Lei Geral de Proteção de Dados e o controle social da saúde / General Data Protection Law and the social control of health

A proteção dos dados pessoais é um tema crucial para o controle social da saúde nesses tempos de capitalismo de vigilância em que há uma troca constante da privacidade dos indivíduos por serviços. Os capítulos dessa publicação são fruto de autores especialistas e convidados que participaram do Seminário online e gratuito intitulado "LGPD na Saúde: o CNS como articulador dos interesses da sociedade brasileira em Defesa da Vida", realizado em 2021. O evento foi promovido pelo Conselho Nacional de Saúde e nove mesas redondas conformaram três eixos de discussão: Acesso Universal à Saúde na Sociedade da Informação; Governo, Transformação Digital, Cidadania e o Controle Social da Saúde e Aspectos da Saúde Digital e da Ética em Pesquisa à Luz da LGPD. Enfim, esta coletânea visa contribuir com o cenário da governança das informações em saúde e a literacia dos atores do controle social na transição digital da saúde, suas práticas e tecnologias emergentes associadas.

Introdução à análise de dados em saúde com Python / Introduction to healthcare data analysis with Python

Este eBook foi elaborado no contexto do curso de capacitação Introdução à Análise de Dados em Saúde com Python ofertado pelo Centro de Inovação em Inteligência Artificial para Saúde. O curso tem como objetivo introduzir o estudo exploratório de bases de dados de saúde, com a utilização do Python. Neste eBook, procura-se apresentar uma abordagem preliminar à Ciência de Dados, que explora e descreve um conjunto de dados com técnicas da estatística descritiva e inferencial por meio da linguagem de programação Python. O público alvo que pretende-se atingir caracteriza-se por profissionais de saúde, alunos de graduação e pós-graduação, docentes e pesquisadores da área das ciências da saúde, exatas ou demais interessados em utilizar os recursos computacionais para análise de bases de dados em saúde. A linguagem Python tem se destacado como uma ferramenta poderosa para análise de dados em saúde, possuindo uma ampla gama de bibliotecas e recursos, o Python pode ser usado para limpar, processar, analisar e visualizar dados de saúde. Além disso, a comunidade de utilizadores da linguagem Python é muito colaborativa, com muitos recursos disponíveis, incluindo documentação, tutoriais e fóruns de suporte. O conteúdo foi agrupado em conceitos iniciais sobre a utilização dos dados em saúde, introdução ao Python para utilização de dados, conceitos de limpeza e tratamento de dados, aplicação da estatística descritiva com os sumários estatísticos e gráficos, técnicas de amostragens, aplicação da estatística inferencial com os testes de hipótese, de associação, de médias, de medianas e correlações, além de explorar a estilização de gráficos.

Atualidades e perspectivas futuras da comissão consultiva em avaliação psicológica / Current affairs and future perspectives of the consultative commission on psychological assessment (CCAP) / Actualidades y perspectivas de futuro de la comisión consultiva en evaluación psicológica

A Comissão Consultiva em Avaliação Psicológica (CCAP), atrelada ao Sistema de Avaliação de Testes Psicológicos (SATEPSI) do Conselho Federal de Psicologia (CFP), tem como objetivos emitir pareceres acerca de solicitações advindas da avaliação psicológica(AP), elaborar e propor atualizações de documentos técnicos e normativos do CFP relativos à AP, elaborar e propor diretrizes para o ensino e formação continuada em AP, conduzir o processo de avaliação dos instrumentos submetidos ao SATEPSI e discutir temas e propor ações no âmbito da AP. Nos últimos 20 anos, a CCAP vem buscando atender a esses objetivos, indicando novos caminhos para a área. Nesse sentido, este artigo tem como objetivo apresentar as principais atualidades e movimentos da CCAP, indicando caminhos possíveis e perspectivas futuras para a área de AP. São discutidas as ações atuais que vêm sendo desenvolvidas pela CCAP, bem como as ações futuras delineadas que buscam promover uma AP cada vez mais democrática. Concluímos que a AP é uma prática do(a) psicólogo(a) que deve ser operacionalizada com compromisso ético, atrelada aos direitos humanos e à justiça, com embasamento científico e alinhada às mudanças sociais.(AU)

The Consultative Commission on Psychological Assessment (CCAP), affiliated with the Psychological Test Evaluation System under the Federal Council of Psychology (CFP), has the following objectives: to provide expert opinions on requests stemming from psychological assessments (PA), to draft and propose updates to the CFP technical and normative documents pertaining to PA, to formulate and recommend guidelines for education and ongoing professional development in PA, to oversee the evaluation process of instruments submitted to SATEPSI, and to engage in discussions and propose initiatives within the PA. Over the past two decades, CCAP has diligently worked to achieve these goals, charting new avenues in the field. In this context, this study aims to describe the most current developments and initiatives of CCAP and outline prospective directions and future outlooks for the PA. This study delves into the current initiatives undertaken by CCAP and the prospective actions delineated to foster a progressively more inclusive PA. Thus, we claim that PA is a practice inherent to psychologists that demands ethical commitment, alignment with human rights and justice, a solid scientific foundation, and adaptation to evolving social dynamics.(AU)

La Comisión Consultiva en Evaluación Psicológica (CCAP), vinculada al Sistema de Evaluación de Pruebas Psicológicas (SATEPSI) del Consejo Federal de Psicología (CFP), tiene como objetivo emitir opinión técnica sobre solicitudes derivadas de la evaluación psicológica (EP), elaborar y proponer actualizaciones de documentos técnicos y normativos del CFP relacionados con EP, desarrollar y proponer lineamientos para la enseñanza y la formación continua en EP, conducir el proceso de evaluación de los instrumentos presentados al SATEPSI y discutir temas y proponer acciones en el ámbito de EP. Durante los últimos veinte años, la CCAP ha buscado alcanzar estos objetivos indicando nuevos caminos para el área. En este sentido, este artículo tiene como objetivo presentar las principales actualidades y movimientos de la CCAP indicando posibles caminos y perspectivas de futuro para el área de EP. Se discuten las acciones actuales que ha desarrollado la CCAP, así como las acciones futuras perfiladas que buscan promover una EP cada vez más democrática. Se concluye que la EP es una práctica del psicólogo que debe ponerse en práctica con compromiso ético, vinculada a los derechos humanos y la justicia, con base científica y alineada con los cambios sociales.(AU)

Population genetics and molecular identification of Crocodylus acutus and C. moreletii (Crocodilia: Crocodylidae) in captive and wildlife populations / Genética de poblaciones e identificación molecular de Crocodylus acutus y C. moreletii (Crocodilia: Crocodylidae) en poblaciones de cautiverio y de vida libre

Abstract Introduction: There is low evidence of genetic diversity and hybridization processes within Crocodylus acutus and C. moreletii populations. Objetive: To evaluate genetic diversity and some phylogenetic relationships in wild and captive populations of C. acutus and C. moreletii using the Barcode of Life Data System (COX1, cytochrome C oxidase subunit 1 gene). Methods: 28 individuals phenotypically like C. acutus located in the state of Guerrero, Oaxaca and Quintana Roo were sampled, as well as animals belonging to C. moreletii located in the states of Tabasco, Campeche, and Quintana Roo. 641 base pairs of nucleotide sequence from COX1 were used to obtain the haplotype and nucleotide diversity per population, and a phylogenetic and network analysis was performed. Results: Evidence of hybridization was found by observing C. moreletti haplotypes in animals phenotypically determined as C. acutus, as well as C. acutus haplotypes in animals classified as C. moreletti. Low haplotypic diversity was observed for C. acutus (0.455 ± 0.123) and for C. moreletii (0.505 ± 0.158). A phylogenetic tree was obtained in which the sequences of C. acutus and C. moreletii were grouped into two well-defined clades. Organisms identified phenotypically as C. acutus but with C. moreletii genes were separated into a different clade within the clade of C. moreletii. Conclusions: There are reproductive individuals with haplotypes different from those of the species. This study provides a small but significant advance in the genetic knowledge of both crocodile species and the use of mitochondrial markers, which in this case, the COX1 gene allowed the detection of hybrid organisms in wild and captive populations. Conservation efforts for both species of crocodiles should prevent the crossing of both threatened species and should require the genetic identification of pure populations, to design effective conservation strategies considering the possibility of natural hybridization in areas of sympatry.

Resumen Introducción: Existe poca evidencia de la diversidad genética y los procesos de hibridación dentro de las poblaciones de Crocodylus acutus y C. moreletii. Objetivo: Evaluar la diversidad genética y algunas relaciones filogenéticas en poblaciones silvestres y cautivas de C. acutus y C. moreletii utilizando el Sistema de Código de Barras de la vida (COX1, subunidad I del gen del citocromo C oxidasa). Métodos: Se muestrearon 28 individuos fenotípicamente similares a C. acutus ubicados en los estados de Guerrero, Oaxaca y Quintana Roo, así como animales pertenecientes a C. moreletii ubicados en los estados de Tabasco, Campeche y Quintana Roo. Se utilizaron 641 pares de bases de la secuencia de nucleótidos de la subunidad I del gen del citocromo C oxidasa para obtener el haplotipo y la diversidad de nucleótidos por población, y se realizó un análisis filogenético y de redes. Resultados: Se encontró evidencia de hibridación al observar haplotipos de C. moreletti en animales determinados fenotípicamente como C. acutus, así como haplotipos de C. acutus en animales clasificados como C. moreletti. Se observó una baja diversidad haplotípica para C. acutus (0.455 ± 0.123) y para C. moreletii (0.505 ± 0.158). Se obtuvo un árbol filogenético en el que las secuencias propias de C. acutus y C. moreletii se agruparon en dos grandes y bien definidos clados. Los organismos identificados fenotípicamente como C. acutus pero con genes de C. moreletii se separaron en un clado diferente dentro del clado de C. moreletii. Conclusiones: Existen individuos reproductores con haplotipos diferentes a los de la especie. Este estudio aporta un pequeño pero significativo avance en el conocimiento genético tanto de las especies de cocodrilos como del uso de marcadores mitocondriales, que, en este caso, el gen COX1 permitió la detección de organismos híbridos en poblaciones silvestres y cautivas. Los esfuerzos de conservación para ambas especies de cocodrilos deben evitar el cruce de ambas especies amenazadas y deben requerir la identificación genética de poblaciones puras, para diseñar estrategias de conservación efectivas considerando la posibilidad de hibridación natural en áreas de simpatría.

Can Bar Code Scanning Improve Data Capture in a National Register? Findings from the Irish National Orthopaedic Register.

BACKGROUND: The Irish National Orthopaedic Register (INOR) provides a national mechanism for managing data on THA and TKA in Ireland, including a detailed implant record populated by intraoperative implant bar code scanning. It is critically important that implant details are recorded accurately for longitudinal outcome studies, implant recalls, and revision surgery planning. Before INOR's 2014 launch, Irish hospitals maintained separate, local institutional arthroplasty databases. These individual databases typically took the form of hardcopy operating room (OR) logbooks with handwritten patient details alongside the descriptive stickers from the implant packaging and/or individual institution electronic records using manual electronic implant data input. With the introduction of the INOR, a single, unifying national database was established with the ability to instead collect implant data using bar code scanning at time of implant unpackaging in the OR. We observed that bar code data entry represented a novel and potentially substantial change to implant recording methods at our institution and so sought to examine the potential effect on implant data quality. QUESTIONS/PURPOSES: We compared the new bar code scanning method of implant data collection used by the INOR to the previously employed recording methods at our institution (in our case, the previous methods included both an electronic operation note database [Bluespier software] and a duplicate hardcopy OR logbook) and asked (1) Does bar code scanning improve the completeness of implant records? (2) Does bar code scanning improve the accuracy of implant records? METHODS: Although the INOR was launched in 2014, our institution went live with it in 2019. To avoid any potential recording issues that may have occurred during the 2019 introduction of the novel system, a clear period before the introduction of INOR was selected at our institution to represent an era of manual data input to Bluespier software: July 2018. Although we initially aimed for 2 months of data from July 1, 2018, to August 31, 2018 (n = 247), we decided to proceed to 250 consecutive, primary THAs or TKAs for clarity of results. No procedure meeting these criteria was excluded. A second recent period, January 2021, was identified to represent an era of bar code data input; 250 consecutive, primary THAs or TKAs were also included from this date (to February 15, 2021). No case meeting these criteria was excluded. A total of 4244 implant parameters from these 500 primary THAs or TKAs were manually cross-referenced for missing or incorrect data. Eleven THA and six TKA parameters were chosen for comparison, including implant names and component sizes. For each case, either the 2018 Bluespier electronic record or the 2021 INOR electronic record was manually interrogated, and implant details were recorded by two authors before they were compared against the duplicate record for every case (the reference-standard OR logbook containing the corresponding implant product stickers) for both completeness and accuracy. Completeness was defined binarily as the implant parameter being either present or absent; we did likewise for accuracy, either that parameter was correct or incorrect. The OR logbooks were chosen as the reference standard because we felt the risk of product stickers containing errors (inaccuracies) was negligible, and in our collective experience, missing stickers (incompleteness) has not been encountered. Logbook case completeness was also confirmed by comparison to our inpatient management system. RESULTS: With the introduction of the automated bar code data entry in the INOR, the proportion of missing data declined from 7% (135 of 2051) to 0% (0 of 2193), and the proportion of incorrectly recorded implant parameters declined from 2% (45 of 2051) to 0% (0 of 2193). The proportion of procedures with entirely accurate implant records rose from 53% (133 of 250) to 100% (250 of 250). CONCLUSION: The completeness and accuracy of implant data capture was improved after the introduction of a contemporary electronic national arthroplasty registry that utilizes bar code data entry. CLINICAL RELEVANCE: Based on the results of this study, other local and national registers may consider bar code data entry in the OR to achieve excellent implant data quality. Future studies may examine implant data quality at a national level to validate the bar code-populated data of the INOR.

SpotClean adjusts for spot swapping in spatial transcriptomics data.

Spatial transcriptomics is a powerful and widely used approach for profiling the gene expression landscape across a tissue with emerging applications in molecular medicine and tumor diagnostics. Recent spatial transcriptomics experiments utilize slides containing thousands of spots with spot-specific barcodes that bind RNA. Ideally, unique molecular identifiers (UMIs) at a spot measure spot-specific expression, but this is often not the case in practice due to bleed from nearby spots, an artifact we refer to as spot swapping. To improve the power and precision of downstream analyses in spatial transcriptomics experiments, we propose SpotClean, a probabilistic model that adjusts for spot swapping to provide more accurate estimates of gene-specific UMI counts. SpotClean provides substantial improvements in marker gene analyses and in clustering, especially when tissue regions are not easily separated. As demonstrated in multiple studies of cancer, SpotClean improves tumor versus normal tissue delineation and improves tumor burden estimation thus increasing the potential for clinical and diagnostic applications of spatial transcriptomics technologies.

Standardization of cellular therapy terminology, coding and labeling: a review.

The 1990s saw rapid growth in international activity in hematopoietic cell transplantation. As national donor registries were established and international collaboration increased, a need to transfer cellular therapy products across national borders emerged. A lack of international standards for identification, terminology and labeling resulted in significant challenges for import and export. Twenty years of effort by a large group of experts supported by professional societies and accreditation bodies has today achieved a high degree of standardization. This review highlights the main landmarks in this journey and serves as a reminder of the importance of taking the "long view" when working toward international standardization. It demonstrates the need for continual maintenance and enhancement of standards to meet the changing needs of the cell therapy industry and highlights recent developments in ISBT 128.

Barcode Medication Administration Software Technology Use in the Emergency Department and Medication Error Rates.

High-quality care during and after a medication process requires complete and accurate medication administration documentation. Veterans Affairs Medical Centers use barcode medication administration technology to document medication administered to Veterans throughout the inpatient and long-term care areas of the hospital. Barcode medication administration has demonstrated a reduction in medication administration errors; however, it is not commonly used in Veterans Affairs Medical Center clinical areas or emergency departments. During this study, only 39% of the recorded 165 Veterans Affairs Medical Centers that use barcode medication administration technology in their inpatient areas stated that barcode medication administration was also used in clinical areas of the hospital. Of these facilities, only 14% had implemented barcode medication administration in their emergency department. This study evaluated medication error rates before and after barcode medication administration technology was implemented in the emergency department of a Veterans Affairs Medical Center located in the Southeastern region of the United States. A total of 258 charts, 129 before and 129 after barcode medication administration technology implementation in the emergency department, were reviewed for Veterans who were evaluated and ordered to receive medication in the emergency department before transferring to an inpatient unit at the Veterans Affairs Medical Center where this study was conducted. A quantitative nonexperimental descriptive comparison demonstrated a 10.8% reduction in medication error rates and 21% reduction in the average number of medications given in error per chart after barcode medication administration technology was implemented in the emergency department. In addition to the study outcome, a potentially unsafe workaround was identified. Stakeholders that use barcode medication administration technology in their emergency departments would benefit from assessing the association between barcode medication administration use and medication administration error rates. However, assessing whether barcode medication administration technology remains useful and continues to provide safe medication administration practices for our Veterans is also recommended.

A data flow process for confidential data and its application in a health research project.

BACKGROUND: The use of linked healthcare data in research has the potential to make major contributions to knowledge generation and service improvement. However, using healthcare data for secondary purposes raises legal and ethical concerns relating to confidentiality, privacy and data protection rights. Using a linkage and anonymisation approach that processes data lawfully and in line with ethical best practice to create an anonymous (non-personal) dataset can address these concerns, yet there is no set approach for defining all of the steps involved in such data flow end-to-end. We aimed to define such an approach with clear steps for dataset creation, and to describe its utilisation in a case study linking healthcare data. METHODS: We developed a data flow protocol that generates pseudonymous datasets that can be reversibly linked, or irreversibly linked to form an anonymous research dataset. It was designed and implemented by the Comprehensive Patient Records (CPR) study in Leeds, UK. RESULTS: We defined a clear approach that received ethico-legal approval for use in creating an anonymous research dataset. Our approach used individual-level linkage through a mechanism that is not computer-intensive and was rendered irreversible to both data providers and processors. We successfully applied it in the CPR study to hospital and general practice and community electronic health record data from two providers, along with patient reported outcomes, for 365,193 patients. The resultant anonymous research dataset is available via DATA-CAN, the Health Data Research Hub for Cancer in the UK. CONCLUSIONS: Through ethical, legal and academic review, we believe that we contribute a defined approach that represents a framework that exceeds current minimum standards for effective pseudonymisation and anonymisation. This paper describes our methods and provides supporting information to facilitate the use of this approach in research.

Comparação entre processamentos de dados do acelerômetro gt3x+ para atividade física moderada e vigorosa / Comparison between data processing from gt3x+ accelerometer for vigorous and moderate physical activity

RESUMO O uso do acelerômetro para mensurar a atividade física em pesquisas epidemiológicas, apresenta desafios para aumentar a comparabilidade entre os estudos que utilizam esse equipamento. Nesse sentido o objetivo deste trabalho é comparar estimativas de tempo em AFMV para adultos provenientes de diferentes métodos de processamentos de dados, através do acelerômetro Actigraph GT3X+. Trata-se de um estudo transversal, da linha de base do estudo piloto do Estudo Longitudinal dos Determinantes da Atividade Física. Amostra contou com 31 funcionários terceirizados de ambos os sexos, com idade média de 47.05anos (DP=9.35). Os participantes utilizaram acelerômetros do modelo GT3X+ durante sete dias consecutivos. A estimativa de tempo de AFMV foi gerada através de software Actilife e R-package GGIR. Análises estatísticas descritivas, ANOVA e pos-hoc de Bonferroni para comparabilidade foram realizadas no software R. Análise de Bland-Altman foi realizado no SigmaPlot para avaliação de viés e concordância. Houve diferença significativa no tempo médio de AFMV entre os dados baseados em counts e dados brutos (p<0,001). O tempo médio em AFMV foi menor a partir do processamento por dados brutos do que o em counts (-264,81min/dia; p<0,001). Concluindo que os achados sugerem não haver, estatisticamente, equivalência entre os métodos comparados para estimar tempo de AFMV.

ABSTRACT The use of accelerometers to measure physical activity in epidemiological research presents challenges to increase comparability between studies that use this equipment. In this sense, the objective of this work is to compare time estimates in MVPA for adults from different data processing methods, using the Actigraph GT3X+ accelerometer. This is a cross-sectional study, from the baseline of the pilot study of the Longitudinal Study of the Determinants of Physical Activity. Sample had 31 outsourced employees of both genders, with an average age of 47.05 years (SD=9.35). Participants used GT3X+ model accelerometers for seven consecutive days. The MVPA time estimate was generated using Actilife and R-package GGIR software. Descriptive statistical analyses, ANOVA and Bonferroni post-hoc for comparability were performed in the R software. Bland-Altman analysis was performed in SigmaPlot to assess bias and agreement. There was a significant difference in the mean time of MVPA between count-based data and raw data (p<0.001). The average time in MVPA was shorter from processing by raw data than in counts (-264.81 min/day; p<0.001). Concluding that the findings suggest that there is no statistically equivalence between the methods compared to estimate MVPA time.

Potencialidades e limites do processamento de dados em pesquisas sobre a produção científica / Potential and limits of data processing in research on scientific production / Potencial y límites del procesamiento de datos en investigaciones sobre la producción científica

Este trabalho versa sobre potencialidades e limites relacionados à utilização de processamentos de dados para auxiliar na produção e sistematização de conhecimento científico. Objetiva, através de um exercício experimental envolvendo a utilização de algoritmo, discutir a viabilidade do uso de técnicas de coleta automatizada para levantamento e produção de dados utilizáveis no âmbito das pesquisas científicas. Como demonstração, busca reproduzir de maneira automatizada processos relacionados à coleta de dados de pesquisa anteriormente publicada neste periódico, descrevendo metodologicamente como foram organizados e desenvolvidos a extração e o tratamento desses dados. Como resultado, constata que o processamento automatizado pode ser uma alternativa produtiva e eficiente para auxiliar nas sistematizações e análises sobre o acumulado crescente de publicações no campo científico, podendo abrir novos caminhos metodológicos de pesquisa na Educação Física, especialmente considerando o volume de dados passível de coleta e análise em redes sociais, fóruns e outras plataformas na web. (AU)

This paper deals with potentials and limits related to the use of data processing to assist in the production and systematization of scientific knowledge. It aims, through an experimental exercise involving the use of an algorithm, to discuss the feasibility of using automated collection techniques for surveying and producing data that can be used in scientific research. As a demonstration, it seeks to automatically reproduce processes related to the collection of research data previously published in this journal, describing methodologically how the extraction and treatment of these data was organized and developed. As a result, it finds that automated processing can be a productive and efficient alternative to assist in the systematization and analysis of the growing accumulation of publications in the scientific field, which may open new methodological paths for research in Physical Education, especially considering the volume of data subject to collection and analysis on social networks, forums and other web platforms. (AU)

Este trabajo aborda las potencialidades y los límites relacionados con el uso del procesamiento de datos para ayudar en la producción y sistematización del conocimiento científico. Su objetivo, a través de un ejercicio experimental que implica el uso de un algoritmo, es discutir la viabilidad del uso de técnicas de recolección automatizada para la obtención y producción de datos que se puedan utilizar en el ámbito de las investigaciones científicas. A modo de demostración, se busca reproducir de manera automatizada procesos relacionados con la recolección de datos de una investigación previamente publicada en esta revista, describiendo metodológicamente cómo se organizó y desarrolló la extracción y el tratamiento de esos datos. Como resultado, se constata que el procesamiento automatizado puede ser una alternativa productiva y eficiente para ayudar en la sistematización y análisis de la creciente acumulación de publicaciones en el campo científico, lo que puede abrir nuevos caminos metodológicos para la investigación en Educación Física, especialmente considerando el volumen de datos que se pueden recolectar y analizar en redes sociales, foros y otras plataformas web. (AU)

Nanosecond-resolution photothermal dynamic imaging via MHZ digitization and match filtering.

Photothermal microscopy has enabled highly sensitive label-free imaging of absorbers, from metallic nanoparticles to chemical bonds. Photothermal signals are conventionally detected via modulation of excitation beam and demodulation of probe beam using lock-in amplifier. While convenient, the wealth of thermal dynamics is not revealed. Here, we present a lock-in free, mid-infrared photothermal dynamic imaging (PDI) system by MHz digitization and match filtering at harmonics of modulation frequency. Thermal-dynamic information is acquired at nanosecond resolution within single pulse excitation. Our method not only increases the imaging speed by two orders of magnitude but also obtains four-fold enhancement of signal-to-noise ratio over lock-in counterpart, enabling high-throughput metabolism analysis at single-cell level. Moreover, by harnessing the thermal decay difference between water and biomolecules, water background is effectively separated in mid-infrared PDI of living cells. This ability to nondestructively probe chemically specific photothermal dynamics offers a valuable tool to characterize biological and material specimens.

Padrões de apresentação da insuficiência cardíaca em emergência hospitalar / Heart failure clinical patterns in a hospital emergency admission / Patrones de presentación de insuficiência cardíaca em emergência hospitalaria

Objetivo: Descobrir padrões de apresentação clínica entre pacientes admitidos em uma emergência hospitalar com insuficiência cardíaca aguda. Métodos: Estudo exploratório de base de dados através da aplicação do processo de Descoberta de Conhecimento em Base de Dados, o qual é composto pelas etapas de pré-processamento, mineração de dados e pós-processamento. No estudo foi utilizado o software de código aberto com algoritmos de mineração de dados denominado Weka. Resultados: Foram analisados 965 pacientes, sendo 571(59%) mulheres. A idade média foi 80,79±12,76 anos. A maioria (635) foi classificada como laranja pelo Sistema de Triagem de Manchester, considerada condição de muita urgência com necessidade de atendimento em até 10 minutos. Os sinais e sintomas mais prevalentes foram aqueles relacionados a alterações respiratórias. Os pacientes classificados como amarelo apresentaram maior homogeneidade quando avaliados os sinais vitais. Conclusão: O padrão de apresentação clínica associado à classificação de risco de urgência e muita urgência em pacientes com insuficiência cardíaca que buscam a emergência hospitalar constitui-se, majoritariamente, de sinais e sintomas respiratórios.

Objective: To discover patterns of clinical presentation among patients admitted to an emergency hospital with acute heart failure. Methods: Exploratory study of a database through the application of the Knowledge Discovery process in a Database, which comprises the steps of pre-processing, data mining and post-processing. In the study, open source software with data mining algorithms called Weka was used. Results: 965 patients were analyzed, being 571 (59%) women. The mean age was 80.79±12.76 years. Most (635) were classified as orange by the Manchester Triage System, considered a very urgent condition requiring care within 10 minutes. The most prevalent signs and symptoms were those related to respiratory changes. Patients classified as yellow showed greater homogeneity when assessing vital signs. Conclusion: The pattern of clinical presentation associated with the risk classification of urgency and high urgency in patients with heart failure who seek hospital emergency consists, mostly, of respiratory signs and symptoms.

Objetivo: conocer patrones de presentación clínica en pacientes ingresados en un hospital de urgencias por insuficiencia cardiaca aguda. Métodos: Estudio exploratorio de una base de datos mediante la aplicación del proceso de Descubrimiento del Conocimiento en una Base de Datos, el cual está compuesto por las etapas de preprocesamiento, minería de datos y posprocesamiento. En el estudio, se utilizó un software de código abierto con algoritmos de minería de datos llamado Weka. Resultados: se analizaron 965 pacientes, siendo 571 (59%) mujeres. La edad media fue de 80,79 ± 12,76 años. La mayoría (635) fueron clasificados como naranja por el Sistema de Triaje de Manchester, considerado una condición muy urgente que requiere atención dentro de los 10 minutos. Los signos y síntomas más prevalentes fueron los relacionados con alteraciones respiratorias. Los pacientes clasificados como amarillos mostraron mayor homogeneidad a la hora de evaluar los signos vitales. Conclusión: El patrón de presentación clínica asociado a la clasificación de riesgo de urgencia y alta urgencia en pacientes con insuficiencia cardíaca que acuden a urgencias hospitalarias está constituido mayoritariamente por signos y síntomas respiratorios.

Mapeamento de buscas eletrônicas dos medicamentos mais populares na pandemia da COVID-19 no Brasil / Mapeo de búsquedas electrónicas de las drogas más populares en la pandemia COVID-19 en Brasil / Mapping of electronic searches for the most popular drugs in the COVID-19 pandemic in Brazil

O estudo objetivou mapear as buscas eletrônicas dos medicamentos mais populares na pandemia da COVID-19 no Brasil. Trata.se de um estudo exploratório, retrospectivo e misto. Os dados foram coletados em julho de 2020 através do Google Trends®, filtrados a partir dos últimos 90 dias de pesquisa, que estivessem relacionados aos medicamentos, ivermectina, cloroquina, hidroxicloroquina, dexametasona e azitromicina. Para identificação dos noticiários mais visitados, utilizou.se o Google News®. A população brasileira realizou buscas eletrônicas com os cinco medicamentos investigados, porém houve predomínio da cloroquina e ivermectina. Ademais, conforme a doença evoluiu pelos Estados brasileiros foi perceptível a influência de pesquisas científicas e do governo na busca por esses medicamentos. Ressalta.se que é fundamental para a gestão da pandemia que as estratégias de comunicação sejam traçadas, alicerçadas na responsabilidade social e na perspectiva do empoderamento popular com foco na identificação de notícias falsas e no uso consciente das informações adquiridas virtualmente(AU)

El estudio tuvo como objetivo mapear las búsquedas electrónicas de los medicamentos más populares en la pandemia COVID-19 en Brasil. Se trata de un estudio exploratorio, retrospectivo y mixto. Los datos fueron recolectados en julio de 2020 a través de Google Trends®. Se seleccionaron en los últimos 90 días de investigación los que estaban relacionados con los medicamentos ivermectina, cloroquina, hidroxicloroquina, dexametasona y azitromicina. Para identificar las noticias más visitadas se utilizó Google News®. La población brasileña realizó búsquedas electrónicas entre los cinco fármacos investigados, pero predominaron la cloroquina y la ivermectina. Además, a medida que la enfermedad evolucionó en los estados brasileños, la influencia de la investigación científica y gubernamental en la búsqueda de estos fármacos fue notable. Es de destacar que es fundamental para el manejo de la pandemia que se elaboren estrategias de comunicación, basadas en la responsabilidad social y la perspectiva del empoderamiento popular, con foco en la identificación de noticias falsas y el uso consciente de la información adquirida virtualmente(AU)

The study aimed to map electronic searches for most popular drugs in the COVID-19 pandemic in Brazil. This is an exploratory, retrospective and mixed study. The data were collected in July 2020 through Google Trends®, filtered from the last 90 days of research, wich were related to drugs, ivermectin, chloroquine, hydroxychloroquine, dexamethasone and azithromycin. To identify the most visited newscasts, Google News® was used. The Brazilian population conducted electronic searches among the five investigated drugs, but chloroquine and ivermectin predominated. Furthermore, as the disease evolved in Brazilian states, the influence of scientific and government research in the search for these drugs was noticeable. It is noteworthy that it is essential for the management of the pandemic that communication strategies be drawn up, based on social responsibility and the perspective of popular empowerment, with a focus on the identification of false news and the conscious use of information acquired virtually(AU)

An automatic screening method for strabismus detection based on image processing.

PURPOSE: This study aims to provide an automatic strabismus screening method for people who live in remote areas with poor medical accessibility. MATERIALS AND METHODS: The proposed method first utilizes a pretrained convolutional neural network-based face-detection model and a detector for 68 facial landmarks to extract the eye region for a frontal facial image. Second, Otsu's binarization and the HSV color model are applied to the image to eliminate the influence of eyelashes and canthi. Then, the method samples all of the pixel points on the limbus and applies the least square method to obtain the coordinate of the pupil center. Lastly, we calculated the distances from the pupil center to the medial and lateral canthus to measure the deviation of the positional similarity of two eyes for strabismus screening. RESULT: We used a total of 60 frontal facial images (30 strabismus images, 30 normal images) to validate the proposed method. The average value of the iris positional similarity of normal images was smaller than one of the strabismus images via the method (p-value<0.001). The sample mean and sample standard deviation of the positional similarity of the normal and strabismus images were 1.073 ± 0.014 and 0.039, as well as 1.924 ± 0.169 and 0.472, respectively. CONCLUSION: The experimental results of 60 images show that the proposed method is a promising automatic strabismus screening method for people living in remote areas with poor medical accessibility.

Doctor Recommendation Model Based on Ontology Characteristics and Disease Text Mining Perspective.

BACKGROUND: Patients can access medical services such as disease diagnosis online, medical treatment guidance, and medication guidance that are provided by doctors from all over the country at home. Due to the complexity of scenarios applying medical services online and the necessity of professionalism of knowledge, the traditional recommendation methods in the medical field are confronting with problems such as low computational efficiency and poor effectiveness. At the same time, patients consulting online come from all sides, and most of them suffer from nonacute or malignant diseases, and hence, there may be offline medical treatment. Therefore, this paper proposes an online prediagnosis doctor recommendation model by integrating ontology characteristics and disease text. Particularly, this recommendation model takes full consideration of geographical location of patients. OBJECTIVE: The recommendation model takes the real consultation data from online as the research object, fully testifying its effectiveness. Specifically, this model would make recommendation to patients on department and doctors based on patients' information of symptoms, diagnosis, and geographical location, as well as doctor's specialty and their department. METHODS: Utilizing crawler technique, five hospital departments were selected from the online medical service platform. The names of the departments were in accordance with the standardized department names used in real hospitals (e.g., endocrinology, dermatology, gynemetrics, pediatrics, and neurology). As a result, a dataset consisting of 20000 consultation questions by patients was built. Through the application of Python and MySQL algorithms, replacing semantic dictionary retrieval or word frequency statistics, word vectors were utilized to measure similarity between patients' prediagnosis and doctors' specialty, forming a recommendation framework on medical departments or doctors based on the above-obtained sentence similarity measurement and providing recommendation advices on intentional departments and doctors. RESULTS: In the online medical field, compared with the traditional recommendation method, the model proposed in the paper is of higher recommendation accuracy and feasibility in terms of department and doctor recommendation effectiveness. CONCLUSIONS: The proposed online prediagnosis doctor recommendation model integrates ontology characteristics and disease text mining. The model gives a relatively more accurate recommendation advice based on ontology characteristics such as patients' description texts and doctors' specialties. Furthermore, the model also gives full consideration on patients' location factors. As a result, the proposed online prediagnosis doctor recommendation model would improve patients' online consultation experience and offline treatment convenience, enriching the value of online prediagnosis data.

Construcción de recursos de texto para la identificación automática de información clínica en narrativas no estructuradas / Construction of text resources for automatic identification of clinical information in unstructured narratives

Background: A significant proportion of the clinical record is in free text format, making it difficult to extract key information and make secondary use of patient data. Automatic detection of information within narratives initially requires humans, following specific protocols and rules, to identify medical entities of interest. Aim: To build a linguistic resource of annotated medical entities on texts produced in Chilean hospitals. Material and Methods: A clinical corpus was constructed using 150 referrals in public hospitals. Three annotators identified six medical entities: clinical findings, diagnoses, body parts, medications, abbreviations, and family members. An annotation scheme was designed, and an iterative approach to train the annotators was applied. The F1-Score metric was used to assess the progress of the annotator's agreement during their training. Results: An average F1-Score of 0.73 was observed at the beginning of the project. After the training period, it increased to 0.87. Annotation of clinical findings and body parts showed significant discrepancy, while abbreviations, medications, and family members showed high agreement. Conclusions: A linguistic resource with annotated medical entities on texts produced in Chilean hospitals was built and made available, working with annotators related to medicine. The iterative annotation approach allowed us to improve performance metrics. The corpus and annotation protocols will be released to the research community.

Precisely Encoded Barcodes through the Structure-Fluorescence Combinational Strategy: A Flexible, Robust, and Versatile Multiplexed Biodetection Platform with Ultrahigh Encoding Capacities.

With the rapid development of suspension array technology, microbeads-based barcodes as the core element with sufficient encoding capacity are urgently required for high-throughput multiplexed detection. Here, a novel structure-fluorescence combinational encoding strategy is proposed for the first time to establish a barcode library with ultrahigh encoding capacities. Based on the never revealed transformability of the structural parameters (e.g., porosity and matrix component) of mesoporous microbeads into scattering signals in flow cytometry, the enlargement of codes number has been successfully realized in combination with two other fluorescent elements of fluorescein isothiocyanate isomer I (FITC) and quantum dots (QDs). The barcodes are constructed with precise architectures including FITC encapsulated within mesopores and magnetic nanoparticles as well as QDs immobilized on the outer surface to achieve the ultrahigh encoding level of 300 accompanied with superparamagnetism. To the best of knowledge, it is the highest record of single excitation laser-based encoding capacity up to now. Moreover, a ten-plexed tumor markers bioassay based on the tailored-designed barcodes has been evaluated to confirm their feasibility and effectiveness, and the results indicate that the barcodes platform is a promising and robust tool for practical multiplexed biodetection.