Transmissão oral da doença de Chagas pelo consumo de açaí: um desafio para a Vigilância Sanitária

The occurrence of acute Chagas disease (ACD) by oral transmission related to food consumption, untill 2004, was a little known or investigated event. Currently becomes frequent in the Amazon region and is related to the occurrence of recent outbreaks in several states.Recent cases in Brazil of ACD are related to the consumption of acai juice, considered essencial food in the diet of the population in the Northern Region. The acai berry has been appreciated both for its nutritional value, as by its characteristic flavor, ceasing to be consumed in the producing regions, extending throughout the brazilian territory and even exported to other countries.The aim of this study was to highlight the new challenges faced by public health agencies in preventing the transmission of Chagas disease by consumption of açaí. Although there are important strategies being implemented by Brazil to combat Chagas disease transmitted via food, there is still a need for incentives to search for that knowledge generated assist in understanding the oral transmission of this parasite and its better interpretation of epidemiological, prevention and control. Besides the implementation of Good Hygiene Practices, Good Manufacturing Practices and the rapprochement between science institutions and producers of acai to contribute in solving this problem.Até o ano de 2004, a ocorrência de doença de Chagas aguda (DCA) por transmissão oral, relacionada ao consumo de alimentos, constituía um evento pouco conhecido ou investigado. Atualmente tornou-se frequente na região amazônica e está relacionada à ocorrência de surtos recentes em diversos estados brasileiros.Os casos recentes notificados no Brasil de DCA estão relacionados ao consumo do suco de açaí, considerado um alimento essencial na dieta da população da Região Norte e muito apreciado nos demais estados brasileiros e em outros países.O objetivo deste trabalho foi destacar os novos desafios a serem enfrentados pelos órgãos de saúde pública na prevenção da transmissão da doença de Chagas pelo consumo de açaí.Apesar de existirem importantes estratégias sendo implementadas pelo Brasil no combate à doença de Chagas transmitida via alimento, ainda há a necessidade de incentivos à pesquisa para que conhecimentos gerados auxiliem na compreensão da transmissão oral e sua melhor interpretação epidemiológica, de prevenção e controle. A implementação das Boas Práticas de Higiene, Boas Práticas de Manufatura e a aproximação entre instituições de ciência e os produtores de açaí também poderão contribuir na solução deste problema

Influenza virus type/subtype and different infection profiles by age group during 2017/2018 season

DDI-INSA em colaboração com a Rede Portuguesa de Laboratórios para o Diagnóstico da GripeBackground: Influenza has a major impact in hospitalization during each influenza season. We analysed the influenza type/subtype distribution by age group and medical care wards (ambulatory, hospital, intensive care unit). Material and Methods: During 2017/2018 season, 14 hospitals from Portugal mainland and Atlantic Island (Azores and Madeira) reported to the National Influenza Centre 13747 cases of respiratory infection, all tested for influenza type and/or subtype. Epidemiological data: age, sample collection, hospital dwelling service and patient outcome were reported. Results: From the 13747 reported cases, 3717(27%) were influenza positive of which 2033 (55%) were influenza B, 722 (19%) A unsubtyped, 505 (14%) AH3, 442 (12%) AH1pdm09 and 15(0,1%) mixed infections. Influenza A was detected in 71% (204/208) of toddlers(<5 years) although in the remaining age groups influenza B was detected in more than 50% of the confirmed flu cases. Influenza B was the predominant virus in hospitalized and ICU influenza cases between 5-14 years (69% and 75%, respectively) and played a major role in elderly (65+ years) hospitalized and ICU cases(57% and 67%, respectively). AH1pdm09 virus was detected in 30% of the influenza confirmed ICU patients, 2.1 times more than in hospitalized cases in other wards and 3.3 times more than influenza AH1pdm09 cases in ambulatory care. Influenza mixed infection were detected sporadically,mainly in hospitalized and ICU patients. From 2080 known outcomes, 40(1.9%) patients deceased, influenza was confirmed in 11(28%) of these cases. Conclusions: Cocirculation of different influenza virus type/subtype may indicate different infection profiles by age groups and should guide influenza preventive/treatment measures.N/

Influenza seroprotection correlates with predominant circulating viruses during 2014/15 and 2015/16 seasons in Portugal

Rede Portuguesa de Laboratórios para o Diagnóstico da GripeBACKGROUND: Population immune profile for influenza is highly affected by circulating influenza viruses, thus changing the risk of infection for influenza. This study aims to assess influenza immunity in the Portuguese population by age groups, during 2014 and 2015 and establish a relationship between seroprotection and circulating influenza viruses in 2014/15 and 2015/16 seasons. METHODS: Two cross-sectional studies were developed based on a convenience serum sample collected in June 2014 (n=626) and July 2015 (n=675) in hospitals from mainland and Azores and Madeira.Serums equally represent all age groups. Antibody titers were evaluated by HI assay for strains recommended for seasonal influenza vaccine northern hemisphere,2014/15 and 2015/2016. Seroprevalences were estimated for each strain by age group and the association with seasonal cumulative influenza-like illness (ILI) rates for influenza virus during both seasons was analised. RESULTS: In June 2014 the highest seroprotection was observed for influenza A(H3) (39.0%; 95% CI: 36.2-43.8%) and A(H1)pdm09 (29.7; 95% CI: 26.3-33.4%), with higher levels in children 5-14 years old. In 2014/2015 a dominant circulation of influenza B/Yamagata was observed with high incidence rates in individuals under 65 years old, the ones that had lower seroprotection. Although before the start of the season high protection for A(H3) was observed, the circulation of the new drift A(H3) strains had gained an immunological advantage,in accordance with A(H3) elevated incidence rates observed during 2014/15. In July 2015 the highest seroprotection was observed for influenza B/ Yamagata (55.1%; 95% CI: 51.4-58.9%), 2.4 times the estimated 2014.This increase was even more pronounced in younger (≤ 4 years old), 6.3 times increase in 2015.This fact is in agreement with the predominant influenza B virus detected and the high ILI incidence rate observed in children during 2014/2015 epidemic. Seroprotection levels for influenza A in July 2015 were not significantly different from 2014.During 2015/16 season, influenza A(H1N1)pdm09 was predominant, with high incidence rate in < 65 year old. Influenza B/Victoria lineage,although detected at low levels increased in frequency, in agreement with the lowest level of seroprotection detected in the general population before the start of 2015/2016 season (21.8%; 95% CI: 18.7-24.0%). CONCLUSIONS There was a correlation between virus circulation, incidence rates for each age group and the previous seroprotection for seasonal influenza viruses.Our study highlights the value of measuring the serological profile for influenza to establishe risk groups for infection for which an increase preventive measures, including vaccination, should be fostered.info:eu-repo/semantics/publishedVersio

Influenza severe cases in hospitals, between 2014 and 2016 in Portugal

Rede Portuguesa de Laboratórios para o Diagnóstico da GripeBackground: Since 2009, the Portuguese Laboratory Network (PLNID) for Influenza Diagnosis has integrated 15 Laboratories in mainland and Atlantic Islands of Azores and Madeira. This PLNID added an important contribute to the National Influenza Surveillance Program regarding severe and hospitalized influenza cases. The present study aims to describe influenza viruses detected in influenza like illness (ILI) cases: outpatients (Outp), hospitalized (Hosp), and intensive care units (ICU), between 2014 and 2016. Methods: The PLNID performs influenza virus diagnosis by biomolecular methodologies. Weekly reports to the National Influenza Reference Laboratory ILI cases tested for influenza. Reports include data on detecting viruses, hospital assistance, antiviral therapeutics, and information on death outcome. Were reported during two winter seasons 8059 ILI cases,being 3560 cases in 2014/15 (1024 in Outp, 1750 Hosp, and 606 in ICU) and 4499 cases in 2015/2016 (1933 in Outp, 1826 Hosp, and 740 in ICU). Results: The higher percentage of influenza positive cases were detected in Outp in both seasons, 18% during 2014/15 and 20% in 2015/16. In 2014/15,influenza cases were more frequent in individuals older than 65 years old and these required more hospitalizations,even in ICU. In 2015/16,the influenza cases were mainly detected in individuals between 15-64 years old. A higher proportion of influenza positive cases with hospitalization in ICU were observed in adults between 45-64 years old.During the study period,the predominant circulating influenza viruses were different in the two seasons: influenza B and A(H3) co-circulated in 2014/15,and influenza A(H1)pdm09 was predominant during 2015/16. Even when influenza A is notthe dominant virus, A(H3) and A(H1)pdm09 subtypes correlate with higher detection rate in hospitalized cases (Hosp and UCI), with higher frequencies in adults older than 45. Influenza B,detected in higher proportion in outpatients, was frequently relatedwith influenza cases in younger age groups: 0-4 and 5-14 years old. Conclusions: This study highlights the correlation of theinfluenza virus type/subtype that circulates in each season with the possible need for hospitalization and intensive care in special groups of the population. Circulation of influenza A subtypes can cause more frequentdisease in individuals older than 45, with need of hospitalization including intensive care. On the other hand, influenza B is more frequently associated with less severe cases and with infection in children and younger adults. Influenza B circulation might predict lower number of hospitalizations.The identification of influenza type in circulation,byPLNID ineach season, could guide action planning measures in population health care.info:eu-repo/semantics/publishedVersio

Rede Portuguesa de Laboratórios para o Diagnóstico da Gripe: inverno 2013/2014

A Rede Portuguesa de Laboratórios para o Diagnóstico da Gripe (RPLDG) integra, atualmente, 15 laboratórios maioritariamente hospitalares e é coordenada pelo Laboratório Nacional de Referência para o Vírus da Gripe (LNRVG) do Departamento de Doenças Infecciosas do Instituto Nacional de Saúde Doutor Ricardo Jorge, I.P. A RPLDG realiza o diagnóstico laboratorial do vírus da gripe assim como de outros vírus respiratórios, permitindo um conhecimento mais preciso da etiologia das infeções respiratórias, particularmente em casos hospitalizados de infeção respiratória aguda grave, constituindo um complemento valioso para o PNVG. Os casos de SG provenientes de emergências hospitalares e casos de Infecção Respiratória Aguda Grave, incluindo casos com internamento em unidade de cuidados intensivos, foram notificados pelos laboratórios da Rede ao LNRVG. Dos 15 laboratórios da Rede, 13 notificaram casos de doença respiratória durante a época de 2013/2014. Os dados recolhidos foram inseridos em suporte informático tendo as bases de dados sido agregadas numa base de dados comum submetida a um processo de validação de congruência de dados. Os dados analisados correspondem ao período que decorreu entre a semana 38 de 2013 e a semana 21 de 2014. Foram notificados pelos Laboratórios da Rede um total de 3790 casos de infeção respiratória. O maior número de notificações foi observado no mês de janeiro e fevereiro (semanas 2/2014 a 8/2014), com um pico de ocorrência na semana 4/2014 com a notificação de 454 casos de infeção respiratória. O vírus da gripe foi detetado em 822 casos de infeção respiratória. O vírus influenza A foi identificado em 807 (98,2%) dos casos positivos, destes 403 (49,0%) pertencem ao subtipo A(H1)pdm09, 98 (12,0%) ao subtipo A(H3) e 306 (37,0%) vírus influenza A não foram subtipados. O vírus influenza B foi detetado em 14 (2,0%) casos. Foi identificada 1 infecção mista por vírus influenza A(H1)pdm09 e A(H3) (0,1%). A maior percentagem de casos de gripe foi observada em indivíduos entre os 15 e os 64 anos sendo o vírus influenza A(H1)pdm09 o predominantemente detetado. Nas crianças com menos de 4 anos o vírus influenza foi detetado numa proporção reduzida, apenas em 8,8% dos casos analisados laboratorialmente, sendo o agente mais detetado neste grupo etário, o vírus sincicial respiratório (dados não mostrados). A Rede Portuguesa de Laboratórios para o Diagnóstico da Gripe permitiu a deteção dos vírus da gripe em meio hospitalar, incluindo doentes em internamento e UCI. Os vírus influenza A foram predominantes e detetados em maior percentagem nos jovens e adultos

SARS-CoV-2 introductions and early dynamics of the epidemic in Portugal

Genomic surveillance of SARS-CoV-2 in Portugal was rapidly implemented by the National Institute of Health in the early stages of the COVID-19 epidemic, in collaboration with more than 50 laboratories distributed nationwide. Methods By applying recent phylodynamic models that allow integration of individual-based travel history, we reconstructed and characterized the spatio-temporal dynamics of SARSCoV-2 introductions and early dissemination in Portugal. Results We detected at least 277 independent SARS-CoV-2 introductions, mostly from European countries (namely the United Kingdom, Spain, France, Italy, and Switzerland), which were consistent with the countries with the highest connectivity with Portugal. Although most introductions were estimated to have occurred during early March 2020, it is likely that SARS-CoV-2 was silently circulating in Portugal throughout February, before the first cases were confirmed. Conclusions Here we conclude that the earlier implementation of measures could have minimized the number of introductions and subsequent virus expansion in Portugal. This study lays the foundation for genomic epidemiology of SARS-CoV-2 in Portugal, and highlights the need for systematic and geographically-representative genomic surveillance.We gratefully acknowledge to Sara Hill and Nuno Faria (University of Oxford) and Joshua Quick and Nick Loman (University of Birmingham) for kindly providing us with the initial sets of Artic Network primers for NGS; Rafael Mamede (MRamirez team, IMM, Lisbon) for developing and sharing a bioinformatics script for sequence curation (https://github.com/rfm-targa/BioinfUtils); Philippe Lemey (KU Leuven) for providing guidance on the implementation of the phylodynamic models; Joshua L. Cherry (National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health) for providing guidance with the subsampling strategies; and all authors, originating and submitting laboratories who have contributed genome data on GISAID (https://www.gisaid.org/) on which part of this research is based. The opinions expressed in this article are those of the authors and do not reflect the view of the National Institutes of Health, the Department of Health and Human Services, or the United States government. This study is co-funded by Fundação para a Ciência e Tecnologia and Agência de Investigação Clínica e Inovação Biomédica (234_596874175) on behalf of the Research 4 COVID-19 call. Some infrastructural resources used in this study come from the GenomePT project (POCI-01-0145-FEDER-022184), supported by COMPETE 2020 - Operational Programme for Competitiveness and Internationalisation (POCI), Lisboa Portugal Regional Operational Programme (Lisboa2020), Algarve Portugal Regional Operational Programme (CRESC Algarve2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF), and by Fundação para a Ciência e a Tecnologia (FCT).info:eu-repo/semantics/publishedVersio

Elective cancer surgery in COVID-19-free surgical pathways during the SARS-CoV-2 pandemic: An international, multicenter, comparative cohort study

PURPOSE As cancer surgery restarts after the first COVID-19 wave, health care providers urgently require data to determine where elective surgery is best performed. This study aimed to determine whether COVID-19–free surgical pathways were associated with lower postoperative pulmonary complication rates compared with hospitals with no defined pathway. PATIENTS AND METHODS This international, multicenter cohort study included patients who underwent elective surgery for 10 solid cancer types without preoperative suspicion of SARS-CoV-2. Participating hospitals included patients from local emergence of SARS-CoV-2 until April 19, 2020. At the time of surgery, hospitals were defined as having a COVID-19–free surgical pathway (complete segregation of the operating theater, critical care, and inpatient ward areas) or no defined pathway (incomplete or no segregation, areas shared with patients with COVID-19). The primary outcome was 30-day postoperative pulmonary complications (pneumonia, acute respiratory distress syndrome, unexpected ventilation). RESULTS Of 9,171 patients from 447 hospitals in 55 countries, 2,481 were operated on in COVID-19–free surgical pathways. Patients who underwent surgery within COVID-19–free surgical pathways were younger with fewer comorbidities than those in hospitals with no defined pathway but with similar proportions of major surgery. After adjustment, pulmonary complication rates were lower with COVID-19–free surgical pathways (2.2% v 4.9%; adjusted odds ratio [aOR], 0.62; 95% CI, 0.44 to 0.86). This was consistent in sensitivity analyses for low-risk patients (American Society of Anesthesiologists grade 1/2), propensity score–matched models, and patients with negative SARS-CoV-2 preoperative tests. The postoperative SARS-CoV-2 infection rate was also lower in COVID-19–free surgical pathways (2.1% v 3.6%; aOR, 0.53; 95% CI, 0.36 to 0.76). CONCLUSION Within available resources, dedicated COVID-19–free surgical pathways should be established to provide safe elective cancer surgery during current and before future SARS-CoV-2 outbreaks