Inteligencia artificial. Aplicación en las imágenes cardiovasculares y la prevención cardiovascular / Artificial Intelligence in Cardiovascular Imaging and Cardiovascular Prevention

RESUMEN La inteligencia artificial (IA) está basada en programas computacionales que pueden imitar el pensamiento humano y automatizar algunos procesos. En el ámbito médico se está estudiando hace más de 50 años, pero en los últimos años el crecimiento ha sido exponencial. El campo de las imágenes cardiovasculares es particularmente atractivo para aplicarla, dado que, guiadas por IA, personas no expertas pueden adquirir imágenes completas, automatizar procesos y mediciones, orientar diagnósticos, detectar hallazgos no visibles al ojo humano, realizar diagnósticos oportunistas de afecciones no buscadas en el estudio índice pero evaluables a través de las imágenes disponibles, o identificar patrones de asociación dentro de una gran cantidad de datos como fuente de generación de hipótesis. En el campo de la prevención cardiovascular, la IA se ha aplicado en diferentes escenarios con fines diagnósticos, pronósticos y terapéuticos en el manejo de algunos factores de riesgo cardiovascular, como las dislipidemias o la hipertensión arterial. Si bien existen limitaciones con el uso de la IA tales como el costo, la accesibilidad y la compatibilidad de los programas, la validez externa de los resultados en determinadas poblaciones, o algunos aspectos éticos-legales (privacidad de los datos), esta tecnología está en crecimiento vertiginoso y posiblemente revolucione la práctica médica actual.

ABSTRACT Artificial intelligence (AI) is based on computer programs that imitate human thinking and automate certain processes. Artificial intelligence has been studied in the medical field for over 50 years, but in recent years, its growth has been exponential. The field of cardiovascular imaging is particularly attractive since AI can guide non-experts in image acquisition, automate processes and measurements, guide diagnoses, detect findings not visible to the human eye, make opportunistic diagnoses of unexpected conditions in the index test, or identify patterns of association within a large amount of data as a source of hypothesis generation. In the field of cardiovascular prevention, AI has been used for diagnostic, prognostic, and therapeutic purposes in managing cardiovascular risk factors such as dyslipidemia and hypertension. While there are limitations to the use of AI, such as cost, accessibility, compatibility of programs, external validity of results in certain populations, and ethical-legal aspects such as data privacy, this technology is rapidly growing and is likely to revolutionize current medical practice.

Automatic Speech Recognition System to Record Progress Notes in a Mobile EHR: A Pilot Study.

Creating notes in the EHR is one of the most problematic aspects for health professionals. The main challenges are the time spent on this task and the quality of the records. Automatic speech recognition technologies aim to facilitate clinical documentation for users, optimizing their workflow. In our hospital, we internally developed an automatic speech recognition system (ASR) to record progress notes in a mobile EHR. The objective of this article is to describe the pilot study carried out to evaluate the implementation of ASR to record progress notes in a mobile EHR application. As a result, the specialty that used ASR the most was Home Medicine. The lack of access to a computer at the time of care and the need to perform short and fast evolutions were the main reasons for users to use the system.

Integrating Dermoscopic Images into PACS Using DICOM and Modality Worklist.

Dermatology is one of the medical fields outside the radiology service that uses image acquisition and analysis in its daily medical practice, mostly through digital dermoscopy imaging modality. The acquisition, transfer, and storage of dermatology images has become an important issue to resolve. We aimed to describe our experience in integrating dermoscopic images into PACS using DICOM as a guide for the health informatics and dermatology community. During 2022 we integrated the video dermoscopy equipment through a strategic plan with an 8-step procedure. We used the DICOM standard with Modality Worklist and Storage commitment. Three systems were involved (video dermoscopy software, the EHR, and PACS). We identified critical steps and faced many challenges, such as the lack of a final model of DICOM standard for dermatology images.

A dataset of skin lesion images collected in Argentina for the evaluation of AI tools in this population.

In recent years, numerous dermatological image databases have been published to make possible the development and validation of artificial intelligence-based technologies to support healthcare professionals in the diagnosis of skin diseases. However, the generation of these datasets confined to certain countries as well as the lack of demographic information accompanying the images, prevents having a real knowledge of in which populations these models could be used. Consequently, this hinders the translation of the models to the clinical setting. This has led the scientific community to encourage the detailed and transparent reporting of the databases used for artificial intelligence developments, as well as to promote the formation of genuinely international databases that can be representative of the world population. Through this work, we seek to provide details of the processing stages of the first public database of dermoscopy and clinical images created in a hospital in Argentina. The dataset comprises 1,616 images corresponding to 1,246 unique lesions collected from 623 patients.

El diagnóstico precoz de las enfermedades reumáticas, necesidades reales

Introducción: Las enfermedades reumáticas son conceptualizadas como un grupo de afecciones que generan grados variables de discapacidad funcional y disminución de la percepción de calidad de vida relacionada con la salud. Su diagnóstico precoz resulta vital para minimizar el riesgo de aparición de complicaciones y deformidades articulares. Objetivo: Identificar el nivel de conocimiento sobre los elementos básicos del diagnóstico de enfermedades reumáticas en médicos del primer nivel de atención de salud. Métodos: Se realizó una investigación básica, no experimental, descriptiva y transversal. El universo estuvo constituido por 428 médicos generales que laboran en el primer nivel de atención de salud de la zona 3 en Ecuador. La muestra quedó conformada por 204 profesionales. Se aplicó un modelo de recolección de información que permitió identificar características generales y nivel de conocimiento sobre elementos básicos del diagnóstico de las enfermedades reumáticas. Resultados: Promedio de edad de 28,39 años, predominio de médicos femeninas (63,24 %), entre 4 y 6 años de graduados (35,78 %) y haber recibido capacitaciones sobre los elementos básicos del diagnóstico de las enfermedades reumáticas (98,04 %). El nivel de conocimiento predominante sobre este tema fue el bajo (89,70 %). Conclusiones: El nivel de conocimiento sobre elementos básicos del diagnóstico de enfermedades reumáticas en médicos del primer nivel de atención de salud es bajo.

Introduction: Rheumatic diseases are conceptualized as a group of conditions that generate variable degrees of functional disability and decreased perception of health-related quality of life. Its early diagnosis is vital to minimize the risk of complications and joint deformities. Objective: To identify the level of knowledge about the basic elements of the diagnosis of rheumatic diseases in doctors of the first level of health care. Methods: A basic, non-experimental, descriptive and cross-sectional investigation was carried out. The universe consisted of 428 general practitioners who work in the first level of health care in zone 3 in Ecuador. The sample was made up of 204 professionals. An information collection model was applied that allowed the identification of general characteristics and level of knowledge about basic elements of the diagnosis of rheumatic diseases. Results: Average age of 28.39 years, predominance of female doctors (63.24 %), between 4 and 6 years of graduation (35.78 %) and having received training on the basic elements of diagnosis of rheumatic diseases (98.04 %). The predominant level of knowledge on this topic was low (89.70 %). Conclusions: The level of knowledge about basic elements of the diagnosis of rheumatic diseases in doctors of the first level of health care is low.

Circulating lipoprotein-carried miRNome analysis reveals novel VLDL-enriched microRNAs that strongly correlate with the HDL-microRNA profile.

Lipoproteins have been described as microRNAs (miRNAs) carriers. Unfortunately, the bibliography on this topic is scarce and shows a high variability between independent investigations. In addition, the miRNA profiles of the LDL and VLDL fractions have not been completely elucidated. Here, we profiled the human circulating lipoprotein-carried miRNome. Lipoprotein fractions (VLDL, LDL and HDL) were isolated from the serum of healthy subjects by ultracentrifugation and purified by size-exclusion chromatography. A panel of 179 miRNAs commonly expressed in circulation was evaluated in the lipoprotein fractions using quantitative real-time PCR (qPCR) assays. A total of 14, 4 and 24 miRNAs were stably detected in the VLDL, LDL and HDL fractions, respectively. VLDL- and HDL-miRNA signatures were highly correlated (rho 0.814), and miR-16-5p, miR-142-3p, miR-223-3p and miR-451a were among the top 5 expressed miRNAs in both fractions. miR-125a-5p, miR-335-3p and miR-1260a, were detected in all lipoprotein fractions. miR-107 and miR-221-3p were uniquely detected in the VLDL fraction. HDL showed the larger number of specifically detected miRNAs (n = 13). Enrichment in specific miRNA families and genomic clusters was observed for HDL-miRNAs. Two sequence motifs were also detected for this group of miRNAs. Functional enrichment analysis including the miRNA signatures from each lipoprotein fraction suggested a potential role in mechanistic pathways previously associated with cardiovascular disease: fibrosis, senescence, inflammation, immune response, angiogenesis, and cardiomyopathy. Collectively, our results not only support the role of lipoproteins as circulating miRNA carriers but also describe for the first time the role of VLDL as a miRNA transporter.

El aprendizaje basado en proyecto como herramienta docente metodológica en la educación superior / Project-based learning as a methodological teaching tool in higher education

En la última década la educación superior ha sufrido transformaciones metodológicas con fines de optimizar el proceso enseñanza aprendizaje para lograr una mejor adaptación de los estudiantes a las demandas actuales y consolidar el conocimiento adquirido. Ante estas necesidades han surgido nuevas herramientas metodológicas que persiguen dar un vuelco a los conceptos tradicionales e introducir técnicas de avanzadas que se centran en la participación activa del estudiante en la formación de su propio aprendizaje. El aprendizaje basado en proyectos constituye una nueva herramienta metodológica que centra el proceso enseñanza aprendizaje en la actividad directa del estudiante, quien es el eje central de su propio desarrollo académico. El rol del docente pasa de ser un rol principal a tener una representación secundaria con un rol orientador(AU)

In the last decade, higher education has undergone methodological transformations in order to optimize the teaching-learning process to achieve a better adaptation of students to current demands and consolidate the knowledge acquired. Given these needs, new methodological tools have emerged that seek to overturn traditional concepts and introduce advanced techniques that focus on the active participation of the student in the formation of their own learning. Project-based learning is a new methodological tool that focuses the teaching-learning process on the direct activity of the student, this being the central axis of their own academic development. The role of the teacher goes from being a main role to having a secondary representation with a guiding role(AU)

Percepción de componentes psicológicos de calidad de vida en adultos mayores del cantón Riobamba / Perception of psychological components of quality of life in older adults in the Riobamba canton

Introducción: La calidad de vida es un concepto amplio que comprende varias dimensiones. Los componentes psicológicos desempeñan un papel fundamental en la percepción general, principalmente en los adultos mayores. Objetivo: Describir la percepción de componentes psicológicos de calidad de vida en adultos mayores del cantón Riobamba. Métodos: Se realizó una investigación básica, con diseño no experimental, de campo, transversal y descriptiva que incluyó como población a 3794 adultos mayores residentes en el cantón Riobamba, provincia Chimborazo, Ecuador. La muestra quedó conformada por 696 personas distribuidas en dos grupos muestra: residentes en zona urbana y rural. Se aplicó el cuestionario empleado por el Ministerio de Inclusión Económica y Social del Ecuador para determinar la percepción de calidad de vida. Resultados: Hubo un promedio de edad de 67,87 años, predominio del sexo femenino (64,80 por ciento) y de nivel educacional de primaria (33,76 por ciento); solo el 13,08 por ciento refirió antecedentes de trastornos psicológicos con predominio del trastorno ansioso (56,04 por ciento), seguido de los cuadros depresivos (36,27 por ciento). Conclusiones: Se obtuvieron resultados satisfactorios de percepción de componentes psicológicos de calidad de vida. Hubo resultados de satisfacciones frecuentes y siempre o casi siempre en la mayoría de los ítems tanto en la población rural como en la urbana(AU)

Introduction: Quality of life is a broad concept that includes several dimensions. Psychological components play a fundamental role in general perception, mainly in older adults. Objective: To describe the perception of psychological components of quality of life in older adults in the Riobamba canton. Methods: A basic research was carried out, with a non-experimental, field, cross-sectional and descriptive design that included a population of 3794 elderly residents in the Riobamba canton, Chimborazo province, Ecuador. The sample was made up of 696 people divided into two groups, a sample residing in urban and rural areas. The questionnaire used by the Ministry of Economic and Social Inclusion of Ecuador was used to determine the perception of quality of life. Results: average age of 67.87 years, predominance of the female sex (64.80%) and primary educational level (33.76 percent); only 13.0 percent reported a history of psychological disorders with a predominance of anxiety disorder (56.04 percent), followed by depressive symptoms (36.27 percent). Conclusions: Satisfactory results of perception of psychological components of quality of life were obtained. Frequent and always or almost always satisfaction was obtained in most of the items in both rural and urban populations(AU)

Information Assessment for the Implementation of Electronic Informed Consent for Genetic Studies in a High Complexity Hospital.

The objective of this study was to investigate and analyze the most relevant aspects that influence the development and implementation of electronic informed consent for genetic studies. Interviews were conducted with experts in the area within our institution, the different informed consents available and the number of genetic studies requested in the last 5 years were analyzed. Professionals acknowledged the ethical dilemmas related to the genetic studies and the importance of having an electronic informed consent that not only provides the patient with the information necessary to understand the implications of the study, but also be flexible enough to adapt to the various genetic studies today. The development of informed consent is a challenge for health IT professionals, due to the complexity of the information it contains and the ethical implications it represents.

Development, Implementation and Initial Results of CDSS Recommendations for Patients at Risk of Hereditary Breast Cancer.

Breast cancer represents 23% of all cancers diagnosed among women each year. BRCA1 and BRCA2 are tumor suppressor genes related to the most frequent form of hereditary breast and ovarian cancer, as well as other types of cancer. The aim of this work is to describe the development of Clinical Decision Support Systems (CDSS) for referral to genetic counseling in patients at increased risk of pathogenic variants in BRCA1 and BRCA2, and to describe results during the pilot study implementation (from January 5, 2021 to March 5, 2021). To achieve integration and system interoperability, we used FHIR and CDS-Hooks within the CDSS development. A total of 142 alerts were triggered by the system for 72 physicians in 98 patients. Results showed an acceptance rate for the recommendation of 2.1%, which could improve using intrusive alerts in all of the hooks.

Automatic Integration of Clinical and Genetic Data Using cBioPortal.

Precision medicine seeks to improve the prevention, diagnosis and treatment of patients based on genetic characteristics unique to each person. In oncology, therapeutic decisions have been established based on the genomic characteristics of each patient's tumor. Data integration is key for the successful implementation of precision medicine since it is necessary for both studying a large volume of data from different sources and working with an interdisciplinary and translational vision. In this work, a bioinformatic process was successfully implemented that allows the integration of patients' genomic data, from two molecular biology laboratories, with their clinical data provided by their electronic medical records. For this, the REDCap data capture software, the cBioPortal visualization and analysis software, and a computer tool developed to automate the processing and annotation of the information in REDCap were used to be included in cBioPortal, for the "Map of Tumor Genomic Actionability of Argentina" project.

Building a Genome Archiving and Communication System Integrated into a Health Information Systems.

The use of next-generation sequencing technologies in clinical practice has increased the volume of information that must be stored, processed, and interpreted. In this work, a description of the implementation of a genomic communication and archiving system (GACS) is presented. This GACS will allow us to store, share and search the genomic files and genetic variants obtained as a result of genetic laboratory tests.

Health Information Systems Adaptation and Flexibility in Extreme Situations: The COVID Effect.

In 2020, a pandemic forced the entire world to adapt to a new scenario. The objective of this study was to know how Health Information Systems were adapted driven by the pandemic of COVID. 12 CIOS of healthcare organizations were interviewed and the interviews were classified according to the dimensions of a sociotechnical model: Infrastructure, Clinical Content, Human Computer Interface, People, Workflow and Communication, Organizational Characteristics and Internal Policies, Regulations, and Measurement and Monitoring. Adaptation to the Pandemic involved social, organizational and cultural rather than merely technical aspects in private organizations with mature and stable Health Information Systems.

User Satisfaction with an AI System for Chest X-Ray Analysis Implemented in a Hospital's Emergency Setting.

The acceptance of artificial intelligence (AI) systems by health professionals is crucial to obtain a positive impact on the diagnosis pathway. We evaluated user satisfaction with an AI system for the automated detection of findings in chest x-rays, after five months of use at the Emergency Department. We collected quantitative and qualitative data to analyze the main aspects of user satisfaction, following the Technology Acceptance Model. We selected the intended users of the system as study participants: radiology residents and emergency physicians. We found that both groups of users shared a high satisfaction with the system's ease of use, while their perception of output quality (i.e., diagnostic performance) differed notably. The perceived usefulness of the application yielded positive evaluations, focusing on its utility to confirm that no findings were omitted, and also presenting distinct patterns across the two groups of users. Our results highlight the importance of clearly differentiating the intended users of AI applications in clinical workflows, to enable the design of specific modifications that better suit their particular needs. This study confirmed that measuring user acceptance and recognizing the perception that professionals have of the AI system after daily use can provide important insights for future implementations.

Variantes genéticas del SARS-CoV-2 y sus implicaciones clínicas / Genetic variants of SARS-CoV-2 and its clinical implications

El SARS-CoV-2, agente causal de la actual pandemia de la COVID-19, va sufriendo mutaciones como consecuencia de su ciclo evolutivo, lo que ha originado diferentes variantes genéticas, que han sido agrupadas en dos categorías: preocupante (alfa o británica, beta o sudafricana, gamma o brasileña y delta o india) y de interés (lamdba, mu, épsilon, eta, iota, kappa, zeta, theta); estas conllevan implicaciones clínicas en la transmisibilidad, virulencia y resistencia del SARS-CoV-2 a la inmunidad natural y adquirida, lo que representa un serio desafío para los servicios de salud en todo el mundo. En este artículo se describen dichas variantes genéticas, con énfasis en su probable impacto clínico, y además se plantea la posibilidad de que aparezcan otras, como fenómeno natural en la evolución de los virus.

The SARS-CoV-2, causal agent of the COVID-19 current pandemic, is suffering mutations as a consequence of its evolutive cycle, what has originated different genetic variants that have been grouped in two categories: worrying (alpha or British, beta or South African, gamma or Brazilian and delta or Indian) and of interest (lamdba, mu, epsilon, eta, iota, kappa, zed, theta); these categories bear clinical implications in the transmissibility, virulence and resistance from SARS-CoV-2 to the natural and acquired immunity, what represents a serious challenge in health services worldwide. These genetic variants are described in this work, with emphasis in its probable clinical impact, and the possibility that other variants could appear is also explained, as natural phenomenon in the evolution of viruses.

De la presencialidad a la virtualidad en tiempos de pandemia: la experiencia del Hospital Italiano de Buenos Aires / From face-to-face to virtuality in pandemic times: the experience of the Hospital Italiano de Buenos Aires

El 11 de marzo de 2020, la Organización Mundial de la Salud (OMS) declaró el COVID-19 como pandemia, afectando drásticamente la atención de la salud. A nivel global se adoptaron medidas como el distanciamiento social y la cuarentena. Ello representó un enorme desafío para los Sistemas de Información en Salud (SIS), que rápidamente debieron adaptarse, frente a una razón ineludible para abrazar por completo la transformación digital. Surge la necesidad de explorar las tecnologías digitales utilizadas durante la pandemia y considerarlas para su uso continuado en el tiempo o cíclicamente en caso de brotes recurrentes. Las herramientas informáticas se han utilizado para la prestación de servicios de telemedicina, monitorización remota de pacientes, comunicación digital entre líderes políticos y autoridades científicas, monitorización de datos para analizar la propagación y evolución del COVID-19, etc. Los países y organizaciones han impulsado el uso de soluciones tecnológicas con distintas limitaciones. El Hospital Italiano de Buenos Aires posee una trayectoria de más de 20 años en implementaciones e innovaciones tecnológicas; sin embargo, la pandemia impulsó una serie de adaptaciones en su SIS. El objetivo de este trabajo fue describir dicho proceso de adaptación digital desde marzo a diciembre de 2020, e identificar los principales resultados utilizando un modelo sociotécnico. Se empleó el modelo de Sittig que incluye 8 dimensiones: Infraestructura, Contenido clínico, Interfaz Humano-computadora, Personas, Comunicación y procesos, Regulaciones, Características organizacionales y Políticas internas y Medición y monitorización. (AU)

On March 11, 2020, the World Health Organization (WHO) declared COVID-19 a pandemic, dramatically affecting health care. Measures such as social distancing and quarantine were adopted globally. This new context represented a huge challenge for Health Information Systems (HIS) that had to adapt quickly, facing an inescapable reason to fully embrace the digital transformation. There is a need to explore the digital technologies used during the pandemic and consider them for continued use over time or cyclically in the event of recurring outbreaks. Digital tools have been used for the provision of telemedicine services, remote patient monitoring, digital communication between political leaders and scientific authorities, data monitoring to analyze the spread and evolution of COVID-19, etc. Countries and organizations have promoted the use of technological solutions with different limitations. The Hospital Italiano de Buenos Aires has a history of more than 20 years in technological implementations and innovations, however, the pandemic prompted a series of adaptations in its SIS. The objective of this work was to describe said digital adaptation process from March to December 2020, and to identify the main results using a sociotechnical model. Sittig´model was used, which includes 8 dimensions: Infrastructure, Clinical Content, Human-Computer Interface, People, Communication and Processes, Regulations, Organizational Characteristics and Internal Policies, and Measurement and Monitoring. (AU)

Genes involucrados en el cáncer pulmonar / Genes involved in lung cancer

Introducción: El cáncer pulmonar constituye un serio problema de salud mundial por su elevada prevalencia y mortalidad. En la carcinogénesis pulmonar están implicados oncogenes y genes supresores tumorales, que en una compleja interacción con factores ambientales favorecen la transformación cancerosa. Objetivo: Describir los principales genes implicados en el cáncer pulmonar. Métodos: Se buscaron referencias en las bases de datos PubMed Central, Annual Reviews y SciELO. Se revisaron preferentemente los artículos originales, las revisiones bibliográficas, las revisiones sistemáticas y los metaanálisis de los últimos cinco años. Análisis e integración de la información: En la carcinogénesis pulmonar se involucran los oncogenes JUN, FOS, ABL1, BRAF, RAF1, GNAS, KRAS, NRAS, HRAS, CSF 1R, MYC, EGFR, MET, ALK, CCNE1, DDR2, ERBB3, FGFR1, MDM2, ROS1, SOX2 y TP63 y los genes supresores tumorales TP53, CDKN2A, CDKN1A, RB1, CDK2AP1, ATM, ERCC2, BRCA1, CCND1, STK11, PDLIM2, PTEN, ARID1A, ASCL4, CUL3, EP300, KEAP1, KMT2D, NF1, NOTCH1, RASA1, ETD2 y SMARCA4. El conocimiento de la genética molecular del cáncer pulmonar es importante para la identificación de biomarcadores diagnósticos y pronósticos más eficaces y para el diseño de fármacos diana sobre genes específicos(AU)

Introduction: Lung cancer is a serious global health problem due to its high prevalence and mortality. Lung carcinogenesis involves oncogenes and tumor suppressor genes which interact in complex manners with environmental factors, paving the way for the cancerous transformation. Objective: Describe the main genes involved in lung cancer. Methods: References were searched for in the databases PubMed Central, Annual Reviews and SciELO. Particular attention was paid to original papers, bibliographic reviews, systematic reviews and meta-analyses published in the last five years. Data analysis and integration: Lung carcinogenesis involves the oncogenes JUN, FOS, ABL1, BRAF, RAF1, GNAS, KRAS, NRAS, HRAS, CSF 1R, MYC, EGFR, MET, ALK, CCNE1, DDR2, ERBB3, FGFR1, MDM2, ROS1, SOX2 and TP63, and the tumor suppressor genes TP53, CDKN2A, CDKN1A, RB1, CDK2AP1, ATM, ERCC2, BRCA1, CCND1, STK11, PDLIM2, PTEN, ARID1A, ASCL4, CUL3, EP300, KEAP1, KMT2D, NF1, NOTCH1, RASA1, ETD2 and SMARCA4. Knowledge about the molecular genetics of lung cancer is important to identify more efficient diagnostic and prognostic biomarkers and to design targeted drugs for specific genes(AU)

Patrón nutricional en pacientes con gota / Nutritional pattern in patients with gout

Introducción: La gota es una enfermedad metabólica caracterizada por cuadros inflamatorios monoarticulares fundamentalmente en miembros inferiores, cuyos factores de riesgo están relacionados con la nutrición: La principal complicación ocurre a nivel renal. Objetivo: Identificar el patrón nutricional de los pacientes con gota atendidos en la Consulta de Nutrición del Hospital Andino de Chimborazo entre enero del 2018 y julio del 2019. Métodos: Investigación básica, descriptiva y transversal; el universo fueron 53 pacientes con diagnóstico de gota. La muestra quedó constituida por 47 pacientes que cumplieron los criterios de inclusión. Se determinó el patrón alimentario teniendo en cuenta el estado nutricional, el perfil lipídico y el nivel de conocimiento sobre nutrición saludable. Resultados: El promedio de edad fue de 58,72 años, con predominio de pacientes blancos (55,32 por ciento) entre 50 y 59 años (44,68 por ciento) y con tiempo de evolución de la enfermedad entre 1 y 5 años (61,70 por ciento). En el 82,98 por ciento de ellos se identificaron alteraciones nutricionales por exceso, mientras que el 51,06 por ciento de ellos tenía un nivel de conocimiento bajo sobre nutrición saludable. Los triglicéridos estuvieron elevados en el 46,81 por ciento de los pacientes, mientras que el 38,30 por ciento presentó aumento del colesterol total. Conclusiones: Entre los pacientes con diagnóstico de gota existió un predominio de patrones nutricionales inadecuados. Los factores principales fueron el bajo nivel de conocimiento sobre nutrición saludable y los trastornos nutricionales por exceso. Los patrones nutricionales inadecuados favorecen la actividad de la xantino oxidasa, que aumenta la producción de ácido úrico y su acumulación sérica y articular(AU)

Introduction: Gout is a metabolic disease characterized by mono-articular inflammatory conditions primarily in the lower limbs; The main complication occurs at the renal level. Objective: The dietary pattern of patients with drops treated at the Andean Hospital of Chimborazo in the period between January 2018 and July 2019. Methods: Basic, descriptive and correlational research, universe to 53 patients with gout diagnosis. The sample consisted of 47 cases that met the inclusion criteria. The eating pattern was determined taking into account nutritional status, lipid profile and level of knowledge about healthy nutrition. Pearson's correlation coefficient was applied to identify relationship between variables. Results: Average age of 58.72 years with a predominance of patients between 50 and 59 years (44.68 percent) and with time of evolution of the disease between 1 and 5 years (61.70 percent). In 82.98 percent of the patients, excess nutritional alterations were identified, while 51.06 percent of them presented a low level of knowledge about healthy nutrition. Triglycerides were elevated in 46.81 percent of the patients, while 38.30 percent had an increase in total cholesterol. Conclusions: There was a predominance of patients with a diagnosis of gout and adequate nutritional patterns. The greatest effects were the low level of knowledge about healthy nutrition and the increased presence of excess nutritional disorders. Inadequate nutritional patterns favor the activity of xanthine oxidase by increasing the production of uric acid and its serum and joint accumulation(AU)

Information and communication technologies in neonatal health.

OBJECTIVES: To identify scientific evidence on the use and results of information and communication technologies for the improvement of neonatal health in general or specific health problems or interventions, and to describe the type of intervention and its results. METHODS: A systematic review of the available evidence was performed. The search was carried out in peer-reviewed journals between January 1, 2008 and April 30, 2018, in English and Spanish. The searched key terms were (health informatics OR telemedicine OR mHealth) AND (newborn OR newborn care OR neonatal care). RESULTS: From a total of 305 articles initially identified, 10 articles fulfilled the inclusion criteria. The main domains of eHealth identified as applied to neonatal health were telemedicine (3 studies), eLearning (1 study) and mHealth (7 studies). Target population were health care providers or parents. The studies aimed at diagnosis, provision of health care and training, promoting adherence to interventions in parents or improving quality of care. CONCLUSIONS: The use of eHealth in general and specifically focused on neonatal health shows important possibilities for development and expansion, given the advances and present needs, and should be considered a key tool for the reduction of inequalities.

OBJETIVOS: Identificar la evidencia científica sobre el uso y los resultados de las tecnologías de la información y la comunicación para mejorar la salud neonatal en general o problemas de salud o intervenciones específicos, y describir el tipo de intervención y sus resultados. MÉTODOS: Se realizó una revisión sistemática de la evidencia disponible. La búsqueda se llevó a cabo en revistas revisadas por pares entre el 1 de enero de 2008 y el 30 de abril de 2018, en español e inglés. Los términos clave de la búsqueda fueron (health informatics OR telemedicine OR mHealth) AND (newborn OR newborn care OR neonatal care). RESULTADOS: De un total de 305 artículos identificados inicialmente, 10 artículos cumplieron los criterios de inclusión. Los principales dominios de la eSalud aplicados a la salud neonatal fueron la telemedicina (3 estudios), el aprendizaje electrónico (1 estudio) y la salud móvil (7 estudios). La población destinataria consistió en los proveedores de atención de la salud o los padres. Los estudios tenían por objeto el diagnóstico, la prestación de atención sanitaria y la capacitación, la promoción del cumplimiento de las intervenciones en los padres o la mejora de la calidad de la atención. CONCLUSIONES: El uso de la eSalud en general, y específicamente en la salud neonatal, muestra importantes posibilidades de desarrollo y expansión, dados los avances y las necesidades actuales, y debería considerarse un instrumento clave para la reducción de las desigualdades.

Information and communication technologies in neonatal health

[ABSTRACT]. Objectives. To identify scientific evidence on the use and results of information and communication technologies for the improvement of neonatal health in general or specific health problems or interventions, and to describe the type of intervention and its results. Methods. A systematic review of the available evidence was performed. The search was carried out in peerreviewed journals between January 1, 2008 and April 30, 2018, in English and Spanish. The searched key terms were (health informatics OR telemedicine OR mHealth) AND (newborn OR newborn care OR neonatal care). Results. From a total of 305 articles initially identified, 10 articles fulfilled the inclusion criteria. The main domains of eHealth identified as applied to neonatal health were telemedicine (3 studies), eLearning (1 study) and mHealth (7 studies). Target population were health care providers or parents. The studies aimed at diagnosis, provision of health care and training, promoting adherence to interventions in parents or improving quality of care. Conclusions. The use of eHealth in general and specifically focused on neonatal health shows important possibilities for development and expansion, given the advances and present needs, and should be considered a key tool for the reduction of inequalities.

[RESUMEN]. Objetivos. Identificar la evidencia científica sobre el uso y los resultados de las tecnologías de la información y la comunicación para mejorar la salud neonatal en general o problemas de salud o intervenciones específicos, y describir el tipo de intervención y sus resultados. Métodos. Se realizó una revisión sistemática de la evidencia disponible. La búsqueda se llevó a cabo en revistas revisadas por pares entre el 1 de enero de 2008 y el 30 de abril de 2018, en español e inglés. Los términos clave de la búsqueda fueron (health informatics OR telemedicine OR mHealth) AND (newborn OR newborn care OR neonatal care). Resultados. De un total de 305 artículos identificados inicialmente, 10 artículos cumplieron los criterios de inclusión. Los principales dominios de la eSalud aplicados a la salud neonatal fueron la telemedicina (3 estudios), el aprendizaje electrónico (1 estudio) y la salud móvil (7 estudios). La población destinataria consistió en los proveedores de atención de la salud o los padres. Los estudios tenían por objeto el diagnóstico, la prestación de atención sanitaria y la capacitación, la promoción del cumplimiento de las intervenciones en los padres o la mejora de la calidad de la atención. Conclusiones. El uso de la eSalud en general, y específicamente en la salud neonatal, muestra importantes posibilidades de desarrollo y expansión, dados los avances y las necesidades actuales, y debería considerarse un instrumento clave para la reducción de las desigualdades.