ASSOCIAÇÃO DE GRAVIDEZ NA ADOLESCÊNCIA E PREMATURIDADE

This article aims to scan the current medical literature on the relationship between teenage pregnancy and prematurity. With the purpose of achieving answers to the following question: “What are the associated factors of teenage pregnancy and prematurity of newborns?”, It was carried out through consultations in indexed databases, with the crossing of the descriptors in Portuguese “Pregnancy ”, “adolescents”, “Premature Newborn” and “factors”, using the Boolean operator “AND”. To compose the review, 10 articles were analyzed. It is concluded that neonatal prematurity is associated with a multifactorial process that involves both biological and sociodemographic factors, highlighting biological immaturity as a significant component. Young gynecological age, defined as conception within the first two years after menarche, and the risk of becoming pregnant before completing adequate physical and biological development. These elements combined contribute to the complexity of the phenomenon of neonatal prematurity.Este artigo tem por objetivo realizar uma varredura da literatura médica vigente sobre a relação entre a gravidez na adolescência e a prematuridade. Com a finalidade de alcançar respostas ao seguinte questionamento: “Quais são os fatores associados da gestação na adolescência e prematuridade dos recém-nascidos? ”, foi realizada por meio de consultas nas bases de dados indexadas, com o cruzamento dos descritores em português “Gravidez”, “adolescentes”, “Recém-Nascido Prematuro” e “fatores”, através do operador booleano “AND”.  Para compor a revisão  foram analisados 10 artigos. Conclui-se que a prematuridade neonatal está associada a um processo multifatorial que envolve tanto fatores biológicos quanto sociodemográficos, destacando-se a imaturidade biológica como um componente significativo. A idade ginecológica jovem, definida como a concepção nos dois primeiros anos após a menarca, e o risco de engravidar antes de completar o desenvolvimento físico e biológico adequado. Esses elementos combinados contribuem para a complexidade do fenômeno da prematuridade neonatal

CENÁRIO EPIDEMIOLÓGICO DA MORTALIDADE POR NEOPLASIAS MALIGNAS DE MAMA NO BRASIL PERÍODO DE 2019 A 2023

Breast cancer is characterized by the abnormal, rapid and disordered proliferation of breast tissue cells. The disease develops as a result of genetic changes. In its normal functioning, the body replaced old cells with new, healthy cells. Objective: To investigate the clinical and epidemiological scenario of mortality from breast neoplasms between the years 2019 and 2023. Methodology: This is an epidemiological study, of descriptive character with information obtained through the Hospital Admissions System by the Department of Informatics of the Unified Health System (DATASUS), analyzing the epidemiological scenario of mortality due to malignant breast neoplasms in Brazil, in a time frame from 2019 to 2023, filtered according to the International Classification of Diseases and Related Health Problems (ICD-10), the code used was Malignant breast neoplasms. Data on deaths due to malignant breast neoplasms were analyzed in Brazil, which presented a number of 29,820 deaths. Results and Discussion: Data on mortality from malignant breast neoplasms between 2019 and 2023 were analyzed, where it was possible to estimate 2.1 million new cases of cancer and 627 thousand deaths from the disease. The year 2022 presented the highest death rate with a number of 6,246, among the age groups analyzed the highest rates are between 40 and 69 years old with a higher percentage among the white race. The southeast region leads the ranking with 16,351 deaths. Conclusion: It is understood that some factors may be directly associated with the high number of deaths from malignant neoplasms caused by breast cancer, such as age group. Investment in health education is necessary to inform society about the importance of breast cancer care and screening. Screening strategies will help reduce cases of neoplasms and act to reduce the number of deaths, thus ensuring early diagnosis. .O câncer de mama se caracteriza pela proliferação anormal de forma rápida e desordenada das células do tecido mamário. A doença se desenvolve em decorrência de alterações genéticas. Em seu funcionamento normal, o corpo substituiu as células antigas por células novas e saudáveis.Objetivo:Investigar o cenário clínico e epidemiológico da mortalidade por neoplasias de mama entre os anos de 2019 a 2023.Metodologia: Trata-se de um estudo epidemiológico, de caráter descritivo com informações obtidas por meio do Sistema de Internações Hospitalares pelo Departamento de Informática do Sistema Único de Saúde (DATASUS), analisando o cenário epidemiológico da mortalidade por neoplasias de malignas de mama no Brasil, em um recorte temporal de 2019 a 2023, filtrado pela Classificação Internacional de Doenças e Problemas Relacionados à Saúde (CID-10), o código utilizado foi Neoplasias malignas de mama. Foram analisados dados de óbitos por neoplasias malignas de mama, no brasil onde apresentou um quantitativo de  29.820 de óbitos. Resultados e Discussão: Foram analisados dados da mortalidade por neoplasias malignas de mama entre 2019 a 2023 onde foi possível  estimar 2,1 milhões de casos novos de câncer e 627 mil óbitos pela doença. O ano de 2022 apresentou o maior índice de óbitos com um número de 6.246, entre as faixas etárias analisadas os maiores índices estão entre 40 a 69 anos com maior percentual entre a raça branca.  A  região  sudeste lidera o ranking com 16.351 óbitos. Conclusão: Compreende-se que alguns fatores podem estar diretamente associado aos elevados números de óbitos por neoplasias malignas de câncer de mama, como faixa etária. É  necessário investimento na educação em saúde visando informar a sociedade a importância de cuidado e rastreamento ao câncer de mama, as estratégias de rastreamento irão ajudar a reduzir os casos de neoplasias e atuar na  diminuição dos números de óbitos, garantindo assim, diagnóstico de forma precoce

HOSPITALIZAÇÕES POR NEOPLASIA MALIGNA DO COLO DO ÚTERO NA REGIÃO NORDESTE

The present study aimed to describe the epidemiological profile of hospitalizations for cervical cancer neoplasms in the Northeast region between 2018 and 2023. This is a descriptive study carried out using data on the annual frequencies of hospitalizations found in the SIH/ DATASUS, according to place of residence, from 2008, with Morbidity List (ICD -10): Malignant neoplasms of the cervix. The variables selected for the study were year of processing, ethnicity, gender and age group. According to the analysis, there were 31,953 hospitalizations for malignant neoplasia of the cervix in the Northeast region, with prevalence in the year 2022, mixed-race women and those aged 40 to 49 years. Furthermore, research plays a fundamental role in generating new data, highlighting the crucial need to develop additional prevention and detection strategies to reduce the rate of hospitalizations for cervical malignancies in the Northeast region.O presente  estudo  teve  como  objetivo  descrever  o  perfil  epidemiológico  das  internações  por neoplasias de câncer de colo de útero na região Nordeste entre 2018 e 2023. Trata-se de um estudo descritivo realizado por meio de dados sobre as frequências anuais de hospitalizações obtidos no SIH/DATASUS, de acordo com local de residência, a partir de 2008, com Lista de morbidade (CID -10): Neoplasias malignas de colo de útero. As variáveis selecionadas para o estudo foram ano de processamento, etnia, sexo e faixa etária. De acordo com a análise, nota-se um número de 31.953  hospitalizações por Neoplasia maligna do colo do útero na região Nordeste, com prevalência no ano de 2022, mulheres pardas e na faixa etária de 40 a 49 anos. Ademais, a pesquisa desempenha um papel fundamental na geração de novos dados, destacando a necessidade crucial de desenvolver estratégias adicionais de prevenção e detecção para diminuir a taxa de hospitalizações por neoplasias malignas de colo de útero na região Nordeste

SUPLEMENTAÇÃO DE CÁLCIO NA PREVENÇÃO DOS DISTÚRBIOS HIPERTENSIVOS DA GESTAÇÃO: REVISÃO INTEGRATIVA

This article aims to highlight calcium supplementation in the prevention of gestational hypertensive disorders. This is an integrative review, using the databases indexed in the Virtual Health Library (VHL): MEDLINE, SciELO, BDENF-Enfermagem and LILACS, using the descriptors: “Calcium supplementation”, “prevention”, “disorders hypertensive disorders during pregnancy” and “gestational hypertension”, in order to answer the question “What is the relevance of calcium supplementation in the prevention of gestational hypertensive disorders?”. As a result, calcium supplementation during pregnancy has shown promise for implementation in prenatal care protocols in view of the vulnerable population with low calcium nutritional intake, thus seeking to promote the prevention of hypertensive disorders in the perinatal period. . Concluding that through literature that supplementation in a guided manner and accompanied by trained health professionals, age reduces maternal gestational hypertension and, consequently, the risk of pre-eclampsia, in women with low previous calcium deficiency. However, although calcium supplementation appears to reduce blood pressure directly, it does not prevent endothelial damage associated with preeclampsia.Este artigo tem por visa evidenciar a suplementação de cálcio na prevenção dos distúrbios hipertensivos gestacional. Trata-se de uma revisão integrativa, foram utilizadas as bases de dados indexadas na Biblioteca Virtual em Saúde (BVS): MEDLINE, SciELO, BDENF-Enfermagem e LILACS, através dos descritores: “Suplementação de cálcio”, “prevenção”, “distúrbios hipertensivos na gravidez” e “hipertensão gestacional”, afim de alcançar a respota do questionamento” Qual a relevância da suplementação do cálcio na prevenção de distúrbios hipertensivos gestacional?”. Resultando em que a suplemntação de cálcio na gestacação vem mostrando-se promissor para a implementação em protocolos de atenção ao pré-natal tendo em vista a população vulnerável com baixa ingesta de nutricional de cálcio, buscando assim promover a prevenção de distúrbios hipertensivos no período perinatal. Concluindo que mediante a literatura que a suplementação de forma orientada e acompanhada por profissionais de saúde capacitados age reduzindo hipertensão gestacional materna e, consequentemente, o risco de pré-eclâmpsia, em mulheres com baixa ingestão de cálcio prévia. Entretanto, apesar de a suplementação de cálcio parecer reduzir a pressão sanguínea diretamente, não impede a lesão endotelial associada à pré-eclâmpsia

ACRETISMO PLACENTÁRIO E SUAS COMPLICAÇÕES: REVISÃO INTEGRATIVA

This article aims to scan the literature in health sciences in order to highlight the complications related to placental accreta. Databases indexed in the VHL were used: MEDLINE, SciELO, BDENF-Enfermagem and LILACS, using descriptors from the DeCS: “pregnancy complications”, “placenta previa”, “uterine hemorrhage” and “maternal mortality”, with the help of the Boolean operator “AND”. It is concluded that the expertise of the pregnant care team is necessary, aiming for early diagnosis and careful management that can help reduce the impact of complications associated with AP for both the mother and the baby.Este artigo tem por objetivo realizar uma varredura da literatura em ciências da saúde visando evidenciar as complicações relacionadas ao acretismo placentário. Foram utilizadas a bases de dados indexadas na BVS: MEDLINE, SciELO, BDENF-Enfermagem e LILACS, através do uso de descritores provenientes do DeCS: “complicações na Gravidez”, “placenta prévia”, “hemorragia uterina” e “mortalidade materna”, com o auxílio do operador booleano “AND”. Conclui-se que é necessário a expertise da equipe de assistência a gestante visando o diagnóstico precoce e o manejo cuidadoso que pode ajudar a reduzir o impacto das complicações associadas ao AP tanto para a mãe quanto para o bebê

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

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 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

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 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