ABSTRACT
Introducción: Las enfermedades cardiovasculares constituyen la primera causa de muerte en el mundo, por lo que la identificación y modificación de los factores de riesgo asociados a ellas constituyen estrategias priorizadas por la Organización Mundial de la Salud. Contar con un modelo de predicción del riesgo cardiovascular enriquecido con la evaluación de la disfunción endotelial influiría positivamente en estas metas. Objetivos: Identificar la presencia de disfunción endotelial en pacientes con enfermedades cardiovasculares o sin estas y determinar la asociación entre ambas. Métodos: Se realizó un estudio observacional y descriptivo, de serie de casos, en el Centro de Cardiología y Cirugía Cardiovascular del Hospital Provincial Docente Clínico-Quirúrgico Saturnino Lora de Santiago de Cuba, desde enero del 2022 hasta igual mes del 2023, donde se analizaron como variables los factores de riesgo cardiovascular tradicionales y los biomarcadores de disfunción endotelial. Secundariamente, se llevó a cabo un estudio analítico de casos y controles en el cual se aplicó la regresión logística binaria multivariada. Resultados: Se confirmó la presencia de disfunción endotelial asociada a la aparición de las enfermedades cardiovasculares, lo que se evaluó a través del índice de vasodilatación, mediado por el flujo de la arteria braquial y las concentraciones plasmáticas de fibrinógeno. Conclusiones: Las características epidemiológicas y clínicas de los pacientes con enfermedades cardiovasculares o sin estas no difirieron de lo registrado en la literatura especializada acerca de la base de identificación de los factores de riesgo tradicionales.
Introduction: Cardiovascular diseases constitute the first death cause worldwide, reason why the identification and modification of associated risk factors constitute prioritized strategies by the World Health Organization. To have a prediction model of cardiovascular risk enriched with the evaluation of the endothelial dysfunction would influence positively in these goals. Objectives: To identify the presence of endothelial dysfunction in patients with or without cardiovascular diseases and to determine the association between them. Methods: An observational and descriptive cases series study was carried out in the Cardiology and Cardiovascular Surgery Center at Saturnino Lora Teaching Clinical Surgical Provincial Hospital in Santiago de Cuba, from January, 2022 to the same month, 2023, where the traditional cardiovascular risk factors and endothelial dysfunction biomarkers were analyzed as variables. Secondarily, an analytic case-control study was carried out in which multivariate binary logistic regression was applied. Results: The presence of endothelial dysfunction associated with the onset of cardiovascular diseases was confirmed, what was evaluated through the vasodilatation index, mediated by the brachial artery flow and the fibrinogen plasmatic concentrations. Conclusions: The clinical and epidemiological pattern of patients with or without cardiovascular diseases did not differ from that reported in the specialized literature on the base of the identification of traditional risk factors.
ABSTRACT
: To design and develop a Wechat applet for intelligent health management of metabolic syndrome. Based on the needs and requirements of individuals undergoing health check-up, patients with metabolic syndrome and medical workers, a Wechat applet for metabolic syndrome management was designed and developed, which involving health data collection, health risk prediction, health management knowledge base fusion and intelligent recommendation, data privacy and security. The platform consists of three user ports: individuals undergoing health check and patients with metabolic syndrome, the medical workers and the system administrators. The main functions of the platform included metabolic syndrome risk prediction, intelligent recommendation of health management strategies, health behavior record and supervision, experts' consultation and health knowledge guide. The Wechat applet developed in this study can be used for metabolic syndrome risk prediction for general population, and health management for patients with metabolic syndrome, which helps them to enhance health management awareness and health behavior adherence.