Suppr超能文献

一种用于预测血液滤过再循环(HFR)过程中溶质动力学、渗透压和液体体积变化的数学模型。

A mathematical model for the prediction of solute kinetics, osmolarity and fluid volume changes during hemodiafiltration with on-line regeneration of ultrafiltrate (HFR).

作者信息

Ursino M, Colí L, Magosso E, Capriotti P, Fiorenzi A, Baroni P, Stefoni S

机构信息

Department of Electronics, Computer Science and Systems, University of Bologna, Bologna, Italy.

出版信息

Int J Artif Organs. 2006 Nov;29(11):1031-41. doi: 10.1177/039139880602901103.

Abstract

Hemodiafiltration with on-line regeneration of ultrafiltrate (HFR) is a technique indicated for the treatment of dialysis patients affected by inflammatory syndrome and malnutrition. In the present work, a mathematical model, which describes intradialytic fluid and solute kinetics during standard diffusive dialysis, has been adapted to analyze solutes and fluid dynamics during HFR. The model is an improved version of our previous ones, and represents a good compromise between simplicity and reliability. It considers the intradialytic kinetics of sodium, potassium and urea, and two body fluid compartments: intracellular and extracellular. Moreover, the model includes simple equations to predict the intradialytic time pattern of osmolarity. The model has been experimentally validated by using 9 HFR sessions on 9 patients (one per each patient), comparing the time course of plasma solutes and osmolarity measured every 30 minutes during HFR, with those predicted by the model. Predictions are performed a priori, i.e., without any parameter adjustment, but just starting from knowledge of a few quantities (plasma sodium, potassium, urea, osmolarity and body weight) at the beginning of the session. The average deviations between model and real data (sodium: 1.9 mEq/L; potassium: 0.32 mEq/L; urea: 1.04 mmol/L; osmolarity: 5.02 mosm/L) are of the same order as measurement errors and similar to those obtained using our previous models in standard and profiled hemodialysis. Moreover, the prediction on sodium concentration only scarcely worsens (from 1.9 to 2.02 mEq/L) if default values are used for the initial value of other solutes in blood (i.e., if the algorithm uses only initial body weight and initial sodium concentration in plasma). The results confirm the good predictive capacity of the model in HFR, and suggest its possible innovative use to optimize sodium balance in HFR, from knowledge of only the sodium concentration in the ultrafiltrate.

摘要

伴有超滤液在线再生的血液透析滤过(HFR)是一种用于治疗受炎症综合征和营养不良影响的透析患者的技术。在本研究中,一个描述标准扩散透析过程中透析内液体和溶质动力学的数学模型已被改编用于分析HFR过程中的溶质和流体动力学。该模型是我们之前模型的改进版本,在简单性和可靠性之间取得了良好的平衡。它考虑了钠、钾和尿素的透析内动力学,以及两个体液隔室:细胞内液和细胞外液。此外,该模型包括简单的方程来预测渗透压的透析内时间模式。通过对9名患者进行9次HFR治疗(每位患者1次)对该模型进行了实验验证,将HFR期间每30分钟测量的血浆溶质和渗透压的时间进程与模型预测的结果进行了比较。预测是先验进行的,即不进行任何参数调整,而是仅从治疗开始时的一些量(血浆钠、钾、尿素、渗透压和体重)的知识出发。模型与实际数据之间的平均偏差(钠:1.9 mEq/L;钾:0.32 mEq/L;尿素:1.04 mmol/L;渗透压:5.02 mosm/L)与测量误差处于同一量级,并且与我们之前在标准和个体化血液透析模型中获得的偏差相似。此外,如果对血液中其他溶质的初始值使用默认值(即如果算法仅使用初始体重和血浆中的初始钠浓度),仅对钠浓度的预测会略有恶化(从1.9到2.02 mEq/L)。结果证实了该模型在HFR中的良好预测能力,并表明仅从超滤液中的钠浓度知识出发,其可能在优化HFR中的钠平衡方面有创新性应用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验