Development of a Multi-scale closed loop model for hemorrhagic shock: a platform to assess REBOA performance
失血性休克多尺度闭环模型的开发:评估 REBOA 性能的平台
基本信息
- 批准号:10669644
- 负责人:
- 金额:$ 70.67万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-08-01 至 2027-07-31
- 项目状态:未结题
- 来源:
- 关键词:3-DimensionalAbdomenAccelerationAddressAdoptedAnimal ExperimentationAnimal ModelAnimalsAortaBalloon OcclusionBaroreflexBehaviorBiologicalBiological MarkersBlood VesselsBlood VolumeBlood flowCardiac OutputCardiovascular systemCathetersCessation of lifeChestClinicalComputer ModelsComputer softwareCoupledDevelopmentDevicesDistalEngineeringEnvironmentEvaluationFamily suidaeFeedbackGrowthHemorrhageHemorrhagic ShockHomeostasisInjuryInstitutionInterventionIschemiaKidneyKidney FailureKnowledgeLiquid substanceMechanicsMethodsMilitary PersonnelModelingOxygenPerformancePerfusionPhasePhysiciansPhysiologicalPre-Clinical ModelPreclinical TestingRenal functionReperfusion InjuryReperfusion TherapyResearchResuscitationRiskScientistShockStentsSumTechniquesTestingTimeTrainingTraumaTraumatic injuryValidationVena Cava FiltersVenousWorkcomputer frameworkcomputerized toolsdesignhemodynamicsimprovedin silicoin vivoindexinginnovationminimally invasivemulti-scale modelingmultidisciplinarynext generationnovelopen sourceoxygen transportporcine modelpressurepreventpreventable deathresponserisk mitigationshear stresssimulation environmenttool
项目摘要
Project Summary
Hemorrhagic shock is the leading cause of preventable death after a traumatic injury, and accounts for 91% of
military and 35% of civilian fatalities after trauma. Injuries to non-compressible intracavity regions, such as the
torso and abdomen, are a major clinical challenge due to a lack of appropriate interventions, and represent 30-
40% of early fatalities. To address this problem, endovascular hemorrhage control (EHC) devices and minimally
invasive techniques such as Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA) have been
increasingly adopted. REBOA involves full inflation of a balloon catheter in the aorta, which restricts blood flow
distal to the occlusion and consequently minimizes bleeding. While REBOA is effective at restoring proximal
perfusion, the reductions in blood flow can result in ischemia-reperfusion injuries that increase the risk of
subsequent renal failure. As such, there is a pressing need to identify optimal occlusion size, timing, and duration
of REBOA deployment. To date, these important knowledge gaps are hindered by expensive and time intensive
large animal models that slow the pace of innovation. To address this major gap, we propose to develop and
validate a novel multi-scale computational model that will allow us to simulate the in vivo physiologic response
to hemorrhagic shock. Using a 3D-0D closed loop approach of the cardiovascular system, we will be able to
simulate the critical feedback loops and biologic response functions to render a physiologically relevant model.
These methods have been previously used to inform the design of cardiovascular stents and inferior vena cava
filters, but none to our knowledge have been exploited for the evaluation of REBOA or any other EHC device.
Our central hypothesis is that computational modeling of blood flow within the aorta and systemic vascular
network will generate accurate and robust values for pressure, flow and shear rates within 5% error, closely
mimicking in vivo behavior. The objective is to use this computational framework to: 1) quantify the local and
systemic hemodynamics (i.e., pressure, flow rate, shear stress, oxygen transport, etc.) during phases of active
hemorrhage, aortic occlusion with REBOA, and resuscitation, 2) identify vascular regions that are vulnerable to
ischemic damage as a result of the altered hemodynamics, 3) predict key physiologic responses related to
vascular compliance, oxygen delivery and renal autoregulation during hemorrhage and aortic occlusion, and 4)
determine optimal aortic occlusion size and duration of partial vs. full occlusion strategies to prevent ischemia-
reperfusion injuries and renal failure. Successful development and validation of this in silico model will greatly
contribute to the preclinical testing and optimization of EHC devices, minimizing the need for large animal studies
and also open doors for the study of other transient hemodynamic conditions within the cardiovascular system.
项目总结
项目成果
期刊论文数量(0)
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Elaheh Rahbar其他文献
Elaheh Rahbar的其他文献
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{{ truncateString('Elaheh Rahbar', 18)}}的其他基金
Development of a Multi-scale closed loop model for hemorrhagic shock: a platform to assess REBOA performance
失血性休克多尺度闭环模型的开发:评估 REBOA 性能的平台
- 批准号:
10412269 - 财政年份:2022
- 资助金额:
$ 70.67万 - 项目类别:
An Integrated Investigation of the Interaction Between PUFAs and Genetic Variants in Trauma and Critical Care
多不饱和脂肪酸与基因变异在创伤和重症监护中相互作用的综合研究
- 批准号:
10348226 - 财政年份:2021
- 资助金额:
$ 70.67万 - 项目类别:
An Integrated Investigation of the Interaction Between PUFAs and Genetic Variants in Trauma and Critical Care
多不饱和脂肪酸与基因变异在创伤和重症监护中相互作用的综合研究
- 批准号:
10222752 - 财政年份:2017
- 资助金额:
$ 70.67万 - 项目类别:
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