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Diastolic chamber properties of the left ventricle assessed by global fitting of pressure-volume data: improving the gold standard of diastolic function

机译:通过压力量数据的整体拟合评估左心室舒张室性质:改善舒张功能的金标准

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摘要

In cardiovascular research, relaxation and stiffness are calculated from pressure-volume (PV) curves by separately fitting the data during the isovolumic and end-diastolic phases (end-diastolic PV relationship), respectively. This method is limited because it assumes uncoupled active and passive properties during these phases, it penalizes statistical power, and it cannot account for elastic restoring forces. We aimed to improve this analysis by implementing a method based on global optimization of all PV diastolic data. In 1,000 Monte Carlo experiments, the optimization algorithm recovered entered parameters of diastolic properties below and above the equilibrium volume (intraclass correlation coefficients = 0.99). Inotropic modulation experiments in 26 pigs modified passive pressure generated by restoring forces due to changes in the operative and/or equilibrium volumes. Volume overload and coronary microembolization caused incomplete relaxation at end diastole (active pressure > 0.5 mmHg), rendering the end-diastolic PV relationship method ill-posed. In 28 patients undergoing PV cardiac catheterization, the new algorithm reduced the confidence intervals of stiffness parameters by one-fifth. The Jacobian matrix allowed visualizing the contribution of each property to instantaneous diastolic pressure on a per-patient basis. The algorithm allowed estimating stiffness from single-beat PV data (derivative of left ventricular pressure with respect to volume at end-diastolic volume intraclass correlation coefficient = 0.65, error = 0.07 ± 0.24 mmHg/ml). Thus, in clinical and preclinical research, global optimization algorithms provide the most complete, accurate, and reproducible assessment of global left ventricular diastolic chamber properties from PV data. Using global optimization, we were able to fully uncouple relaxation and passive PV curves for the first time in the intact heart.
机译:在心血管研究中,分别通过在等容期和舒张末期(舒张末期PV关系)期间分别拟合数据,根据压力-体积(PV)曲线计算松弛度和刚度。此方法之所以受到限制是因为它在这些阶段中假定了主动和被动的耦合特性,不利于统计能力,并且无法考虑弹性恢复力。我们旨在通过实施基于所有PV舒张期数据的全局优化的方法来改善此分析。在1,000个蒙特卡洛实验中,优化算法恢复了在平衡体积以下和之上的舒张特性的输入参数(类内相关系数= 0.99)。在26头猪的正性肌力调制实验中,由于操作和/或平衡体积的变化,由恢复力产生的被动压力得到了修正。容量超负荷和冠状动脉微栓塞导致舒张末期舒张不完全(活动压力> 0.5 mmHg),使舒张末期PV关系法不适当地发生。在28例接受PV心导管检查的患者中,新算法将刚度参数的置信区间减少了五分之一。雅可比矩阵使每位患者可视化每个属性对瞬时舒张压的贡献。该算法允许根据单搏动PV数据(左心室压力相对于舒张末期容积内的容积的类内相关系数的导数= 0.65,误差= 0.07±0.24 mmHg / ml)推导刚度。因此,在临床和临床前研究中,全局优化算法可根据PV数据对全局左心室舒张室特性进行最完整,准确和可重现的评估。使用全局优化,我们能够在完整的心脏中首次完全解除松弛和被动PV曲线的耦合。

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