20 research outputs found

    Clinical, Laboratory and Ultrasonographic Findings of Diabetic Dog with Emphysematous Cystitis

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    Background: Emphysematous cystitis is a rare inflammatory disease of the lower urinary tract characterized by the accumulation of gas within the wall and lumen of the urinary bladder. The clinical manifestations of emphysematous cystitis resemble those of bacterial cystitis, often hindering the differentiation between the two. In this work, we report a case of emphysematous cystitis in a diabetic dog. The diagnosis of cystitis was followed by ultrasonography for the early detection of emphysematous cystitis, which showed the presence of multifocal and irregular hyperechoic interfaces forming a distal reverberation artifact.                                                                                       Case: A 9-year-old female dog was referred to VETCLINIC Veterinary Hospital 24 hours with a history of urinary incontinence, polydipsia, polyuria, and diabetes mellitus. At first, the blood glucose was measured and found to be 376 mg/dL. Blood count, biochemical measurements of alkaline phosphatase (AF), urea, creatinine, and alanine aminotransferase (AAT), urinalysis, urine culture with antimicrobial susceptibility testing, and abdominal ultrasonography were performed. The hematological exams showed that the serum was lipemic and with hemolysis; the values of AAT, AF, and total plasma proteins were above the reference values; hematocrit was below the normal level; erythrocyte rouleaux and thrombocytosis with platelet aggregates were present. Urinalysis showed the presence of traces of proteins, glucose, and occult blood as well as granular and hyaline cylinders and transitional epithelial cells. In urine culture, growth of the aerobic bacteria Klebsiella pneumoniae was observed, being sensitive to most of the antimicrobials. Ultrasonography showed the presence of gas in the wall of the urinary bladder, besides a discrete thickening of the wall, compatible with the diagnosis of emphysematous cystitis.                                                                                                   Discussion: The first report of emphysematous cystitis in dogs was made in 1926 in a diabetic dog. Emphysematous cystitis is complicated, characterized by the presence of gas in the wall and lumen of the urinary bladder. It is usually reported in patients with diabetes mellitus. The patient presented with a very high glycemic index (376 mg/dL), in addition to having a history of urinary obstruction and presence of bladder stones, which may have acted as predisposing factors for the onset of emphysematous cystitis. In the present case, ultrasonography was the examination of choice. Hyperechoic reverberation-forming lines, identified as gas present in the topography of the urinary bladder, were easily visualized, as described in the literature. For the treatment of this condition, adequate management of the diet and the correct use of antimicrobials are of fundamental importance since the presence of diabetes mellitus in this patient can present serious complications in the future. This report shows the importance of the use of a combination of diagnostic tools to arrive at the correct diagnosis of the patient

    Acinic cell carcinoma of the oral and maxillofacial region: an international multicenter study

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    Abstract The aim of this study was to describe the prevalence, clinicopathological, and prognostic features of acinic cell carcinoma (AciCC) of the oral and maxillofacial region. AciCC cases were retrospectively retrieved from 11 pathology centers of three different countries. Medical records were examined to extract demographic, clinical, pathologic, and follow-up information. A total of 75 cases were included. Females (65.33%) with a mean age of 45.51 years were mostly affected. The lesions usually presented as an asymptomatic (64.28%) nodule (95.66%) in the parotid gland (70.68%). The association of two histopathological patterns was the most common finding (48.93%) and the tumors presented mainly conventional histopathological grades (86.11%). Surgical treatment was performed in the majority of the cases (59.19%). Local recurrence was observed in 20% of the informed cases, regional metastasis in 30.43%, and distant metastasis in 12.50%. The statistical analysis showed that the cases with a solid histopathological pattern (p=0.01), high-grade transformation (p=0.008), recurrence (p=0.007), and regional metastasis (p=0.03) were associated with poor survival. In conclusion, high histopathological transformation, presence of nodal metastasis, and recurrence were prognostic factors for AciCC of the oral and maxillofacial region

    Pervasive gaps in Amazonian ecological research

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    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

    ATLANTIC EPIPHYTES: a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest

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    Epiphytes are hyper-diverse and one of the frequently undervalued life forms in plant surveys and biodiversity inventories. Epiphytes of the Atlantic Forest, one of the most endangered ecosystems in the world, have high endemism and radiated recently in the Pliocene. We aimed to (1) compile an extensive Atlantic Forest data set on vascular, non-vascular plants (including hemiepiphytes), and lichen epiphyte species occurrence and abundance; (2) describe the epiphyte distribution in the Atlantic Forest, in order to indicate future sampling efforts. Our work presents the first epiphyte data set with information on abundance and occurrence of epiphyte phorophyte species. All data compiled here come from three main sources provided by the authors: published sources (comprising peer-reviewed articles, books, and theses), unpublished data, and herbarium data. We compiled a data set composed of 2,095 species, from 89,270 holo/hemiepiphyte records, in the Atlantic Forest of Brazil, Argentina, Paraguay, and Uruguay, recorded from 1824 to early 2018. Most of the records were from qualitative data (occurrence only, 88%), well distributed throughout the Atlantic Forest. For quantitative records, the most common sampling method was individual trees (71%), followed by plot sampling (19%), and transect sampling (10%). Angiosperms (81%) were the most frequently registered group, and Bromeliaceae and Orchidaceae were the families with the greatest number of records (27,272 and 21,945, respectively). Ferns and Lycophytes presented fewer records than Angiosperms, and Polypodiaceae were the most recorded family, and more concentrated in the Southern and Southeastern regions. Data on non-vascular plants and lichens were scarce, with a few disjunct records concentrated in the Northeastern region of the Atlantic Forest. For all non-vascular plant records, Lejeuneaceae, a family of liverworts, was the most recorded family. We hope that our effort to organize scattered epiphyte data help advance the knowledge of epiphyte ecology, as well as our understanding of macroecological and biogeographical patterns in the Atlantic Forest. No copyright restrictions are associated with the data set. Please cite this Ecology Data Paper if the data are used in publication and teaching events. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ

    Pervasive gaps in Amazonian ecological research

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    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
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