Cost-effectiveness analysis of preventive methods for occlusal surface according to caries risk: results of a controlled clinical trial

This study presents the results of a cost-effectiveness analysis in a controlled clinical trial on the effectiveness of a modified glass ionomer resin sealant ( Vitremer, 3M ESPE) and the application of fluoride varnish (Duraphat, Colgate) on occlusal surfaces of first permanent molars in children 6-8 years of age (N = 268), according to caries risk (high versus low). Children were examined semiannually by the same calibrated dentist for 24 months after allocation in six groups: high and low risk controls (oral health education every three months); high and low risk with varnish (oral health education every three months + varnish biannually); and high and low risk with sealant (oral health education every three months + a single application of sealant). Economic analysis showed that sealing permanent first molars of high-risk schoolchildren showed a C/E ratio of US$119.80 per saved occlusal surface and an incremental C/E ratio of US$ 108.36 per additional saved occlusal surface. The study concluded that sealing permanent first molars of high-risk schoolchildren was the most cost-effective intervention.Este estudo apresenta o resultado de uma avaliação de custo-efetividade conduzida ao longo de um ensaio clínico controlado para avaliar a efetividade do selamento com ionômero de vidro modificado por resina (Vitremer, 3M ESPE) e da aplicação de verniz fluoretado (Duraphat, Col-gate) em superfícies oclusais de primeiros molares permanentes, em crianças de 6 a 8 anos (N = 268), segundo o risco de cárie (alto risco; baixo risco). As crianças foram examinadas semestralmente, ao longo de 24 meses, pelo mesmo dentista calibrado, após alocação em seis grupos: controle alto risco e baixo risco (educação em saúde bucal trimestral); verniz alto risco e baixo risco (educação em saúde bucal trimestral + aplicação semestral de verniz); e selante alto risco e baixo risco (educação em saúde bucal trimestral + única aplicação do selante). A análise mostrou que o selamento de primeiros molares permanentes em crianças de alto risco apresentou razão de C/E de R$225,21(US$ 119,80) por superfície oclusal salva, e razão incremental de C/E de R$203,71(US$ 108,36) por superfície oclusal adicional salva. Conclui-se que uma única aplicação de selante, em escolares de alto risco, foi a intervenção mais custo-efetiva.En este estudio se presentan los resultados de una evaluación de costo-efectividad (C/E) durante un ensayo clínico controlado para evaluar la efectividad de la obturación con ionómero de vidrio modificado con resina (Vitremer, 3M ESPE) y la aplicación de barniz de flúor (Duraphat, Colgate) en las superficies oclusales de los primeros molares permanentes, para niños de 6-8 años (N = 268) de edad, de acuerdo con el riesgo de caries (alto riesgo-bajo riesgo). Los niños fueron examinados cada seis meses por el mismo dentista calibrado, durante 24 meses, después de haberle sido asignados seis grupos: control alto riesgo y bajo riesgo (educación de salud bucal cada tres meses); barniz alto riesgo y bajo riesgo (educación de salud bucal cada tres meses + barniz semestralmente); obturación alto riesgo y bajo riesgo (educación de salud bucal cada tres meses + una sola aplicación de ionómero de vidrio). El análisis económico mostró que la obturación de los primeros molares permanentes de escolares de alto riesgo presenta una relación C/E de US$119.80 de ahorro por superficie oclusal y una ratio C/E incremental de US$ 108.36 de ahorro adicional por superficie oclusal.s121s130Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES

Mortality from COVID-19 in Brazil : analysis of death’s civil registry from 2020 January to 2021 February

Objetivo: analisar a evolução da mortalidade por COVID-19 no período de janeiro de 2020 a fevereiro de 2021 no Brasil. Métodos. Dados sobre todos os óbitos foram obtidos do Portal da Transparência, alimentado continuamente pelos cartórios civis do país. Foi considerado óbito por COVID-19 quando havia citação de COVID-19, coronavírus ou novo coronavírus como causa de óbito. As taxas de mortalidade por COVID-19 foram padronizadas por sexo e faixa etária, conforme estimativa populacional para 2020. Mortalidade por COVID-19 proporcional foi calculada por faixa etária e região, conforme o sexo. Mortalidade geral proporcional foi calculada por local de falecimento e região, conforme causa do óbito. Resultados. Dos 1.596.130 óbitos registrados, 16% tiveram COVID-19 como causa básica, a taxa de mortalidade no Brasil foi de 119,9 por 100 mil habitantes, chegando a 410,5 em Roraima para o sexo masculino. Altas taxas foram encontradas principalmente na região Norte e as menores na região Nordeste. A maior proporção foi entre 70 e 79 anos de idade. A morte por COVID-19 em domicílio atingiu 3,8% dos óbitos na região Norte e 3,4% no Nordeste. Conclusões. O uso de dados do registro civil é de grande importância para o monitoramento atualizado da mortalidade por COVID-19, demonstrando que o país enfrenta, em 2021, aumento de óbitos e agravamento da pandemia.Objective: to analyze the evolution of mortality due to COVID-19 in the period from January 2020 to February 2021 in Brazil. Methods. Data on all deaths were obtained from the transparency portal, continuously fed by the country's civil registry offices. It was considered death by COVID-19 when there were citations of COVID-19, coronavirus or new coronavirus in the cause of death. Mortality rates for COVID-19 were standardized by sex and age group, according to a population estimate for 2020. Proportional COVID-19 mortality was calculated by age group and region, according to sex. General proportional mortality was calculated by place of death and region, according to the cause of death. Results. Of the 1,596,130 deaths recorded, 16% had COVID-19 as a basic cause, the mortality rate in Brazil was 119.9 per 100 thousand inhabitants, reaching 410.5 in Roraima for men. High rates were found mainly in the North and lowest in the Northeast. The highest proportion was between 70 and 79 years of age. Death by COVID-19 at home reached 3.8% of deaths in the North and 3.4% in the Northeast. Conclusions. The use of civil registry data is of great importance for a timely monitoring of COVID-19 mortality, thus showing the country faces, in 2021, an increase in deaths, worsening the pandemic

Trends in COVID-19 case-fatality rates in Brazilian public hospitals : a longitudinal cohort of 398,063 hospital admissions from 1st March to 3rd October 2020

Almost 200,000 deaths from COVID-19 were reported in Brazil in 2020. The case fatality rate of a new infectious disease can vary by different risk factors and over time. We analysed the trends and associated factors of COVID-19 case fatality rates in Brazilian public hospital admissions during the first wave of the pandemic

Inpatient flow for COVID-19 in the Brazilian health regions

Objetivo: Investigar os fluxos de internações por COVID-19 nas 450 regiões e 117 macrorregiões de saúde brasileiras no período de março a outubro de 2020. Método: Estudo descritivo, compreendendo todas as internações por COVID-19 registradas no Sistema de Informação de Vigilância Epidemiológica da Gripe (SIVEP-Gripe) entre a 8ª e a 44ª semanas epidemiológicas de 2020. Foi calculada a proporção das internações por COVID-19 realizadas pelos residentes que ocorreram dentro da sua respectiva região de saúde, estratificado segundo períodos de maior e menor demanda de internações e segundo o porte populacional das regiões de saúde. Foi calculado o indicador de eficácia migratória, que leva em consideração a evasão e invasão de pacientes, por meio do cruzamento dos dados de origem dos pacientes (região de saúde de residência) com os dados do local da realização das internações (região de saúde de atendimento). Resultados: Foram identificadas 397.830 internações por COVID-19 no período. A evasão foi de 11,9% dos residentes nas regiões de saúde e de 6,8% nas macrorregiões; o padrão que se manteve também no período de pico das internações por COVID-19. Houve em média 17,6% de evasão dos residentes das regiões de saúde do Nordeste e de 8,8% nas regiões de saúde do Sul. A evasão foi mais acentuada nas regiões de saúde com até 100 mil/hab. (36,9%), a qual foi 7 vezes maior que a verificada nas regiões de saúde com mais de 2 milhões/habitantes (5,2%). O indicador de eficácia migratória negativo (-0,39) indicou predomínio da evasão. Das 450 regiões de saúde brasileiras, 117 (39,3%) apresentaram coeficiente de eficácia migratória entre -1 e -0,75 e 113 (25,1%) entre -0,75 e -0,25. Conclusão: Os resultados indicam que a regionalização do sistema de saúde mostrou-se adequada na organização do atendimento no território, porém as longas distâncias percorridas ainda são preocupantes.Objective: To investigate the flows of hospitalizations for COVID-19 in the 450 regions and 117 Brazilian health macro-regions between March and October 2020. Method: Descriptive study, comprising all hospitalizations due to COVID-19 registered in the Flu Epidemiological Surveillance Information System (SIVEP-Gripe) between the 8th and 44th epidemiological weeks of 2020. The proportion of hospitalizations for COVID-19 occurred within same health region of residency was calculated, stratified according to periods of greater and lesser demand for health care, according to the population size of health regions. The indicator of migratory efficacy was calculated, which takes into account the evasion and invasion of patients, by crossing the data of origin of the patients (health region of residence) with the data of the place of hospitalization (health region of attendance). Results: 397,830 admissions were identified for COVID-19 in the period. Evasion was 11.9% of residents in health regions and 6.8% in macro-regions, pattern that was maintained during the peak period of hospitalizations for COVID-19. There was an average of 17.6% of evasion of residents of health regions in the Northeast and of 8.8% in health regions of 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) indicated 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. Conclusion: The results indicate that the regionalization of the health system proved to be adequate in the organization of care in the territory, however the long distances traveled are still worrying

P2X7 receptor contributes to long-term neuroinflammation and cognitive impairment in sepsis-surviving mice

Introduction: sepsis is defined as a multifactorial debilitating condition with high risks of death. The intense inflammatory response causes deleterious effects on the brain, a condition called sepsis-associated encephalopathy. Neuroinflammation or pathogen recognition are able to stress cells, resulting in ATP (Adenosine Triphosphate) release and P2X7 receptor activation, which is abundantly expressed in the brain. The P2X7 receptor contributes to chronic neurodegenerative and neuroinflammatory diseases; however, its function in long-term neurological impairment caused by sepsis remains unclear. Therefore, we sought to evaluate the effects of P2X7 receptor activation in neuroinflammatory and behavioral changes in sepsis-surviving mice. Methods: sepsis was induced in wild-type (WT), P2X7−/− , and BBG (Brilliant Blue G)-treated mice by cecal ligation and perforation (CLP). On the thirteenth day after the surgery, the cognitive function of mice was assessed using the novel recognition object and Water T-maze tests. Acetylcholinesterase (AChE) activity, microglial and astrocytic activation markers, and cytokine production were also evaluated. Results: Initially, we observed that both WT and P2X7−/− sepsis-surviving mice showed memory impairment 13 days after surgery, once they did not differentiate between novel and familiar objects. Both groups of animals presented increased AChE activity in the hippocampus and cerebral cortex. However, the absence of P2X7 prevented partly this increase in the cerebral cortex. Likewise, P2X7 absence decreased ionized calcium-binding protein 1 (Iba−1 ) and glial fibrillary acidic protein (GFAP) upregulation in the cerebral cortex of sepsis-surviving animals. There was an increase in GFAP protein levels in the cerebral cortex but not in the hippocampus of both WT and P2X7−/− sepsis-surviving animals. Pharmacological inhibition or genetic deletion of P2X7 receptor attenuated the production of Interleukin-1β (IL-1β), Tumor necrosis factor-α (TNF-α), and Interleukin-10 (IL-10). Conclusion: the modulation of the P2X7 receptor in sepsis-surviving animals may reduce neuroinflammation and prevent cognitive impairment due to sepsisassociated encephalopathy, being considered an important therapeutic target

Fluxo de internação por COVID-19 nas regiões de saúde do Brasil

Objective: To investigate the flows of hospitalizations for COVID-19 in the 450 regions and 117 Brazilian health macro-regions between March and October 2020. Method: Descriptive study, comprising all hospitalizations due to COVID-19 registered in the Flu Epidemiological Surveillance Information System (SIVEP-Gripe) between the 8th and 44th epidemiological weeks of 2020. The proportion of hospitalizations for COVID-19 occurred within same health region of residency was calculated, stratified according to periods of greater and lesser demand for health care, according to the population size of health regions. The indicator of migratory efficacy was calculated, which takes into account the evasion and invasion of patients, by crossing the data of origin of the patients (health region of residence) with the data of the place of hospitalization (health region of attendance). Results: 397,830 admissions were identified for COVID-19 in the period. Evasion was 11.9% of residents in health regions and 6.8% in macro-regions, pattern that was maintained during the peak period of hospitalizations for COVID-19. There was an average of 17.6% of evasion of residents of health regions in the Northeast and of 8.8% in health regions of 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) indicated 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. Conclusion: The results indicate that the regionalization of the health system proved to be adequate in the organization of care in the territory, however the long distances traveled are still worrying.Objetivo: Investigar os fluxos de internações por COVID-19 nas 450 regiões e 117 macrorregiões de saúde brasileiras no período de março a outubro de 2020. Método: Estudo descritivo, compreendendo todas as internações por COVID-19 registradas no Sistema de Informação de Vigilância Epidemiológica da Gripe (SIVEP-Gripe) entre a 8ª e a 44ª semanas epidemiológicas de 2020. Foi calculada a proporção das internações por COVID-19 realizadas pelos residentes que ocorreram dentro da sua respectiva região de saúde, estratificado segundo períodos de maior e menor demanda de internações e segundo o porte populacional das regiões de saúde. Foi calculado o indicador de eficácia migratória, que leva em consideração a evasão e invasão de pacientes, por meio do cruzamento dos dados de origem dos pacientes (região de saúde de residência) com os dados do local da realização das internações (região de saúde de atendimento). Resultados: Foram identificadas 397.830 internações por COVID-19 no Brasil. A evasão foi de 11,9% dos residentes nas regiões de saúde e de 6,8% nas macrorregiões; o padrão que se manteve também no período de pico das internações por COVID-19. Houve em média 17,6% de evasão dos residentes das regiões de saúde do Nordeste e de 8,8% nas regiões de saúde do Sul. A evasão foi mais acentuada nas regiões de saúde com até 100 mil/hab. (36,9%), a qual foi 7 vezes maior que a verificada nas regiões de saúde com mais de 2 milhões/habitantes (5,2%). O indicador de eficácia migratória negativo (-0,39) indicou predomínio da evasão. Das 450 regiões de saúde brasileiras, 117 (39,3%) apresentaram coeficiente de eficácia migratória entre -1 e -0,75 e 113 (25,1%) entre -0,75 e -0,25. Conclusão: Os resultados indicam que a regionalização do sistema de saúde mostrou-se adequada na organização do atendimento no território, porém as longas distâncias percorridas ainda são preocupante

Importation and early local transmission of COVID-19 in Brazil, 2020

We conducted the genome sequencing and analysis of the first confirmed COVID-19 infections in Brazil. Rapid sequencing coupled with phylogenetic analyses in the context of travel history corroborate multiple independent importations from Italy and local spread during the initial stage of COVID-19 transmission in Brazil

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio