Prognostic power of conventional echocardiography in individuals without history of cardiovascular diseases: A systematic review and meta-analysis

Echocardiographic abnormalities are associated with a higher incidence of adverse cardiovascular outcomes. This systematic review and meta-analysis aimed to evaluate whether echocardiographic abnormalities are predictors of cardiovascular events in individuals without previous cardiovascular diseases. The PubMed, Scopus, and SciELO databases were searched for longitudinal studies investigating the association between echocardiographic abnormalities and cardiovascular events among individuals without known cardiovascular diseases. Two independent reviewers analyzed data on the number of participants, age and sex, echocardiographic alterations, follow-up time, and cardiovascular outcomes. The meta-analysis estimated the risk ratio (RR) and 95% confidence interval (CI). Heterogeneity was assessed using I2 test. Twenty-two longitudinal studies met the eligibility criteria, comprising a total of 55,603 patients. Left ventricular hypertrophy (LVH) was associated with non-fatal cardiovascular events (RR 2.16; 95% CI 1.22-3.84), death from cardiovascular disease (RR 2.58; 95% CI 1.83- 3.64), and all-cause mortality (RR 2.02; 95% CI 1.34-3.04). Left ventricular diastolic dysfunction (LVDD) and left atrial dilation (LA) were associated with fatal and non-fatal cardiovascular events (RR 2.01; 95% CI 1.32-3.07) and (RR 1.78; 95% CI 1.16-2.73), respectively. Aortic root dilation was associated with non-fatal cardiovascular events (RR 1.25; 95% CI 1.09-1.43). In conclusion, LVH, LVDD, dilations of the LA, and of the aortic root were associated with an increased risk of adverse events in individuals without previous cardiovascular diseases. This study suggests that simple data obtained on conventional echocardiography can be an important predictor of cardiovascular outcomes in a low-risk population

Impactos ambientais e qualidade microbiológica da água do Rio Açailândia, localizado na cidade de Açailândia, Estado do Maranhão / Environmental impacts and water microbiological quality from Rio Açailândia, in Açailândia town, Maranhão State, Brazil

Os impactos ambientais são considerados os principais fatores que influenciam negativamente o ambiente natural. Quando ocorrem nos cursos de rios tornam-se ameaças à saúde pública e contribuem para a perda de biodiversidade. Assim, o objetivo deste trabalho foi avaliar de forma simplificada os impactos ambientais e a qualidade da água do Rio Açailândia, um importante recurso hídrico da cidade de Açailândia, Maranhão. Foi aplicado um questionário de avaliação de impactos com parâmetros de fácil visualização em campo, em 3 pontos estabelecidos (P1, P2 e P3), ao longo do trecho de ocorrência do Rio. Além disso, análises microbiológicas foram realizadas nos três pontos mencionados para analisar a qualidade da água do rio. Constatou-se que o rio é influenciado negativamente pela alta quantidade de efluentes lançados neste corpo d’água. Além disso, foram observadas erosões com risco de escorregamento, lixo no entorno e dentro do Rio, e indícios de vandalismo. Essas observações mostram que o rio, nos três pontos avaliados, apresenta alto impacto ambiental associado. A análise microbiológica evidenciou que apenas um ponto estava fora dos padrões de potabilidade. Assim, destaca-se a necessidade de mitigação dos impactos ambientais sob o Rio Açailândia por meio da recuperação da mata ciliar, políticas públicas voltadas a essa causa e a sensibilização da população ribeirinha

Incorporating biodiversity responses to land use change scenarios for preventing emerging zoonotic diseases in areas of unknown host-pathogen interactions

The need to reconcile food production, the safeguarding of nature, and the protection of public health is imperative in a world of continuing global change, particularly in the context of risks of emerging zoonotic disease (EZD). In this paper, we explored potential land use strategies to reduce EZD risks using a landscape approach. We focused on strategies for cases where the dynamics of pathogen transmission among species were poorly known and the ideas of “land-use induced spillover” and “landscape immunity” could be used very broadly. We first modeled three different land-use change scenarios in a region of transition between the Cerrado and the Atlantic Forest biodiversity hotspots. The land-use strategies used to build our scenarios reflected different proportions of native vegetation cover, as a proxy of habitat availability. We then evaluated the effects of the proportion of native vegetation cover on the occupancy probability of a group of mammal species and analyzed how the different land-use scenarios might affect the distribution of species in the landscape and thus the risk of EZD. We demonstrate that these approaches can help identify potential future EZD risks, and can thus be used as decision-making tools by stakeholders, with direct implications for improving both environmental and socio-economic outcomes

Psoríase como fator de risco para doenças cardiovasculares: uma revisão da literatura / Psoriasis as a risk factor for cardiovascular disease: a literature review

A psoríase consiste em uma das doenças inflamatórias imunomediadas mais comuns em seres humanos, com prevalência variando de 0,11% a 8,5% na dependência da população analisada. A investigação da associação entre psoríase e fatores de risco para a saúde cardiovascular foi iniciada no último século e, desde então, pesquisas têm apresentado resultados variados. Entretanto, recentes meta-análises e estudos de coorte confirmaram que se trata de uma associação estatisticamente significativa. Os artigos utilizados nesta revisão bibliográfica foram pesquisados nas bases de dados National Library of Medicine (PubMED), Google Acadêmico e Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS) e publicados entre os anos 2000 e 2021. Novas evidências científicas reforçam a existência de associação da psoríase com comorbidades que elevam o risco de o indivíduo desenvolver doenças cardiovasculares, incluindo componentes da síndrome metabólica, como diabetes, hipertensão arterial sistêmica, obesidade e dislipidemia. Em razão de a psoríase relacionar-se a um estado de inflamação sistêmica que gera repercussões no aparelho cardiovascular, é importante conscientizar os profissionais médicos sobre a aterosclerose em pacientes psoriáticos, para que intervenções terapêuticas precoces e medidas preventivas possam ser implementadas

MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal

Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.info: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 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

Mammals in Portugal: a data set of terrestrial, volant, and marine mammal occurrences in Portugal

Mammals are threatened worldwide, with ~26% of all species being included in the IUCN threatened categories. This overall pattern is primarily associated with habitat loss or degradation, and human persecution for terrestrial mammals, and pollution, open net fishing, climate change, and prey depletion for marine mammals. Mammals play a key role in maintaining ecosystems functionality and resilience, and therefore information on their distribution is crucial to delineate and support conservation actions. MAMMALS IN PORTUGAL is a publicly available data set compiling unpublished georeferenced occurrence records of 92 terrestrial, volant, and marine mammals in mainland Portugal and archipelagos of the Azores and Madeira that includes 105,026 data entries between 1873 and 2021 (72% of the data occurring in 2000 and 2021). The methods used to collect the data were: live observations/captures (43%), sign surveys (35%), camera trapping (16%), bioacoustics surveys (4%) and radiotracking, and inquiries that represent less than 1% of the records. The data set includes 13 types of records: (1) burrows | soil mounds | tunnel, (2) capture, (3) colony, (4) dead animal | hair | skulls | jaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8), observation in shelters, (9) photo trapping | video, (10) predators diet | pellets | pine cones/nuts, (11) scat | track | ditch, (12) telemetry and (13) vocalization | echolocation. The spatial uncertainty of most records ranges between 0 and 100 m (76%). Rodentia (n =31,573) has the highest number of records followed by Chiroptera (n = 18,857), Carnivora (n = 18,594), Lagomorpha (n = 17,496), Cetartiodactyla (n = 11,568) and Eulipotyphla (n = 7008). The data set includes records of species classified by the IUCN as threatened (e.g., Oryctolagus cuniculus [n = 12,159], Monachus monachus [n = 1,512], and Lynx pardinus [n = 197]). We believe that this data set may stimulate the publication of other European countries data sets that would certainly contribute to ecology and conservation-related research, and therefore assisting on the development of more accurate and tailored conservation management strategies for each species. There are no copyright restrictions; please cite this data paper when the data are used in publications

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