Gradiente florístico das florestas secundárias do Nordeste Paraense Floristic gradient of the northeast Paraense secondary forests

O presente estudo descreve um gradiente florístico de uma cronosequência de florestas secundárias do Nordeste Paraense, a partir de 19 sítios de diferentes idades, avaliados em diferentes anos. Foram usados os dados de densidade e realizada análise de regressão para riqueza, diversidade, densidade, densidade relativa máxima e equibilidade em relação à idade. Foi usado o método de análise de agrupamento hierárquico, sendo a distância euclidiana utilizada como medida de dissimilaridade e aplicada uma Análise de Componente Principal (PCA) para confirmação dos grupos. Após a definição dos grupos, foi feita a análise indicadora de espécies (IndVal) sobre a mesma matriz utilizada para análise de agrupamento. Encontrou-se um gradiente geográfico na cronosequência analisada e as espécies Tapirira guianensis, Vismia guianensis, Inga alba, Lacistema aggregatum, Croton maturensis, Abarema jupunba, Inga rubiginosa, Guateria poepigiana e Thyrsodium paraense, são indicadoras das florestas secundárias do Nordeste Paraense analisadas neste estudo.<br>This study describes a floristic gradient of secondary forest chronosequence in northeast of Pará State - Brazil, from 19 sites of different ages, evaluated in different years. We used density data and carried out regression analysis for richness, diversity, density, maximum relative density and equitability in relation to the age. We used the hierarchic grouping method of analysis and the Euclidean distance as dissimilarity measure, and applied a Principal Component Analysis (PCA) for confirming the groups. After defining the groups, we made an indicating species analysis (IndVal) on the same matrix used for the grouping analysis. We found a geographic gradient in the chronosequence analyzed and the species Tapirira guianensis, Vismia guianensis, Inga alba, Lacistema aggregatum, Croton maturensis, Abarema jupunba, Inga rubiginosa, Guateria poepigiana and Thyrsodium paraense to be indicators of the northeast Para (Brazil) secondary forests analyzed in this study

ABC₂-SPH risk score for in-hospital mortality in COVID-19 patients

Objectives: The majority of available scores to assess mortality risk of coronavirus disease 2019 (COVID-19) patients in the emergency department have high risk of bias. Therefore, this cohort aimed to develop and validate a score at hospital admission for predicting in-hospital mortality in COVID-19 patients and to compare this score with other existing ones. Methods: Consecutive patients (≥ 18 years) with confirmed COVID-19 admitted to the participating hospitals were included. Logistic regression analysis was performed to develop a prediction model for in-hospital mortality, based on the 3978 patients admitted between March–July, 2020. The model was validated in the 1054 patients admitted during August–September, as well as in an external cohort of 474 Spanish patients. Results: Median (25–75th percentile) age of the model-derivation cohort was 60 (48–72) years, and in-hospital mortality was 20.3%. The validation cohorts had similar age distribution and in-hospital mortality. Seven significant variables were included in the risk score: age, blood urea nitrogen, number of comorbidities, C-reactive protein, SpO2/FiO2 ratio, platelet count, and heart rate. The model had high discriminatory value (AUROC 0.844, 95% CI 0.829–0.859), which was confirmed in the Brazilian (0.859 [95% CI 0.833–0.885]) and Spanish (0.894 [95% CI 0.870–0.919]) validation cohorts, and displayed better discrimination ability than other existing scores. It is implemented in a freely available online risk calculator (https://abc2sph.com/). Conclusions: An easy-to-use rapid scoring system based on characteristics of COVID-19 patients commonly available at hospital presentation was designed and validated for early stratification of in-hospital mortality risk of patients with COVID-19.</p

Growing knowledge: an overview of Seed Plant diversity in Brazil

Abstract An updated inventory of Brazilian seed plants is presented and offers important insights into the country's biodiversity. This work started in 2010, with the publication of the Plants and Fungi Catalogue, and has been updated since by more than 430 specialists working online. Brazil is home to 32,086 native Angiosperms and 23 native Gymnosperms, showing an increase of 3% in its species richness in relation to 2010. The Amazon Rainforest is the richest Brazilian biome for Gymnosperms, while the Atlantic Rainforest is the richest one for Angiosperms. There was a considerable increment in the number of species and endemism rates for biomes, except for the Amazon that showed a decrease of 2.5% of recorded endemics. However, well over half of Brazillian seed plant species (57.4%) is endemic to this territory. The proportion of life-forms varies among different biomes: trees are more expressive in the Amazon and Atlantic Rainforest biomes while herbs predominate in the Pampa, and lianas are more expressive in the Amazon, Atlantic Rainforest, and Pantanal. This compilation serves not only to quantify Brazilian biodiversity, but also to highlight areas where there information is lacking and to provide a framework for the challenge faced in conserving Brazil's unique and diverse flora