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1.
Eur Heart J ; 43(Suppl 2), 2022.
Article in English | PubMed Central | ID: covidwho-2107433

ABSTRACT

Background: In the ACTION trial, therapeutic anticoagulation did not show benefit on mortality, days of hospitalization and oxygens therapy at 30 days among patients with COVID19. However, this strategy was associated with higher rate of bleeding and a potential reduction in the rate of clinical thrombotic events. The current analysis evaluated which variables were independently associated with both outcomes in order to help the identification of the risk for thrombotic and hemorrhagic events among patients with COVID19. Methods: A total of 615 patients hospitalized with COVID-19 and elevated D-dimer levels were randomly assigned to prophylactic anticoagulation (mainly in-hospital heparin) or a therapeutic strategy that used in-hospital rivaroxaban 20 mg daily for stable patients, or enoxaparin 1 mg/kg twice daily for unstable patients, followed by rivaroxaban through 30 days. One patient withdrew consent and was not included in the analysis. The current analysis tested baseline clinical characteristics and laboratorial exams one by one with independent logistic regressions for the composite of bleeding (major bleeding and clinically relevant nonmajor bleeding) and thrombotic events (venous thromboembolism, myocardial infarction, stroke, systemic embolism, and major adverse limb events). Significant variables (p<0.05) were selected to adjust several multiple logistic models. Final models were chosen based on Akaike information criterion and therapeutic anticoagulation was included in the final model based on the primary results of the trial. Results: The model for bleeding events showed an accuracy of area under the curve (AUC) of 0.635 (table 1) while the model for thrombotic events had an AUC of 0.725 (table 2). Level of respiratory support (especially invasive ventilation) was associated with both outcomes in the multivariable analysis (tables 1 and 2). Beyond respiratory support, level of creatinine and history of coronary disease were also independently associated to the risk of thrombotic events. When the utilization of therapeutic anticoagulation (mainly with rivaroxaban) was included in the multivariable analysis, this variable was strongly associated with higher risk of bleeding (model AUC of 0.718) but was not associated with lower rate of thrombotic events (Tables 1 and 2). Conclusion: Since the variables associated with higher risk of thrombotic events are similar to the variables associated to bleeding complications, the selection of patients with better balance of risk vs. benefit to use therapeutic anticoagulation in COVID-19 still a challenging decision. Coronary disease and creatine may help to identify patients at higher risk of thrombotic complications while the use of therapeutic dose of direct oral anticoagulant increased the risk of bleeding in almost 4 times among patients hospitalized due to COVID19. Funding Acknowledgement: Type of funding sources: Private company. Main funding source(s): Investigator initiated research with financial support of Bayer

2.
Annals of the Rheumatic Diseases ; 81:1873, 2022.
Article in English | EMBASE | ID: covidwho-2009098

ABSTRACT

Background: Systemic lupus erythematosus (SLE) prognosis is determined by a wide range of factors, such as the severity of the disease manifestations, the psychosocial aspects of patients, the proper management of comorbidities, adoption of a healthy lifestyle and adherence to treatment. Studies on chronic diseases highlight the value of patient education to foster treatment adherence and improve prognosis. Objectives: To promote health education to SLE patients and their families providing accessible and comprehensive Scientific information, in order to improve adherence to treatment and the patient's prognosis. Methods: The Waiting Room Project is linked to the Extension Health Care Program for SLE patients and their families of Universidade Federal de Minas Gerais, Brazil, since 2011. A total of 700 patients under SLE treatment at the Rheumatology Unit of the University Hospital are involved. Medical students and rheumatology fellows, altogether, developed high-quality informative texts, with clear content and layman language appropriate for the patient, under the supervision of the rheumatology professors. The texts are illustrated by the team of the Communication Department of the Medical School and medical students, and are printed in a leafet format. The material is handed out to the patients, while they wait for their medical appointment, by the students and the care team. The content of the leafets is discussed, making sure that all the concerns and doubts are properly addressed Results: The Waiting Room Project has produced 17 leafets, addressing different aspects of SLE, comorbidities, and treatment. The texts approach the traditional cardiovascular risk factors (Smoking, Arterial Hypertension, Diabetes, Obesity, Physical Activity), and some medical conditions related to general health and SLE treatment (Sun Protection, Healthy Food, Oral Care, Vaccination, Pregnancy, Osteoporosis). In 2020 and 2021, two leafets about Covid-19 were produced in order to clarify important aspects of this disease, its impact on lupus patients and to solve questions about SLE medications: one regarding the association between Lupus and Covid-19 and another about the treatment of lupus and Covid-19. Other four leafets were produced concerning SLE treatment, including Adherence to Treatment, the use of Antimalarials, Corticos-teroids, and Immunosuppressants. Information about the drugs, general importance on lupus treatment, recommendations and possible adverse events were described. Futhermore, additional content is currently in production with themes such as Intravenous Corticosteroid and Cyclophosphamide, Human Papilloma-virus Infection, Malignant Neoplasm, and specifc cancers frequently affecting women, such as Colorectal Cancer, Cervical Cancer, and Breast Cancer. The leafets are also available online on the Medical School website in Portuguese and in English (medicina.ufmg.br/alo/material-didatico/), on the Minas Gerais Rheumatology Society website (reumatologia.org.br/orientacoes-ao-paciente/), and on the Instagram page @lupusufmg Conclusion: The leafets have been an important source of information and health education for SLE patients and their families, improving student/physician-patient communication. Despite the adversities caused by the coronavirus pandemic, the Waiting Room Project has kept its purpose to make each patient with SLE an agent of their healthcare. Improving the patients' access to evidence-based information must be a goal of healthcare professionals that treat patients with SLE.

3.
International Joint Conference on Neural Networks (IJCNN) ; 2021.
Article in English | Web of Science | ID: covidwho-1612791

ABSTRACT

Modern computer vision techniques applied to radiographic studies are presented as an alternative to assist the specialist in screening and diagnosing the respiratory syndrome (SARS-CoV-2), assisting in clinically severe cases, such as acute pneumonia, acute respiratory failure, organ failure, and death. This work proposes a screening method based on the Internet of Medical Things (IoMT) based on deep learning techniques for the classification of COVID-19 from chest X-ray (CXR) exams. The proposed system called Computer-Aided Remote medical diagnostics System (CARMEDSys) applied to the diagnosis of COVID-19 consists of three main stages: 1) segmentation of the lung region in X-ray images, 2) deep extraction of attributes from the filtered pulmonary area and 3) Prediction patient status with machine learning assistance. The performance of CARMEDSys was evaluated considering twelve different deep neural networks, via the transfer of learning. Besides, the performance of this approach is evaluated against recent studies for the classification of healthy patients, with pneumonia, or with COVID-19. The evaluation methodology considered two different sets of radiographic images, reaching Sensitivity (99.97%), F1-Score (99.43%), and Accuracy (98.89%) promising to distinguish patients with pneumonia and COVID-19 combining DenseNet201 as attribute extractor with Support Vector Machine with radial basis function, exceeding up to 12.31% sensitivity for prediction of COVID-19 recent related works.

4.
Humanidades & Inovacao ; 7(17):465-475, 2020.
Article in Portuguese | Web of Science | ID: covidwho-1001286

ABSTRACT

The present work intends to legally analyze the measures adopted by the Brazilian Judiciary in relation to the prison population in the midst of the COVID-19 pandemic and, therefore, to analyze the norms and the scope of recommendation 62 of the National Council of Justice. In addition, it aims to elucidate the relevance of public law in emergency situations and the civil liability of the State arising from the duty of custody in relation to the prison system.

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