Description and comparison of demographic characteristics and comorbidities in SARI from COVID-19, SARI from influenza, and the Brazilian general population

Geographic inequalities and factors associated with unfavorable outcomes in diabetes-tuberculosis and diabetes-covid comorbidities in Brazil

The rapid spread of COVID-19 have overwhelmed health systems, especially in the care of chronic disease such as tuberculosis and diabetes. The objective of the study was to analyze the magnitude and relevance of tuberculosis-diabetes and diabetes-COVID-19 comorbidities in spatial risk areas and their factors associated with unfavorable outcomes in the Brazilian population between 2020 and 2022. An ecological study was carried out in Brazilian municipalities. The population was composed by cases of tuberculosis-diabetes and diabetes-COVID-19 comorbidities, registered in the Influenza Epidemiological Surveillance Information System (SIVEP-GRIPE) and in DATASUS from 2020 to 2022. The Scan Statistics technique was used to identify spatial risk clusters. Binary logistic regression was then employed to understand the relationship between outcomes and comorbidities, considering clinical and sociodemographic variables. A total of 24,750 cases of tuberculosis-diabetes comorbidity were identified, which consisted of an incidence of 3.2 cases per 100,000 inhabitants. Risk clusters were identified in the Central-West and North regions. 303,210 cases of diabetes- COVID-19 comorbidity were identified, resulting in an incidence of 0.4 cases per 100,000 inhabitants. São Paulo-SP, Rio de Janeiro-RJ and Belo Horizonte-MG were the municipalities with the highest spatial risk of illness. The analysis of the spatial risk areas revealed distinct patterns in the geographic distribution of comorbidities. Based on the findings, it is concluded that comorbidities between tuberculosis and diabetes, as well as between COVID-19 and diabetes, represent significant challenges for public health in Brazil, deserving attention from health authorities and the scientific community.

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.

A Retrospective Cross-Sectional Analysis of Viral SARI in Pregnant Women in Southern Brazil

Pregnant women (PW) are at a higher risk of diseases and hospitalization from viral respiratory infections, particularly influenza and SARS-CoV-2, due to cardiopulmonary and immunological changes. This study assessed the impact of viral respiratory infections on PW hospitalized with severe acute respiratory infection (SARI) prior to the COVID-19 pandemic. It is a cross-sectional study with 42 PW and 85 non-pregnant women (NPW) admitted with SARI to two tertiary hospitals between January 2015 and December 2019. The rates of virus prevalence, SARI hospitalization, length of hospital stay, oxygen supplementation, intensive care unit (ICU) admission, and death were comparable between PW and NPW. A multivariate analysis showed that PW had a higher rate of viral SARI hospitalizations (OR = 2.37; 95% CI = 1.02-5.48) as compared to NPW, with the influenza virus being the most prevalent (aOR = 7.58; 95% CI = 1.53-37.66). The length of hospital stays (aOR = 0.83; 95% CI = 0.73-0.95) and admissions to the ICU (aOR = 0.028; 95% CI = 0.004-0.25) were lower in PW as compared to hospitalized NPW. The influenza virus had a greater impact on the frequency of SARI in the group of PW, and these had a better outcome than NPW due to the earlier antiviral treatment they received.

Sociodemographic Profile and Risk Factors for the Evolution of Patients with COVID-19 in ICUs in Brazil: A Cross-Sectional Study

This is a cross-sectional study, with secondary data from Brazilian hospitals in the state of Paraíba, between January 2021 and January 2022. The evolution of clinical cases configured the dependent variable (cure or death), while the predictive variables were sociodemographic data, risk factors, use of ventilatory support, and vaccination against COVID-19. With the help of R software, the following tests were used: chi-square, Pearson's chi-square, and Fisher's exact adherence. Simple logistic regression models were constructed, and odds ratios (95% CI) were estimated using the LR test and Wald test. 7373 cases were reported, with a mean age of 58.1. Of the reported cases, 63.8% died. The most frequent sociodemographic profile included male people, of mixed race, with less than eight years of schooling. Chronic cardiovascular disease (OR 1.28; 95% CI: 1.13-1.45), diabetes (OR 1.41; 95% CI: 1.24-1.61), lung disease (OR 1.52; 95% CI: 1.11-2.09), and the use of invasive ventilatory support (OR 14.1; 95% CI: 10.56-18.59) were all associated with increased mortality. Nonvaccination was associated with a decreased risk of death (OR 0.74; 95% CI: 0.65-0.84). Male patients, nonwhite, and those with low education were more likely to have a worse clinical outcome. The risk factors studied were related to deaths, and those who did not require ventilatory support were related to cure.

Vaccine effectiveness in preventing deaths in people with severe acute respiratory syndrome due to COVID-19 in Blumenau, Brazil, 2021

OBJECTIVE

to analyze the vaccine effectiveness in preventing deaths attributed to severe acute respiratory syndrome due to COVID-19 (SARS/COVID-19) in adults and the elderly, in Blumenau, state of Santa Catarina, Brazil, 2021.

this was a population-based study conducted among individuals aged 20 years and older hospitalized with SARS/COVID-19; each death due to SARS/COVID-19 was considered a "case", and every survivor was considered a "control"; the association between vaccination status and the outcome of "death" was estimated using logistic regression, and vaccine effectiveness was estimated as (1-OR)*100.

The study included 1,756 cases of SARS/COVID-19 (59.2% male, mean age of 56 years, 50.4% with elementary education, 68.4% with comorbidities and 39.1% in intensive care), of whom 398 died (cases) and 1,358 survived (controls); vaccine effectiveness was 74% and 85% (20-59 years old) and 72% and 75% (≥ 60 years old), respectively, for those who were partially vaccinated and fully vaccinated.

CONCLUSION

vaccines proved to be effective in reducing case fatality ratio due to SARS/COVID-19 in individuals ≥ 20 years old.

[COVID-19 mortality in metropolitan areas vs. other regions of Brazil, 2020 to 2021Mortalidad por COVID-19 en las regiones metropolitanas y en el interior de Brasil, 2020-2021]

Objective

To compare hospital mortality rates (HMR) due to severe acute respiratory syndrome (SARS) associated with COVID-19 recorded in metropolitan areas and other regions (interior) of Brazil in 2020 and 2021.

Method

This ecological study used public data available on OpenDataSUS. The information was accessed in May 2022. The following variables were considered: age, sex, hospitalization, presence of a risk factor, ICU stay, use of ventilatory support, and final classification in the individual registration form of SARS cases due to COVID-19. Cases and deaths were stratified into five age groups (0-19 years, 20-39 years, 40-59 years, 60-79 years, and ≥80 years) and by place of residence (metropolitan area or interior). The HMR had as numerator the absolute number of deaths by SARS associated with covid-19; and, as a denominator, the absolute number of cases of SARS due to covid-19 according to the year of occurrence, area of residence, age bracket, sex, hospitalization, presence of a risk factor, ICU admission, and use of ventilatory support.

Results

There was a significant increase in HMR due to SARS associated with COVID-19 in 2021 in all age groups, except 0-19 years and ≥80 years, as well as among individuals admitted to an ICU and who used invasive ventilatory support, both in metropolitan areas as well as in the interior.

Conclusions

There was a worsening of the epidemiological scenario in 2021 with an increase in HMR. However, no differences were identified between the metropolitan regions and the interior of the country.

Trends in the morbidity and mortality of coronavirus disease 2019 in different ethnic groups and gender in a large Brazilian city

As the coronavirus disease 2019 (COVID-19) outbreak spread, evidence has emerged that gender and race would bear a disproportionate impact on the morbimortality of COVID-19. Here, we conducted a retrospective observational study using the TabNet/Departamento de informática do sistema único de saúde platform of the city of São Paulo. COVID-19 records from March 2020 through December 2021 were included, and we evaluated the temporal trends of confirmed cases and case fatality rate by gender and ethnicity. Statistical analysis was performed using the R-software and BioEstat-software, considering p < 0.05 significant. From March/2020 to December/2021, 1 315 160 COVID-19 confirmed cases were recorded (57.1% females), and 2973 deaths were due to COVID-19. Males presented higher median mortality (0.44% vs. 0.23%; p < 0.05) and intensive care unit (ICU) admission rates (0.34% vs. 0.20%; p < 0.05). Men were also associated with a higher risk of death (risk ratio [RR] = 1.28; p < 0.05) and a higher chance of requiring ICU care (RR = 1.29; p < 0.05). Black ethnicity was associated with a higher risk of death (RR = 1.19; p < 0.05). White patients were more likely to require ICU admission (RR = 1.13; p < 0.05), whereas Browns were associated with a protective effect (RR = 0.86; p < 0.05). Furthermore, men presented a higher chance of death than women across the three major ethnic groups: Whites (RR = 1.33; p < 0.05), Blacks (RR = 1.24; p < 0.05), and Browns (RR = 1.35; p < 0.05). In this study of COVID-19 in São Paulo, men were associated with worse outcomes, including in the three major ethnicities in the population. Blacks exhibited a higher risk of death, Whites were more likely to require intensive care, and Browns were at protection from ICU hospitalization.

Avaliação dos dados de mortes por COVID-19 nas bases dos cartórios do RC-Arpen, SIVEP-Gripe e SIM no Brasil em 2020

Este estudo compara os registros de óbitos por COVID-19 em 2020 para todo o território nacional. Utilizamos três bases distintas: Registro Civil (RC-Arpen), Sistema de Informação sobre Mortalidade (SIM) e Sistema de Informação da Vigilância Epidemiológica da Gripe (SIVEP-Gripe). Há discordâncias entre os números de mortes por COVID-19 divulgados pelas diversas bases e essas diferenças variam em cada Unidade da Federação. A base do RC-Arpen é atualizada mais rapidamente que as outras duas bases do Departamento de Informática do Sistema Único de Saúde - DATASUS (SIM e SIVEP-Gripe), além de ser mais indicada para monitoramentos e pesquisas que abrangem períodos mais recentes. Apesar da atualização mais lenta, as bases do DATASUS apresentam números geograficamente similares e divulgam dados mais detalhados sobre as mortes. Esse detalhamento das informações torna as bases do DATASUS mais adequadas para pesquisas que demandam mais informações sobre o paciente e o tratamento.

Surveillance of Severe Acute Respiratory Infection and Influenza Vaccine Effectiveness among Hospitalized Italian Adults, 2021/22 Season

Following an extremely low incidence of influenza during the first waves of the ongoing COVID-19 pandemic, the 2021/22 Northern Hemisphere winter season saw a resurgence of influenza virus circulation. The aim of this study was to describe epidemiology of severe acute respiratory infections (SARIs) among Italian adults and estimate the 2021/22 season influenza vaccine effectiveness. For this purpose, a test-negative case-control study was conducted in a geographically representative sample of Italian hospitals. Of 753 SARI patients analyzed, 2.5% (N = 19) tested positive for influenza, most of which belonged to the A(H3N2) subtype. Phylogenetic analysis showed that these belonged to the subclade 3C.2a1b.2a.2, which was antigenically different from the 2021/22 A(H3N2) vaccine component. Most (89.5%) cases were registered among non-vaccinated individuals, suggesting a protective effect of influenza vaccination. Due to a limited number of cases, vaccine effectiveness estimated through the Firth's penalized logistic regression was highly imprecise, being 83.4% (95% CI: 25.8-97.4%) and 83.1% (95% CI: 22.2-97.3%) against any influenza type A and A(H3N2), respectively. Exclusion of SARS-CoV-2-positive controls from the model did not significantly change the base-case estimates. Within the study limitations, influenza vaccination appeared to be effective against laboratory-confirmed SARI.

Influence of Population Size, the Human Development Index and the Gross Domestic Product on Mortality by COVID-19 in the Southeast Region of Brazil

We evaluated the influence of population size (POP), HDI (Human Development Index) and GDP (gross domestic product) on the COVID-19 pandemic in the Southeast region of Brazil, between February 2020 and May 2021.

METHODS

Cases, deaths, incidence coefficient, mortality rate and lethality rate were compared among states. The cities were divided into strata according to POP, GDP, and HDI. Data were compared by Welch's ANOVA, nonlinear polynomial regression, and Spearman's correlation test (rS).

RESULTS

The highest incidence coefficient (p < 0.0001) and mortality rate (p < 0.05) were observed in the states of Espírito Santo and Rio de Janeiro, respectively. Until the 45th week, the higher the POP, the higher the mortality rate (p < 0.01), with no differences in the remaining period (p > 0.05). There was a strong positive correlation between POP size and the number of cases (rS = 0.92, p < 0.0001) and deaths (rS = 0.88, p < 0.0001). The incidence coefficient and mortality rate were lower (p < 0.0001) for low GDP cities. Both coefficients were higher in high- and very high HDI cities (p < 0.0001). The lethality rate was higher in the state of Rio de Janeiro (p < 0.0001), in large cities (p < 0.0001), in cities with medium GDP (p < 0.0001), and in those with high HDI (p < 0.05).

CONCLUSIONS

Both incidence and mortality were affected by time, with minimal influence of POP, GDP and HDI.

Factors associated with death due to severe acute respiratory syndrome caused by influenza: Brazilian population study

Introduction

Influenza infection is characterized by acute viral infection of high transmissibility. Worsening of the case can lead to the need for hospitalization, severe acute respiratory syndrome (SARS) and even death.

Method

This is a cross-sectional population-based study that used secondary database from the Brazilian Influenza Epidemiological Surveillance Information System. Only cases of adults with diagnosis of influenza by RT-PCR and case evolution recorded were included.

Results

We identified 2,273 adults with SARS by influenza, 343 of which had death as an outcome. The main risk factors for death were lack of hospitalization, not having cough and age, both with p<0.001. In addition, without asthma, having black skin color, not receiving flu vaccine, having brown skin color and not having a sore throat (p≤ 0.005) were risk factors too.

Conclusion

Factors associated with death due to SARS caused by influenza in Brazil, risk factors and protective factors to death were identified. It was evident that those who did not receive the flu vaccine presented twice the risk of unfavorable outcome, reinforcing the need to stimulate adherence to vaccination adhering and propose changes in public policies to make influenza vaccines available to the entire population, in order to prevent severe cases and unfavorable outcomes.

Epidemiologic Profile of Severe Acute Respiratory Infection in Brazil During the COVID-19 Pandemic: An Epidemiological Study

Background

The COVID-19 is a significant public health issue, and monitoring confirmed cases and deaths is an essential epidemiologic tool. We evaluated the features in Brazilian hospitalized patients due to severe acute respiratory infection (SARI) during the COVID-19 pandemic in Brazil. We grouped the patients into the following categories: Influenza virus infection (G1), other respiratory viruses' infection (G2), other known etiologic agents (G3), SARS-CoV-2 infection (patients with COVID-19, G4), and undefined etiological agent (G5).

Methods

We performed an epidemiological study using data from DataSUS (https://opendatasus.saude.gov.br/) from December 2019 to October 2021. The dataset included Brazilian hospitalized patients due to SARI. We considered the clinical evolution of the patients with SARI during the COVID-19 pandemic according to the SARI patient groups as the outcome. We performed the multivariate statistical analysis using logistic regression, and we adopted an Alpha error of 0.05.

Results

A total of 2,740,272 patients were hospitalized due to SARI in Brazil, being the São Paulo state responsible for most of the cases [802,367 (29.3%)]. Most of the patients were male (1,495,416; 54.6%), aged between 25 and 60 years (1,269,398; 46.3%), and were White (1,105,123; 49.8%). A total of 1,577,279 (68.3%) patients recovered from SARI, whereas 701,607 (30.4%) died due to SARI, and 30,551 (1.3%) did not have their deaths related to SARI. A major part of the patients was grouped in G4 (1,817,098; 66.3%) and G5 (896,207; 32.7%). The other groups account for &lt;1% of our sample [G1: 3,474 (0.1%), G2: 16,627 (0.6%), and G3: 6,866 (0.3%)]. The deaths related to SARI were more frequent in G4 (574,887; 34.7%); however, the deaths not related to SARI were more frequent among the patients categorized into the G3 (1,339; 21.3%) and G5 (25,829; 4.1%). In the multivariate analysis, the main predictors to classify the patients in the G5 when compared with G4 or G1-G4 were female sex, younger age, Black race, low educational level, rural place of residence, and the use of antiviral to treat the clinical signs. Furthermore, several features predict the risk of death by SARI, such as older age, race (Black, Indigenous, and multiracial background), low educational level, residence in a flu outbreak region, need for intensive care unit, and need for mechanical ventilatory support.

Conclusions

The possible COVID-19 underreporting (G5) might be associated with an enhanced mortality rate, more evident in distinct social groups. In addition, the patients' features are unequal between the patients' groups and can be used to determine the risk of possible COVID-19 underreporting in our population. Patients with a higher risk of death had a different epidemiological profile when compared with patients who recovered from SARI, like older age, Black, Indigenous, and multiracial background races, low educational level, residence in a flu outbreak region, need for intensive care unit and need for mechanical ventilatory support.

COVID-19 Underreporting in Brazil among Patients with Severe Acute Respiratory Syndrome during the Pandemic: An Ecological Study

Underreporting of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection is a global problem and might hamper Coronavirus Disease (COVID-19) epidemiological control. Taking this into consideration, we estimated possible SARS-CoV-2 infection underreporting in Brazil among patients with severe acute respiratory syndrome (SARS). An ecological study using a descriptive analysis of the SARS report was carried out based on data supplied by the Influenza Epidemiological Surveillance Information (SIVEP)-Flu (in Brazilian Portuguese, Sistema de Vigilância Epidemiológica da Gripe) in the period between January 2015 and March 2021. The number of SARS cases and related deaths after infection by SARS-CoV-2 or Influenzae was described. The estimation of underreporting was evaluated considering the relative increase in the number of cases with undefined etiological agent comparing 2020 to 2015−2019; and descriptive analysis was carried out including data from January−March/2021. In our data, SARS-CoV-2 infection and the presence of SARS with undefined etiological agent were associated with the higher number of cases and deaths from SARS in 2020/2021. SARS upsurge was six times over that expected in 2020, according to SARS seasonality in previous years (2015−2019). The lowest possible underdiagnosis rate was observed in the age group < 2 y.o. and individuals over 30 y.o., with ~50%; while in the age groups 10−19 and 20−29 y.o., the rates were 200−250% and 100%, respectively. For the remaining age groups (2−5 and 5−9 y.o.) underreporting was over 550%, except for female individuals in the age group 2−5 y.o., in which a ~500% rate was found. Our study described that the SARS-CoV-2 infection underreporting rate in Brazil in SARS patients is alarming and presents different indices, mainly associated with the patients’ age groups. Our results, mainly the underreporting index according to sex and age, should be evaluated with caution.

Deaths due to COVID-19 in a state of northeastern Brazil: spatiotemporal distribution, sociodemographic and clinical and operational characteristics

BACKGROUND

The detection of spatiotemporal clusters of deaths by coronavirus disease 2019 (COVID-19) is essential for health systems and services, as it contributes to the allocation of resources and helps in effective decision making aimed at disease control and surveillance. Thus we aim to analyse the spatiotemporal distribution and describe sociodemographic and clinical and operational characteristics of COVID-19-related deaths in a Brazilian state.

METHODS

A descriptive and ecological study was carried out in the state of Maranhão. The study population consisted of deaths by COVID-19 in the period from 29 March to 31 July 2020. The detection of spatiotemporal clusters was performed by spatiotemporal scan analysis.

RESULTS

A total of 3001 deaths were analysed with an average age of 69 y, predominantly in males, of brown ethnicity, with arterial hypertension and diabetes, diagnosed mainly by reverse transcription polymerase chain reaction in public laboratories. The crude mortality rates the municipalities ranged from 0.00 to 102.24 deaths per 100 000 inhabitants and three spatiotemporal clusters of high relative risk were detected, with a mortality rate ranging from 20.25 to 91.49 deaths per 100 000 inhabitants per month. The headquarters was the metropolitan region of São Luís and municipalities with better socio-economic and health development.

CONCLUSIONS

The heterogeneous spatiotemporal distribution and the sociodemographic and clinical and operational characteristics of deaths by COVID-19 point to the need for interventions.

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.

Clinical outcomes of coronavirus disease 2019 and seasonal influenza in patients with hematological disorders: a retrospective study

Objective: The differences in clinical outcomes in hospitalized patients with hematological disorders (HD) who developed either coronavirus disease 2019 (COVID-19) or seasonal influenza (SI) are not fully understood. To examine these differences, we retrospectively analyzed the baseline characteristics and clinical outcomes of hospitalized patients with HD admitted from 2016 to 2021.

Patients and Methods: Patients with HD who developed COVID-19 (in the past 1 year) (n=21) or SI (in the past 5 years) (n=23) in the Department of Hematology/Oncology, Asahikawa Kosei General Hospital were evaluated.

Results: The median ages of the patients with HD with either COVID-19 or SI were 80 and 68 years, respectively (P=0.03). The groups showed no significant differences in sex ratio, body mass index, or Eastern Cooperative Oncology Group performance status. In the COVID-19 and SI groups, the most common primary diseases were diffuse large B-cell lymphoma (43%) and multiple myeloma (39%), respectively. The median numbers of days of oxygen administration (8 vs. 0 days), quarantine (25 vs. 6 days), and hospitalization (72 vs. 21 days) were significantly higher in HD patients with COVID-19 than those in HD patients with SI (all P<0.001). The overall 90-day survival of patients with HD and COVID-19 was significantly shorter than that of patients with HD and SI (P=0.019). Moreover, patients with HD and COVID-19 had a higher risk of in-hospital mortality (43% vs. 9%; odds ratio, 7.50; 95% confidence interval, 1.26–82.4; P=0.01) compared to patients with HD and SI.

Conclusion: Patients with HD and COVID-19 required longer periods of in-hospital medical and showed poorer survival than those with SI. During the COVID-19 pandemic, hematologists should closely monitor the condition of patients with COVID-19 to closely monitor their condition to prevent deaths.

Homeopathy for COVID-19 Prevention: Report of an Intervention at a Brazilian Service Sector Company

BACKGROUND

 COVID-19 quickly became a serious public health problem worldwide, with serious economic and social repercussions. Homeopaths around the world have been studying to find a genus epidemicus (GE) medicine that might help in the prevention and treatment of this disease.

OBJECTIVE

 To compare the incidence of COVID-19 between employees who received or did not receive a homeopathic GE medicine for disease prevention.

METHODS

 Retrospective cohort analysis. The study population comprised all employees of a service sector company in São Paulo, Brazil, and followed up by the corporate Occupational Health department. Intervention consisted of administering Arsenicum album 30cH in a one-weekly dose. Primary outcome was incidence of COVID-19 during 3-months' follow-up (April to July, 2020).

RESULTS

 We analyzed 1,642 of 1,703 employees without previous diagnosis of COVID-19 at onset of the study period: 53.34% of employees were referred to telework at home and did not receive intervention (Group 1, G1); 24.66% remained working on-premises in the state of São Paulo and received the intervention (Group 2, G2); 21.98% remained working on company premises in other states and did not receive intervention (Group 3, G3). Incidence rate of COVID-19 was respectively 13.35%, 0.74%, and 67.87% (p < 0.001). The odds ratio of being infected in (1) G3 versus G1 was 13.70 (95% confidence interval [CI], 10.21 to 18.39), (2) G3 versus G2 was 283.02 (95% CI, 88.98 to 900.18), and (3) G1 versus G2 was 20.66 (95% CI, 6.53 to 65.39).

LIMITATIONS

 The present is a retrospective analysis of a real-world experience. We could not ensure direct observed treatment, and neither could we control adherence to general prevention measures outside company premises.

CONCLUSION

 The incidence of COVID-19 was significantly lower amongst on-premises employees who received the GE medication in comparison to workers who did not receive the intervention (those either at other company premises or teleworking at home).

Identification of priority groups for COVID-19 vaccination in Brazil

In a context of community transmission and shortage of vaccines, COVID-19 vaccination should focus on directly reducing the morbidity and mortality caused by the disease. It was thus essential to define priority groups for vaccination by the Brazilian National Immunization Program (PNI in Portuguese), based on the risk of hospitalization and death from the disease. We calculated overrisk according to sex, age group, and comorbidities using hospitalization and death records from severe acute respiratory illness with confirmation of COVID-19 (SARI-COVID) in all of Brazil in the first 6 months of the epidemic. Higher overrisk was associated with male sex (hospitalization = 1.1 and death = 1.2), age over 45 years for hospitalization (OvRag ranging from 1.1 to 8.5), and age over 55 year for death (OvRag ranging from 1.5 to 18.3). In the groups with comorbidities, chronic kidney disease, diabetes mellitus, cardiovascular disease, and chronic lung disease were associated with overrisk, while there was no such evidence for asthma. Chronic kidney disease or diabetes and age over 60 showed an even stronger association, reaching overrisk of death 14 and 10 times greater than in the general population, respectively. For all the comorbidities, there was higher overrisk at older ages, with a downward gradient in the oldest age groups. This pattern was reversed when examining overrisk in the general population, for both hospitalization and death. The current study provided evidence of overrisk of hospitalization and death from SARI-COVID, assisting the definition of priority groups for COVID-19 vaccination.

Prevalence of COVID-19 testing among health workers providing care for suspected and confirmed cases

Objectives

To describe the prevalence of testing among health workers providing care for suspected and confirmed cases of COVID-19.

Methods

This quantitative, cross-sectional study was conducted from April to June 2020, using a convenience sample. An online questionnaire was used for collecting sociodemographic, occupational, and clinical data, which were analyzed descriptively.

Results

In total, 437 health workers participated in the study, with a predominance of nursing workers (58.68%), women (70.3%), age between 30 and 49 years (54.2%), individuals living in the Southeast region of Brazil (60.54%), working in the public care system (69.11%), and focused on primary care (30.89%). Among the participants, 36% reported comorbidities, 21.1% had symptoms suggestive of COVID-19, and only 27% had undergone some type of COVID-19 testing.

Conclusions

Despite the existence of risk comorbidities and symptoms suggestive of contamination, the frequency of testing was below one third among respondents. The lack of action compromises health surveillance and protection strategies for workers providing care for the population and may favor the contamination of new patients and the community.

Estimating the early impact of vaccination against COVID-19 on deaths among elderly people in Brazil: Analyses of routinely-collected data on vaccine coverage and mortality

Background: Vaccination against COVID-19 in Brazil started in January 2021, with health workers and the elderly as the priority groups. We assessed whether there was an impact of vaccinations on the mortality of elderly individuals in a context of wide transmission of the SARS-CoV-2 gamma (P.1) variant. Methods: By May 15, 2021, 238,414 COVID-19 deaths had been reported to the Brazilian Mortality Information System. Denominators for mortality rates were calculated by correcting population estimates for all-cause deaths reported in 2020. Proportionate mortality at ages 70-79 and 80+ years relative to deaths at all ages were calculated for deaths due to COVID-19 and to other causes, as were COVID-19 mortality rate ratios relative to individuals aged 0-69 years. Vaccine coverage data were obtained from the Ministry of Health. All results were tabulated by epidemiological weeks 1-19, 2021. Findings: The proportion of all COVID-19 deaths at ages 80+ years was over 25% in weeks 1-6 and declined rapidly to 12.4% in week 19, whereas proportionate COVID-19 mortality for individuals aged 70-79 years started to decline by week 15. Trends in proportionate mortality due to other causes remained stable. Mortality rates were over 13 times higher in the 80+ years age group compared to that of 0-69 year olds up to week 6, and declined to 5.0 times in week 19. Vaccination coverage (first dose) of 90% was reached by week 9 for individuals aged 80+ years and by week 13 for those aged 70-79 years. Coronavac accounted for 65.4% and AstraZeneca for 29.8% of all doses administered in weeks 1-4, compared to 36.5% and 53.3% in weeks 15-19, respectively. Interpretation: Rapid scaling up of vaccination coverage among elderly Brazilians was associated with important declines in relative mortality compared to younger individuals, in a setting where the gamma variant predominates. Had mortality rates among the elderly remained proportionate to what was observed up to week 6, an estimated additional 43,802 COVID-related deaths would have been expected up to week 19. Funding: CGV and AJDB are funded by the Todos pela Saúde (São Paulo, Brazil) initiative.

Pneumonia Caused by Severe Acute Respiratory Syndrome Coronavirus 2 and Influenza Virus: A Multicenter Comparative Study

Background

Detailed differences in clinical information between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia (CP), which is the main phenotype of SARS-CoV-2 disease, and influenza pneumonia (IP) are still unclear.

Methods

A prospective, multicenter cohort study was conducted by including patients with CP who were hospitalized between January and June 2020 and a retrospective cohort of patients with IP hospitalized from 2009 to 2020. We compared the clinical presentations and studied the prognostic factors of CP and IP.

Results

Compared with the IP group (n = 66), in the multivariate analysis, the CP group (n = 362) had a lower percentage of patients with underlying asthma or chronic obstructive pulmonary disease (P < .01), lower neutrophil-to-lymphocyte ratio (P < .01), lower systolic blood pressure (P < .01), higher diastolic blood pressure (P < .01), lower aspartate aminotransferase level (P < .05), higher serum sodium level (P < .05), and more frequent multilobar infiltrates (P < .05). The diagnostic scoring system based on these findings showed excellent differentiation between CP and IP (area under the receiver operating characteristic curve, 0.889). Moreover, the prognostic predictors were different between CP and IP.

Conclusions

Comprehensive differences between CP and IP were revealed, highlighting the need for early differentiation between these 2 pneumonias in clinical settings.

Higher risk of death from COVID-19 in low-income and non-White populations of São Paulo, Brazil

INTRODUCTION

Little evidence exists on the differential health effects of COVID-19 on disadvantaged population groups. Here we characterise the differential risk of hospitalisation and death in São Paulo state, Brazil, and show how vulnerability to COVID-19 is shaped by socioeconomic inequalities.

METHODS

We conducted a cross-sectional study using hospitalised severe acute respiratory infections notified from March to August 2020 in the Sistema de Monitoramento Inteligente de São Paulo database. We examined the risk of hospitalisation and death by race and socioeconomic status using multiple data sets for individual-level and spatiotemporal analyses. We explained these inequalities according to differences in daily mobility from mobile phone data, teleworking behaviour and comorbidities.

RESULTS

Throughout the study period, patients living in the 40% poorest areas were more likely to die when compared with patients living in the 5% wealthiest areas (OR: 1.60, 95% CI 1.48 to 1.74) and were more likely to be hospitalised between April and July 2020 (OR: 1.08, 95% CI 1.04 to 1.12). Black and Pardo individuals were more likely to be hospitalised when compared with White individuals (OR: 1.41, 95% CI 1.37 to 1.46; OR: 1.26, 95% CI 1.23 to 1.28, respectively), and were more likely to die (OR: 1.13, 95% CI 1.07 to 1.19; 1.07, 95% CI 1.04 to 1.10, respectively) between April and July 2020. Once hospitalised, patients treated in public hospitals were more likely to die than patients in private hospitals (OR: 1.40%, 95% CI 1.34% to 1.46%). Black individuals and those with low education attainment were more likely to have one or more comorbidities, respectively (OR: 1.29, 95% CI 1.19 to 1.39; 1.36, 95% CI 1.27 to 1.45).

CONCLUSIONS

Low-income and Black and Pardo communities are more likely to die with COVID-19. This is associated with differential access to quality healthcare, ability to self-isolate and the higher prevalence of comorbidities.

Current views on the potentials of convalescent plasma therapy (CPT) as Coronavirus disease 2019 (COVID-19) treatment: A systematic review and meta-analysis based on recent studies and previous respiratory pandemics

Convalescent plasma therapy (CPT) has been investigated as a treatment for COVID-19. This review evaluates CPT in COVID-19 and other viral respiratory diseases, including severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS) and influenza. PubMed and Google scholar databases were used to collect eligible publications until 8 December 2020. Meta-analysis used Mantel-Haenszel risk ratio (RR) with 95% confidence interval (CI) and pooled analysis for individual patient data with inverse variance weighted average. The study is registered at PROSPERO with the number of CRD4200270579. Forty-four studies with 36,716 participants were included in the pooled analysis and 20 studies in the meta-analysis. Meta-analysis showed reduction of mortality (RR 0.57, 95% CI [0.43, 0.76], z = 3.86 [p < 0.001], I²  = 44% [p = 0.03]) and higher number of discharged patients (RR 2.53, 95% CI [1.72, 3.72], z = 4.70 [p < 0.001], I²  = 3% [p = 0.39]) in patients receiving CPT compared to standard care alone. A possible mechanism of action is prompt reduction in viral titre. Serious transfusion-related adverse events were reported to be less than 1% of cases, suggesting the overall safety of CPT; nevertheless, the number of patients participating in the studies was still limited. It is also important to notice that in all the studies, the majority of patients were also given other medications, such as antivirals, antibiotics and corticosteroid; furthermore, randomized controlled studies involving more patients and in combination with other treatment modalities are urgently needed.

Pregnancy and COVID-19

There are many unknowns for pregnant women during the coronavirus disease 2019 (COVID-19) pandemic. Clinical experience of pregnancies complicated with infection by other coronaviruses e.g., Severe Acute Respiratory Syndrome (SARS) and Middle Eastern Respiratory Syndrome, has led to pregnant woman being considered potentially vulnerable to severe SARS-CoV-2 infection. Physiological changes during pregnancy have a significant impact on the immune system, respiratory system, cardiovascular function, and coagulation. These may have positive or negative effects on COVID-19 disease progression. The impact of SARS-CoV-2 in pregnancy remains to be determined, and a concerted, global effort is required to determine the effects on implantation, fetal growth and development, labor, and neonatal health. Asymptomatic infection presents a further challenge regarding service provision, prevention, and management. Besides the direct impacts of the disease, a plethora of indirect consequences of the pandemic adversely affect maternal health, including reduced access to reproductive health services, increased mental health strain, and increased socioeconomic deprivation. In this review, we explore the current knowledge of COVID-19 in pregnancy and highlight areas for further research to minimize its impact for women and their children.

Inpatient flow for Covid-19 in the Brazilian health regions

ABSTRACT The study aims to investigate the flows of Covid-19 hospitalizations in the 450 Brazilian health regions and 117 health macro-regions between March and October 2020. This descriptive study includes all Covid-19 hospitalizations registered in the Influenza Epidemiological Surveillance Information System between the eighth and forty-fourth epidemiological weeks of 2020. In Brazil, 397,830 admissions were identified for Covid-19. Emigration was 11.9% for residents in health regions and 6.8% in macro-regions; this pattern was also maintained during the peak period of Covid-19 hospitalizations. The average evasion for residents of health regions was 17.6% in the Northeast and 8.8% in the South. Evasion was more accentuated in health regions with up to 100 thousand inhabitants(36.9%), which was 7 times greater than that observed in health regions with more than 2 million inhabitants (5.2%). The negative migratory efficacy indicator (-0.39) revealed a predominance of evasion. Of the 450 Brazilian health regions, 117 (39.3%) had a coefficient of migratory efficacy between-1 and-0.75, and 113 (25.1%) between-0.75 and-0.25. Results indicate that the regionalization of the health system exhibited adequate organization of healthcare in the territory; however, the long distances traveled are still worrisome.

COVID-19: a cross-sectional study of suspected cases admitted to a federal hospital in Rio de Janeiro, Brazil, and factors associated with hospital death

OBJECTIVE

To describe the clinical and epidemiological profile of suspected COVID-19 cases admitted to a federal hospital in Rio de Janeiro, RJ, Brazil, and to identify factors associated with death.

METHODS

This was a cross-sectional study using local epidemiological surveillance data as at epidemiological week 27 of 2020 and logistic regression.

RESULTS

376 hospitalized suspected COVID-19 cases were included; 52.9% were female, 57.4% were 50 years old or over and 80.1% had comorbidities. 195 (51.9%) COVID-19 cases were confirmed and their lethality was higher (37.9%) than among discarded cases (24.2%). In the adjusted analysis, death among confirmed cases was associated with being in the 50-69 age group (OR=11.65 - 95%CI 1.69;80.33), being aged 70 or over (OR=8.43 - 95%CI 1.22;58.14), presence of neoplasms (OR=4.34 - 95%CI 1.28;14.76) and use of invasive ventilatory support (OR=70.20 - 95%CI 19.09;258.19).

CONCLUSION

High prevalence of comorbidities and lethality was found; the main factors associated with death were being older, neoplasms and invasive ventilatory support.

Inference of COVID-19 epidemiological distributions from Brazilian hospital data

Knowing COVID-19 epidemiological distributions, such as the time from patient admission to death, is directly relevant to effective primary and secondary care planning, and moreover, the mathematical modelling of the pandemic generally. We determine epidemiological distributions for patients hospitalized with COVID-19 using a large dataset (N = 21 000 - 157 000) from the Brazilian Sistema de Informação de Vigilância Epidemiológica da Gripe database. A joint Bayesian subnational model with partial pooling is used to simultaneously describe the 26 states and one federal district of Brazil, and shows significant variation in the mean of the symptom-onset-to-death time, with ranges between 11.2 and 17.8 days across the different states, and a mean of 15.2 days for Brazil. We find strong evidence in favour of specific probability density function choices: for example, the gamma distribution gives the best fit for onset-to-death and the generalized lognormal for onset-to-hospital-admission. Our results show that epidemiological distributions have considerable geographical variation, and provide the first estimates of these distributions in a low and middle-income setting. At the subnational level, variation in COVID-19 outcome timings are found to be correlated with poverty, deprivation and segregation levels, and weaker correlation is observed for mean age, wealth and urbanicity.