Santoro A, Spongano M, Ferrari G, Bolzani R, Augella F, Borghi M, Briganti M, Cagnoli L, Docci D, Feletti C
Divisioni di Nefrologia e Dialisi, Bologna-Malpighi, Italy.
Kidney Int Suppl. 1993 Jun;41:S184-7.
In acetate-free biofiltration (AFB), the physical separation between the base losses and the gains could facilitate the modeling of intradialytic bicarbonate (HCO3) balance. In order to verify this hypothesis, we analyzed in a multicenter study, 126 AFB sessions in which differing parameters were evaluated (dialysis time, blood flow, ultrafiltration, infused HCO3, pre- and post-dialytic HCO3, hematocrit and body wt). Statistical analysis performed with multiple linear regression showed that the post-dialysis HCO3 was significantly dependent (F = 21.68, d.f. 5.95, P < 0.001) directly on the amount of infused HCO3, the level of pre-dialysis HCO3 and the final body weight, and inversely on the dialysis time and the blood flow. HCO3 values predicted by the statistical model correlated well with the observed ones (r = 0.788, P < 0.0001) with a mean absolute difference of 2.138 mEq/liter. This modeling approach allowed us to predict, with a computer-aided procedure, the quantities of HCO3 to be infused to obtain a desired and personalized acidosis correction.
在无醋酸盐生物滤过(AFB)中,碱基丢失与增加之间的物理分离有助于透析期间碳酸氢盐(HCO3)平衡的建模。为了验证这一假设,我们在一项多中心研究中分析了126次AFB治疗过程,评估了不同参数(透析时间、血流量、超滤、输注的HCO3、透析前和透析后的HCO3、血细胞比容和体重)。采用多元线性回归进行的统计分析表明,透析后HCO3显著直接依赖于输注的HCO3量、透析前HCO3水平和最终体重,而与透析时间和血流量呈负相关。统计模型预测的HCO3值与观察值相关性良好(r = 0.788,P < 0.0001),平均绝对差值为2.138 mEq/升。这种建模方法使我们能够通过计算机辅助程序预测为获得所需的个性化酸中毒纠正而需输注的HCO3量。