Machine Learning Model to Predict Graft Rejection After Kidney Transplantation.

BACKGROUND: There are few predictive studies about early posttransplant outcomes taking into account baseline and posttransplant variables. The objective of this study was to create a predictive model for 30-day graft rejection using machine learning techniques. METHODS: Retrospective study with 1255 patients undergoing transplant from living and deceased donors at a tertiary health service in Brazil. Recipient, donor, transplantation, and postoperative period data were collected from physical and electronic records. We split the data into derivation (training) and validation (test) datasets. Five supervised machine learning algorithms were developed with this subset of variables in the training set: Simple Logistic Regression, Lasso, Multilayer Perceptron, XGBoost, and Light GBM. RESULTS: There were 147 (12.48%) cases of graft rejection within 30 days of transplantation. The best model was XGBoost (accuracy, 0.839; receiver operating characteristic area under the curve, 0.715; precision, 0.900). The model showed that deceased donor transplantation, glomerulopathy as an underlying disease, and donor's use of vasoactive drugs had more than 20% importance as rejection risk factors. The variables with the greatest predictive values were thymoglobulin induction and delayed graft function. CONCLUSIONS: We fitted a machine learning model to predict 30-day graft rejection after kidney transplantation that reaches a higher accuracy and precision. Machine learning models could contribute to predicting kidney survival using nontraditional approaches.

Medicinal plant use in primary health care: an integrative review. / O uso de plantas medicinais na atenção primária à saúde: revisão integrativa.

Medicinal plant (MP) use supports comprehensiveness of care in Primary Health Care (PHC), enabling appreciation of popular knowledge and self-care. This integrative literature review aims to analyze researches that approach the insertion of using MP in PHC. PICO strategy was used as a guideline in search of evidence, reuniting 18 articles published between January 2015 and August 2020, in the Virtual Health Library and PubMed databases. The variables of analysis were knowledge of PHC healthcare professionals about MP and associated policies, MP use by its users, highlighting their profile, the reasons that lead to the use and lack of security in MP use. The results show insufficient knowledge of healthcare professionals about Integrative and Complementary Practices policies and the medicinal uses of plants. The main users are women, elderly, with low income and education, either in Brazil or other countries. Regarding safety in MP use, frequently there is no correct identification of species, its origin, its preparation and the appropriate dose for each case. Finally, failure to approach these contents during training of healthcare professionals generates less knowledge, less research and more prejudice due to lack of information, impairing incentive and dissemination to the community.

O uso de plantas medicinais (PM) favorece a integralidade do cuidado na atenção primária à saúde (APS), valorizando o saber popular e o autocuidado. Esta revisão integrativa de literatura objetiva analisar estudos sobre a inserção do uso de PM na APS. A estratégia PICO norteou a busca de evidências, reunindo 18 artigos publicados de janeiro de 2015 a agosto de 2020 nos bancos de dados Biblioteca Virtual de Saúde e PubMed. As variáveis de análise foram o conhecimento dos profissionais da saúde da APS sobre PM e políticas associadas, o uso de PM pelos usuários, destacando seu perfil, fatores que favorecem o uso e a falta de segurança no uso de PM. A literatura aponta insuficiência de conhecimento dos profissionais de saúde sobre as políticas de práticas integrativas e complementares e o uso de plantas para fins medicinais. Os principais usuários são mulheres, idosas, com baixa renda e escolaridade, tanto no Brasil quanto em outros países. Sobre a segurança no uso de PM, frequentemente não há correta identificação de espécie, origem, preparo e dose adequada para cada caso. Por fim, a não abordagem desses conteúdos durante a formação de profissionais da saúde gera menos conhecimento, menos pesquisas e mais preconceito por falta de informação, prejudicando o incentivo e divulgação à comunidade.

O uso de plantas medicinais na atenção primária à saúde: revisão integrativa / Medicinal plant use in primary health care: an integrative review

Resumo O uso de plantas medicinais (PM) favorece a integralidade do cuidado na atenção primária à saúde (APS), valorizando o saber popular e o autocuidado. Esta revisão integrativa de literatura objetiva analisar estudos sobre a inserção do uso de PM na APS. A estratégia PICO norteou a busca de evidências, reunindo 18 artigos publicados de janeiro de 2015 a agosto de 2020 nos bancos de dados Biblioteca Virtual de Saúde e PubMed. As variáveis de análise foram o conhecimento dos profissionais da saúde da APS sobre PM e políticas associadas, o uso de PM pelos usuários, destacando seu perfil, fatores que favorecem o uso e a falta de segurança no uso de PM. A literatura aponta insuficiência de conhecimento dos profissionais de saúde sobre as políticas de práticas integrativas e complementares e o uso de plantas para fins medicinais. Os principais usuários são mulheres, idosas, com baixa renda e escolaridade, tanto no Brasil quanto em outros países. Sobre a segurança no uso de PM, frequentemente não há correta identificação de espécie, origem, preparo e dose adequada para cada caso. Por fim, a não abordagem desses conteúdos durante a formação de profissionais da saúde gera menos conhecimento, menos pesquisas e mais preconceito por falta de informação, prejudicando o incentivo e divulgação à comunidade.

Abstract Medicinal plant (MP) use supports comprehensiveness of care in Primary Health Care (PHC), enabling appreciation of popular knowledge and self-care. This integrative literature review aims to analyze researches that approach the insertion of using MP in PHC. PICO strategy was used as a guideline in search of evidence, reuniting 18 articles published between January 2015 and August 2020, in the Virtual Health Library and PubMed databases. The variables of analysis were knowledge of PHC healthcare professionals about MP and associated policies, MP use by its users, highlighting their profile, the reasons that lead to the use and lack of security in MP use. The results show insufficient knowledge of healthcare professionals about Integrative and Complementary Practices policies and the medicinal uses of plants. The main users are women, elderly, with low income and education, either in Brazil or other countries. Regarding safety in MP use, frequently there is no correct identification of species, its origin, its preparation and the appropriate dose for each case. Finally, failure to approach these contents during training of healthcare professionals generates less knowledge, less research and more prejudice due to lack of information, impairing incentive and dissemination to the community.

Rastreamento de déficit cognitivo em idosos participantes da Campanha de Prevenção ao Câncer de Pele / Cognitive Impairment screening in elderly patients during a Skin Cancer Prevention Campaign

Introdução e objetivo: a Campanha Nacional de Prevenção ao Câncer de Pele, promovida pela SBD, é um evento anual de conscientização da população sobre diagnóstico precoce e prevenção dessa doença. Considerando o perfil dos participantes, em grande parte idosos, e seu caráter educativo, é válido identificar a proporção de pessoas com possível prejuízo cognitivo, de modo a aprimorar as informações transmitidas. Métodos: neste estudo, realizamos triagem cognitiva em participantes da Campanha de 2018 usando escore 10-point cognitive screener, incluindo indivíduos ≥ 60 anos. Foram excluídos pacientes com dificuldades comunicativas e não anuentes. Resultados: foram entrevistados 66 participantes com idade mediana de 68 anos (p25-p75:63-73), sendo 42 (64%) do sexo feminino. Desses, 24 (36%) possuíam ensino fundamental incompleto e 13 (20%) apresentavam doença neurológica ou psiquiátrica. O escore cognitivo 10-CS bruto e corrigido pela escolaridade apresentou mediana de 8 (6-9). Apresentavam escores ajustados menores que oito 25 entrevistados (38%), indicando déficit cognitivo possível, e seis (9%) apresentaram déficit cognitivo provável. Tal prejuízo cognitivo associou-se a antecedentes neurológicos e baixa escolaridade. Conclusões: apesar de abranger todas as idades, a Campanha prioriza populações de risco, incluindo idosos. Assim, as informações e a didática dessas campanhas devem adequar-se ao perfil dos ouvintes

Introduction and objective: The Campanha Nacional de Prevenção ao Câncer de Pele (National Skin Cancer Prevention Campaign), promoted by SBD, is an annual event to inform about the early diagnosis and prevention of skin cancer. Considering the participants' profile, composed mostly of older adults, and the campaign educational goals, it's opportune to identify the proportion of people with cognitive impairment to improve communication. Methods: We perform a cognitive screening of 2018 Campaign participants using a "10-point cognitive screener" score. The participants included were ≥ 60 years. We excluded those who were unable to communicate or denied consenting. Results: The study interviewed 66 participants. The median age was 68 years (p25-p75:63-73), and 42 (64%) were women. Twenty-four participants (36%) had some elementary school, and 13 (20%) had a neurological or psychiatric disease. The crude and adjusted by schooling 10-CS scores had a median of 8 (6-9). Twenty-five of the interviewed patients (38%) had adjusted score below eight, indicating cognitive impairment, and six (9%) had a probable impairment. The cognitive deficit was associated with a history of neurological disease and low schooling. Conclusions: Despite covering all ages, the campaign prioritizes the risk population, including older adults. Therefore, campaign volunteers should adapt the communication to participants' profile