Instagram como instrumento de educação em saúde e cidadania para transexuais: relato de experiência

The aim of this study is to reflect on the power of Instagram© as an instrument of education in health and citizenship. This is an experience report of an extension project aimed at the LGBT population, with an emphasis on transgender people in which it analyzes Instagram© as a means of disseminating knowledge. Educational posts were made on the platform, related to meeting the demands in nursing care for the LGBT population, with a focus on transsexuals. Currently the “Transligado” profile has 341 followers, 40 publications, following the direction of health education. This was generated from meetings, studies related to engagement in social media and adaptation of the language of the scientific environment to a dynamic format that is sensitive to the different audiences that the platform reaches. Thus, as an extension project, it fulfills the triad assistance, teaching and research. Its relevance is justified by the difficulty, lack of knowledge and prejudice among Nursing professionals about the health and care demands of transgender people, thus hindering access to health and quality care for this population.O objetivo deste estudo é refletir sobre a potência do Instagram© como instrumento de educação em saúde e cidadania. Trata-se de um relato de experiência de um projeto extensionista voltado para a população LGBT, com ênfase nas pessoas transexuais em que analisa o Instagram© como meio de disseminação de conhecimento. Foram realizadas postagens de cunho educativo na plataforma, relativas ao atendimento das demandas no cuidado de enfermagem para a população LGBT, com foco nos transexuais. Atualmente o perfil “Transligado” possui 341 seguidores, 40 publicações, seguindo a direção da educação em saúde. Isso foi gerado a partir de reuniões, estudos referentes à engajamento em mídias sociais e adaptação da linguagem do meio científico para um formato dinâmico e sensível aos diferentes públicos que a plataforma alcança. Assim, enquanto projeto extensionista, cumpre a tríade assistência, ensino e pesquisa. Sua relevância é justificada pela dificuldade, desconhecimento e preconceito entre profissionais de Enfermagem acerca das demandas de saúde e cuidados das pessoas transexuais, dificultando assim o acesso à saúde e o atendimento de qualidade à essa população

Instagram como instrumento de educação em saúde e cidadania para transexuais: relato de experiência

The aim of this study is to reflect on the power of Instagram© as an instrument of education in health and citizenship. This is an experience report of an extension project aimed at the LGBT population, with an emphasis on transgender people in which it analyzes Instagram© as a means of disseminating knowledge. Educational posts were made on the platform, related to meeting the demands in nursing care for the LGBT population, with a focus on transsexuals. Currently the “Transligado” profile has 341 followers, 40 publications, following the direction of health education. This was generated from meetings, studies related to engagement in social media and adaptation of the language of the scientific environment to a dynamic format that is sensitive to the different audiences that the platform reaches. Thus, as an extension project, it fulfills the triad assistance, teaching and research. Its relevance is justified by the difficulty, lack of knowledge and prejudice among Nursing professionals about the health and care demands of transgender people, thus hindering access to health and quality care for this population.O objetivo deste estudo é refletir sobre a potência do Instagram© como instrumento de educação em saúde e cidadania. Trata-se de um relato de experiência de um projeto extensionista voltado para a população LGBT, com ênfase nas pessoas transexuais em que analisa o Instagram© como meio de disseminação de conhecimento. Foram realizadas postagens de cunho educativo na plataforma, relativas ao atendimento das demandas no cuidado de enfermagem para a população LGBT, com foco nos transexuais. Atualmente o perfil “Transligado” possui 341 seguidores, 40 publicações, seguindo a direção da educação em saúde. Isso foi gerado a partir de reuniões, estudos referentes à engajamento em mídias sociais e adaptação da linguagem do meio científico para um formato dinâmico e sensível aos diferentes públicos que a plataforma alcança. Assim, enquanto projeto extensionista, cumpre a tríade assistência, ensino e pesquisa. Sua relevância é justificada pela dificuldade, desconhecimento e preconceito entre profissionais de Enfermagem acerca das demandas de saúde e cuidados das pessoas transexuais, dificultando assim o acesso à saúde e o atendimento de qualidade à essa população

At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods

By September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, resulting in over 6.5 million deaths. COVID-19 mortality risk estimators are often, however, developed with small unrepresentative samples and with methodological limitations. It is highly important to develop predictive tools for pulmonary embolism (PE) in COVID-19 patients as one of the most severe preventable complications of COVID-19. Early recognition can help provide life-saving targeted anti-coagulation therapy right at admission. Using a dataset of more than 800,000 COVID-19 patients from an international cohort, we propose a cost-sensitive gradient-boosted machine learning model that predicts occurrence of PE and death at admission. Logistic regression, Cox proportional hazards models, and Shapley values were used to identify key predictors for PE and death. Our prediction model had a test AUROC of 75.9% and 74.2%, and sensitivities of 67.5% and 72.7% for PE and all-cause mortality respectively on a highly diverse and held-out test set. The PE prediction model was also evaluated on patients in UK and Spain separately with test results of 74.5% AUROC, 63.5% sensitivity and 78.9% AUROC, 95.7% sensitivity. Age, sex, region of admission, comorbidities (chronic cardiac and pulmonary disease, dementia, diabetes, hypertension, cancer, obesity, smoking), and symptoms (any, confusion, chest pain, fatigue, headache, fever, muscle or joint pain, shortness of breath) were the most important clinical predictors at admission. Age, overall presence of symptoms, shortness of breath, and hypertension were found to be key predictors for PE using our extreme gradient boosted model. This analysis based on the, until now, largest global dataset for this set of problems can inform hospital prioritisation policy and guide long term clinical research and decision-making for COVID-19 patients globally. Our machine learning model developed from an international cohort can serve to better regulate hospital risk prioritisation of at-risk patients

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use