Replacement of animal models of cardiac arrest and resuscitation strategies using a computer simulation

使用计算机模拟替换心脏骤停和复苏策略的动物模型

• 批准号: 2522834
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2522834
• 关键词: Replacement; animal; models; cardiac; arrest

Cardiac arrest may be caused by a variety of pathologies and events, causing the heart to stop pumping blood around the body and to the brain, causing loss of consciousness and cessation of breathing. Outcome may be improved significantly by the early use of cardiopulmonary resuscitation (CPR). However, the optimal combination of chest compressions and ventilation of the lungs and post-resuscitation care have not been established. Many human trials have attempted to identify the optimal CPR strategy; however the ethical constraints, time scale, the presence of confounding variables, the heterogeneity of the population and sample size present major obstacle. Similarly, many animal models fail to summarize the severity of human clinical cardiac arrest due to interspecies physiological discrepancies and lack of methodical rigour.Computational modelling offers a novel and powerful approach to research into such inaccessible issues. In contrast to trials on animal models and humans, in-silico models of individualised patient and disease-pathology are amendable to detailed validation, assuring reproducibility and translation into human application. The PhD student appointed, Clara Daudre-Vignier, is using and further developing the Interdisciplinary Collaboration in Systems Medicine (ICSM) simulation suite, a set of integrated, high-fidelity cardiopulmonary models, developed by Prof Hardman and his team, to:1. describe the pathophysiological changes associated with cardiac arrest in-silico humans2. obtain novel understanding of the pathophysiological state of cardiac arrest3. develop and test new CPR strategies4. investigate clinical management strategies after cardiac arrest5. develop new intra- and post-resuscitation individualized strategies.

心脏骤停可能是由多种病理和事件引起的，导致心脏停止向身体各处和大脑泵血，导致意识丧失和呼吸停止。早期使用心肺复苏 (CPR) 可能会显着改善结果。然而，胸外按压和肺部通气以及复苏后护理的最佳组合尚未确定。许多人体试验试图确定最佳的心肺复苏策略；然而，伦理限制、时间尺度、混杂变量的存在、人群的异质性和样本量构成了主要障碍。同样，由于种间生理差异和缺乏系统严谨性，许多动物模型无法总结人类临床心脏骤停的严重程度。计算模型为研究此类难以解决的问题提供了一种新颖而强大的方法。与动物模型和人类试验相比，个体化患者和疾病病理学的计算机模型可以进行详细验证，确保可重复性并转化为人类应用。指定的博士生 Clara Daudre-Vignier 正在使用并进一步开发系统医学跨学科协作 (ICSM) 模拟套件，这是由 Hardman 教授及其团队开发的一套集成的高保真心肺模型，目的是：1。描述与计算机模拟人类心脏骤停相关的病理生理变化2。对心脏骤停的病理生理状态有新的认识3。制定和测试新的心肺复苏策略4。研究心脏骤停后的临床管理策略5。制定新的复苏中和复苏后个性化策略。