57 research outputs found

    Índice de absenteísmo ocupacional da equipe de enfermagem durante os impactos da pandemia de COVID-19 / Nursing staff occupational absenteeism rate during the impacts of the COVID-19 pandemic

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    Introdução: Absenteísmo é um termo usado para nomear a ausência do trabalhador nos momentos em que este deveria estar praticando seu trabalho, e o somatório dos períodos em que os empregados se ausentaram, incluindo seus atrasos. As ausências possuem uma quantidade demasiada de motivos, podendo ser referida por saúde relacionada às condições físicas, mentais e ambientais. De igual modo, a Enfermagem está propensa a se abster pelos mesmos fatores. Objetivo: Identificar o nível de absenteísmo nos profissionais da enfermagem em um Serviço de Pronto Atendimento (SPA) de Manaus-AM durante a pandemia de Covid-19. Metodologia: Trata-se de uma pesquisa de campo, exploratória, descritiva e de natureza qualitativa, com dados coletados, os quais continham informações de prontuários que apontavam os elementos que levaram à  falta de profissionais perante o efeito da pandemia, entre o período de março de 2020 a março de 2021, e que fora realizada em um SESMT da cidade de Manaus, Amazonas, identificando os motivos que causaram o afastamento dos trabalhadores, sendo eles, enfermeiros e técnicos de enfermagem, assim, apresentando dados obtidos para análise do reflexo no seu dimensionamento. Resultados: Profissionais ausentes por fatores diversos, no entanto, com maior prevalência oriundos de casos de Covid-19, acometimento do sistema respiratório e sistema ósteo, condições familiares, saúde mental e comportamental. Maior incidência de ausências nos meses de maio, junho e dezembro de 2020, e janeiro de 2021. Conclusão: Através do estudo, fora permitido averiguar as razões pelas quais profissionais de saúde na área da Enfermagem realizaram absenteísmo no período pandêmico, podendo assim, analisar seus fatores e reflexos no ambiente de trabalho

    Diretriz sobre Diagnóstico e Tratamento da Cardiomiopatia Hipertrófica – 2024

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    Hypertrophic cardiomyopathy (HCM) is a form of genetically caused heart muscle disease, characterized by the thickening of the ventricular walls. Diagnosis requires detection through imaging methods (Echocardiogram or Cardiac Magnetic Resonance) showing any segment of the left ventricular wall with a thickness > 15 mm, without any other probable cause. Genetic analysis allows the identification of mutations in genes encoding different structures of the sarcomere responsible for the development of HCM in about 60% of cases, enabling screening of family members and genetic counseling, as an important part of patient and family management. Several concepts about HCM have recently been reviewed, including its prevalence of 1 in 250 individuals, hence not a rare but rather underdiagnosed disease. The vast majority of patients are asymptomatic. In symptomatic cases, obstruction of the left ventricular outflow tract (LVOT) is the primary disorder responsible for symptoms, and its presence should be investigated in all cases. In those where resting echocardiogram or Valsalva maneuver does not detect significant intraventricular gradient (> 30 mmHg), they should undergo stress echocardiography to detect LVOT obstruction. Patients with limiting symptoms and severe LVOT obstruction, refractory to beta-blockers and verapamil, should receive septal reduction therapies or use new drugs inhibiting cardiac myosin. Finally, appropriately identified patients at increased risk of sudden death may receive prophylactic measure with implantable cardioverter-defibrillator (ICD) implantation.La miocardiopatía hipertrófica (MCH) es una forma de enfermedad cardíaca de origen genético, caracterizada por el engrosamiento de las paredes ventriculares. El diagnóstico requiere la detección mediante métodos de imagen (Ecocardiograma o Resonancia Magnética Cardíaca) que muestren algún segmento de la pared ventricular izquierda con un grosor > 15 mm, sin otra causa probable. El análisis genético permite identificar mutaciones en genes que codifican diferentes estructuras del sarcómero responsables del desarrollo de la MCH en aproximadamente el 60% de los casos, lo que permite el tamizaje de familiares y el asesoramiento genético, como parte importante del manejo de pacientes y familiares. Varios conceptos sobre la MCH han sido revisados recientemente, incluida su prevalencia de 1 entre 250 individuos, por lo tanto, no es una enfermedad rara, sino subdiagnosticada. La gran mayoría de los pacientes son asintomáticos. En los casos sintomáticos, la obstrucción del tracto de salida ventricular izquierdo (TSVI) es el trastorno principal responsable de los síntomas, y su presencia debe investigarse en todos los casos. En aquellos en los que el ecocardiograma en reposo o la maniobra de Valsalva no detecta un gradiente intraventricular significativo (> 30 mmHg), deben someterse a ecocardiografía de esfuerzo para detectar la obstrucción del TSVI. Los pacientes con síntomas limitantes y obstrucción grave del TSVI, refractarios al uso de betabloqueantes y verapamilo, deben recibir terapias de reducción septal o usar nuevos medicamentos inhibidores de la miosina cardíaca. Finalmente, los pacientes adecuadamente identificados con un riesgo aumentado de muerte súbita pueden recibir medidas profilácticas con el implante de un cardioversor-desfibrilador implantable (CDI).A cardiomiopatia hipertrófica (CMH) é uma forma de doença do músculo cardíaco de causa genética, caracterizada pela hipertrofia das paredes ventriculares. O diagnóstico requer detecção por métodos de imagem (Ecocardiograma ou Ressonância Magnética Cardíaca) de qualquer segmento da parede do ventrículo esquerdo com espessura > 15 mm, sem outra causa provável. A análise genética permite identificar mutações de genes codificantes de diferentes estruturas do sarcômero responsáveis pelo desenvolvimento da CMH em cerca de 60% dos casos, permitindo o rastreio de familiares e aconselhamento genético, como parte importante do manejo dos pacientes e familiares. Vários conceitos sobre a CMH foram recentemente revistos, incluindo sua prevalência de 1 em 250 indivíduos, não sendo, portanto, uma doença rara, mas subdiagnosticada. A vasta maioria dos pacientes é assintomática. Naqueles sintomáticos, a obstrução do trato de saída do ventrículo esquerdo (OTSVE) é o principal distúrbio responsável pelos sintomas, devendo-se investigar a sua presença em todos os casos. Naqueles em que o ecocardiograma em repouso ou com Manobra de Valsalva não detecta gradiente intraventricular significativo (> 30 mmHg), devem ser submetidos à ecocardiografia com esforço físico para detecção da OTSVE.   Pacientes com sintomas limitantes e grave OTSVE, refratários ao uso de betabloqueadores e verapamil, devem receber terapias de redução septal ou uso de novas drogas inibidoras da miosina cardíaca. Por fim, os pacientes adequadamente identificados com risco aumentado de morta súbita podem receber medida profilática com implante de cardiodesfibrilador implantável (CDI)

    Pervasive gaps in Amazonian ecological research

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    Pervasive gaps in Amazonian ecological research

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    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

    Diretriz Brasileira sobre a Saúde Cardiovascular no Climatério e na Menopausa – 2024

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    Women, who represent approximately half of the global population according to estimates as of January 2024, may experience signs and symptoms of menopause for at least one-third of their lives, during which they have a higher risk of cardiovascular morbidity and mortality. The effects of menopausal hormone therapy (MHT) on the progression of atherosclerosis and cardiovascular disease (CVD) events vary depending on the age at which MHT is initiated and the time since menopause until its initiation. Beneficial effects on CVD outcomes and all-cause mortality have been observed when MHT was initiated before the age of 60 or within 10 years after menopause. The decision regarding the initiation, dose, regimen, and duration of MHT should be made individually after discussing the benefits and risks with each patient. For primary prevention of postmenopausal chronic conditions, the combined use of estrogen and progestogen is not recommended in asymptomatic women, nor is the use of estrogen alone in hysterectomized women. Hormone-dependent neoplasms contraindicate MHT. For the treatment of genitourinary syndrome of menopause, vaginal estrogen therapy may be used in patients with known cardiovascular risk factors or established CVD. For women with contraindications to MHT or who refuse it, non-hormonal therapies with proven efficacy (antidepressants, gabapentin, and fezolinetant) may improve vasomotor symptoms. Compounded hormonal implants, or "bioidentical" and "compounded" hormones, and "hormone modulation" are not recommended due to lack of scientific evidence of their effectiveness and safety.Mujeres, que representan aproximadamente la mitad de la población mundial según estimaciones de enero de 2024, pueden experimentar signos y síntomas de la menopausia durante al menos un tercio de sus vidas, durante los cuales tienen un mayor riesgo de morbilidad y mortalidad cardiovascular. Los efectos de la terapia hormonal de la menopausia (THM) en la progresión de la aterosclerosis y los eventos de enfermedad cardiovascular (ECV) varían según la edad en que se inicia la THM y el tiempo transcurrido desde la menopausia hasta su inicio. Se han observado efectos beneficiosos en los resultados de ECV y la mortalidad por todas las causas cuando la THM se inició antes de los 60 años o dentro de los 10 años posteriores a la menopausia. La decisión sobre la iniciación, dosis, régimen y duración de la THM debe tomarse individualmente después de discutir los beneficios y riesgos con cada paciente. Para la prevención primaria de condiciones crónicas en la posmenopausia, no se recomienda el uso combinado de estrógeno y progestágeno en mujeres asintomáticas, ni el uso de estrógeno solo en mujeres histerectomizadas. Las neoplasias dependientes de hormonas contraindican la THM. Para el tratamiento del síndrome genitourinario de la menopausia, se puede usar terapia estrogénica vaginal en pacientes con factores de riesgo cardiovascular conocidos o ECV establecida. Para mujeres con contraindicaciones a la THM o que la rechazan, las terapias no hormonales con eficacia demostrada (antidepresivos, gabapentina y fezolinetant) pueden mejorar los síntomas vasomotores. Los implantes hormonales compuestos, o hormonas "bioidénticas" y "compuestas", y la "modulación hormonal" no se recomiendan debido a la falta de evidencia científica sobre su efectividad y seguridad.As mulheres, que representam cerca de metade da população mundial segundo estimativas de janeiro de 2024, podem sofrer com sinais e sintomas da menopausa durante pelo menos um terço de suas vidas, quando apresentam maiores risco e morbimortalidade cardiovasculares. Os efeitos da terapia hormonal da menopausa (THM) na progressão de eventos de aterosclerose e doença cardiovascular (DCV) variam de acordo com a idade em que a THM é iniciada e o tempo desde a menopausa até esse início. Efeitos benéficos nos resultados de DCV e na mortalidade por todas as causas ocorreram quando a THM foi iniciada antes dos 60 anos de idade ou nos 10 anos que se seguiram à menopausa. A decisão sobre o início, a dose, o regime e a duração da THM deve ser tomada individualmente após discussão sobre benefícios e riscos com cada paciente. Para a prevenção primária de condições crônicas na pós-menopausa, não se recomendam o uso combinado de estrogênio e progestagênio em mulheres assintomáticas nem o uso de estrogênio sozinho em mulheres histerectomizadas. Neoplasias hormônio-dependentes contraindicam a THM. Para tratamento da síndrome geniturinária da menopausa, pode-se utilizar terapia estrogênica por via vaginal em pacientes com fatores de risco cardiovascular conhecidos ou DCV estabelecida. Para mulheres com contraindicação à THM ou que a recusam, terapias não hormonais com eficácia comprovada (antidepressivos, gabapentina e fezolinetante) podem melhorar os sintomas vasomotores. Os implantes hormonais manipulados, ou hormônios “bioidênticos” “manipulados”, e a ‘modulação hormonal’ não são recomendados pela falta de evidência científica de sua eficácia e segurança

    Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

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    Background Underweight and obesity are associated with adverse health outcomes throughout the life course. We estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from 1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories. Methods We used data from 3663 population-based studies with 222 million participants that measured height and weight in representative samples of the general population. We used a Bayesian hierarchical model to estimate trends in the prevalence of different BMI categories, separately for adults (age ≥20 years) and school-aged children and adolescents (age 5–19 years), from 1990 to 2022 for 200 countries and territories. For adults, we report the individual and combined prevalence of underweight (BMI <18·5 kg/m2) and obesity (BMI ≥30 kg/m2). For schoolaged children and adolescents, we report thinness (BMI <2 SD below the median of the WHO growth reference) and obesity (BMI >2 SD above the median). Findings From 1990 to 2022, the combined prevalence of underweight and obesity in adults decreased in 11 countries (6%) for women and 17 (9%) for men with a posterior probability of at least 0·80 that the observed changes were true decreases. The combined prevalence increased in 162 countries (81%) for women and 140 countries (70%) for men with a posterior probability of at least 0·80. In 2022, the combined prevalence of underweight and obesity was highest in island nations in the Caribbean and Polynesia and Micronesia, and countries in the Middle East and north Africa. Obesity prevalence was higher than underweight with posterior probability of at least 0·80 in 177 countries (89%) for women and 145 (73%) for men in 2022, whereas the converse was true in 16 countries (8%) for women, and 39 (20%) for men. From 1990 to 2022, the combined prevalence of thinness and obesity decreased among girls in five countries (3%) and among boys in 15 countries (8%) with a posterior probability of at least 0·80, and increased among girls in 140 countries (70%) and boys in 137 countries (69%) with a posterior probability of at least 0·80. The countries with highest combined prevalence of thinness and obesity in school-aged children and adolescents in 2022 were in Polynesia and Micronesia and the Caribbean for both sexes, and Chile and Qatar for boys. Combined prevalence was also high in some countries in south Asia, such as India and Pakistan, where thinness remained prevalent despite having declined. In 2022, obesity in school-aged children and adolescents was more prevalent than thinness with a posterior probability of at least 0·80 among girls in 133 countries (67%) and boys in 125 countries (63%), whereas the converse was true in 35 countries (18%) and 42 countries (21%), respectively. In almost all countries for both adults and school-aged children and adolescents, the increases in double burden were driven by increases in obesity, and decreases in double burden by declining underweight or thinness. Interpretation The combined burden of underweight and obesity has increased in most countries, driven by an increase in obesity, while underweight and thinness remain prevalent in south Asia and parts of Africa. A healthy nutrition transition that enhances access to nutritious foods is needed to address the remaining burden of underweight while curbing and reversing the increase in obesit

    Uma utopia brasileira: Vargas e a construção do estado de bem-estar numa sociedade estruturalmente desigual

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    Pervasive gaps in Amazonian ecological research

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    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost

    Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

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    The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

    Pervasive gaps in Amazonian ecological research

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    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost
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