Quantifying Left Ventricular Ejection Effectiveness
量化左心室射血效率
基本信息
- 批准号:7280411
- 负责人:
- 金额:$ 51.77万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2004
- 资助国家:美国
- 起止时间:2004-08-15 至 2009-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (provided by applicant):
Asynchronous left ventricular (LV) contraction is the most common cardiac abnormality and, if severe, impairs LV pump function, induces cardiac dilation and heart failure remodeling. Ventricular pacing usually increases contraction asynchrony and induces cardiac dilation even when contractility is normal. We hypothesize that LV contraction asynchrony reduces LV ejection efficiency, defined by the ratio of LV stroke work to myocardial O2 consumption (MVO2), by causing LV dilation without altering intrinsic contractility. We define LV ejection effectiveness as the synchrony of contraction of all contractile elements. Importantly, recent clinical trials of cardiac resynchronization therapy (CRT) in patients with dilated cardiomyopathy and prolonged QRS have shown that gated bi-ventricular pacing improves LV ejection pressure, decreases cardiac volumes and induces reverse remodeling in some but not all subjects. We hypothesize that all the beneficial effects of CRT come from its ability to improve LV contraction synchrony. We believe that these clinically opposite effects of pacing are explained by opposite changes in contraction synchrony. The relation between MVO2, LV ejection asynchrony and ejection effectiveness is unknown. We will develop a novel application of the assessment of LV ejection efficiency combining regional phase angle analysis with Fourier analysis of both phase angle and amplitude dispersion from echocardiographic data. We propose to quantify this asynchrony at the bedside in both animal and human models using tissue Doppler imaging (TDI). We have recently developed and validated a quantitative model to assess LV ejection effectiveness using regional phase angle analysis. However, this technique requires invasive monitoring and are not suitable for general clinical use. Importantly, we have also developed and validated quantitative methods of analyzing transthoracic echocardiographic LV images using TDI and acoustic quantification (AQ) algorithms. These powerful non-invasive tools allow us to define regional myocardial movement. Presently, there is no established method of analyzing these data to objectively quantify contraction asynchrony. We propose to couple our asynchrony analysis with our quantitative AQ and TDI techniques to create a clinically relevant tool to assess LV ejection effectiveness. We will use our established isolated perfused rabbit heart (Langendorf preparation) model to validate the relation between MVO2 and asynchronous LV contraction. We will use our intact anesthetized canine model under conditions of varying contraction asynchrony induced by selective pacing, mock CRT and regional ischemia and reperfusion to create an on-line TDI analysis algorithm. Finally, we shall study human subjects before and after CRT and non-CRT subjects to ascertain if we can predict which subjects will benefit from CRT and where in the ventricle CRT pacing would be optimal. Potentially, CRT could be used in subjects before they develop heart failure remodeling. We will test two related hypotheses. First, that increased global LV asynchrony induces parallel shifts in LV volume for a constant ejection pressure such that MVO2 increases as a function of the parallel shift of the LV end-systolic pressure-volume relation. Second, that LV ejection effectiveness, measured by AQ and TDI in both clinically relevant canine models of LV contraction asynchrony and humans with cardiac disease, can be quantified as both the sum of the amplitude-corrected phase angle dispersion among LV regions and as the cross correlation of amplitude-corrected phase angles. The ultimate goal of this proposal is to develop and validate an echocardiographic-based algorithm that quantifies LV ejection effectiveness by merging both power and synchrony of contraction into a common metric.
描述(由申请人提供):
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)
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MICHAEL R PINSKY其他文献
MICHAEL R PINSKY的其他文献
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{{ 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:
$ 51.77万 - 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)
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10359812 - 财政年份:2019
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$ 51.77万 - 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:
$ 51.77万 - 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:
$ 51.77万 - 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:
$ 51.77万 - 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:
$ 51.77万 - 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:
$ 51.77万 - 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:
$ 51.77万 - 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:
$ 51.77万 - 项目类别:
Heart-Lung Interactions & Cardiovascular Insufficiency
心肺相互作用
- 批准号:
6418634 - 财政年份:2002
- 资助金额:
$ 51.77万 - 项目类别:
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