Vonesh M J, Cork R C, Mylrea K C
Department of Cardiology, Northwestern University Medical School, Evanston, IL.
J Clin Monit. 1991 Oct;7(4):294-303. doi: 10.1007/BF01619348.
Accurate hemodynamic monitoring is essential for the clinical management of the recipient of a total artificial heart (TAH). The high incidence of pulmonary congestive disorders in this population complicates this already formidable task. Lack of diagnostic pulmonary artery pressure (PAP) information is recognized as a fundamental source of these problems. Because conventional methods of obtaining hemodynamic information are difficult to implement in TAH recipients, improvement of TAH case management depends on the development of innovative monitoring strategies. Noninvasive monitoring techniques have been developed for three (right atrial pressure, left atrial pressure, and aortic pressure) of the four auxiliary circulatory pressures used to quantify hemodynamic performance. Development of the fourth, for PAP, was the subject of this work. We developed a noninvasive, in vitro method of estimating mean PAP in the Jarvik-7 TAH (Symbion, Inc, Salt Lake City, UT) recipient. This information was obtained by analyzing the relationship between the pneumatic right drive pressure (RDP) and PAP waveforms produced by a Jarvik-7 (70 ml) connected to a Donovan mock circulation and driven by a Utahdrive System IIIe Controller (Symbion, Inc, Salt Lake City, UT). Total artificial heart driver parameters (i.e., heart rate, percent systole, and vacuum) were manipulated to produce a range of ventricular filling volumes (FV), from 40 to 60 ml, for three distinct states of the pulmonary vasculature: hypotensive, normal, and hypertensive. A unique multiple-linear regression equation was derived for each FV from the RDP-PAP relationship exhibited under these conditions. Comparison of computed estimates of PAP with actual measurements showed overall average correlations of greater than 0.92, with a standard error of the estimate of less than 1.9 mm Hg. The mean difference between actual and computed PAP measurements was -0.03 +/- 2.0 Hg. Estimations were accurate within 8.5% of true PAP values. Additional experimentation revealed that while the RDP-PAP relationships are dependent on FV, they are independent of the manner in which FV was obtained. Estimates proved useful over the clinical operating range of the pneumatic heart driver, as well as over the normal physiologic range of PAP in the human. This method is readily applicable to a computer-based monitoring implementation, although its effectiveness needs to be demonstrated in vivo.
准确的血流动力学监测对于全人工心脏(TAH)接受者的临床管理至关重要。该人群中肺充血性疾病的高发病率使这项本就艰巨的任务变得更加复杂。缺乏诊断性肺动脉压(PAP)信息被认为是这些问题的一个根本原因。由于在TAH接受者中难以实施获取血流动力学信息的传统方法,TAH病例管理的改善取决于创新监测策略的发展。已针对用于量化血流动力学性能的四个辅助循环压力中的三个(右心房压、左心房压和主动脉压)开发了非侵入性监测技术。本文的主题是开发用于第四个压力即PAP的监测技术。我们开发了一种非侵入性的体外方法来估计Jarvik - 7型TAH(Symbion公司,犹他州盐湖城)接受者的平均PAP。通过分析连接到多诺万模拟循环并由犹他驱动系统IIIe控制器(Symbion公司,犹他州盐湖城)驱动的Jarvik - 7型(70毫升)产生的气动右驱动压力(RDP)与PAP波形之间的关系来获取此信息。操纵全人工心脏驱动参数(即心率、收缩期百分比和真空度),以产生40至60毫升的一系列心室充盈量(FV),用于肺血管系统的三种不同状态:低血压、正常和高血压。根据在这些条件下呈现的RDP - PAP关系,为每个FV推导了一个独特的多元线性回归方程。将计算得到的PAP估计值与实际测量值进行比较,结果显示总体平均相关性大于0.92,估计标准误差小于1.9毫米汞柱。实际PAP测量值与计算值之间的平均差值为 - 0.03±2.0汞柱。估计值在真实PAP值的8.5%范围内准确。进一步的实验表明,虽然RDP - PAP关系取决于FV,但它们与获得FV的方式无关。结果证明,在气动心脏驱动的临床操作范围内以及人类PAP的正常生理范围内,这些估计值都是有用的。这种方法很容易应用于基于计算机的监测实施,尽管其有效性需要在体内得到证实。