Bronchopulmonary dysplasia

OBJECTIVE: To present a wide-ranging review of the literature on bronchopulmonary dysplasia, covering new definitions, pathophysiology, prevention, treatment, prognosis and progression. SOURCES OF DATA: The most relevant articles published on the subject since it was first described in 1967 were selected from MEDLINE search results. SUMMARY OF THE FINDINGS: Bronchopulmonary dysplasia is considered one of the primary causes of chronic lung disease among infants. It is associated with frequent and prolonged hospital admissions, in particular for pulmonary diseases, with high rates of mortality and alterations to neuropsychomotor development and pondero-statural growth. Pathogenesis is complex, being primarily influenced by prematurity, infection, supplementary oxygen and mechanical ventilation. Prevention involves appropriate prenatal care, the prevention of premature delivery, prenatal corticosteroids, surfactant replacement therapy and protective ventilatory strategies. Treatment of bronchopulmonary dysplasia patients demands a multidisciplinary team. When indicated, oxygen supplementation is extremely important. Despite increased risk of morbidity and mortality during the first years of life, long term progress is favorable in the majority of cases. CONCLUSIONS: Bronchopulmonary dysplasia has been and continues to be studied in great depth with the objective of identifying its causes and possible prevention and treatment strategies. Controversies remain with respect of these issues and also about the prognosis of these patients, in particular when the subject is long-term progress of new bronchopulmonary dysplasia patients.OBJETIVO: Apresentar uma ampla revisão da literatura sobre displasia broncopulmonar, abordando novas definições, fisiopatologia, prevenção, tratamento, prognóstico e evolução. FONTE DOS DADOS: Foram selecionados os artigos mais relevantes sobre o tema, desde a sua descrição inicial, em 1967, pesquisados na MEDLINE. SÍNTESE DOS DADOS: A displasia broncopulmonar é considerada uma das principais causas de doença pulmonar crônica em lactentes. Está associada a hospitalizações freqüentes e prolongadas, especialmente por doenças pulmonares, altos índices de mortalidade e alterações no desenvolvimento neuropsicomotor e no crescimento pôndero-estatural. A patogênese é complexa e influenciada principalmente por prematuridade, infecção, oxigênio suplementar e ventilação mecânica. A prevenção envolve o acompanhamento pré-natal adequado, a prevenção do parto prematuro, o uso pré-natal do corticosteróide, a terapia de reposição de surfactante e o uso de estratégias ventilatórias protetoras. O tratamento do paciente com displasia broncopulmonar demanda uma equipe multidisciplinar. Quando indicada, a suplementação de oxigênio é de extrema importância. Apesar de maior risco de morbimortalidade nos primeiros anos de vida, a evolução em longo prazo é favorável na maioria das vezes. CONCLUSÕES: A displasia broncopulmonar vem sendo profundamente estudada na tentativa de identificação das suas causas e possibilidades de prevenção e de tratamento. Ainda existem controvérsias quanto a esses assuntos e também em relação ao prognóstico desses pacientes, especialmente quando se trata da evolução tardia da nova displasia broncopulmonar.Universidade de São Paulo Faculdade de Medicina Hospital das ClínicasUniversidade Federal de São Paulo (UNIFESP) Escola Paulista de Medicina Departamento de PediatriaHospital e Maternidade Santa Joana Unidade de Terapia Intensiva NeonatalUniversidade de São Paulo Faculdade de Medicina Departamento de PediatriaUNIFESP, EPM, Depto. de PediatriaSciEL

Rhinovirus C and Respiratory Exacerbations in Children with Cystic Fibrosis

To investigate a possible role for human rhinovirus C in respiratory exacerbations of children with cystic fibrosis, we conducted microbiologic testing on respiratory specimens from 103 such patients in São Paulo, Brazil, during 2006–2007. A significant association was found between the presence of human rhinovirus C and respiratory exacerbations

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

ATLANTIC EPIPHYTES: a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest

Epiphytes are hyper-diverse and one of the frequently undervalued life forms in plant surveys and biodiversity inventories. Epiphytes of the Atlantic Forest, one of the most endangered ecosystems in the world, have high endemism and radiated recently in the Pliocene. We aimed to (1) compile an extensive Atlantic Forest data set on vascular, non-vascular plants (including hemiepiphytes), and lichen epiphyte species occurrence and abundance; (2) describe the epiphyte distribution in the Atlantic Forest, in order to indicate future sampling efforts. Our work presents the first epiphyte data set with information on abundance and occurrence of epiphyte phorophyte species. All data compiled here come from three main sources provided by the authors: published sources (comprising peer-reviewed articles, books, and theses), unpublished data, and herbarium data. We compiled a data set composed of 2,095 species, from 89,270 holo/hemiepiphyte records, in the Atlantic Forest of Brazil, Argentina, Paraguay, and Uruguay, recorded from 1824 to early 2018. Most of the records were from qualitative data (occurrence only, 88%), well distributed throughout the Atlantic Forest. For quantitative records, the most common sampling method was individual trees (71%), followed by plot sampling (19%), and transect sampling (10%). Angiosperms (81%) were the most frequently registered group, and Bromeliaceae and Orchidaceae were the families with the greatest number of records (27,272 and 21,945, respectively). Ferns and Lycophytes presented fewer records than Angiosperms, and Polypodiaceae were the most recorded family, and more concentrated in the Southern and Southeastern regions. Data on non-vascular plants and lichens were scarce, with a few disjunct records concentrated in the Northeastern region of the Atlantic Forest. For all non-vascular plant records, Lejeuneaceae, a family of liverworts, was the most recorded family. We hope that our effort to organize scattered epiphyte data help advance the knowledge of epiphyte ecology, as well as our understanding of macroecological and biogeographical patterns in the Atlantic Forest. No copyright restrictions are associated with the data set. Please cite this Ecology Data Paper if the data are used in publication and teaching events. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ