Heart-Lung Interactions & Cardiovascular Insufficiency

心肺相互作用

基本信息

项目摘要

We shall use the clinical analysis of heart-lung interactions as the vehicle for training post-doctoral candidates. This is an excellent and proven productive pathway for mentoring because it is based in clinically relevant cardiopulmonary physiology and requires the trainee to learn to use state-of-the-art imaging techniques with broad applications to the operating room, ICU, general hospital ward and out- patient clinic. Ventilation and ventilatory maneuvers have profound and often poorly understood hemodynamic effects especially in the setting of cardio-respiratory failure. Although numerous investigators have studied heart-lung interactions, an accurate clinical application has been lacking. Our goal is to develop and validate clinically relevant and easily applicable bedside tools for the rapid and unambiguous diagnosis of the etiology of hemodynamic insufficiency and the impact of ventilatory and adjunct cardiovascular therapies upon it. We use as our research environment, the echocardiographic clinic and the cardiac surgery suite. To accomplish these goals we are testing three hypothesis: 1) Ventilation-induced changes in LV preload and afterload are non-linear between forceful and relaxed spontaneous and positive- pressure inspiration. 2) Low levels of positive end-expiratory pressure improve LV performance by minimizing ventricular interdependence and LV ejection asynchrony by increasing ITP. 3) LV contractile reserve and preload responsiveness (often opposite ends of the cardiac function spectrum) and arterial tone can be readily identified by analysis of the arterial pulse pressure responses to spontaneous and positive-pressure ventilation. We shall use state-of-the-art echocardiographic imaging techniques (acoustic quantification and tissue Doppler imaging) for complex analysis of LV performance and simple aortic-pulsed Doppler and arterial pressure waveform analysis to assess preload-responsiveness, contractile reserve and arterial tone to derive clinically useful information.
我们将使用心肺相互作用的临床分析作为培养博士后候选人的工具。这是一种优秀且经过验证的有效指导途径,因为它基于临床相关的心肺生理学,要求受训者学习使用最先进的成像技术,广泛应用于手术室、ICU、综合医院病房和门诊。通气和辅助操作对血流动力学的影响很大,但人们对这种影响了解甚少,特别是在心肺衰竭的情况下。虽然许多研究人员已经研究了心肺相互作用,但缺乏准确的临床应用。我们的目标是开发和验证临床相关的和易于应用的床边工具,用于快速和明确的诊断血流动力学功能不全的病因,以及辅助和辅助心血管治疗对其的影响。为了实现这些目标,我们测试了三个假设:1)在强有力和放松的自发和正压吸气之间,LV前负荷和后负荷的通气诱导变化是非线性的。2)低水平的呼气末正压通过减少心室相互依赖性改善LV性能,通过增加ITP改善LV射血功能。3)LV收缩储备和前负荷反应性(通常是心脏功能谱的两端)和动脉张力可以通过分析对自发和正压通气的动脉脉压反应来容易地识别。我们将使用最先进的超声心动图成像技术(声学定量和组织多普勒成像)对LV性能进行复杂分析,并使用简单的多普勒脉冲和动脉压波形分析来评估前负荷反应性、收缩储备和动脉张力,以获得临床有用的信息。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

MICHAEL R PINSKY其他文献

MICHAEL R PINSKY的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('MICHAEL R PINSKY', 18)}}的其他基金

Autonomous diagnosis and management of the critically ill during air transport (ADMIT)
航空运输中危重病人的自主诊断和管理(ADMIT)
  • 批准号:
    9912846
  • 财政年份:
    2019
  • 资助金额:
    $ 13.21万
  • 项目类别:
Autonomous diagnosis and management of the critically ill during air transport (ADMIT)
航空运输中危重病人的自主诊断和管理(ADMIT)
  • 批准号:
    10359812
  • 财政年份:
    2019
  • 资助金额:
    $ 13.21万
  • 项目类别:
Machine learning of physiological variables to predict diagnose and treat cardiorespiratory instability
机器学习生理变量来预测诊断和治疗心肺不稳定
  • 批准号:
    9029396
  • 财政年份:
    2016
  • 资助金额:
    $ 13.21万
  • 项目类别:
Quantifying Left Ventricular Ejection Effectiveness
量化左心室射血效率
  • 批准号:
    7142444
  • 财政年份:
    2004
  • 资助金额:
    $ 13.21万
  • 项目类别:
Quantifying Left Ventricular Ejection Effectiveness
量化左心室射血效率
  • 批准号:
    7280411
  • 财政年份:
    2004
  • 资助金额:
    $ 13.21万
  • 项目类别:
Quantifying Left Ventricular Ejection Effectiveness
量化左心室射血效率
  • 批准号:
    6821586
  • 财政年份:
    2004
  • 资助金额:
    $ 13.21万
  • 项目类别:
Quantifying Left Ventricular Ejection Effectiveness
量化左心室射血效率
  • 批准号:
    6937215
  • 财政年份:
    2004
  • 资助金额:
    $ 13.21万
  • 项目类别:
Heart-Lung Interactions & Cardiovascular Insufficiency
心肺相互作用
  • 批准号:
    6889992
  • 财政年份:
    2002
  • 资助金额:
    $ 13.21万
  • 项目类别:
Heart-Lung Interactions & Cardiovascular Insufficiency
心肺相互作用
  • 批准号:
    8078075
  • 财政年份:
    2002
  • 资助金额:
    $ 13.21万
  • 项目类别:
Heart-Lung Interactions & Cardiovascular Insufficiency
心肺相互作用
  • 批准号:
    6620534
  • 财政年份:
    2002
  • 资助金额:
    $ 13.21万
  • 项目类别:

相似海外基金

Mindful Steps: A Web-Based Mind-Body Exercise Intervention to Promote Physical Activity in Chronic Cardiopulmonary Disease
正念步骤:基于网络的身心运动干预,促进慢性心肺疾病的体力活动
  • 批准号:
    10732824
  • 财政年份:
    2023
  • 资助金额:
    $ 13.21万
  • 项目类别:
Integrative Research Training Program in Pediatric Cardiopulmonary Disease
小儿心肺疾病综合研究培训计划
  • 批准号:
    10714157
  • 财政年份:
    2023
  • 资助金额:
    $ 13.21万
  • 项目类别:
Implementing Effective Smoking Cessation Pharmacotherapy for Hospitalized Smokers with Cardiopulmonary Disease
对患有心肺疾病的住院吸烟者实施有效的戒烟药物治疗
  • 批准号:
    10588125
  • 财政年份:
    2022
  • 资助金额:
    $ 13.21万
  • 项目类别:
Implementing Effective Smoking Cessation Pharmacotherapy for Hospitalized Smokers with Cardiopulmonary Disease
对患有心肺疾病的住院吸烟者实施有效的戒烟药物治疗
  • 批准号:
    10367000
  • 财政年份:
    2022
  • 资助金额:
    $ 13.21万
  • 项目类别:
Identifying the mechanisms for the effects of air pollution on cardiopulmonary disease in Beijing, China
确定中国北京空气污染对心肺疾病影响的机制
  • 批准号:
    NE/S006729/2
  • 财政年份:
    2020
  • 资助金额:
    $ 13.21万
  • 项目类别:
    Research Grant
Identifying the mechanisms for the effects of air pollution on cardiopulmonary disease in Beijing, China
确定中国北京空气污染对心肺疾病影响的机制
  • 批准号:
    NE/S006729/1
  • 财政年份:
    2019
  • 资助金额:
    $ 13.21万
  • 项目类别:
    Research Grant
The Impact of Bundled Payments for Cardiopulmonary Disease on High-Risk Populations
心肺疾病捆绑支付对高危人群的影响
  • 批准号:
    9917818
  • 财政年份:
    2019
  • 资助金额:
    $ 13.21万
  • 项目类别:
The Impact of Bundled Payments for Cardiopulmonary Disease on High-Risk Populations
心肺疾病捆绑支付对高危人群的影响
  • 批准号:
    10399472
  • 财政年份:
    2019
  • 资助金额:
    $ 13.21万
  • 项目类别:
Air Pollution Impacts on Cardiopulmonary Disease in Beijing: An integrated study of Exposure Science, Toxicogenomics and Environmental Epidemiology
北京空气污染对心肺疾病的影响:暴露科学、毒理基因组学和环境流行病学的综合研究
  • 批准号:
    NE/N007182/1
  • 财政年份:
    2016
  • 资助金额:
    $ 13.21万
  • 项目类别:
    Research Grant
Effects of Air Pollution on Cardiopulmonary Disease in Urban and Peri-Urban Residents in Beijing
空气污染对北京市城区及城郊居民心肺疾病的影响
  • 批准号:
    NE/N007085/1
  • 财政年份:
    2016
  • 资助金额:
    $ 13.21万
  • 项目类别:
    Research Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了