Effect of intraoperative HES 6% 130/0.4 on the need for blood transfusion after major oncologic surgery: a propensity-matched analysis

OBJECTIVES: To evaluate the effect of the intraoperative use of hydroxyethyl starch on the need for blood products in the perioperative period of oncologic surgery. The secondary end-points included the need for other blood products, the clotting profile, the intensive care unit mortality and length of stay. METHODS: Retrospective observational analysis in a tertiary oncologic ICU in Brazil including 894 patients submitted to oncologic surgery for a two-year period from September 2007. Patients were grouped according to whether hydroxyethyl starch was used during surgery (hydroxyethyl starch and No-hydroxyethyl starch groups) and compared using a propensity score analysis. A total of 385 propensity-matched patients remained in the analysis (97 in the No-hydroxyethyl starch group and 288 in the hydroxyethyl starch group). RESULTS: A higher percentage of patients in the hydroxyethyl starch group required red blood cell transfusion during surgery (26% vs. 14%; p = 0.016) and in the first 24 hours after surgery (5% vs. 0%; p = 0.015) but not in the 24- to 48-hour period after the procedure. There was no difference regarding the transfusion of other blood products, intensive care unit mortality or length of stay. CONCLUSION: Hydroxyethyl starch use in the intraoperative period of major oncologic surgery is associated with an increase in red blood cell transfusions. There are no differences in the need for other blood products, intensive care unit length of stay or mortality

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

Effect of intraoperative HES 6% 130/0.4 on the need for blood transfusion after major oncologic surgery: a propensity-matched analysis

OBJECTIVES: To evaluate the effect of the intraoperative use of hydroxyethyl starch on the need for blood products in the perioperative period of oncologic surgery. The secondary end-points included the need for other blood products, the clotting profile, the intensive care unit mortality and length of stay. METHODS: Retrospective observational analysis in a tertiary oncologic ICU in Brazil including 894 patients submitted to oncologic surgery for a two-year period from September 2007. Patients were grouped according to whether hydroxyethyl starch was used during surgery (hydroxyethyl starch and No-hydroxyethyl starch groups) and compared using a propensity score analysis. A total of 385 propensity-matched patients remained in the analysis (97 in the No-hydroxyethyl starch group and 288 in the hydroxyethyl starch group). RESULTS: A higher percentage of patients in the hydroxyethyl starch group required red blood cell transfusion during surgery (26% vs. 14%; p = 0.016) and in the first 24 hours after surgery (5% vs. 0%; p = 0.015) but not in the 24- to 48-hour period after the procedure. There was no difference regarding the transfusion of other blood products, intensive care unit mortality or length of stay. CONCLUSION: Hydroxyethyl starch use in the intraoperative period of major oncologic surgery is associated with an increase in red blood cell transfusions. There are no differences in the need for other blood products, intensive care unit length of stay or mortality

Omega-3 enriched chocolate milk: a functional drink to improve health during exhaustive exercise

FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOOmega-3 enriched chocolate milk (O3ECM) has a suitable combination of proteins, electrolytes and carbohydrates for post-workout recovery. Herein, the effects of an O3ECM on biochemical parameters and muscle damage in sedentary rats submitted to a session of intense and acute exhaustive exercise was evaluated. Forty-eight male Wistar rats were divided into the following test groups: (a) sedentary rats fed a chocolate milk; (b) sedentary rats fed an O3ECM; (c) exercised rats fed a chocolate milk; and (d) exercised rats fed an O3ECM. After 15 days, the analysis of muscle damage and health parameters was performed. The results showed that the O3ECM consumption decreased the muscle damage (creatine kinase -20% and lactate dehydrogenase -18.7%), as well as increased the activity of endogenous enzymes (catalase +41%, superoxide dismutase +26.7% and glutathione peroxidase +35.7%) and decreased the total cholesterol (-7.8%) and triacylglycerols (-16.2%). Overall, O3ECM can minimize the deleterious effects of exhaustive exercise. (C) 2015 Elsevier Ltd. All rights reserved.Omega-3 enriched chocolate milk (O3ECM) has a suitable combination of proteins, electrolytes and carbohydrates for post-workout recovery. Herein, the effects of an O3ECM on biochemical parameters and muscle damage in sedentary rats submitted to a session of intense and acute exhaustive exercise was evaluated. Forty-eight maleWistar rats were divided into the following test groups: (a) sedentary rats fed a chocolate milk; (b) sedentary rats fed an O3ECM; (c) exercised rats fed a chocolate milk; and (d) exercised rats fed an O3ECM. After 15 days, the analysis of muscle damage and health parameters was performed. The results showed that the O3ECM consumption decreased the muscle damage (creatine kinase −20% and lactate dehydrogenase −18.7%), as well as increased the activity of endogenous enzymes (catalase +41%, superoxide dismutase +26.7% and glutathione peroxidase +35.7%) and decreased the total cholesterol (−7.8%) and triacylglycerols (−16.2%). Overall, O3ECM can minimize the deleterious effects of exhaustive exercise14676683FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO2012/07560-

Omega-3 enriched chocolate milk : a functional drink to improve health during exhaustive exercise

Omega-3 enriched chocolate milk (O3ECM) has a suitable combination of proteins, electrolytes and carbohydrates for post-workout recovery. Herein, the effects of an O3ECM on biochemical parameters and muscle damage in sedentary rats submitted to a session of intense and acute exhaustive exercise was evaluated. Forty-eight male Wistar rats were divided into the following test groups: (a) sedentary rats fed a chocolate milk; (b) sedentary rats fed an O3ECM; (c) exercised rats fed a chocolate milk; and (d) exercised rats fed an O3ECM. After 15 days, the analysis of muscle damage and health parameters was performed. The results showed that the O3ECM consumption decreased the muscle damage (creatine kinase −20% and lactate dehydrogenase −18.7%), as well as increased the activity of endogenous enzymes (catalase +41%, superoxide dismutase +26.7% and glutathione peroxidase +35.7%) and decreased the total cholesterol (−7.8%) and triacylglycerols (−16.2%). Overall, O3ECM can minimize the deleterious effects of exhaustive exercise14676683FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP2012/07560-