2 research outputs found

    The union between technical knowledge and activism as a tool to save the donkey

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    Este caso relata a experiência da articulação entre profissionais da área jurídica com a expertise daqueles que atuam nas diversas áreas da ciência animal e os militantes do ativismo da causa animal. O relato de caso toma por base a experiência ocorrida no interior do estado da Bahia, no Brasil, com um rebanho de jumentos, alvo de grupos estrangeiros interessados na exploração de pele. Os animais foram salvos de maus-tratos e do abate graças ao eficiente trabalho jurídico, auxiliado por várias áreas da ciência animal e apoiado politicamente pelo movimento de ativistas da causa animal. A união entre o ativismo e o conhecimento técnico é poderosa ferramenta capaz de estabelecer relações, conexões e promover a divulgação do conhecimento na comunidade e, principalmente, salvar a vida de animais humanos e animais não humanos.This case report presents the importance of articulation between legal professionals with the expertise of those who work in different areas of animal science and the activists of animal cause. The report is based on the experience that took place in the interior of the State of Bahia, with a donkey herd, the target of foreign groups interested in donkey hide exploration. The animals were rescued from mistreatment and slaughter, thanks to efficient legal work, aided by several areas of the veterinary sciences, and supported politically by the movement of animal activists. The union between activism and technical knowledge in the areas of health, breeding, nutrition, animal welfare, and legal knowledge is a tool that should not be overlooked. On the contrary, it has proved effective, confirming a strong and innovative link capable of saving animals, promoting their welfare, generating technical knowledge, and new and promising proposals for intersectoral action

    Development and validation of the MMCD score to predict kidney replacement therapy in COVID-19 patients

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    Abstract Background Acute kidney injury (AKI) is frequently associated with COVID-19, and the need for kidney replacement therapy (KRT) is considered an indicator of disease severity. This study aimed to develop a prognostic score for predicting the need for KRT in hospitalised COVID-19 patients, and to assess the incidence of AKI and KRT requirement. Methods This study is part of a multicentre cohort, the Brazilian COVID-19 Registry. A total of 5212 adult COVID-19 patients were included between March/2020 and September/2020. Variable selection was performed using generalised additive models (GAM), and least absolute shrinkage and selection operator (LASSO) regression was used for score derivation. Accuracy was assessed using the area under the receiver operating characteristic curve (AUC-ROC). Results The median age of the model-derivation cohort was 59 (IQR 47–70) years, 54.5% were men, 34.3% required ICU admission, 20.9% evolved with AKI, 9.3% required KRT, and 15.1% died during hospitalisation. The temporal validation cohort had similar age, sex, ICU admission, AKI, required KRT distribution and in-hospital mortality. The geographic validation cohort had similar age and sex; however, this cohort had higher rates of ICU admission, AKI, need for KRT and in-hospital mortality. Four predictors of the need for KRT were identified using GAM: need for mechanical ventilation, male sex, higher creatinine at hospital presentation and diabetes. The MMCD score had excellent discrimination in derivation (AUROC 0.929, 95% CI 0.918–0.939) and validation (temporal AUROC 0.927, 95% CI 0.911–0.941; geographic AUROC 0.819, 95% CI 0.792–0.845) cohorts and good overall performance (Brier score: 0.057, 0.056 and 0.122, respectively). The score is implemented in a freely available online risk calculator ( https://www.mmcdscore.com/ ). Conclusions The use of the MMCD score to predict the need for KRT may assist healthcare workers in identifying hospitalised COVID-19 patients who may require more intensive monitoring, and can be useful for resource allocation
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