GAMMA RADIATION AS A METHOD FOR STERILIZATION OF ALL-IN-ONE ADMIXTURES BAGS FOR CLINICAL USE: A STUDY OF STABILITY

Objective: The aim of this work was to evaluate the stability of all-in-one (AIO) admixtures exposed to gamma irradiation sterilization.Methods: The samples were divided into four groups with 10 bags each: a) Group I: control samples (bags without sterilization or inoculation with microorganisms); b) Group II: bags sterilized by gamma irradiation; c) Group III: bags inoculated and then irradiated and, d) Group IV: bags only inoculated. The following studies were performed: macroscopic analysis of admixtures; physicochemical stability; degree of lipoperoxidation (LPO), and microbiological tests.Results: Gamma irradiation sterilization was 100% effective, since no irradiated sample showed growth of microorganisms. All groups exhibited similar particle size distribution, but a longer storage time led to a smaller percentage of large particles. In general, irradiated samples showed reduced LPO.Conclusion: Gamma irradiation sterilization of these admixtures can be extended to clinical practice, as it results in physicochemically stable admixtures

Perfil dos pacientes com Síndrome Coronariana Aguda submetidos a Cineangiocoronariografia em hospital público - privado: Profile of patients with Acute Coronary Syndrome undergoing Cineangiocoronariography in public - private hospital

As doenças cardiovasculares são as principais causas de morte no Brasil, dentre elas há um destaque maior para a doença isquêmica do coração. As formas terapêuticas são selecionadas de acordo com a história clínica, exame físico e avaliações complementares de cada paciente, como destaque na intervenção há a cineangiocoronariografia que é um importante método de revascularização miocárdica. O objetivo foi identificar o perfil dos pacientes com Síndrome Coronariana Aguda submetidos à cineangiocoronariografia internados em hospital público/privado de Juiz de Fora, MG e analisar a prevalência de fatores de risco para doença arterial coronariana. Foi realizado um estudo observacional, transversal, prospectivo, de série de casos em pacientes com SCA submetidos à cineangiocoronariografia internados em hospital público/privado de Juiz de Fora – MG, no período de janeiro à março de 2021. Foram incluídos 40 pacientes com idade entre média de idade de 60,67±8,54 anos (41-80 anos) sendo a faixa etária predominante a dos indivíduos de 50 a 70 anos, correspondendo a 75% da amostra; 67,5% dos pacientes eram do sexo masculino, os fatores de risco predominantes foram a história familiar positiva para coronariopatia, tabagismo e hipertensão arterial sistêmica. É notório a importância das influências ambientais e dos fatores de risco convencionais no desenvolvimento da DAC. No entanto, com base nesse estudo, não se pode inferir políticas de saúde pública devido ao baixo número da amostra e outras limitações do estudo

O impacto da ultrassonografia no atendimento multidisciplinar na UTI

Introduction: The introduction of ultrasound in the Intensive Care Unit (ICU) represents a significant milestone, fostering substantial advancements in multidisciplinary practice and positively influencing the management of various critical conditions. The application of pulmonary ultrasound, in particular, emerges as a versatile and essential tool, directly impacting the quality of care provided. Methodology: A bibliographic search was conducted on the PUBMED platform, utilizing specific Mesh descriptors: Ultrasonography, Intensive Care Units, Patient Care Team. The search period spanned from 2013 to 2021, encompassing a total of 33 articles. Results: The application of ultrasound in the ICU has proven to be an extremely relevant tool for multidisciplinary care. Pulmonary ultrasound, when employed by intensivists, not only provides a precise assessment of the mentioned conditions but also plays a fundamental role in rapid decision-making and treatment optimization. Conclusion: Ultrasound emerges as a transformative tool in the ICU, shaping multidisciplinary practice and ushering in an era of more advanced and patient-centered intensive care. Its crucial role in swift decision-making and treatment optimization reinforces its position as an indispensable element in the toolkit of healthcare professionals in both the present and future ICU settings.Introdução: A introdução da ultrassonografia na Unidade de Terapia Intensiva (UTI) representa um marco significativo, promovendo avanços substanciais na prática multidisciplinar e influenciando positivamente o manejo de diversas condições críticas. A aplicação da ultrassonografia pulmonar, em particular, surge como uma ferramenta versátil e essencial, impactando diretamente a qualidade do atendimento prestado. Metodologia: A pesquisa bibliográfica foi conduzida na plataforma PUBMED, utilizando descritores Mesh específicos: Ultrasonography, Intensive Care Units, Patient Care Team. O período de busca abrangeu os anos de 2013 a 2021, totalizando 33 artigos. Resultado: Aplicação da ultrassonografia na UTI tem se mostrado uma ferramenta de extrema relevância para o atendimento multidisciplinar. A ultrassonografia pulmonar, quando utilizada pelos intensivistas, não apenas oferece uma avaliação precisa das condições mencionadas, mas também desempenha um papel fundamental na rápida tomada de decisões e na otimização do tratamento. Conclusão: A ultrassonografia emerge como uma ferramenta transformadora na UTI, moldando a prática multidisciplinar e promovendo uma era de cuidados intensivos mais avançados e centrados no paciente. Seu papel crucial na rápida tomada de decisões e na otimização do tratamento reforça sua posição como um elemento indispensável na caixa de ferramentas dos profissionais de saúde nas UTIs do presente e do futuro

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

Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): Study protocol for a randomized controlled trial

Background: Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design: ART is a pragmatic, multicenter, randomized (concealed), controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 h duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45 cmH(2)O and peak pressure of 60 cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4 to 6 mL/kg of predicted body weight) and targeting plateau pressure <= 30 cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from days 1 to 28; ICU, in-hospital, and 6-month survival. ART is an event-guided trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion: If the ART strategy with maximum recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method.Hospital do Coracao (HCor) as part of the Program 'Hospitais de Excelencia a Servico do SUS (PROADI-SUS)'Brazilian Ministry of Healt

ATLANTIC BIRD TRAITS: a data set of bird morphological traits from the Atlantic forests of South America

Scientists have long been trying to understand why the Neotropical region holds the highest diversity of birds on Earth. Recently, there has been increased interest in morphological variation between and within species, and in how climate, topography, and anthropogenic pressures may explain and affect phenotypic variation. Because morphological data are not always available for many species at the local or regional scale, we are limited in our understanding of intra- and interspecies spatial morphological variation. Here, we present the ATLANTIC BIRD TRAITS, a data set that includes measurements of up to 44 morphological traits in 67,197 bird records from 2,790 populations distributed throughout the Atlantic forests of South America. This data set comprises information, compiled over two centuries (1820–2018), for 711 bird species, which represent 80% of all known bird diversity in the Atlantic Forest. Among the most commonly reported traits are sex (n = 65,717), age (n = 63,852), body mass (n = 58,768), flight molt presence (n = 44,941), molt presence (n = 44,847), body molt presence (n = 44,606), tail length (n = 43,005), reproductive stage (n = 42,588), bill length (n = 37,409), body length (n = 28,394), right wing length (n = 21,950), tarsus length (n = 20,342), and wing length (n = 18,071). The most frequently recorded species are Chiroxiphia caudata (n = 1,837), Turdus albicollis (n = 1,658), Trichothraupis melanops (n = 1,468), Turdus leucomelas (n = 1,436), and Basileuterus culicivorus (n = 1,384). The species recorded in the greatest number of sampling localities are Basileuterus culicivorus (n = 243), Trichothraupis melanops (n = 242), Chiroxiphia caudata (n = 210), Platyrinchus mystaceus (n = 208), and Turdus rufiventris (n = 191). ATLANTIC BIRD TRAITS (ABT) is the most comprehensive data set on measurements of bird morphological traits found in a biodiversity hotspot; it provides data for basic and applied research at multiple scales, from individual to community, and from the local to the macroecological perspectives. No copyright or proprietary restrictions are associated with the use of this data set. Please cite this data paper when the data are used in publications or teaching and educational activities. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ

ATLANTIC BIRD TRAITS

Scientists have long been trying to understand why the Neotropical region holds the highest diversity of birds on Earth. Recently, there has been increased interest in morphological variation between and within species, and in how climate, topography, and anthropogenic pressures may explain and affect phenotypic variation. Because morphological data are not always available for many species at the local or regional scale, we are limited in our understanding of intra- and interspecies spatial morphological variation. Here, we present the ATLANTIC BIRD TRAITS, a data set that includes measurements of up to 44 morphological traits in 67,197 bird records from 2,790 populations distributed throughout the Atlantic forests of South America. This data set comprises information, compiled over two centuries (1820–2018), for 711 bird species, which represent 80% of all known bird diversity in the Atlantic Forest. Among the most commonly reported traits are sex (n = 65,717), age (n = 63,852), body mass (n = 58,768), flight molt presence (n = 44,941), molt presence (n = 44,847), body molt presence (n = 44,606), tail length (n = 43,005), reproductive stage (n = 42,588), bill length (n = 37,409), body length (n = 28,394), right wing length (n = 21,950), tarsus length (n = 20,342), and wing length (n = 18,071). The most frequently recorded species are Chiroxiphia caudata (n = 1,837), Turdus albicollis (n = 1,658), Trichothraupis melanops (n = 1,468), Turdus leucomelas (n = 1,436), and Basileuterus culicivorus (n = 1,384). The species recorded in the greatest number of sampling localities are Basileuterus culicivorus (n = 243), Trichothraupis melanops (n = 242), Chiroxiphia caudata (n = 210), Platyrinchus mystaceus (n = 208), and Turdus rufiventris (n = 191). ATLANTIC BIRD TRAITS (ABT) is the most comprehensive data set on measurements of bird morphological traits found in a biodiversity hotspot; it provides data for basic and applied research at multiple scales, from individual to community, and from the local to the macroecological perspectives. No copyright or proprietary restrictions are associated with the use of this data set. Please cite this data paper when the data are used in publications or teaching and educational activities. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ