Ramos Lucía, Novo Jorge, Barreira Noelia, Rouco José, Penedo Manuel G, Ortega Marcos
Department of Computer Science, University of A Coruña; CITIC-Research Center for Information and Communication Technologies, University of A Coruña.
Department of Computer Science, University of A Coruña; CITIC-Research Center for Information and Communication Technologies, University of A Coruña;
J Vis Exp. 2018 Sep 26(139):58132. doi: 10.3791/58132.
Cardiovascular diseases (CVDs) are the leading cause of death throughout the world. The total risk of developing CVD is determined by the combined effect of different cardiovascular risk factors (e.g., diabetes, raised blood pressure, unhealthy diet, tobacco use, stress, etc.) that commonly coexist and act multiplicatively. Most CVDs can be prevented by an early identification of the highest risk factors and an appropriate treatment. The stratification of cardiovascular risk factors involves a wide range of parameters and tests that specialists use in their clinical practice. In addition to cardiovascular (CV) risk stratification, ambulatory blood pressure monitoring (ABPM) also provides relevant information for diagnostic and treatment purposes. This work presents a list of protocols based on the Hydra platform, a web-based system for clinical decision support which incorporates a set of functionalities and services that are required for complete cardiovascular analysis, risk assessment, early diagnosis, treatment and monitoring of patients over time. The program includes tools for inputting and managing comprehensive patient data, organized into different checkups to track the evolution over time. It also has a risk stratification tool to compute a CV risk factor based upon several risk stratification tables of reference. Additionally, the program includes a tool that incorporates ABPM analysis and allows the extraction of valuable information by monitoring blood pressure over a specific period of time. Finally, the reporting service summarizes the most relevant information in a set of reports that aid clinicians in their clinical decision-making process.
心血管疾病(CVDs)是全球主要的死亡原因。发生心血管疾病的总体风险取决于多种心血管危险因素(如糖尿病、高血压、不健康饮食、吸烟、压力等)的综合作用,这些因素通常同时存在且相互作用。大多数心血管疾病可以通过早期识别最高风险因素并进行适当治疗来预防。心血管危险因素的分层涉及专家在临床实践中使用的广泛参数和测试。除了心血管(CV)风险分层外,动态血压监测(ABPM)还为诊断和治疗目的提供相关信息。这项工作展示了基于九头蛇平台的一系列协议,该平台是一个基于网络的临床决策支持系统,它整合了一套完整的心血管分析、风险评估、早期诊断、治疗以及对患者长期监测所需的功能和服务。该程序包括用于输入和管理综合患者数据的工具,这些数据按不同检查进行组织,以跟踪随时间的演变。它还有一个风险分层工具,可根据多个参考风险分层表计算心血管风险因素。此外,该程序包括一个整合动态血压监测分析的工具,并允许通过在特定时间段内监测血压来提取有价值的信息。最后,报告服务在一组报告中总结了最相关的信息,以帮助临床医生进行临床决策。