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Estimation of the total peripheral resistance baroreflex impulse response from spontaneous hemodynamic variability

机译:自发性血流动力学变异性估算总外周阻力压力反射反应

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First published November 2, 2007; doi:10.1152/ajpheart.00852.2007.-We previously developed a mathematical analysis technique for estimating the static gain values of the arterial total peripheral resistance (TPR) baroreflex (GA) and the cardiopulmonary TPR baroreflex (Gc) from small, spontaneous beat-to-beat fluctuations in arterial blood pressure, cardiac output, and stroke volume. Here, we extended the mathematical analysis so as to also estimate the entire arterial TPR baroreflex impulse response [hA(t)] as well as the lumped arterial compliance (AC). The extended technique may therefore provide a linear dynamic characterization of TPR baroreflex systems during normal physiological conditions from potentially noninvasive measurements. We theoretically evaluated the technique with respect to realistic spontaneous hemodynamic variability generated by a cardiovascular simulator with known system properties. Our results showed that the technique reliably estimated hA(t) [error = 30.2 +- 2.6% for the square root of energy (EA), 19.7 +- 1.6% for absolute peak amplitude (Falpha), 37.3 +- 2.5% for GA, and 33.1 +- 4.9% for the overall time constant] and AC (error -17.6 +- 4.2%) under various simulator parameter values and reliably tracked changes in Gc- We also experimentally evaluated the technique with respect to spontaneous hemodynamic variability measured from seven conscious dogs before and after chronic arterial baroreceptor denervation. Our results showed that the technique correctly predicted the abolishment of ha(t) [Ea = 1.0 +- 0.2 to 0.3 +- 0.1, PA = 0.3 +- 0.1 to 0.1 +- 0.0 s~(-1), and GA = -2.1 +- 0.6 to 0.3 +- 0.2 (P < 0.05)] and the enhancement of G_c [-0.7 +- 0.44 to ~(-1).8 +- 0.2 (F < 0.05)] following the chronic intervention. Moreover, the technique yielded estimates whose values were consistent with those reported with more invasive and/or experimentally difficult methods.
机译:首次发布于2007年11月2日; doi:10.1152 / ajpheart.00852.2007.-我们之前开发了一种数学分析技术,用于从小的自发搏动开始估算动脉总外周阻力(TPR)压力反射(GA)和心肺TPR压力反射(Gc)的静态增益值动脉血压,心输出量和中风量的心跳波动。在这里,我们扩展了数学分析,以便还估计整个动脉TPR压力反射反射响应[hA(t)]以及集总动脉顺应性(AC)。因此,扩展技术可以根据潜在的非侵入性测量在正常生理条件下提供TPR压力反射系统的线性动态特征。我们从理论上对具有已知系统特性的心血管模拟器产生的实际自发性血流动力学变异性评估了该技术。我们的结果表明,该技术可靠地估计了hA(t)[误差=能量平方根(EA)的30.2 +-2.6%,绝对峰值幅度(Falpha)的19.7 +-1.6%,GA的37.3 +-2.5% ,以及在各种模拟器参数值下的总时间常数为33.1±-4.9%]和交流电(误差为-17.6±-4.2%),并且可以可靠地跟踪Gc的变化。我们还通过实验评估了该技术相对于自发性血液动力学变化的测量七只自觉的狗在慢性动脉压力感受器去神经前后。我们的结果表明,该技术正确预测了ha(t)的废除[Ea = 1.0 +-0.2至0.3 +-0.1,PA = 0.3 +-0.1至0.1 +-0.0 s〜(-1),GA =- 2.1 +-0.6至0.3 +-0.2(P <0.05)]和慢性干预后G_c [-0.7 +-0.44至〜(-1).8 +-0.2(F <0.05)]的增强。此外,该技术得出的估计值与采用更具侵入性和/或实验上更困难的方法报告的值一致。

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