Determinants of late neonatal nosocomial infection: a case-control study in Ceará

OBJETIVO Identificar os fatores determinantes para infecções relacionadas à assistência à saúde (IRAS) tardias em terapia intensiva neonatal e multirresistência bacteriana. MÉTODOS Estudo caso-controle em unidade de terapia intensiva neonatal do Estado do Ceará, entre janeiro de 2013 e dezembro de 2017. Considerado caso o recém-nascido notificado como IRAS tardia e, controle, aquele sem infecção. Variáveis com valor de p ≤ 0,05 em análise regressiva bivariada inicial foram incluídas em modelo logístico hierarquizado não condicional para análise multivariada. Valores de p menores que 0,01 foram considerados significativos. RESULTADOS Dos 1.132 participantes, 427 (37,7%) tiveram infecções tardias relacionadas a assistência à saúde, com 54 (12,6%) hemoculturas positivas e 14,9% dessas foram bactérias multirresistentes. Na análise bivariada observou-se efeito protetor do sexo feminino (OR = 0,71; IC95% 0,56–0,90) e recém-nascido ≥ 34 semanas (OR = 0,48; IC95% 0,30–0,75). Nos mais prematuros, as infecções tardias tiveram chance dezoito vezes maior em menores do que 30 semanas (OR = 18,61; IC95% 9,84–35,22); e nos menores de 1.500g, quatro vezes maior (OR = 4,18; IC95% 3,12–5,61). O uso de ventilação mecânica aumentou em mais de sete vezes a chance (OR = 7,14; IC95% 5,26–9,09); o mesmo aconteceu com o recurso da nutrição parenteral (OR = 5,88; IC95% 4,54–7,69), com o cateter venoso central (OR = 10,00; IC95% 6,66–16,66); o número de cateteres utilizado (OR = 3,93; IC95% 3,02–5,12); a realização de cirurgia (OR = 4,00; IC95% 2,27–7,14) e o tempo de internamento (OR = 1,06; IC95% 1,05–1,07). Permaneceram significativos após ajuste: prematuro menor do que 30 semanas (OR = 5,62; IC95% 1,83–17,28); uso de ventilação (OR = 1,84; IC95% 1,26–2,68); uso de cateter venoso central (OR = 2,48; IC95% 1,40–4,37) e tempo de internamento (OR = 1,06; IC95% 1,05–1,07). Dentre os óbitos, 41 (55,4%) foram associados às infecções tardias. CONCLUSÃO Melhores práticas devem ser adotadas no cuidado da prematuridade e o uso racional de procedimentos, para evitar infecções tardias relacionadas a assistência à saúde, óbitos preveníveis e riscos de multirresistência bacteriana e contaminação ambiental.OBJECTIVES To assess the determining factors of late healthcare-associated infections (HAIs) and bacterial multiple drug resistance in neonatal intensive care. METHODS This is a case-control study, conducted between January 2013 and December 2017, in a neonatal intensive care unit in the state of Ceará, Brazil. Newborns showing late HAIs were considered cases and those without infection, the control. Variables with p-values ≤ 0.05 in our initial bivariate regressive analysis were included in a non-conditional hierarchical logistic model for multivariate analysis. P-values below 0.01 were considered significant. RESULTS Of the 1,132 participants, 427 (37.7%) showed late healthcare-associated infections. Of these, 54 (12.6%), positive blood cultures, of which 14.9% contained multidrug-resistant bacteria. Bivariate analysis showed the protective effect of the feminine phenotype (OR = 0.71; 95%CI: 0.56–0.90) and of gestational ages ≥ 34 weeks (OR = 0.48; 95%CI: 0.30–0.75). In earlier-born preterm infants, late infections were 18 times more likely in those with less than 30 week-gestations (OR = 18.61; 95%CI: 9.84–35.22) and four times higher in those weighing less than 1,500 g (OR = 4.18; 95%CI: 3.12–5.61). Mechanical ventilation increased infection odds by more than seven times (OR = 7.14; 95%CI: 5.26–9.09); as did parenteral nutrition (OR = 5.88; 95%CI: 4.54–7.69); central venous catheters (OR = 10.00; 95%CI: 6.66–16.66); the number of catheters used (OR = 3.93; 95%CI: 3.02–5.12); surgery (OR = 4.00; 95%CI: 2.27–7.14); and hospitalization time (OR = 1.06; 95%CI: 1.05–1.07). The association between preterm infants with less than 30 week-gestations (OR = 5.62; 95%CI: 1.83–17.28); mechanical ventilation (OR = 1.84; 95%CI: 1.26–2.68); central venous catheters (OR = 2.48; 95%CI: 1.40–4.37); and hospitalization time (OR = 1.06; 95%CI: 1.05–1.07) remained significant after adjustment. Among deaths, 41 (55.4%) were associated with late infections. CONCLUSION Better practices should be adopted in caring for the premature, as well as in the rational use of procedures, to avoid late healthcare-associated infections, preventable deaths, and risks of bacterial multiple drug resistance and environmental contamination

Generalidades sobre o quadro clínico da Rinossinusite: uma revisão narrativa de literatura: Generalities about the clinical picture of Rhinosinusitis: a narrative literature reviewv

A rinossinusite é um processo inflamatório da mucosa dos seios paranasais e da cavidade nasal. O sistema nasossinusal é responsável pelo balanço adequado entre a fabricação e o clearence de muco nas cavidades paranasais. A fisiologia deste é de vital importância para a proteção das vias aéreas superiores. No advém, determinados fatores podem acarretar um desbalanço nesse complexo, consequentemente um processo inflamatório. Qualquer fator que altere a drenagem, seja por obstrução, maior produção ou espessamento do muco, como processo infecciosos ou alérgicos, haverá uma impactação de secreções e a facilitação de colonização bacteriana, dando início ao processo infeccioso. A identificação da inflamação do nariz e seios paranasais é basicamente clínica. A suspeição desta ocorre através da manifestação de dois ou mais sintomatologias. As quais são o bloqueio ou obstrução nasal, a descarga nasal, pressão ou dor facial e redução ou perda do olfato. De modo geral, é essencial à prevenção básica das rinossinusites agudas é barrar a infecção viral. O suporte inclui medidas gerais de higiene, alimentação e hidratação, imunização para o combate de vírus respiratórios , administração de fármacos para turbinar o sistema imune se necessário

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

Characterisation of microbial attack on archaeological bone

As part of an EU funded project to investigate the factors influencing bone preservation in the archaeological record, more than 250 bones from 41 archaeological sites in five countries spanning four climatic regions were studied for diagenetic alteration. Sites were selected to cover a range of environmental conditions and archaeological contexts. Microscopic and physical (mercury intrusion porosimetry) analyses of these bones revealed that the majority (68%) had suffered microbial attack. Furthermore, significant differences were found between animal and human bone in both the state of preservation and the type of microbial attack present. These differences in preservation might result from differences in early taphonomy of the bones. © 2003 Elsevier Science Ltd. All rights reserved

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