Emergências hiperglicêmicas - aspectos epidemiológicos, fisiopatológicos e manejo terapêutico: Hyperglycemic emergencies - epidemiological, physiopathological aspects and therapeutic management

Diabetes mellitus (DM) corresponde a uma doença metabólica na qual há produção inadequada de insulina ou resistência periférica a este hormônio, correspondendo tais definições à DM do tipo 1 e 2, respectivamente. A doença apresenta alta prevalência e incidência em todo o mundo e pode levar à inúmeras complicações, tanto agudas quanto crônicas; nesse sentido, a cetoacidose diabética (CAD) e o estado hiperosmolar hiperglicêmico (EHH) correspondem às principais complicações agudas da doença; requerem diagnóstico e tratamento imediato devido à gravidade do quadro gerado pelas mesmas. Ademais, ambas as complicações são denominadas de emergências hiperglicêmicas, justamente por seus sinais e sintomas acontecerem na vigência de uma glicemia elevada em um paciente diabético. Outrossim, são diversas as causas da CAD e do EHH; no entanto, as principais causas estabelecidas pela literatura são a presença de infecções e o uso inadequado de insulina em pacientes portadores de DM. Além disso, o manejo adequado do paciente nestas circunstâncias envolve a administração precoce de fluidos intravenosos, terapia com insulina, reposição de eletrólitos e reconhecimento e tratamento das causas precipitantes. Contudo, a despeito da existências de inúmeros protocolos envolvidos no diagnóstico e tratamento da CAD e do EHH, pouco se tem feito na prevenção destas complicações; dessa forma, urge a necessidade de melhor esclarecer pacientes diabéticos a respeito de sua doença e suas prováveis complicações, bem como alertá-los sobre possíveis sinais de alerta, para que possam buscar assistência o mais precoce possível, diminuindo a probabilidade de desfechos negativos

Sifilis em pacientes sem HIV: revisão de literature / Syphilis in HIV-free patients: A review of the literature

Introdução: As manifestações clínicas dependem do estágio da doença. O T. pallidum pode iniciar a infecção onde quer que ocorra a inoculação. A sífilis é geralmente dividida em fases iniciais ou precoce e tardias. Objetivos: O objetivo desse estudo é revisar sobre o manejo da sífilis em pacientes sem HIV, compreendendo epidemiologia, fisiopatologia, manifestações clinicas, diagnóstico e tratamento. Métodos: Os bancos de dados Pubmed, Diretrizes e UpToDate foram pesquisados eletronicamente utilizando os descritores doenças sexualmente transmissíveis; infecções por treponema; sífilis congênita e treponema pallidum nos idiomas inglês e português. Discussão e Conclusão: Pacientes com sinais e sintomas compatíveis com sífilis devem ser submetidos a testes sorológicos para confirmar o diagnóstico. No entanto, alguns pacientes podem ser tratados empiricamente com base nos achados clínicos (por exemplo, pacientes com suspeita de câncer e exposição conhecida). A penicilina G administrada por via parenteral é o tratamento de escolha para todos os estágios da sífilis

Retalho do M. Peitoral para reconstrução de face/ Pectoral muscle flap for facial reconstruction

Objetivo: Descrever relato de caso de uma paciente que foi encaminhada para atendimento secundário com diagnostico de CEC em face, onde tratamento cirúrgico foi realizado com reconstrução através de retalho do musculo peitoral. Além disso, revisar na literatura sobre essa forma de reconstrução de face. Métodos: As informações foram obtidas por meio de revisão do prontuário, entrevista com o paciente, registro fotográfico do procedimento cirúrgico ao qual o paciente foi submetido e revisão da literatura. Detalhamentos de Caso: Relato de caso de um paciente do sexo feminino, 53 anos, com CEC de mucosa jugal que foi submetida a pelviglossomandibulectomia + maxilectomia parcial direita em bloco com esvaziamento cervical direito + reconstrução com retalho miocutâneo. Conclusão/Considerações finais: O caso relatado e as publicações levantadas trazem discussões sobre a importância do retalho do musculo peitoral maior como importante estratégia de reconstrução pós ressecção oncológica de doenças oncológicas de cabeça e pescoço. Esse tipo de retalho, embora apresente risco de complicações, ainda assim se apresenta como principal forma de retalho utilizado

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

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora

Thrombotic and hemorrhagic complications of COVID-19 in adults hospitalized in high-income countries compared with those in adults hospitalized in low- and middle-income countries in an international registry

Background: COVID-19 has been associated with a broad range of thromboembolic, ischemic, and hemorrhagic complications (coagulopathy complications). Most studies have focused on patients with severe disease from high-income countries (HICs). Objectives: The main aims were to compare the frequency of coagulopathy complications in developing countries (low- and middle-income countries [LMICs]) with those in HICs, delineate the frequency across a range of treatment levels, and determine associations with in-hospital mortality. Methods: Adult patients enrolled in an observational, multinational registry, the International Severe Acute Respiratory and Emerging Infections COVID-19 study, between January 1, 2020, and September 15, 2021, met inclusion criteria, including admission to a hospital for laboratory-confirmed, acute COVID-19 and data on complications and survival. The advanced-treatment cohort received care, such as admission to the intensive care unit, mechanical ventilation, or inotropes or vasopressors; the basic-treatment cohort did not receive any of these interventions. Results: The study population included 495,682 patients from 52 countries, with 63% from LMICs and 85% in the basic treatment cohort. The frequency of coagulopathy complications was higher in HICs (0.76%-3.4%) than in LMICs (0.09%-1.22%). Complications were more frequent in the advanced-treatment cohort than in the basic-treatment cohort. Coagulopathy complications were associated with increased in-hospital mortality (odds ratio, 1.58; 95% CI, 1.52-1.64). The increased mortality associated with these complications was higher in LMICs (58.5%) than in HICs (35.4%). After controlling for coagulopathy complications, treatment intensity, and multiple other factors, the mortality was higher among patients in LMICs than among patients in HICs (odds ratio, 1.45; 95% CI, 1.39-1.51). Conclusion: In a large, international registry of patients hospitalized for COVID-19, coagulopathy complications were more frequent in HICs than in LMICs (developing countries). Increased mortality associated with coagulopathy complications was of a greater magnitude among patients in LMICs. Additional research is needed regarding timely diagnosis of and intervention for coagulation derangements associated with COVID-19, particularly for limited-resource settings

Association of Country Income Level With the Characteristics and Outcomes of Critically Ill Patients Hospitalized With Acute Kidney Injury and COVID-19

Introduction: Acute kidney injury (AKI) has been identified as one of the most common and significant problems in hospitalized patients with COVID-19. However, studies examining the relationship between COVID-19 and AKI in low- and low-middle income countries (LLMIC) are lacking. Given that AKI is known to carry a higher mortality rate in these countries, it is important to understand differences in this population. Methods: This prospective, observational study examines the AKI incidence and characteristics of 32,210 patients with COVID-19 from 49 countries across all income levels who were admitted to an intensive care unit during their hospital stay. Results: Among patients with COVID-19 admitted to the intensive care unit, AKI incidence was highest in patients in LLMIC, followed by patients in upper-middle income countries (UMIC) and high-income countries (HIC) (53%, 38%, and 30%, respectively), whereas dialysis rates were lowest among patients with AKI from LLMIC and highest among those from HIC (27% vs. 45%). Patients with AKI in LLMIC had the largest proportion of community-acquired AKI (CA-AKI) and highest rate of in-hospital death (79% vs. 54% in HIC and 66% in UMIC). The association between AKI, being from LLMIC and in-hospital death persisted even after adjusting for disease severity. Conclusions: AKI is a particularly devastating complication of COVID-19 among patients from poorer nations where the gaps in accessibility and quality of healthcare delivery have a major impact on patient outcomes