Ursino M, Colì L, Dalmastri V, Volpe F, La Manna G, Avanzolini G, Stefoni S, Bonomini V
Department of Electronics, Computer Science and Systems, University of Bologna, Italy.
Int J Artif Organs. 1997 Dec;20(12):659-72.
The incidence of intradialytic disequilibrium syndrome and symptomatic hypotension has increased significantly among dialysis patients over the last ten years. Profiled hemodialysis (PHD) is a new technique, based on the intradialytic modulation of dialysate sodium concentration, which aspires to reduce to previous imbalances. This paper presents a new algorithm for the determination of a rational dialysate sodium profile during PHD. A mathematical model of solute kinetics, monocompartmental for sodium and bicompartmental for urea is used. The algorithm allows the sodium profile to be elaborated a priori before each dialysis session, respecting the individual sodium mass removal and weight gain. A procedure allowing the adjustment of the method to the individual characteristics, on the basis of routine measurements performed before each session is also presented. The method was validated during seven dialysis sessions. Comparison between data measured in vivo and those predicted by the model showed standard deviations corresponding to the range of laboratory measurement errors: 1.50 mEq/L for sodium and 0.87 mmol/L for urea. In vivo implementation of PHD by our algorithm allows one to remove an amount of sodium close to that established a priori on the basis of patient's need.
在过去十年中,透析患者的透析中失衡综合征和症状性低血压的发生率显著增加。个体化血液透析(PHD)是一种基于透析液钠浓度的透析中调节的新技术,旨在减少先前的失衡情况。本文提出了一种在PHD期间确定合理透析液钠曲线的新算法。使用了一个溶质动力学的数学模型,钠为单室模型,尿素为双室模型。该算法允许在每次透析 session 之前预先制定钠曲线,同时考虑个体的钠质量清除和体重增加情况。还提出了一种基于每次 session 前进行的常规测量来根据个体特征调整该方法的程序。该方法在七次透析 session 中得到了验证。体内测量数据与模型预测数据之间的比较显示,标准差与实验室测量误差范围相对应:钠为1.50 mEq/L,尿素为0.87 mmol/L。通过我们的算法在体内实施PHD可以使钠的清除量接近根据患者需求预先确定的量。