Integrated cardiopulmonary modelling for the investigation of the management of disturbed tissue perfusion

用于研究组织灌注紊乱管理的综合心肺模型

• 批准号: G1002017/1
• 负责人: Jonathan Hardman
• 金额: $ 22.01万
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=G1002017%2F1
• 关键词: Integrated; cardiopulmonary; modelling; investigation; management

The management of low cardiac output states (where inadequate blood flows to the organs, causing organ damage) is poorly researched. These ?shock? states are a common feature of critical illness, and consume a large part of the healthcare budget. Previous attempts to investigate shock states have had conflicting results because of the complexity of human and animal models, and the difficulty of measuring outcomes of interest. This issue could be investigated in great detail and depth using computer simulation of multiple organs, and this is the basis of our proposed project. Findings from this research will be directly applicable to critically ill patients, and have the potential to save many lives and reduce healthcare expenditure.Step 1: We will design and develop ground-breaking computer simulations of heart, blood vessels and tissue. We will combine these with our existing, published lung simulation. The resulting, multiple organ simulation will include great detail of the structure and function of these organ systems and will allow very detailed interrogation of microscopic areas to determine the interaction between organ systems and treatment strategies in critically ill patients.Step 2: We will apply ground-breaking validation (testing) techniques to test and improve the accuracy and usefulness of the new multi-organ models; these will include techniques from space and flight-control engineering and techniques designed in our labs for ?smart? validation against individual patient monitoring data and previous clinical studies.Step 3: Using the multi-organ models we will investigate the disturbed physiology of shock states and potential treatment strategies. Initially, we will address poorly understood aspects of the disorder of normal function, and the potential to affect tissue blood flow and oxygenation (e.g. how does lung-protective life-support affect organ oxygenation during shock?). Step 4: Using the knowledge generated in the previous phase, we will construct simple algorithms for the management of various types of shock state and test these in a large population of simulated subjects, assessing the ability of the algorithms to improve outcome from shock.Outcomes: Successful completion of the project will yield novel multi-organ models that may be re-used in investigating critical illness, greater understanding of shock states and potential treatment pathways, and, finally, treatments that may be used in patient care to optimise methods of treating critically ill patients with shock states.

对低心输出量状态（流向器官的血液不足，导致器官损伤）的管理研究不足。这些吗震惊？状态是危重病的一个共同特征，并且消耗了医疗保健预算的很大一部分。由于人类和动物模型的复杂性，以及测量感兴趣的结果的困难，以前研究休克状态的尝试具有相互矛盾的结果。这个问题可以通过多器官的计算机模拟进行详细和深入的研究，这是我们提出的项目的基础。这项研究的结果将直接适用于重症患者，并有可能挽救许多生命，减少医疗费用。第一步：我们将设计和开发突破性的心脏，血管和组织的计算机模拟。我们将把这些联合收割机与我们现有的已发表的肺模拟相结合。由此产生的多器官模拟将包括这些器官系统的结构和功能的详细信息，并将允许非常详细的微观区域的询问，以确定危重患者器官系统和治疗策略之间的相互作用。第二步：我们将应用突破性的验证（测试）技术来测试和提高新的多器官模型的准确性和实用性;这些技术将包括来自空间和飞行控制工程的技术，以及在我们的实验室中设计的技术，聪明吗步骤3：使用多器官模型，我们将研究休克状态的受干扰生理学和潜在的治疗策略。首先，我们将解决对正常功能障碍知之甚少的方面，以及影响组织血流和氧合的可能性（例如，在休克期间，肺保护性生命支持如何影响器官氧合？）。第四步：利用前一阶段中生成的知识，我们将构建用于管理各种类型休克状态的简单算法，并在大量模拟受试者中测试这些算法，评估算法改善休克结局的能力。该项目的成功完成将产生新的多器官模型，可用于研究危重疾病，更好地了解休克状态和潜在的治疗途径，以及最后，可能用于患者护理的治疗方法，以优化休克状态危重患者的治疗方法。