Mutirão de adenoamigdalectomia em hospital público universitário / Adenotonsillectomy the of joint aid effort in a public University Hospital

Introdução: O aumento das tonsilas comum na infância pode causar problemas graves e comprometer o desenvolvimento infantil. Objetivo: Descrever os resultados obtidos durante o 1ª mutirão de cirurgias de amígdalas e adenóide realizada na cidade de Goiânia. Material e métodos: Estudo descritivo. Durante o evento foram operados 30 pacientes hígidos, com resultados de exames normais no período de 01 a 05 de dezembro de 2008. Os pacientes foram selecionados e contactados por telefone, mediante lista de espera existente no serviço de otorrinolaringologia do hospital. Diariamente foram realizadas seis cirurgias sem interrupção das atividades cotidianas desenvolvidas pelo serviço. Resultados: Do total de cirurgiados, 25 pacientes foram submetidos a adenoamigdalectomia, 3 à amigdalectomia e 2 à adenoidectomia. Conclusão: Este tipo de iniciativa produz um grande impacto, pois atinge uma grande massa da população carente, que necessita de uma intervenção cujos custos financeiros não lhes permitem o acesso. Esta atividade foi um benefício para muitos, tão esperado

Linfohemangioma faringolaríngeo como diagnóstico diferencial de cisto supraglótico / Pharyngolaryngeal lymphohemangioma as a differential diagnosis of supraglottic cyst

Os linfohemangiomas são lesões linfoepiteliais benignas, transespaciais e raras, com apresentação clínica variável, podendo ser assintomatica, passando por abaulamento cervical/laringeo, podendo causas comprometimento de via área superior e risco de morte. Devem ser elencados no diagnóstico diferecial das lesões cisticas da laringe. Relatamos caso de criança erroneamente diagnosticada como portadora de cistica de laringe. Relatamos seguimento de seis anos com base em parâmetros clínicos, endoscópicos e radiológicos

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

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

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

Complicações em testes para COVID-19 com swab nasal: relatos de caso

Background: We are currently facing a pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which is a single-stranded RNA virus belonging to the coronavirus family. The most widely used method to confirm the diagnosis of SARSCoV-2 infection is through molecular tests using rRT-PCR (real-time reverse transcription polymerase chain reaction) to detect viral RNA. The usual way to collect viral samples is through nasopharyngeal swabs. One of the effective ways to control the transmission of this disease is the early diagnosis and isolation of infected patients. In this report, we will approach two cases of complications with nasal swabs in the collection of rRT-PCR for COVID-19, treated in an otolaryngology emergency room. Case Report: The first was from a patient who had the swab rod broken in her left nasal cavity, requiring removal of the foreign body through nasoendoscopy. While the second was from a patient who had severe epistaxis due to trauma of the spur swab in the left nasal septum, requiring an approach in the surgery center. Conclusion: It is important to emphasize that, even subject to possibly serious complications, the performance of RT-PCR tests with a nasal swab is the gold standard in the diagnosis of COVID-19. It is very important to enhance that the trained professional, when suspecting an accident during the exam, should, early on, request an evaluation from the competent specialist for an adequate approach.Introdução: Atualmente, estamos enfrentando uma pandemia causada pela síndrome respiratória aguda grave coronavirus 2 (SARS-CoV-2) que é um vírus de RNA de uma única cadeia pertencente à família de coronavírus. O método mais utilizado para confirmar o diagnóstico da infecção pelo SARSCoV-2 é através de testes moleculares usando rRT-PCR (reações em cadeia de transcrição reversa em tempo real polimerase) para detectar o RNA viral. A maneira usual de colher amostras virais é através de cotonetes nasofaríngeos. Uma das formas efetivas de controlar a transmissão dessa doença é o diagnóstico precoce e isolamento dos pacientes infectados. Nesse relato abordaremos dois casos de complicações com swab nasal na coleta de rRT-PCR para COVID-19, atendidos em um pronto socorro de otorrinolaringologia. Relato de caso: O primeiro foi de uma paciente que teve a haste do cotonete quebrada em sua fossa nasal esquerda, necessitando de remoção do corpo estranho com por nasoendoscopia. Enquanto o segundo foi de uma paciente que apresentou epistaxe grave devido trauma do cotonete em esporão no septo nasal esquerdo, necessitando de abordagem em centro cirúrgico. Conclusão: É importante ressaltar que mesmo sujeito a complicações possivelmente graves, a realização de testes RT-PCR com cotonete nasal é o padrão ouro no diagnóstico de COVID-19. É muito importante advertir que o profissional treinado ao suspeitar de algum acidente durante o exame deve, precocemente, solicitar avaliação do especialista competente para abordagem adequada