Waniewski J, Werynski A, Heimbürger O, Lindholm B
Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland.
ASAIO J. 1992 Oct-Dec;38(4):788-96. doi: 10.1097/00002480-199210000-00008.
Currently used mathematical models to estimate parameters describing diffusive (diffusive mass transport coefficient, KBD) and convective (sieving coefficient, S) solute transport during peritoneal dialysis, as proposed by Pyle, Popovich, and Moncrief (PPM model) and Babb, Randerson, and Farrell (BRF model), require nonlinear regression and advanced numerical methods for parameter estimation. In this study, a simplified approach to the evaluation of KBD and S, using the same transport equation used in the PPM and BRF models but based on two-dimensional linear regression, is proposed. This new approach can be extended to generate a family of membrane models that differ in assumption concerning the average solute concentration (c) inside the peritoneal membrane. In particular, c was assumed to be equal to the arithmetic mean value of the dialysate and blood concentrations (PPM model), the blood concentration (BRF model), or the dialysate concentration (D model). The investigated family of models was used to study the transport of urea, creatinine, glucose, sodium, potassium, and total protein in 20 single, 6 hr dwell studies carried out in 20 nondiabetic patients in stable clinical condition using hypertonic (3.86%) glucose solution. For the PPM model, the linear and nonlinear regressions were able to provide almost identical values of KBD and S. The theoretical dialysate to plasma concentration ratio (D/P) was adequately fitted to experimental D/P for both the PPM and BRF models, but the fit was worse for the D model. However, unphysiologic (i.e., out of the 0-1 range) values of S were found for urea, potassium, and glucose independent of the version of the model used.
目前用于估算腹膜透析过程中描述扩散性(扩散质量传递系数,KBD)和对流性(筛分系数,S)溶质转运参数的数学模型,如派尔、波波维奇和蒙克里夫(PPM模型)以及巴布、兰德尔森和法雷尔(BRF模型)所提出的模型,需要非线性回归和先进的数值方法来进行参数估计。在本研究中,提出了一种评估KBD和S的简化方法,该方法使用与PPM和BRF模型相同的转运方程,但基于二维线性回归。这种新方法可以扩展以生成一系列膜模型,这些模型在关于腹膜内平均溶质浓度(c)的假设上有所不同。具体而言,c被假定等于透析液和血液浓度的算术平均值(PPM模型)、血液浓度(BRF模型)或透析液浓度(D模型)。所研究的模型系列被用于研究20例处于稳定临床状态的非糖尿病患者使用高渗(3.86%)葡萄糖溶液进行的20次单次6小时留腹研究中尿素、肌酐、葡萄糖、钠、钾和总蛋白的转运情况。对于PPM模型,线性回归和非线性回归能够提供几乎相同的KBD和S值。对于PPM和BRF模型,理论透析液与血浆浓度比(D/P)都能很好地拟合实验D/P,但对于D模型,拟合效果较差。然而,无论使用何种模型版本,都发现尿素、钾和葡萄糖的S值不符合生理情况(即超出0 - 1范围)。