Mechanical Augmentation of the Diaphragm for End-Stage Respiratory Failure

机械增强隔膜治疗终末期呼吸衰竭

基本信息

  • 批准号:
    10057755
  • 负责人:
  • 金额:
    $ 60.26万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-09-17 至 2023-09-16
  • 项目状态:
    已结题

项目摘要

Abstract Severe respiratory muscle weakness, specifically diaphragm dysfunction, can arise from many conditions, including trauma and neuromuscular disorders. Patients with diaphragm dysfunction experience respiratory failure due to “pump failure”, in which the mechanical pumping function of the respiratory muscles fail to generate the necessary motion and pressure gradients to drive respiratory ventilation, specifically inspiration. Moderate respiratory failure may be addressed with non-invasive ventilation, however if non-invasive ventilation techniques fail, invasive ventilation via tracheostomy is currently the only other option. Invasive ventilation is often declined by the patient due to the interference with quality of life. The major long-term goal of this project is to develop of an alternative therapeutic ventilation option based on medical soft robotics: an “implantable ventilator” based on augmenting diaphragm motion. We chose to use soft robotic actuators as they can interact nondestructively with biological tissues and can augment the mechanical motion of muscles. In order to achieve the overall objective we will build a pressurized benchtop testbed of the diaphragm to allow for rapid prototyping and testing as there is currently a lack of in vitro models of diaphragm biomechanics. We will iteratively design and test our device prototypes in the in vitro set up and in situ within pig cadavers to optimize device function. We will evaluate the final device within an in vivo porcine model. Such a device may provide patients with end-stage mechanical respiratory failure an alternative therapeutic option to invasive ventilation.
摘要

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Ellen T. Roche其他文献

Pulsatile ECMO: The Future of Mechanical Circulatory Support for Severe Cardiogenic Shock
搏动性体外膜肺氧合:严重心源性休克机械循环支持的未来
  • DOI:
    10.1016/j.jacbts.2024.02.015
  • 发表时间:
    2024-04-01
  • 期刊:
  • 影响因子:
    7.200
  • 作者:
    Douglas E. Vincent;Nader Moazami;David D’Alessandro;John F. Fraser;Silver Heinsar;Ellen T. Roche;Brian C. Ayers;Manisha Singh;Nina Langer;Shriprasad R. Deshpande;R.D.B. Jaquiss;Kiyotaka Fukamachi;Seyed Alireza Rabi;Asishana Osho;Taiyo Kuroda;Jamshid H. Karimov;Takuma Miyamoto;Palaniappan Sethu;Guruprasad A. Giridharan;Knut Kvernebo;Jack Copland
  • 通讯作者:
    Jack Copland
Design and Validation of a High-Fidelity Left Atrial Cardiac Simulator for the Study and Advancement of Left Atrial Appendage Occlusion
  • DOI:
    10.1007/s13239-025-00773-2
  • 发表时间:
    2025-01-27
  • 期刊:
  • 影响因子:
    1.800
  • 作者:
    Keegan Mendez;Manisha Singh;Patrick Willoughby;Beatrice Ncho;Aileen Liao;Susan Su;Megan Lim;Elijah Lee;Mohamad Alkhouli;Hasan Alarouri;Ellen T. Roche
  • 通讯作者:
    Ellen T. Roche
Implanted device enables responsive bladder control
植入式装置实现响应性膀胱控制
  • DOI:
    10.1038/d41586-018-07811-1
  • 发表时间:
    2019-01-02
  • 期刊:
  • 影响因子:
    48.500
  • 作者:
    Ellen T. Roche
  • 通讯作者:
    Ellen T. Roche
AI-powered multimodal modeling of personalized hemodynamics in aortic stenosis
基于人工智能的主动脉瓣狭窄个性化血流动力学多模态建模
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    C. Ozturk;Daniel H. Pak;L. Rosalia;Debkalpa Goswami;Mary E. Robakowski;Raymond McKay;Christopher T. Nguyen;James S. Duncan;Ellen T. Roche
  • 通讯作者:
    Ellen T. Roche
Implanted device enables responsive bladder control
植入式装置实现响应性膀胱控制
  • DOI:
    10.1038/d41586-018-07811-1
  • 发表时间:
    2019-01-02
  • 期刊:
  • 影响因子:
    48.500
  • 作者:
    Ellen T. Roche
  • 通讯作者:
    Ellen T. Roche

Ellen T. Roche的其他文献

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{{ truncateString('Ellen T. Roche', 18)}}的其他基金

Modulation of pressure overload in chronic animal and in vitro models to elucidate associated effects on hemodynamics and left ventricular plasticity
调节慢性动物和体外模型中的压力超负荷,以阐明对血流动力学和左心室可塑性的相关影响
  • 批准号:
    10905164
  • 财政年份:
    2023
  • 资助金额:
    $ 60.26万
  • 项目类别:

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