Análise imuno-histoquímica de cães naturalmente infectados pelo parvovírus canino Immunohistochemical analysis of dogs infected naturally by canine parvovirus

Noventa e seis cães com lesões macroscópicas sugestivas de parvovirose canina foram necropsiados no Setor de Patologia Veterinária da Universidade Federal do Rio Grande do Sul no período de março de 2005 a novembro de 2006. Tecidos destes caninos foram analisados através de histologia e imuno-histoquímica. Aumento das placas de Peyer do intestino delgado e hiperemia da mucosa e serosa intestinal foram os achados macroscópicos mais observados. Microscopicamente, foi visualizada enterite necrótica em 77% dos cães. Em 17,7% as alterações histológicas do intestino delgado ficaram prejudicadas pela autólise, dificultando a interpretação. O teste de imuno-histoquímica em cortes de intestino delgado, linfonodo mesentérico, timo, baço, tonsila, língua e medula óssea de todos os 96 casos, foi positivo em 91,6% (88/96) dos casos. O intestino delgado demonstrou o melhor resultado, obtendo-se marcações em 77% (74/96) dos casos. A análise final do exame paramétrico de Fisher demonstrou uma fraca associação entre autólise intestinal e resultado positivo da imuno-histoquímica onde as chances de um intestino delgado autolisado histologicamente apresentar resultado positivo na imuno-histoquímica é 0,33 vezes menor (OR=0,33; 95%IC: 0,10-1,17) quando comparada a um intestino delgado não autolisado.<br>Ninety-six dogs with gross lesions suggestive of canine parvovirus infection were selected and necropsied in the Faculty of Veterinary Medicine, Universidade Federal do Rio Grande do Sul, between March 2005 and November 2006. The main gross lesions were enlargement of the Peyer's patches in the small intestine and hyperemia in the intestinal mucosa and serosa. Microscopically, the small intestine showed necrotizing enteritis in 77% (74/96) of the dogs examined. However, in 17.7% of the histological evaluation in the small intestine were damaged due to autolytic changes making it difficult to obtain an appropriate interpretation. The immunohistochemistry test was performed in tissues of small intestine, mesenteric lymph nodes, thymus, spleen, tonsils, tongue, and bone marrow in all the 96 selected cases. Parvovirus antigen was detected in 91.6% (88/96) of the dogs necropsied. The best result of the IHC test was seen in samples of small intestine which was positive in 77% (74/96) of the cases. The statistical analysis (Fisher test) showed a weak association between intestinal autolysis and positive result of the IHC test. The chance of the autolysed intestine showing a positive result in the immunohistochemistry test was 0.33 less (OR=0.33, 95% CI:0.10-1.17) when compared with small intestine not autolysed

The ASOS Surgical Risk Calculator: development and validation of a tool for identifying African surgical patients at risk of severe postoperative complications

Background: The African Surgical Outcomes Study (ASOS) showed that surgical patients in Africa have a mortality twice the global average. Existing risk assessment tools are not valid for use in this population because the pattern of risk for poor outcomes differs from high-income countries. The objective of this study was to derive and validate a simple, preoperative risk stratification tool to identify African surgical patients at risk for in-hospital postoperative mortality and severe complications. Methods: ASOS was a 7-day prospective cohort study of adult patients undergoing surgery in Africa. The ASOS Surgical Risk Calculator was constructed with a multivariable logistic regression model for the outcome of in-hospital mortality and severe postoperative complications. The following preoperative risk factors were entered into the model; age, sex, smoking status, ASA physical status, preoperative chronic comorbid conditions, indication for surgery, urgency, severity, and type of surgery. Results: The model was derived from 8799 patients from 168 African hospitals. The composite outcome of severe postoperative complications and death occurred in 423/8799 (4.8%) patients. The ASOS Surgical Risk Calculator includes the following risk factors: age, ASA physical status, indication for surgery, urgency, severity, and type of surgery. The model showed good discrimination with an area under the receiver operating characteristic curve of 0.805 and good calibration with c-statistic corrected for optimism of 0.784. Conclusions: This simple preoperative risk calculator could be used to identify high-risk surgical patients in African hospitals and facilitate increased postoperative surveillance. © 2018 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.Medical Research Council of South Africa gran