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

Prevalence and associated factors for suicidal ideation and behaviors in obsessive-compulsive disorder

Introduction: Patients with obsessive-compulsive disorder (OCD) have historically been considered at low risk for suicide, but recent studies are controversial. Objective: To study the prevalence of suicidal thoughts and attempts in OCD patients and to compare those with and without suicidality according to demographic and clinical variables. Methods: Fifty outpatients with primary OCD (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) from a Brazilian public university were evaluated. The Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) was used to assess OCD severity, the Beck Depression Inventory to evaluate depressive symptoms and the Alcohol Use Disorders Identification Test to assess alcohol problems. Results: All patients had obsessions and compulsions, 64% a chronic fluctuating course and 62% a minimum Y-BOCS score of 16. Half of the patients presented relevant depressive symptoms, but only three had a history of alcohol problems. Seventy percent reported having already thought that life was not worth living, 56% had wished to be dead, 46% had suicidal ideation, 20% had made suicidal plans, and 10% had already attempted suicide. Current suicidal ideation occurred in 14% of the sample and was significantly associated with a Y-BOCS score ≥16. Previous suicidal thoughts were associated with a Beck Depression Inventory score ≥19. Conclusion: Suicidally has been underestimated in OCD and should be investigated in every patient, so that appropriate preventive measures can be taken

Oxigenoterapia inalatória em pacientes pediátricos internados em hospital universitário Oxygen inhalation therapy in children admitted to an university hospital

OBJETIVO: Avaliar o uso da oxigenoterapia inalatória em crianças internadas em hospital universitário. MÉTODOS: Estudo prospectivo de crianças atendidas no Pronto-Socorro Pediátrico do Hospital das Clínicas da Faculdade de Medicina de Botucatu e que receberam oxigenoterapia durante a internação, de maio a setembro de 2005. Indicou-se oxigenoterapia se saturação de oxigênio inferior a 90% e frequência respiratória elevada para idade. Crianças em uso crônico de oxigênio ou com necessidade de ventilação mecânica foram excluídas. Foram avaliados: sintomas respiratórios, diagnósticos clínicos, saturação de oxigênio, método e tempo de oxigenoterapia e responsável pela prescrição. RESULTADOS: Foram atendidas 8.709 crianças no pronto-socorro, sendo que 2.769 (32%) apresentaram doenças respiratórias e 97 necessitaram de internação na enfermaria. Destas, 62 (64%) receberam oxigenoterapia. Das 62 crianças, 37 eram do sexo masculino e a idade variou de 2 meses a 14 anos (mediana: 8 meses). A causa de hipóxia foi pneumonia em 52 crianças (84%), asma em cinco, bronquiolite em quatro e traqueomalácia em uma. As prescrições de oxigenoterapia foram feitas por médicos, com monitoração de saturação de oxigênio por oxímetro de pulso. O tempo mediano de administração de O2 foi 6 dias e o cateter nasal foi usado em 94% dos casos, sendo raro o uso de máscaras ou capuz de oxigênio. CONCLUSÕES: A oxigenoterapia inalatória foi mais frequente em crianças com menor idade e em pacientes com pneumonia, sendo sua indicação compatível com critérios internacionais. O uso do cateter nasal mostrou-se seguro, simples, efetivo e de baixo custo.<br>OBJECTIVE: To evaluate inalatory oxygen therapy in children admitted to a university hospital. METHODS: Prospective study of children assisted at the Emergency Room of the University Hospital of Botucatu Medical School and submitted to oxygen therapy during hospitalization, from May to September 2005. Criteria for oxygen therapy were oxygen saturation less than 90% and high respiratory rate for age. Children in chronic use of oxygen or in need of mechanical ventilation were excluded. The following data were analysed: clinical respiratory symptoms, clinical diagnosis, oxygen saturation, methods, duration and who made the prescription of oxygen therapy. RESULTS: Out of 8,709 children admitted to the emergency room, 2,769 (32%) had respiratory tract diseases and 97 needed hospitalization. From these, 62 (64%) were submitted to oxygen therapy (37 males; 2 months to 14 years old). Pneumonia was the cause of hypoxemia in 52 children (84%), asthma in five, bronchiolitis in four and tracheomalacia in one. Oxygen therapy was prescribed by physicians, with daily observation and monitoring of oxygen saturation by pulse oxymetry. The median time of oxigen use was 6 days and nasal catheters were used in 94% of children, Facial masks or hoods were rarely prescribed. CONCLUSIONS: Inalatory oxygen therapy was more frequently used in younger patients and in children with pneumonia. Its prescriptions followed international criteria. Nasal catheter seemed to be safe, simple, effective and an inexpensive method of oxygen delivery