Avaliação audiométrica de pacientes em tratamento para tuberculose pulmonar

Objective: To evaluate the hearing status of patients being treated for pulmonary tuberculosis at referral hospitals in Brazil. Methods: This was a descriptive study involving 97 male and female inpatients/outpatients between 18 and 60 years of age who were undergoing treatment for active pulmonary tuberculosis at one of two referral hospitals in the state of Rio de Janeiro. After being interviewed, all of the patients underwent pure tone audiometry. Results: OF the 97 patients studied, 65 (67%) were male, 52 (54%) were receiving first-line treatment, and 45 (46%) were receiving second-line treatment, which included aminoglycosides. Smoking, alcohol consumption, exposure to noise, and ototoxic medication use were identified in 65 (67%), 51 (53%), 53 (55%), and 45 (46.4%) of the patients, respectively. The most common auditory and vestibular complaints were dizziness, in 28 patients (28.8%); tinnitus, in 27 (27.8%); and hypoacusis, in 23 (23.7%). Conclusions: Due to the great number of patients with hearing loss in the present study, we recommend that all patients under tuberculosis treatment be submitted to auditory monitoring.OBJETIVO: Analisar a condição auditiva de uma população em tratamento para tuberculose pulmonar em dois hospitais de referência no Brasil. \ud MÉTODOS: Estudo descritivo envolvendo 97 pacientes de ambos os sexos, com idade entre 18 anos e 60 anos, que estivessem em tratamento para tuberculose pulmonar ativa, internados ou em acompanhamento ambulatorial em dois hospitais de referência no estado do Rio de Janeiro. Os participantes foram entrevistados e realizaram audiometria tonal liminar. \ud RESULTADOS: Na população estudada, 65 pacientes (67%) eram homens, 52 (54%) estavam em tratamento de primeira linha e 45 (46%) estavam em tratamento de segunda linha, o qual incluía aminoglicosídeos. Tabagismo, uso de bebidas alcoólicas, exposição a ruído e uso de medicamentos ototóxicos foram identificados respectivamente em 65 (67%), 51 (53%), 53 (55%) e 45 (46,4%) pacientes. As queixas auditivas e vestibulares mais frequentemente mencionadas foram tontura, em 28 (28,8%); zumbido, em 27 (27,8%); e hipoacusia, em 23 (23,7%). \ud CONCLUSÕES: Devido ao elevado número de casos de perda auditiva encontrado neste estudo, recomenda-se que todos os pacientes em tratamento para tuberculose sejam submetidos a monitoramento auditivo

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

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements