LONG-TERM NON-PROGRESSOR (LTNP) HIV INFECTION. A CASE REPORT OF AN 81-YEAR-OLD WOMAN

An 81-year-old woman, long-term non-progressor HIV infected, asymptomatic, not using ART, with a seven-year clinical follow-up in a reference unit, TCD4+ cell count values ​​ranged from 719 to 1151 cells/µl, TCD8+ from 579 to 897 cells/µl and a viral load with higher value of 51 viral copies/ml but with undetectable results in most of the tests performed. The report of the long-term non-progressor HIV carrier aged over 80 years is somewhat unusual, considering the physiological/immunological changes that occur with the aging process concomitantly with HIV infection

SPATIAL DISTRIBUTION OF ACUTE CASES OF CHAGAS DISEASE REPORTED FROM 2010 TO 2020 IN THE STATE OF AMAZONAS

This study aimed to investigate the epidemiology of acute cases of Chagas disease notified in the State of Amazonas between the period from 2010 to 2020. Data were obtained from the portal of the Sistema de Informação de Agravos de Notificação- SINAN, considering the number of cases per municipality of notification. 140 cases of Acute Chagas Disease were notified, distributed in 23 of the 62 municipalities of the State of Amazonas, 82 (59%) were male individuals, with a greater predominance in the age group of 20-39 years old, having 45 (32.1%) cases. As for the race/color variable, the highest number was among brown people with 101 (72.1%) notifications. The oral route prevailed as the main form of disease transmission with 93 (66.4%) records. Infection by the oral route of T. cruzi is the most important route of transmission of CD in the State of Amazonas, the occurrence of transmission is associated in most cases with the consumption of foods such as açaí juice and has been reported frequently over the years between municipalities

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

Cross-Sectional Serological Survey of Human Fascioliasis in Canutama Municipality in Western Amazon, Brazil

Background. Fascioliasis is an important parasitic disease. In the northern region of Brazil, a human parasite infection has been reported through a coprological survey. Eggs of Fasciola hepatica were found in fecal samples of 11 individuals. Knowledge of the infection in animals or the presence of snails is necessary to address the possibility of the parasite cycle occurrence in that region. The aim of this study was to describe the transmission of human fascioliasis in Canutama, Amazonas, in Western Amazonia, Brazil. Methods. Serological (ELISA and Western Blot, WB) and parasitological analyses were carried out in humans. In addition, the presence of the intermediate snail host within the community was examined. Results. A total of 434 human samples were included in the study, of which 36 (8.3%) were reactive by ELISA and 8 (1.8%) were reactive by WB. Fasciola hepatica eggs were found in one human sample. The occurrence of the intermediated host was recorded and 31/43 specimens were identified as Lymnaea columella. Conclusion. Canutama constitutes a focus of transmission of human fascioliasis. This study describes the first serological survey for human fascioliasis, as well as its simultaneous occurrence in human hosts and possible intermediates performed in northern Brazil

ESTUDO COMPARATIVO DE MÉTODOS DE FIXAÇÃO DA OSTEOTOMIA DE CHEVRON NA CIRURGIA PERCUTÂNEA DO HÁLUX VALGO

Objetivos: Avaliar os resultados do tratamento cirúrgico percutâneo do hálux valgo, comparando os resultados de três métodos de fixação da osteotomia tipo “Chevron” do primeiro metatarso. Material e métodos: Setenta e um pés foram submetidos à cirurgia percutânea com osteotomia em “Chevron”, entre 2017 e 2022 sendo 41 pés fixados com parafuso, 18 com 2 fios K e 12 com 1 parafuso e 1 fio K. Os resultados clínicos foram avaliados pelo Score AOFAS Hallux MTP-IP. Os desfechos radiográficos incluíram ângulo do hálux valgo (AVH), ângulo intermetatarsal (AIM), ângulo articular distal do primeiro metatarso (AADM) e deslocamento do sesamóide (DS). Todos os pacientes tiveram seguimento mínimo de 6 meses. Resultados: Não houve diferença estatisticamente significativa entre os três grupos no escore AOFAS (p<0,001). Houve redução nas médias do AVH, AIM, DS e AADM do pré para o pós-operatório, em todas as técnicas em magnitudes semelhantes. Do total da amostra, 17 apresentaram algum tipo de complicação. Não houve diferença estatisticamente significativa de complicações por técnica. Conclusão: Os resultados clínicos e radiológicos nos três métodos de fixação das osteotomias percutâneas em “Chevron” foram equivalentes entre si, sem desvantagem em relação aos parâmetros radiográficos ou aumento de complicações operatórias