Entrainment-based mechanical ventilation

基于夹带的机械通气

基本信息

批准号：
7814084
负责人：
CHI-SANG POON
金额：
$ 47.09万
依托单位：
MASSACHUSETTS INSTITUTE OF TECHNOLOGY
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-09-24 至 2011-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7814084
关键词：
5 year old Accident and Emergency department Accounting Acute Acute respiratory failure Address Animals Area Basic Life Support Biomedical Engineering Brain Breathing Cardiac Output Chronic Clinic Clinical Clinical Engineering Clinical Research Clinical Trials Coupled Dancing Development Dysbarism Economic Inflation Effectiveness Engineering Environmental air flow Funding Future Gases Generations Goals Home environment Hospitalization Incidence Individual Intensive Care Units Interdisciplinary Study Laboratories Lead Learning Life Long-Term Care Mechanical Ventilators Mechanical ventilation Mechanics Mediating Medical Memory Nosocomial Infections Operating Rooms Panthera leo Patients Persons Phase Physics Procedures Process Pulmonary Gas Exchange Recovery Reflex action Rehabilitation therapy Research Personnel Respiratory Failure Risk Safety Solutions Staging Techniques Technology Testing Translating Translational Research United States National Institutes of Health Ventilator Ventilator Weaning Weaning Work of Breathing awake base clinical application clinical care comparative effectiveness cost cost effective effectiveness research fighting hazard improved insight mortality new technology novel pressure programs prototype public health relevance research clinical testing respiratory technology development theories tool

项目摘要

DESCRIPTION (provided by applicant): This application addresses broad Challenge Area (15) Translational Science, and specific Challenge Topic, 15- RR-101* Applied Translational Technology Development. Mechanical ventilation is a life support procedure that is indicated for a wide variety of acute or chronic respiratory failure conditions. A major technological challenge facing mechanical ventilation in awake patients with spontaneous breathing activity is how to synchronize the ventilator rhythm with the patient's breathing effort smoothly and effectively. Dyssynchrony could lead to patient discomfort, increased work of breathing and risk of barotrauma, as well as decreases in pulmonary gas exchange efficiency and in cardiac output. Current generation of mechanical ventilators either control the breathing rhythm completely independent of the patient (ventilator-based ventilation), or let the patient trigger the ventilator breath by breath (patient-based ventilation). Neither approach is optimal. We propose a new mode of mechanical ventilation (entrainment-based mechanical ventilation, EMV) that is based on the classical physics theory of mutual entrainment between coupled oscillators, which may provide a cost- effective solution to the problem of patient-ventilator synchrony. This novel technique is motivated by our recent discovery that the brain circuits that control breathing are capable of entraining to a ventilator and adapting to it through learning and memory of the vagally-mediated Hering-Breuer inflation reflex. In EMV, the patient's spontaneous rhythm and the ventilator rhythm are phase-locked to one another on the same tempo, just like two individuals dancing together. The goal of this RC1 project is to transition the base technology from animal studies in the laboratory into the clinic, by first building and bench-testing a prototype of EMV that is suitable for clinical testing (Aim 1) and then carrying out a clinical trial to evaluate its safety and efficacy in comparison with other mechanical ventilation modes such as pressure support ventilation and proportional assist ventilation (Aim 2). Toward this goal, an interdisciplinary research team comprised of a basic researcher/ bioengineer (the PI), a clinician (Co-PI) and a technology developer (Covidien/Puritan-Bennett) has been formed to address the underlying scientific, engineering and clinical problems. Our primary goal is to verify that EMV can be delivered safely and is well tolerated by patients. Secondly, in comparison with pressure support ventilation and proportional assist ventilation we anticipate that entrainment-based ventilation will be: 1) less dependent on patient triggering, hence minimizing the work of breathing: 2) more robust to variabilities of respiratory mechanical parameters and thus should be more stable; 3) more cost-effective in that it does not require sophisticated servo mechanisms to control the instantaneous ventilator pressure. The results will provide valuable insights for further development and optimization of the EMV mode in order to maximize patient-ventilator synchrony in a cost-effective manner, and will lay the groundwork for large-scale clinical testing of its efficacy in comparison with other modes of mechanical ventilation in future. Mechanical ventilation is a basic life support procedure that is integral to any intensive care unit, emergency room, ambulatory unit or ventilator weaning facility, and is ubiquitous in many medical units and rehabilitation or long-term care facilities, including the patient's own home. PUBLIC HEALTH RELEVANCE: A major longstanding problem in delivering mechanical ventilation to patients who can still breathe on their own to some extent is how to synchronize the ventilator rhythm to the patient's spontaneous breathing rhythm so they do not "fight" each other to cause hazards. This project will evolve a novel mechanical ventilation technique called "entrainment-based mechanical ventilation" which will provide a safe and cost-effective solution to this clinical problem.

描述（由申请人提供）：本申请涉及广泛的挑战领域 (15) 转化科学，以及具体的挑战主题 15-RR-101* 应用转化技术开发。机械通气是一种生命支持程序，适用于各种急性或慢性呼吸衰竭病症。对于具有自主呼吸活动的清醒患者进行机械通气面临的一个主要技术挑战是如何使呼吸机节律与患者的呼吸努力平稳有效地同步。不同步可能导致患者不适、呼吸功增加和气压伤风险，以及肺气体交换效率和心输出量降低。当前一代机械呼吸机要么完全独立于患者控制呼吸节律（基于呼吸机的通气），要么让患者通过呼吸触发呼吸机呼吸（基于患者的通气）。这两种方法都不是最佳的。我们提出了一种新的机械通气模式（基于夹带的机械通气，EMV），该模式基于耦合振荡器之间相互夹带的经典物理理论，这可能为患者-呼吸机同步问题提供一种经济高效的解决方案。这项新技术的灵感来自于我们最近的发现，即控制呼吸的大脑回路能够通过迷走神经介导的 Hering-Breuer 膨胀反射的学习和记忆来引导呼吸机并适应呼吸机。在 EMV 中，患者的自发节律和呼吸机节律以相同的节奏相互锁相，就像两个人一起跳舞一样。该 RC1 项目的目标是将基础技术从实验室动物研究过渡到临床，首先构建并测试适合临床测试（目标 1）的 EMV 原型，然后进行临床试验与压力支持通气和比例辅助通气等其他机械通气模式相比，评估其安全性和有效性（目标 2）。为了实现这一目标，成立了一个由基础研究员/生物工程师 (PI)、临床医生 (Co-PI) 和技术开发人员 (Covidien/Puritan-Bennett) 组成的跨学科研究团队，以解决基础科学、工程和临床问题。问题。我们的主要目标是验证 EMV 可以安全输送并且患者耐受性良好。其次，与压力支持通气和比例辅助通气相比，我们预计基于夹带的通气将：1）较少依赖患者触发，因此最大限度地减少呼吸功：2）对呼吸机械参数的变化更加鲁棒，因此应该更加稳定； 3）更具成本效益，因为它不需要复杂的伺服机构来控制瞬时呼吸机压力。研究结果将为 EMV 模式的进一步开发和优化提供宝贵的见解，以便以经济有效的方式最大限度地提高患者与呼吸机的同步性，并为其与其他模式相比的功效进行大规模临床测试奠定基础。未来机械通气。机械通气是一种基本的生命支持程序，是任何重症监护病房、急诊室、门诊病房或呼吸机脱机设施不可或缺的一部分，并且在许多医疗单位和康复或长期护理机构（包括患者自己的家中）中普遍存在。公众健康相关性：为在一定程度上仍能自主呼吸的患者提供机械通气的一个长期存在的主要问题是如何使呼吸机节律与患者的自主呼吸节律同步，这样它们就不会互相“争斗”而造成危险。该项目将开发一种称为“基于夹带的机械通气”的新型机械通气技术，该技术将为这一临床问题提供安全且具有成本效益的解决方案。