Abstract Background Robust data on the learning curve (LC) of transcatheter aortic valve replacement (TAVR) are lacking in developing countries. Objective To assess TAVR’s LC in Brazil over time. Methods We analyzed data from the Brazilian TAVR registry from 2008 to 2023. Patients from each center were numbered chronologically in case sequence numbers (CSNs). LC was performed using restricted cubic splines adjusted for EuroSCORE-II and the use of new-generation prostheses. Also, in-hospital outcomes were compared between groups defined according to the level of experience based on the CSN: 1st to 40th (initial-experience), 41st to 80th (early-experience), 81st to 120th (intermediate-experience), and over 121st (high-experience). Additional analysis was performed grouping hospitals according to the number of cases treated before 2014 (>40 and ≤40 procedures). The level of significance adopted was <0.05. Results A total of 3,194 patients from 25 centers were included. Mean age and EuroSCORE II were 80.7±8.1 years and 7±7.1, respectively. LC analysis demonstrated a drop in adjusted in-hospital mortality after treating 40 patients. A leveling off of the curve was observed after case #118. In-hospital mortality across the groups was 8.6%, 7.7%, 5.9%, and 3.7% for initial-, early-, intermediate-, and high-experience, respectively (p<0.001). High experience independently predicted lower mortality (OR 0.57, p=0.013 vs. initial experience). Low-volume centers before 2014 showed no significant decrease in the likelihood of death with gained experience, whereas high-volume centers had a continuous improvement after case #10. Conclusion A TAVR LC phenomenon was observed for in-hospital mortality in Brazil. This effect was more pronounced in centers that treated their first 40 cases before 2014 than those that reached this milestone after 2014. (LC (TAVR countries TAVRs s time 200 2023 CSNs. CSNs . (CSNs) EuroSCOREII newgeneration new generation prostheses Also inhospital hospital CSN st th initialexperience, initialexperience , (initial-experience) earlyexperience, earlyexperience early (early-experience) intermediateexperience, intermediateexperience intermediate (intermediate-experience) highexperience. highexperience high (high-experience) 201 >40 (>4 ≤4 procedures. procedures procedures) 005 0 05 <0.05 3194 3 194 3,19 2 included 80781 80 7 8 1 80.7±8. 771 7±7.1 4 118 #118 Inhospital In 86 6 8.6% 77 7.7% 59 5 9 5.9% 37 3.7 initial, initial- early, early- intermediate, intermediate- highexperience, high-experience p<0.001. p0001 p p<0.001 001 (p<0.001) OR 057 57 0.57 p0013 013 p=0.01 vs experience. experience) Lowvolume Low volume highvolume 10 #10 20 202 (CSNs (initial-experience (early-experience (intermediate-experience (high-experience >4 (> ≤ 00 <0.0 319 19 3,1 8078 80.7±8 7±7. 11 #11 8.6 7.7 5.9 3. p000 p<0.00 (p<0.001 0.5 p001 01 p=0.0 #1 > ( <0. 31 3, 807 80.7± 7±7 8. 7. 5. p00 p<0.0 (p<0.00 0. p=0. # <0 80.7 7± p0 p<0. (p<0.0 p=0 < 80. p<0 (p<0. p= p< (p<0 (p< (p

Resumo Fundamento Dados robustos sobre a curva de aprendizagem (LC) da substituição da válvula aórtica transcateter (TAVR) são escassos nos países em desenvolvimento. Objetivo Avaliar a LC da TAVR no Brasil ao longo do tempo. Métodos Analisamos dados do registro brasileiro de TAVR de 2008 a 2023. Pacientes de cada centro foram numerados cronologicamente em número sequencial de caso (NSC). A LC foi realizada usando um spline cúbico restrito ajustado para o EuroSCORE-II e o uso de próteses de nova geração. Ainda, os desfechos hospitalares foram comparados entre grupos definidos de acordo com o nível de experiência, com base no NSC: 1º ao 40º caso (experiência inicial), 41º ao 80º caso (experiência básica), 81º ao 120º caso (experiência intermediária) e 121º caso em diante (experiência alta). Análises adicionais foram conduzidas de acordo com o número de casos tratados antes de 2014 (>40 e ≤40 procedimentos). O nível de significância adotado foi p <0,05. Resultados Foram incluídos 3194 pacientes de 25 centros. A idade média foi 80,7±8,1 anos e o EuroSCORE II médio foi 7±7,1. A análise da LC demonstrou uma queda na mortalidade hospitalar ajustada após o tratamento de 40 pacientes. Um patamar de nivelamento na curva foi observado após o caso 118. A mortalidade hospitalar entre os grupos foi 8,6%, 7,7%, 5,9%, e 3,7% para experiência inicial, básica, intermediária e alta, respectivamente (p<0,001). A experiência alta foi preditora independente de mortalidade mais baixa (OR 0,57, p=0,013 vs. experiência inicial). Centros com baixo volume de casos antes de 2014 não mostraram uma redução significativa na probabilidade de morte com o ganho de experiência, enquanto centros com alto volume de casos antes de 2014 apresentaram uma melhora contínua após o caso de número 10. Conclusão Observou-se um fenômeno de LC para a mortalidade hospitalar do TAVR no Brasil. Esse efeito foi mais pronunciado em centros que trataram seus 40 primeiros casos antes de 2014 que naqueles que o fizeram após 2014. (LC (TAVR desenvolvimento tempo 200 2023 NSC. NSC . (NSC) EuroSCOREII geração Ainda º inicial , inicial) básica básica) alta. alta) 201 >40 (>4 ≤4 procedimentos. procedimentos procedimentos) 005 0 05 <0,05 319 2 80781 80 7 8 1 80,7±8, 771 7±7,1 4 118 86 6 8,6% 77 7,7% 59 5 9 5,9% 37 3 3,7 p<0,001. p0001 p<0,001 001 (p<0,001) OR 057 57 0,57 p0013 013 p=0,01 vs inicial. 10 Observouse Observou se 20 202 (NSC >4 (> ≤ 00 <0,0 31 8078 80,7±8 7±7, 11 8,6 7,7 5,9 3, p000 p<0,00 (p<0,001 0,5 p001 01 p=0,0 > ( <0, 807 80,7± 7±7 8, 7, 5, p00 p<0,0 (p<0,00 0, p=0, <0 80,7 7± p0 p<0, (p<0,0 p=0 < 80, p<0 (p<0, p= p< (p<0 (p< (p

Abstract Biodiesel serves as a biodegradable, non-toxic, and renewable fuel option that offers an alternative to traditional fossil fuels. This study aimed to examine the impact of elevating biodiesel content to 20% and 50% within regular diesel, with a focus on comprehending how these fuel mixtures influence variations in soot composition using Raman spectroscopy. The soot samples under analysis originated from commercial S10 diesel, as well as fuel blends containing 20% and 50% portions of sunflower and macaúba biodiesel, whereupon the use of this methodology for these fuels characterizes the novelty of this work. The outcomes derived from analyzing the soot samples revealed distinct characteristics in the G, D1, D3, and D4 bands. The ratio between the intensities of these D and G bands is closely indicative of the soot's structure. Consequently, this ratio was analyzed in this investigation to assess the effects of biodiesel concentration and engine rotation speed on soot characteristics. The conclusions found in this study indicated that there was minimal variation in the spectral characteristics of the soot samples across the different fuels and varying engine speeds. As a result, it is inferred that increasing the proportion of biodiesel in commercial diesel S10 did not have a significant impact on the structural composition of soot. biodegradable nontoxic, nontoxic non toxic, toxic non-toxic 20 50 spectroscopy S S1 work D1 D3 soots s structure Consequently speeds result 2 5

Objetivo: investigar los factores asociados a la infección por SARSCoV-2 en los profesionales de la salud de hospitales universitarios. Método: estudio multicéntrico, con abordaje mixto con estrategia incorporada concomitante, realizado con 559 profesionales en la etapa cuantitativa, y 599 en la etapa cualitativa. Fueron utilizados cuatro instrumentos de recolección de datos, aplicados a través un formulario electrónico. El análisis cuantitativo se realizó mediante estadística descriptiva e inferencial y los datos cualitativos mediante análisis de contenido Resultados: los factores asociados a la infección fueron: realización de la prueba “RT-PCR” (p<0,001) y unidades que atienden a pacientes con COVID-19 (p=0,028). Tener síntomas aumentó la prevalencia de infección 5,63 veces y cumplir la mayor parte del tiempo con el distanciamiento social en la vida privada la redujo un 53,9%. Los datos cualitativos mostraron las dificultades que enfrentaron los profesionales: escasez y baja calidad de equipos de protección personal, sobrecarga de trabajo, distanciamiento físico en el trabajo, procesos y rutinas inadecuados y la ausencia de una política de triage y testeo masivos. Conclusión: los factores asociados a la infección por SARS-CoV-2 en los profesionales de la salud se relacionaron mayormente con cuestiones laborales. Objetivo SARSCoV2 SARSCoV 2 SARSCoV- universitarios Método multicéntrico concomitante 55 cuantitativa 59 cualitativa electrónico Resultados fueron RTPCR RT PCR “RT-PCR p<0,001 p0001 p 0 001 (p<0,001 COVID19 COVID 19 COVID-1 p=0,028. p0028 p=0,028 . 028 (p=0,028) 563 5 63 5,6 539 53 9 53,9% personal trabajo masivos Conclusión SARS CoV SARS-CoV- laborales p<0,00 p000 00 (p<0,00 COVID1 1 COVID- p002 p=0,02 02 (p=0,028 56 6 5, 53,9 SARS-CoV p<0,0 p00 (p<0,0 p=0,0 (p=0,02 53, p<0, p0 (p<0, p=0, (p=0,0 p<0 (p<0 p=0 (p=0, p< (p< p= (p=0 (p (p=

Objective: to investigate factors associated with the SARS-CoV-2 infection among health professionals from university hospitals. Method: a multicenter, mixed approach study with concomitant incorporated strategy, carried out with 559 professionals in the quantitative stage, and 599 in the qualitative stage. Four data collection instruments were used, applied by means of an electronic form. The quantitative analysis was performed with descriptive and inferential statistics and the qualitative data were processed by means of content analysis. Results: the factors associated with the infection were as follows: performance of the RT-PCR test (p<0.001) and units offering care to COVID-19 patients (p=0.028). Having symptoms increased 5.63 times the prevalence of infection and adhering to social distancing most of the time in private life reduced it by 53.9%. The qualitative data evidenced difficulties faced by the professionals: scarcity and low quality of Personal Protective Equipment, work overload, physical distancing at work, inadequate processes and routines and lack of a mass screening and testing policy. Conclusion: the factors associated with the SARS-CoV-2 infection among health professionals were mostly related to occupational issues. Objective SARSCoV2 SARSCoV SARS CoV 2 SARS-CoV- hospitals Method multicenter strategy 55 stage 59 used form Results follows RTPCR RT PCR p<0.001 p0001 p 0 001 (p<0.001 COVID19 COVID 19 COVID-1 p=0.028. p0028 p=0.028 . 028 (p=0.028) 563 5 63 5.6 539 53 9 53.9% Equipment overload policy Conclusion issues SARS-CoV p<0.00 p000 00 (p<0.00 COVID1 1 COVID- p002 p=0.02 02 (p=0.028 56 6 5. 53.9 p<0.0 p00 (p<0.0 p=0.0 (p=0.02 53. p<0. p0 (p<0. p=0. (p=0.0 p<0 (p<0 p=0 (p=0. p< (p< p= (p=0 (p (p=

Objetivo: investigar fatores associados à infecção por SARS-CoV-2 entre profissionais da saúde de hospitais universitários. Método: estudo multicêntrico, de abordagem mista com estratégia incorporada concomitante, realizado com 559 profissionais na etapa quantitativa, e 599 na etapa qualitativa. Foram utilizados quatro instrumentos de coleta de dados, aplicados via formulário eletrônico. A análise quantitativa foi realizada com estatística descritiva e inferencial e os dados qualitativos por meio de análise de conteúdo. Resultados: os fatores associados à infeção foram: realização de teste “RT-PCR” (p<0,001) e unidades com atendimento a pacientes com COVID-19 (p=0,028). Ter sintomas aumentou em 5,63 vezes a prevalência de infeção e aderir ao distanciamento social na maior parte do tempo na vida particular reduziu em 53,9%. Dados qualitativos evidenciaram dificuldades enfrentadas pelos profissionais: escassez e baixa qualidade de equipamentos de proteção individual, sobrecarga de trabalho, distanciamento físico no trabalho, processos e rotinas inadequadas e ausência de uma política de triagem e testagem em massa. Conclusão: os fatores associados à infecção por SARS-CoV-2 entre profissionais da saúde foram em sua maioria relacionados a questões ocupacionais. Objetivo SARSCoV2 SARSCoV SARS CoV 2 SARS-CoV- universitários Método multicêntrico concomitante 55 59 qualitativa eletrônico conteúdo Resultados RTPCR RT PCR “RT-PCR p<0,001 p0001 p 0 001 (p<0,001 COVID19 COVID 19 COVID-1 p=0,028. p0028 p=0,028 . 028 (p=0,028) 563 5 63 5,6 539 53 9 53,9% individual trabalho massa Conclusão ocupacionais SARS-CoV p<0,00 p000 00 (p<0,00 COVID1 1 COVID- p002 p=0,02 02 (p=0,028 56 6 5, 53,9 p<0,0 p00 (p<0,0 p=0,0 (p=0,02 53, p<0, p0 (p<0, p=0, (p=0,0 p<0 (p<0 p=0 (p=0, p< (p< p= (p=0 (p (p=

ABSTRACT Background: Critical illness is a major ongoing health care burden worldwide and is associated with high mortality rates. Sodium-glucose cotransporter-2 inhibitors have consistently shown benefits in cardiovascular and renal outcomes. The effects of sodium-glucose cotransporter-2 inhibitors in acute illness have not been properly investigated. Methods: DEFENDER is an investigator-initiated, multicenter, randomized, open-label trial designed to evaluate the efficacy and safety of dapagliflozin in 500 adult participants with acute organ dysfunction who are hospitalized in the intensive care unit. Eligible participants will be randomized 1:1 to receive dapagliflozin 10mg plus standard of care for up to 14 days or standard of care alone. The primary outcome is a hierarchical composite of hospital mortality, initiation of kidney replacement therapy, and intensive care unit length of stay, up to 28 days. Safety will be strictly monitored throughout the study. Conclusion: DEFENDER is the first study designed to investigate the use of a sodium-glucose cotransporter-2 inhibitor in general intensive care unit patients with acute organ dysfunction. It will provide relevant information on the use of drugs of this promising class in critically ill patients. ClinicalTrials.gov registry: NCT05558098 Background rates Sodiumglucose Sodium glucose cotransporter2 cotransporter 2 cotransporter- outcomes sodiumglucose sodium investigated Methods investigatorinitiated, investigatorinitiated investigator initiated, initiated investigator-initiated multicenter openlabel open label 50 11 1 1: mg alone therapy stay Conclusion ClinicalTrialsgov ClinicalTrials gov registry NCT NCT0555809 5 NCT055580 NCT05558 NCT0555 NCT055 NCT05 NCT0

RESUMO Antecedentes: A doença crítica é um importante ônus permanente da assistência médica em todo o mundo e está associada a altas taxas de mortalidade. Os inibidores do cotransportador de sódio-glicose do tipo 2 têm demonstrado consistentemente benefícios nos desfechos cardiovasculares e renais. Os efeitos dos inibidores do cotransportador de sódio-glicose do tipo 2 em doenças agudas ainda não foram devidamente investigados. Métodos: O DEFENDER é um estudo de iniciativa do investigador, multicêntrico, randomizado, aberto, desenhado para avaliar a eficácia e a segurança da dapagliflozina em 500 participantes adultos com disfunção orgânica aguda hospitalizados na unidade de terapia intensiva. Os participantes aptos serão randomizados 1:1 para receber 10mg de dapagliflozina e o tratamento padrão por até 14 dias ou apenas o tratamento padrão. O desfecho primário é um composto hierárquico de mortalidade hospitalar, início de terapia renal substitutiva e tempo de internação na unidade de terapia intensiva, até 28 dias. O monitoramento da segurança será rigoroso durante todo o estudo. Conclusão: O DEFENDER é o primeiro estudo desenvolvido para investigar o uso de um inibidor do cotransportador de sódio-glicose do tipo 2 em pacientes de unidade de terapia intensiva geral com disfunção orgânica aguda. O estudo fornecerá informações relevantes sobre o uso de medicamentos dessa classe promissora em pacientes críticos. Registro ClincalTrials.gov: NCT05558098 Antecedentes sódioglicose sódio glicose renais investigados Métodos investigador multicêntrico randomizado aberto 50 11 1 1: mg hospitalar Conclusão críticos ClincalTrials.gov ClincalTrialsgov ClincalTrials gov NCT NCT0555809 5 NCT055580 NCT05558 NCT0555 NCT055 NCT05 NCT0

resumo Crianças com déficit de crescimento por desnutrição perinatal apresentam especificidades na distribuição do percentual de gordura corporal (%GC) que não puderam ser detectadas por equações anteriores baseadas no %GC. Este estudo desenvolveu e validou equações preditivas do %GC derivadas de variáveis antropométricas em crianças de 7 a 10 anos residentes no Nordeste do Brasil, utilizando como referência a absorciometria radiológica de dupla energia (DXA). Foram utilizados dados de composição corporal de 58 crianças. O DXA foi usado como modelo de referência. Um modelo estatístico de regressão múltipla stepwise (forward) foi usado para desenvolver as equações. A análise de Bland-Altman (IC: 95%), teste t de Student pareado e o coeficiente de correlação intraclasse (CCI) foram utilizados para validar e comparar as equações. Duas novas equações foram desenvolvidas para ambos os sexos: meninos: %GC: 13,642 + (1,527*IMC) + (-0,345*Altura) + (0,875*Tríceps) + (0,290* Circunferência da cintura) e meninas: %GC: - 13,445 + (2,061*coxa). A análise de Bland-Altman mostrou boa concordância, com limites variando de -1,33 a 1,24% para meninos e -3,35 a 4,08% para meninas. O teste t de Student pareado não mostrou diferença entre %GC-DXA e as duas novas equações (p>0,05), e o CCI foi de 0,948 e 0,915, respectivamente.

abstract Children with a deficit of growth because of perinatal malnutrition present specificities in the percentage of body fat (%BF) that could not be detected by previous fat mass-based equations. This study developed and validated predictive equations of the %BF derived from anthropometric variables in children aged 7 to 10 living in Northeast Brazil, using dual-energy x-ray absorptiometry (DXA) as a reference. Body composition data from 58 children were utilized. DXA was used as a reference. A stepwise (forward) multiple regression statistical model was used to develop the new equations. The Bland-Altman analysis (CI: 95%), paired Student's t-test, and the intraclass correlation coefficient (ICC) was used to validate and compare the developed equations. Two new equations were developed for either gender: boys: %BF: 13.642 + (1.527*BMI) + (-0.345*Height) + (0.875*Triceps) + (0.290* Waist Circumference) and girls: %BF: -13.445 + (2.061*Tight). The Bland-Altman analysis showed good agreement, with limits ranging from -1.33 to 1.24% for boys and -3.35 to 4.08% for girls. The paired Student’s t-test showed no difference between %BF-DXA and the two new equations (p> 0.05), and the ICC was 0.948 and 0.915, respectively. DXA-based anthropometric equations provide an accurate and noninvasive method to measure changes in the %BF in children.

Abstract An adequate amount of soil organic matter is considered essential for long-term sustainable agriculture, ensuring good productivity. Therefore, the present study quantified carbon and nitrogen stocks and microbiological activity in soil of three different areas: Forest-pasture System, Pasture System and preserved Caatinga - used as a reference of the experiment - located in a semi-arid region, in Watershed of Pajeú River, state of Pernambuco, Brazil. Eight trenches were opened in each system to collect soil samples at depths of 0 - 10, 20 - 30 and 50 - 60 cm, for chemical and microbiological analysis. In general, attributes of soil showed better results of land use in the following order: preserved Caatinga - Forest-pasture System - Pasture System.

ABSTRACT Background: The school community was heavily impacted by the Covid-19 pandemic, especially with the long time of school closures. This study aimed to analyze the seroprevalence of SARS-CoV-2 antibodies and possible factors associated with seropositivity for COVID-19 in teachers and other school staff, and to estimate the fraction of asymptomatic individuals by sex and age group. Methods: We conducted a serological survey of SARS-CoV-2 infections. An analytical cross-sectional study was conducted in Fortaleza, Brazil. Teachers and other staff members from pre-schools to universities of higher education to were investigated. Results: A total of 1,901 professionals participated in the study, of which 1,021 were staff and 880 were teachers. The seroprevalence of SARS-CoV-2 was 8.0% (152/1901). In the seropositive group, 48.3% were asymptomatic. There was a predominance of women (68.4%); and, 47.1% of the participants were between 31 and 45 years old. There was an increase in prevalence with increasing age. An inverse relationship was found for education level: more professionals with less education tested positive for COVID-19. The presence of an infected person living in the same household was significantly associated with positive results for COVID-19 among the professionals. Conclusions: This is the first study to report the seroprevalence of IgG against SARS-CoV-2 in Brazilian educational staff after the first wave of the disease. In this study, the seroprevalence was much lower than that in the general population. During school reopening, a small fraction of school workers showed serologically detectable signs of SARS-CoV-2 exposure.

RESUMO OBJETIVOS: Estimar a prevalência e fatores associados à hesitação ao uso da vacina contra o vírus SARS-CoV-2 no Maranhão, Brasil. MÉTODOS: Estudo transversal de base populacional realizado de 19 a 30 de outubro de 2020. As estimativas consideraram agrupamento, estratificação e não resposta. A seleção da amostra foi realizada em três estágios (estrato, setores censitários e domicílio). Após análise sistemática, em cada estrato foram selecionados trinta setores, totalizando 150 setores, sendo o número de domicílios em cada setor fixado em 34, totalizando 5.100 domicílios e um indivíduo por domicílio (residente pelo menos há seis meses e com um ano de idade ou mais) selecionado por amostra aleatória simples. A intenção de ser vacinado foi questionada aos participantes. Foi realizada análise descritiva (frequências ponderadas) e teste do qui-quadrado de Pearson para verificar associação univariada entre as variáveis independentes e o desfecho (p < 0,05). Realizou-se análise multivariada robusta utilizando-se modelagem hierarquizada em três níveis. RESULTADOS: Foram entrevistados 4.630 indivíduos. A prevalência de hesitação vacinal foi de 17,5% (IC95% 16,1–19,1%). Após ajuste final do modelo, a hesitação vacinal foi estatisticamente maior entre moradores das cidades de Imperatriz (24,0%; RP = 1,48; IC95% 1,09–2,02) e de munícipios da Grande Ilha de São Luís (20,7%; RP = 1,34; IC95% 1,02–1,76), pessoas do sexo feminino (19,8%; RP = 1,44; IC95% 1,20–1,75), idosos (22,8%; RP = 1,79; IC95% 1,30–2,46), pertencentes às religiões de denominação evangélica (24,1%; RP = 1,49; IC95% 1,24–1,79) e entre aqueles sem relato de sintomas (18,6%; RP = 1,24; IC95% 1,02–1,51). Outras características socioeconômicas e demográficas, assim como variáveis relacionadas ao mercado de trabalho, comportamentos e condições de saúde dos entrevistados, não tiveram diferença estatística. CONCLUSÃO: A prevalência de hesitação vacinal no Maranhão e sua associação com fatores individuais, contextuais e clínicos revelam os grupos e contextos mais resistentes e que devem merecer atenção especial das estratégias públicas para garantir a ampla vacinação.

ABSTRACT OBJECTIVES: To estimate the prevalence and factors associated with hesitancy in getting the vaccine against SARS-CoV-2 in Maranhão, Brazil. METHODS: This is a cross-sectional population-based study conducted from October 19 to 30, 2020. The estimates were calculated based on clustering, stratification, and non-response. A three-stage sampling was adopted, considering stratum, census tracts, and domicile. After systematic analysis, thirty sectors were selected in each stratum, totaling 150 sectors. Each sector contained a fixed number of 34 households, thus totaling 5,100 households. One individual within each household (resident for at least six months and aged one year or more) was selected by a simple random sampling. We questioned participants about their vaccination intention. Univariate association between independent variables and the outcome were verified using descriptive analysis (weighted frequencies) and Pearson's chi-square test (p < 0.05). Robust multivariate analysis was performed using a three-level hierarchical model. RESULTS: We found 17.5% (95%CI 16.1–19.1%) of the 4,630 individuals interviewed to report hesitancy to be vaccinated against covid-19. After final model adjustment, vaccination hesitancy was statistically higher among residents of the cities of Imperatriz (24.0%; RP = 1.48; IC95% 1.09–2.02) and municipalities of the Grande Ilha de São Luís (20.7%; RP = 1.34; 95%CI 1.02–1.76), female individuals (19.8%; RP = 1.44; 95%CI 1.20–1.75), older adults (22.8%; RP = 1.79; IC95% 1.30–2.46), evangelicals (24.1%; RP = 1.49; 95%CI 1.24–1.79), and those without reported symptoms (18.6%; RP = 1.24; 95%CI 1.02–1.51). We found no statistical differences for other socioeconomic and demographic characteristics, as well as variables related to the labor market, behaviors, and health conditions of the interviewees. CONCLUSION: The prevalence of vaccine hesitancy in Maranhão and its association with individual, contextual, and clinical factors enable us to identify the groups and contexts of greatest resistance, requiring special attention from public strategies to ensure wide vaccination.

RESUMO OBJETIVOS: Estimar a prevalência e fatores associados à hesitação ao uso da vacina contra o vírus SARS-CoV-2 no Maranhão, Brasil. MÉTODOS: Estudo transversal de base populacional realizado de 19 a 30 de outubro de 2020. As estimativas consideraram agrupamento, estratificação e não resposta. A seleção da amostra foi realizada em três estágios (estrato, setores censitários e domicílio). Após análise sistemática, em cada estrato foram selecionados trinta setores, totalizando 150 setores, sendo o número de domicílios em cada setor fixado em 34, totalizando 5.100 domicílios e um indivíduo por domicílio (residente pelo menos há seis meses e com um ano de idade ou mais) selecionado por amostra aleatória simples. A intenção de ser vacinado foi questionada aos participantes. Foi realizada análise descritiva (frequências ponderadas) e teste do qui-quadrado de Pearson para verificar associação univariada entre as variáveis independentes e o desfecho (p < 0,05). Realizou-se análise multivariada robusta utilizando-se modelagem hierarquizada em três níveis. RESULTADOS: Foram entrevistados 4.630 indivíduos. A prevalência de hesitação vacinal foi de 17,5% (IC95% 16,1–19,1%). Após ajuste final do modelo, a hesitação vacinal foi estatisticamente maior entre moradores das cidades de Imperatriz (24,0%; RP = 1,48; IC95% 1,09–2,02) e de munícipios da Grande Ilha de São Luís (20,7%; RP = 1,34; IC95% 1,02–1,76), pessoas do sexo feminino (19,8%; RP = 1,44; IC95% 1,20–1,75), idosos (22,8%; RP = 1,79; IC95% 1,30–2,46), pertencentes às religiões de denominação evangélica (24,1%; RP = 1,49; IC95% 1,24–1,79) e entre aqueles sem relato de sintomas (18,6%; RP = 1,24; IC95% 1,02–1,51). Outras características socioeconômicas e demográficas, assim como variáveis relacionadas ao mercado de trabalho, comportamentos e condições de saúde dos entrevistados, não tiveram diferença estatística. CONCLUSÃO: A prevalência de hesitação vacinal no Maranhão e sua associação com fatores individuais, contextuais e clínicos revelam os grupos e contextos mais resistentes e que devem merecer atenção especial das estratégias públicas para garantir a ampla vacinação.

ABSTRACT OBJECTIVES: To estimate the prevalence and factors associated with hesitancy in getting the vaccine against SARS-CoV-2 in Maranhão, Brazil. METHODS: This is a cross-sectional population-based study conducted from October 19 to 30, 2020. The estimates were calculated based on clustering, stratification, and non-response. A three-stage sampling was adopted, considering stratum, census tracts, and domicile. After systematic analysis, thirty sectors were selected in each stratum, totaling 150 sectors. Each sector contained a fixed number of 34 households, thus totaling 5,100 households. One individual within each household (resident for at least six months and aged one year or more) was selected by a simple random sampling. We questioned participants about their vaccination intention. Univariate association between independent variables and the outcome were verified using descriptive analysis (weighted frequencies) and Pearson's chi-square test (p < 0.05). Robust multivariate analysis was performed using a three-level hierarchical model. RESULTS: We found 17.5% (95%CI 16.1–19.1%) of the 4,630 individuals interviewed to report hesitancy to be vaccinated against covid-19. After final model adjustment, vaccination hesitancy was statistically higher among residents of the cities of Imperatriz (24.0%; RP = 1.48; IC95% 1.09–2.02) and municipalities of the Grande Ilha de São Luís (20.7%; RP = 1.34; 95%CI 1.02–1.76), female individuals (19.8%; RP = 1.44; 95%CI 1.20–1.75), older adults (22.8%; RP = 1.79; IC95% 1.30–2.46), evangelicals (24.1%; RP = 1.49; 95%CI 1.24–1.79), and those without reported symptoms (18.6%; RP = 1.24; 95%CI 1.02–1.51). We found no statistical differences for other socioeconomic and demographic characteristics, as well as variables related to the labor market, behaviors, and health conditions of the interviewees. CONCLUSION: The prevalence of vaccine hesitancy in Maranhão and its association with individual, contextual, and clinical factors enable us to identify the groups and contexts of greatest resistance, requiring special attention from public strategies to ensure wide vaccination.

O estudo teve como objetivos, descrever o atraso na notificação de óbitos por COVID-19 na cidade de São Luís, Maranhão, Brasil, e demonstrar o impacto sobre o monitoramento oportuno e modelagem da pandemia. O estudo teve como objetivo secundário determinar a medida em que a nowcasting é capaz de diminuir a defasagem na notificação de óbitos. Analisamos os dados de mortalidade por COVID-19 registrados diariamente no Boletim Epidemiológico da Secretaria de Estado da Saúde do Maranhão e calculamos o atraso na notificação entre 23 de março e 29 de agosto de 2020. Para ilustrar o impacto do atraso na notificação de óbitos e testar a efetividade de uma nowcasting bayesiana para melhorar a qualidade dos dados, ajustamos um modelo hierárquico bayesiano semi-mecanístico. Apenas 17,8% dos óbitos foram notificados sem atraso ou no dia seguinte, enquanto 40,5% foram atrasados em mais de 30 dias. Devido ao atraso na notificação, houve uma subestimação inicial nos óbitos. Entre 7 de junho e 29 de agosto, 644 óbitos foram notificados, mas apenas 116 mortes ocorreram nesse período. O uso da técnica de nowcasting bayesiana melhorou parcialmente a qualidade dos dados de mortalidade no pico da epidemia, apresentando estimativas mais ajustadas ao cenário observado na cidade, mas não se mostrou útil quase dois meses depois do pico. O atraso na notificação de óbitos pode interferir diretamente nas decisões assertivas e oportunas sobre o combate à pandemia da COVID-19. Portanto, o sistema brasileiro de vigilância epidemiológica deve ser revisto urgentemente, e o registro da data do óbito deve ser obrigatório. A técnica de nowcasting mostrou ser parcialmente eficaz na melhoria dos dados de mortalidade no auge da pandemia, mas não depois.

This study describes the COVID-19 death reporting delay in the city of São Luís, Maranhão State, Brazil, and shows its impact on timely monitoring and modeling of the COVID-19 pandemic, while seeking to ascertain how nowcasting can improve death reporting delay. We analyzed COVID-19 death data reported daily in the Epidemiological Bulletin of the State Health Secretariat of Maranhão and calculated the reporting delay from March 23 to August 29, 2020. A semi-mechanistic Bayesian hierarchical model was fitted to illustrate the impact of death reporting delay and test the effectiveness of a Bayesian Nowcasting in improving data quality. Only 17.8% of deaths were reported without delay or the day after, while 40.5% were reported more than 30 days late. Following an initial underestimation due to reporting delay, 644 deaths were reported from June 7 to August 29, although only 116 deaths occurred during this period. Using the Bayesian nowcasting technique partially improved the quality of mortality data during the peak of the pandemic, providing estimates that better matched the observed scenario in the city, becoming unusable nearly two months after the peak. As delay in death reporting can directly interfere with assertive and timely decision-making regarding the COVID-19 pandemic, the Brazilian epidemiological surveillance system must be urgently revised and notifying the date of death must be mandatory. Nowcasting has proven somewhat effective in improving the quality of mortality data, but only at the peak of the pandemic.

La propuesta de este estudio es describir la demora en la notificación de muertes por COVID-19, en la ciudad São Luís, Maranhão, Brasil, y demostrar su impacto en el seguimiento puntual, así como en el modelaje de la pandemia de COVID-19. Un objetivo secundario fue confirmar el alcance, donde la previsión inmediata es capaz de mejorar el retraso en la notificación de las muertes. Analizamos los datos de muertes por COVID-19 diariamente en el Boletín Epidemiológico de la Secretaría de Estado de la Salud de Maranhão y calculamos los atrasos notificados desde el 23 de marzo al 29 de agosto, 2020. Con el fin de ilustrar el impacto del retraso en la notificación de muertes, y para probar la efectividad de la predicción inmediata bayesiana en la mejora de los datos de calidad, ajustamos un modelo jerárquico bayesiano semi-mecanicista. Solo un 17.8% de las muertes se notificaron sin atrasos o el día después, mientras que un 40.5% se vieron retrasadas durante más de 30 días. Debido a la demora informada, se produjo una subestimación inicial de muertes. No obstante, desde el 7 de junio al 29 de agosto, se informó de 644 muertes, pero solamente 116 muertes se produjeron durante este periodo. El uso de la técnica de predicción inmediata bayesiana mejoró parcialmente la calidad de la información de mortalidad durante el pico de la epidemia, presentando estimaciones que se ajustan mejor al escenario observado en la ciudad, pero no fue útil casi 2 meses después del pico. El retraso en la notificación de muertes podría interferir directamente en la toma de decisiones asertivas y puntuales, respecto a la pandemia de COVID-19. Por consiguiente, se debe revisar urgentemente el sistema brasileño de vigilancia epidemiológica y la notificación de la fecha de muerte debería ser obligatoria. La técnica de predicción inmediata ha demostrado ser bastante efectiva para mejorar la calidad de los datos de mortalidad solamente en el pico pandémico, pero no después.

O estudo teve como objetivos, descrever o atraso na notificação de óbitos por COVID-19 na cidade de São Luís, Maranhão, Brasil, e demonstrar o impacto sobre o monitoramento oportuno e modelagem da pandemia. O estudo teve como objetivo secundário determinar a medida em que a nowcasting é capaz de diminuir a defasagem na notificação de óbitos. Analisamos os dados de mortalidade por COVID-19 registrados diariamente no Boletim Epidemiológico da Secretaria de Estado da Saúde do Maranhão e calculamos o atraso na notificação entre 23 de março e 29 de agosto de 2020. Para ilustrar o impacto do atraso na notificação de óbitos e testar a efetividade de uma nowcasting bayesiana para melhorar a qualidade dos dados, ajustamos um modelo hierárquico bayesiano semi-mecanístico. Apenas 17,8% dos óbitos foram notificados sem atraso ou no dia seguinte, enquanto 40,5% foram atrasados em mais de 30 dias. Devido ao atraso na notificação, houve uma subestimação inicial nos óbitos. Entre 7 de junho e 29 de agosto, 644 óbitos foram notificados, mas apenas 116 mortes ocorreram nesse período. O uso da técnica de nowcasting bayesiana melhorou parcialmente a qualidade dos dados de mortalidade no pico da epidemia, apresentando estimativas mais ajustadas ao cenário observado na cidade, mas não se mostrou útil quase dois meses depois do pico. O atraso na notificação de óbitos pode interferir diretamente nas decisões assertivas e oportunas sobre o combate à pandemia da COVID-19. Portanto, o sistema brasileiro de vigilância epidemiológica deve ser revisto urgentemente, e o registro da data do óbito deve ser obrigatório. A técnica de nowcasting mostrou ser parcialmente eficaz na melhoria dos dados de mortalidade no auge da pandemia, mas não depois.

This study describes the COVID-19 death reporting delay in the city of São Luís, Maranhão State, Brazil, and shows its impact on timely monitoring and modeling of the COVID-19 pandemic, while seeking to ascertain how nowcasting can improve death reporting delay. We analyzed COVID-19 death data reported daily in the Epidemiological Bulletin of the State Health Secretariat of Maranhão and calculated the reporting delay from March 23 to August 29, 2020. A semi-mechanistic Bayesian hierarchical model was fitted to illustrate the impact of death reporting delay and test the effectiveness of a Bayesian Nowcasting in improving data quality. Only 17.8% of deaths were reported without delay or the day after, while 40.5% were reported more than 30 days late. Following an initial underestimation due to reporting delay, 644 deaths were reported from June 7 to August 29, although only 116 deaths occurred during this period. Using the Bayesian nowcasting technique partially improved the quality of mortality data during the peak of the pandemic, providing estimates that better matched the observed scenario in the city, becoming unusable nearly two months after the peak. As delay in death reporting can directly interfere with assertive and timely decision-making regarding the COVID-19 pandemic, the Brazilian epidemiological surveillance system must be urgently revised and notifying the date of death must be mandatory. Nowcasting has proven somewhat effective in improving the quality of mortality data, but only at the peak of the pandemic.

La propuesta de este estudio es describir la demora en la notificación de muertes por COVID-19, en la ciudad São Luís, Maranhão, Brasil, y demostrar su impacto en el seguimiento puntual, así como en el modelaje de la pandemia de COVID-19. Un objetivo secundario fue confirmar el alcance, donde la previsión inmediata es capaz de mejorar el retraso en la notificación de las muertes. Analizamos los datos de muertes por COVID-19 diariamente en el Boletín Epidemiológico de la Secretaría de Estado de la Salud de Maranhão y calculamos los atrasos notificados desde el 23 de marzo al 29 de agosto, 2020. Con el fin de ilustrar el impacto del retraso en la notificación de muertes, y para probar la efectividad de la predicción inmediata bayesiana en la mejora de los datos de calidad, ajustamos un modelo jerárquico bayesiano semi-mecanicista. Solo un 17.8% de las muertes se notificaron sin atrasos o el día después, mientras que un 40.5% se vieron retrasadas durante más de 30 días. Debido a la demora informada, se produjo una subestimación inicial de muertes. No obstante, desde el 7 de junio al 29 de agosto, se informó de 644 muertes, pero solamente 116 muertes se produjeron durante este periodo. El uso de la técnica de predicción inmediata bayesiana mejoró parcialmente la calidad de la información de mortalidad durante el pico de la epidemia, presentando estimaciones que se ajustan mejor al escenario observado en la ciudad, pero no fue útil casi 2 meses después del pico. El retraso en la notificación de muertes podría interferir directamente en la toma de decisiones asertivas y puntuales, respecto a la pandemia de COVID-19. Por consiguiente, se debe revisar urgentemente el sistema brasileño de vigilancia epidemiológica y la notificación de la fecha de muerte debería ser obligatoria. La técnica de predicción inmediata ha demostrado ser bastante efectiva para mejorar la calidad de los datos de mortalidad solamente en el pico pandémico, pero no después.

ABSTRACT OBJECTIVE To estimate the 2020 all-cause and COVID-19 excess mortality according to sex, age, race/color, and state, and to compare mortality rates by selected causes with that of the five previous years in Brazil. METHODS Data from the Mortality Information System were used. Expected deaths for 2020 were estimated from 2015 to 2019 data using a negative binomial log-linear model. RESULTS Excess deaths in Brazil in 2020 amounted to 13.7%, and the ratio of excess deaths to COVID-19 deaths was 0.90. Reductions in deaths from cardiovascular diseases (CVD), respiratory diseases, and external causes, and an increase in ill-defined causes were all noted. Excess deaths were also found to be heterogeneous, being higher in the Northern, Center-Western, and Northeastern states. In some states, the number of COVID-19 deaths was lower than that of excess deaths, whereas the opposite occurred in others. Moreover, excess deaths were higher in men aged 20 to 59, and in black, yellow, or indigenous individuals. Meanwhile, excess mortality was lower in women, in individuals aged 80 years or older, and in whites. Additionally, deaths among those aged 0 to 19 were 7.2% lower than expected, with reduction in mortality from respiratory diseases and external causes. There was also a drop in mortality due to external causes in men and in those aged 20 to 39 years. Moreover, reductions in deaths from CVD and neoplasms were noted in some states and groups. CONCLUSION There is evidence of underreporting of COVID-19 deaths and of the possible impact of restrictive measures in the reduction of deaths from external causes and respiratory diseases. The impacts of COVID-19 on mortality were heterogeneous among the states and groups, revealing that regional, demographic, socioeconomic, and racial differences expose individuals in distinct ways to the risk of death from both COVID-19 and other causes.

ABSTRACT OBJECTIVE To estimate the 2020 all-cause and COVID-19 excess mortality according to sex, age, race/color, and state, and to compare mortality rates by selected causes with that of the five previous years in Brazil. METHODS Data from the Mortality Information System were used. Expected deaths for 2020 were estimated from 2015 to 2019 data using a negative binomial log-linear model. RESULTS Excess deaths in Brazil in 2020 amounted to 13.7%, and the ratio of excess deaths to COVID-19 deaths was 0.90. Reductions in deaths from cardiovascular diseases (CVD), respiratory diseases, and external causes, and an increase in ill-defined causes were all noted. Excess deaths were also found to be heterogeneous, being higher in the Northern, Center-Western, and Northeastern states. In some states, the number of COVID-19 deaths was lower than that of excess deaths, whereas the opposite occurred in others. Moreover, excess deaths were higher in men aged 20 to 59, and in black, yellow, or indigenous individuals. Meanwhile, excess mortality was lower in women, in individuals aged 80 years or older, and in whites. Additionally, deaths among those aged 0 to 19 were 7.2% lower than expected, with reduction in mortality from respiratory diseases and external causes. There was also a drop in mortality due to external causes in men and in those aged 20 to 39 years. Moreover, reductions in deaths from CVD and neoplasms were noted in some states and groups. CONCLUSION There is evidence of underreporting of COVID-19 deaths and of the possible impact of restrictive measures in the reduction of deaths from external causes and respiratory diseases. The impacts of COVID-19 on mortality were heterogeneous among the states and groups, revealing that regional, demographic, socioeconomic, and racial differences expose individuals in distinct ways to the risk of death from both COVID-19 and other causes.

ABSTRACT OBJECTIVE: To estimate the seroprevalence of SARS-CoV-2 in the state of Maranhão, Brazil. METHODS: A population-based household survey was performed, from July 27, 2020 to August 8, 2020. The estimates considered clustering, stratification and non-response. Qualitative detection of IgM and IgG antibodies was performed in a fully-automated Elecsys® Anti-SARS-CoV-2 electrochemiluminescence immunoassay on the Cobas® e601 analyzer (Roche Diagnostics). RESULTS: In total, 3,156 individuals were interviewed. Seroprevalence of total antibodies against SARS-CoV-2 was 40.4% (95%CI 35.6-45.3). Population adherence to non-pharmaceutical interventions was higher at the beginning of the pandemic than in the last month. SARS-CoV-2 infection rates were significantly lower among mask wearers and among those who maintained social and physical distancing in the last month compared to their counterparts. Among the infected, 26.0% were asymptomatic. The infection fatality rate (IFR) was 0.14%, higher for men and older adults. The IFR based on excess deaths was 0.28%. The ratio of estimated infections to reported cases was 22.2. CONCLUSIONS: To the best of our knowledge, the seroprevalence of SARS-CoV-2 estimated in this population-based survey is one of the highest reported. The local herd immunity threshold may have been reached or might be reached soon.

ABSTRACT OBJECTIVE: To estimate the seroprevalence of SARS-CoV-2 in the state of Maranhão, Brazil. METHODS: A population-based household survey was performed, from July 27, 2020 to August 8, 2020. The estimates considered clustering, stratification and non-response. Qualitative detection of IgM and IgG antibodies was performed in a fully-automated Elecsys® Anti-SARS-CoV-2 electrochemiluminescence immunoassay on the Cobas® e601 analyzer (Roche Diagnostics). RESULTS: In total, 3,156 individuals were interviewed. Seroprevalence of total antibodies against SARS-CoV-2 was 40.4% (95%CI 35.6-45.3). Population adherence to non-pharmaceutical interventions was higher at the beginning of the pandemic than in the last month. SARS-CoV-2 infection rates were significantly lower among mask wearers and among those who maintained social and physical distancing in the last month compared to their counterparts. Among the infected, 26.0% were asymptomatic. The infection fatality rate (IFR) was 0.14%, higher for men and older adults. The IFR based on excess deaths was 0.28%. The ratio of estimated infections to reported cases was 22.2. CONCLUSIONS: To the best of our knowledge, the seroprevalence of SARS-CoV-2 estimated in this population-based survey is one of the highest reported. The local herd immunity threshold may have been reached or might be reached soon.