171 research outputs found
Anastomose esofagogástrica cervical em dois tempos: 5 anos de experiência do Hospital de Clínicas de Porto Alegre
OBJECTIVE: Cervical esophagogastric anastomosis (CEA) is a common procedure used to restore the continuity of the digestive tract following curative or palliative surgery for esophageal cancer. At the HCPA, we carry out CEA procedures in two steps: first, we carry out a lateral cervical esophagostomy and position the esophageal substitute in the neck; second, after one week, the esophageal remnant is sutured to the esophageal substitute. The choice of esophageal substitute is made according to gastric pull-up (GP) or greater curvature gastric tube (GCGT), depending on the possibility of resection of the lesion. The objective of this paper is to describe the early results (up to 30 days) of delayed cervical esophagogastric anastomosis after resection or esophageal bypass procedures due to esophageal neoplasia.
MATERIAL AND METHODS: Fifty-nine patients fulfilled the criteria for inclusion in our study, out of which there were 49 male and 55 white patients; the age average was of 51.5 years. Twenty-two patients were submitted to gastric pull-up. The risk factors for postoperative complications were similar for both groups. Tumor staging was the only difference between the two groups in preoperative examination; this difference was expected according to the criteria used for choosing the procedure.
RESULTS: Seven patients (31.8%) of the GP group and in 9 patients (34.3%) from the GCGT group (RR 1.3; CI 95%: 0.5-3.0, P = 0.54) presented leakage. Two patients (9.1%) from the GP group and 1 (2.7%) from the GCGT group died (RR 3.4; CI 95%: 0.3-34.9, P = 0.54). One patient (4.5%) from the GP group and 7 (18.9%) patients from the GCGT group (RR 0.2; CI 95%: 0.1-1.8, P = 0.23) presented infections. There were no differences between the groups regarding occurrence of leakage, short-term postoperative death (until 30 days after surgery), and infections.
CONCLUSIONS: Our results are similar to those of other services of reference for the treatment of esophageal cancer. In this study, we did not find any differences between the GP and GCGT groups regarding short-term postoperative complications.OBJETIVO: A anastomose esofagogástrica cervical é um procedimento utilizado para restaurar a continuidade do trato digestivo após cirurgias curativas ou paliativas para o câncer esofágico. O Grupo de Cirurgia do Esôfago, Estômago e Intestino Delgado do Hospital de Clínicas de Porto Alegre realiza o procedimento em 2 tempos cirúrgicos. No primeiro tempo, realiza-se uma esofagostomia cervical lateral e posiciona-se o substituto esofágico no pescoço. O segundo tempo é realizado uma semana após, com a sutura do esôfago remanescente no substituto elevado ao pescoço. Este substituto é escolhido entre os procedimentos de levantamento gástrico (LG) e tubo gástrico de grande curvatura (TGC), conforme a possibilidade ou não de ressecção da lesão esofágica. O objetivo do presente trabalho é de descrever os resultados precoces (até 30 dias) obtidos com a realização de anastomose esôfago-gástrica cervical retardada (postergada) após procedimento cirúrgico de ressecção ou bypass esofágico por neoplasia de esôfago.
MATERIAIS E MÉTODOS: Cinqüenta e nove pacientes preencheram os critérios de inclusão, sendo 49 homens, 55 brancos, com uma média de idade de 51,5 anos. Vinte e dois pacientes realizaram cirurgia de levantamento gástrico. Os fatores de risco conhecidos para complicações pós-operatórias foram similares entre os dois grupos. A única diferença entre os grupos na avaliação pré-operatória foi o estágio do tumor, o que era esperado, tendo em vista os critérios usados para a escolha do procedimento.
RESULTADOS: A fístula cervical foi detectada em sete pacientes (31,8%) do grupo LG e em nove pacientes (34,3%) do grupo TGC (RR 1,3; IC 95%: 0,5-3,0, P = 0.54). Dois pacientes (9,1%) do grupo LG e um paciente (2,7%) do grupo TGC foram a óbito (RR 3,4; IC 95%: 0,3-34,9, P = 0,54). As complicações infecciosas ocorreram em um paciente (4,5%) do grupo LG e 7 pacientes (18,9%) do grupo TGC (RR 0,2; IC 95%: 0,1-1,8, P = 0,23). Não houve diferenças entre os grupos, levando em conta a ocorrência de fístula cervical no pós-operatório, mortalidade hospitalar precoce (30 dias após a cirurgia) e infecções.
CONCLUSÕES: Os dados apresentados nesta série são semelhantes a outros serviços de referência para o tratamento do câncer de esôfago, e nessa série não houve diferença entre os LG e TGC em relação às complicações no pós-operatório precoce
Fenologia e acúmulo térmico em videiras viníferas na região da Fronteira Oeste do Rio Grande do Sul
Resumo: O objetivo deste trabalho foi avaliar a exigência térmica, obtida por diferentes métodos de cálculo, para caracterizar a fenologia das videiras (Vitis vinifera) 'Cabernet Sauvignon', 'Tannat', 'Ruby Cabernet' e 'Merlot', cultivadas na Fronteira Oeste do Rio Grande do Sul. O desenvolvimento fenológico foi acompanhado durante cinco safras - 2005/2006 a 2009/2010. As temperaturas mínimas e máximas do ar foram coletadas diariamente e foram testados oito métodos de soma térmica: M1.1, M1.2 e M1.3, que utilizaram somente a temperatura base inferior (10°C); M2.1 e M2.2, que consideraram também a temperatura ótima de desenvolvimento de 25°C; e M3.1, M3.2 e M3.3 que, além das anteriores, utilizaram 35°C como temperatura base superior do desenvolvimento. Estes métodos foram comparados pelo erro-padrão das estimativas de soma térmica. O teste SNK foi utilizado para a comparação da exigência térmica entre as cultivares. O método M3.3 foi o que melhor simulou o desenvolvimento em 'Tannat' e 'Merlot' (1.823,1 e 1.780,8 graus-dia respectivamente). No entanto, o menor desvio foi obtido em 'Cabernet Sauvignon' e 'Ruby Cabernet', pelo método M3.1 (1.958,9 e 1.944,8 graus-dia respectivamente). Os métodos que empregaram as três temperaturas cardinais apresentaram maior precisão. 'Tannat' e 'Merlot' são as cultivares de videira que apresentam a menor exigência térmica para completar o ciclo
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
Les droits disciplinaires des fonctions publiques : « unification », « harmonisation » ou « distanciation ». A propos de la loi du 26 avril 2016 relative à la déontologie et aux droits et obligations des fonctionnaires
The production of tt‾ , W+bb‾ and W+cc‾ is studied in the forward region of proton–proton collisions collected at a centre-of-mass energy of 8 TeV by the LHCb experiment, corresponding to an integrated luminosity of 1.98±0.02 fb−1 . The W bosons are reconstructed in the decays W→ℓν , where ℓ denotes muon or electron, while the b and c quarks are reconstructed as jets. All measured cross-sections are in agreement with next-to-leading-order Standard Model predictions.The production of , and is studied in the forward region of proton-proton collisions collected at a centre-of-mass energy of 8 TeV by the LHCb experiment, corresponding to an integrated luminosity of 1.98 0.02 \mbox{fb}^{-1}. The bosons are reconstructed in the decays , where denotes muon or electron, while the and quarks are reconstructed as jets. All measured cross-sections are in agreement with next-to-leading-order Standard Model predictions
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
Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
BACKGROUND: Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021. METHODS: We estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined. FINDINGS: Globally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378–521), affecting 3·40 billion (3·20–3·62) individuals (43·1%, 40·5–45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7–26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6–38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5–32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7–2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer. INTERPRETATION: As the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed
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
The complete genome sequence of Chromobacterium violaceum reveals remarkable and exploitable bacterial adaptability
Chromobacterium violaceum is one of millions of species of free-living microorganisms that populate the soil and water in the extant areas of tropical biodiversity around the world. Its complete genome sequence reveals (i) extensive alternative pathways for energy generation, (ii) ≈500 ORFs for transport-related proteins, (iii) complex and extensive systems for stress adaptation and motility, and (iv) wide-spread utilization of quorum sensing for control of inducible systems, all of which underpin the versatility and adaptability of the organism. The genome also contains extensive but incomplete arrays of ORFs coding for proteins associated with mammalian pathogenicity, possibly involved in the occasional but often fatal cases of human C. violaceum infection. There is, in addition, a series of previously unknown but important enzymes and secondary metabolites including paraquat-inducible proteins, drug and heavy-metal-resistance proteins, multiple chitinases, and proteins for the detoxification of xenobiotics that may have biotechnological applications
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