Weiss Michael
Section of Pharmacokinetics, Department of Pharmacology, Martin Luther University Halle-Wittenberg, D-06097 Halle, Germany.
J Appl Physiol (1985). 2009 Aug;107(2):445-9. doi: 10.1152/japplphysiol.00140.2009. Epub 2009 Jun 4.
A new approach to characterize the kinetics of intravascular mixing process is presented. The mixing time, defined as the time required for achieving 95% homogeneity, is calculated by numerical simulations using a circulatory model applied to the intravascular marker indocyanine green (ICG). The results suggest that the mixing time is determined by cardiac output and the relative dispersion of transit time distribution across the systemic circulation, whereby the rate of mixing increases with increasing cardiac output and decreasing transit time dispersion, and vice versa. The estimation of plasma volume from simulated ICG dilution data using the backextrapolation method shows that slow mixing is accompanied by an overestimation of blood volume. This error may be negligible for mixing times of less than approximately 3 min but high in disease states characterized by low cardiac output and/or high transit time dispersion. In view of the role of transit time dispersion as determinant of intravascular mixing, it would be interesting to know more about the effect of disease states on systemic transit time dispersion.
本文提出了一种表征血管内混合过程动力学的新方法。混合时间定义为达到95%均匀性所需的时间,通过使用应用于血管内标记物吲哚菁绿(ICG)的循环模型进行数值模拟来计算。结果表明,混合时间由心输出量和全身循环中通过时间分布的相对离散度决定,由此混合速率随心输出量增加和通过时间离散度降低而增加,反之亦然。使用反推法从模拟的ICG稀释数据估计血浆容量表明,缓慢混合伴随着血容量的高估。对于混合时间小于约3分钟的情况,这种误差可能可以忽略不计,但在以低心输出量和/或高通过时间离散度为特征的疾病状态中误差较大。鉴于通过时间离散度作为血管内混合决定因素的作用,进一步了解疾病状态对全身通过时间离散度的影响将很有意思。