Department of Electrical Engineering, The University of Texas Permian Basin, Midland, TX, USA.
Libyan Authority for Scientific Research, Tripoli, Libya.
Ren Fail. 2024 Dec;46(2):2377781. doi: 10.1080/0886022X.2024.2377781. Epub 2024 Aug 15.
Management of body fluid volumes and adequate prescription of ultrafiltration (UF) remain key issues in the treatment of chronic kidney disease patients. This study aims to estimate the magnitude as well as the precision of absolute blood volume () modeled during regular hemodialysis (HD) using standard data available with modern dialysis machines. The estimation utilizes a two-compartment fluid model and a mathematical optimization technique to predict UF-induced changes in hematocrit measured by available on-line techniques. The method does not rely on a specific hematocrit sensor or a specific UF or volume infusion protocol and uses modeling and prediction tools to quantify the error in estimation. The method was applied to 21 treatments (pre-UF body mass: 65.5713.44 kg, UF-volume: 3.991.14 L) obtained in ten patients (4 female). Pre-HD was 5.40.53 L with an average coefficient of variation of 9.8% (range 1 to 22%). A significant moderate correlation was obtained when was compared to a different method applied to the same data set ( = 0.5). Specific blood volumes remained above the critical level of 65 mL/kg in 17 treatments (80.9%). The method offers the opportunity to detect critical blood volumes during HD and to judge the quality and reliability of that information based on the precision of the estimate.
体液量管理和超滤(UF)的充分处方仍然是慢性肾脏病患者治疗的关键问题。本研究旨在使用现代透析机提供的标准数据来估计常规血液透析(HD)期间模型化的绝对血容量()的幅度和精度。该估计利用两室流体模型和数学优化技术来预测可用在线技术测量的血细胞比容(Hct)因 UF 引起的变化。该方法不依赖于特定的血细胞比容传感器或特定的 UF 或体积输注方案,而是使用建模和预测工具来量化在估计中的误差。该方法应用于 10 名患者(4 名女性)的 21 次治疗(预 UF 体重:65.5713.44kg,UF 体积:3.991.14L)。HD 前为 5.40.53L,平均变异系数为 9.8%(范围为 1 至 22%)。当将与应用于同一数据集的另一种方法进行比较时,获得了显著的中度相关性(=0.5)。在 17 次治疗中(80.9%),特定血容量仍然高于 65mL/kg 的临界水平。该方法提供了在 HD 期间检测临界血容量的机会,并可以根据的估计精度来判断该信息的质量和可靠性。