confidence intervals. Random-effect models were used for meta-analysis regardless of heterogeneity. Restricted-maximum likelihood random-effects meta-regression was performed for age, gender, cardiac comorbidity, hypertension, diabetes mellitus, COPD, and smoking. Results:There were a total of 3099 patients from 24 studies. Meta-analysis showed that patients with poor outcome have a lower lymphocyte count (mean difference - 361.06 μL [- 439.18, - 282.95], p < 0.001; I 2 84%) compared to those with good outcome. Subgroup analysis showed lower lymphocyte count in patients who died (mean difference - 395.35 μL [- 165.64, - 625.07], p < 0.001; I 2 87%), experienced ARDS (mean difference - 377.56 μL [- 271.89, - 483.22], p < 0.001; I 2 0%), received ICU care (mean difference - 376.53 μL [- 682.84, - 70.22], p = 0.02; I 2 89%), and have severe COVID-19 (mean difference - 353.34 μL [- 250.94, - 455.73], p < 0.001; I 2 85%). Lymphopenia was associated with severe COVID-19 (OR 3.70 [2.44, 5.63], p < 0.001; I 2 40%). Meta-regression showed that the association between lymphocyte count and composite poor outcome was affected by age (p = 0.034). Conclusion:This meta-analysis showed that lymphopenia on admission was associated with poor outcome in patients with COVID-19.

Project description:BackgroundDuring the coronavirus disease 2019 (COVID-19) pandemic, Iran reported its first confirmed cases of syndrome coronavirus 2 (SARS-CoV-2) infections on 19 February 2020 in Qom. Although the numbers of cases are increasing, no report about clinical manifestations, laboratory results, and imaging findings of the children infected with COVID-19 in Iran has been published. The aim of this study was to evaluate the epidemiological, clinical, and radiological and laboratory findings of 24 children who had proven SARS-CoV-2 infection and performed chest computed tomographic (CT) in Qom, Iran.MethodsDemographic information and clinical characteristics of the patients including signs and symptoms, chest CT scan manifestation, laboratory findings and clinical outcomes were collected. Diagnosing of the confirmed case was based on positive real-time reverse-transcriptase-polymerase-chain-reaction test for SARS-CoV-2.FindingsDuring the first 3 months of the epidemic in Qom, Iran, 24 children with confirmed diagnosis of COVID-19 were included. The median age of the cases was 6 years [inter-quartile range 3.5-9.5 years]. The most common presenting symptoms were fever (100%), dry cough (62.5%), tachypnea (29%), abdominal pain (21%), and vomiting (21%). Three cases (12.5%) presented with a history of diarrhea in addition to fever and cough. According to the chest CT findings, 2 cases (8%) showed no abnormality. Typical CT findings were found in 6 patients (25%), 2 patients showed indeterminate appearance, and 14 patients (58%) showed atypical findings. Two children with SARS-CoV-2 infection manifested as a hyperinflammatory syndrome with multi-organ involvement similar to Kawasaki disease shock syndrome. Seventy-one percent of the patients showed severe SARS-CoV-2 infection and the mortality of 12.5% (3 cases) were reported.InterpretationHigh frequency of atypical chest CT finding in children should raise concern for pediatricians. Early recognition of patients with SARS-CoV-2 infection is of crucial importance in controlling of the outbreak and atypical imaging features should be interpreted with caution.

Project description:BackgroundCoronavirus Disease 2019 (COVID-19) became the deadliest pandemic of the new millennium. One year after it became a pandemic, the current COVID-19 situation in Brazil is an example of how the impacts of a pandemic are beyond health outcomes and how health, social, and political actions are intertwined.ObjectivesWe aimed to provide an overview of the first year of the COVID-19 pandemic in Brazil, from a social and political point of view, and to discuss the perspectives from now on.MethodsThis is a narrative review using official, scientific (PubMed, Medline, and SciELO databases) and publicly available data. Press articles were also used that contain important information not found in these databases.FindingsWe address the impacts of COVID-19 in different regions of Brazil, on indigenous populations, health care workers, and how internal social contrasts impacted the pandemics advance across the country. We also discuss key points that culminated in the countrys failed management of the COVID-19 spread, such as poor management of the public health care system, disparities between public and private health care infrastructure, lack of mass testing and viral spread tracking, lack of preparedness and planning to implement strict isolation and social distancing measures, and, most importantly, political instability, a deteriorating Health Ministry and sabotaging attitudes of the countrys president, including anti-scientific actions, underplaying COVID-19 severity, spreading and powering fake news about the pandemic, promoting knowingly inefficient medications for COVID-19 treatment, and interference in collective health policies, including the countrys vaccination plan.ConclusionsAfter one year of COVID-19 and a disastrous management of the disease, Brazil has more than 11 million cases, 270,000 deaths, and the highest number of daily deaths due to COVID-19 in the world, most of which could have been avoided and can be credited to negligence of municipal, state, and federal authorities, especially President Jair Messias Bolsonaro. Unfortunately, the country is an example of what not to do in a pandemic setting.Key pointsOne year after COVID-19 was declared a pandemic, Brazil had the second higher number of cases and deaths, and the highest number of daily deaths due to the disease. Lack of massive testing, non-stringent and ineffective collective health policies, poor management of the public health care system, and political instability were the main drivers of the countrys flawed management of the COVID-19 advancement. Anti-science and sabotaging actions by government had a pivotal role in the countrys current situation. Brazil has a large territory and is marked by social contrasts among different regions and states, which showed contrasting data regarding the impact caused by COVID-19. COVID-19 databases and data sharing are important to provide an overview of epidemiological aspects of the disease; however, Brazil lacks standardization in these datasets.

Dataset Information

Adults at high-risk of severe coronavirus disease-2019 (Covid-19) in Brazil.

Publications

Adults at high-risk of severe coronavirus disease-2019 (Covid-19) in Brazil.

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