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Personalized Ultrafiltration Profiles to Minimize Intradialytic Hypotension in End-Stage Renal Disease

机译:个性化的超滤模式,以最大限度地减少终末期肾脏疾病中的透析内低血压

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Over half a million people in the US suffer from end-stage renal disease (ESRD), and rely on hemodialysis (HD) treatment for survival. The main challenge in HD is the inherent conflict between the need to remove a fixed amount of fluid using ultrafiltration (UF) within a (usually) short amount of time and the fact that high ultrafiltration rates (UFRs) can lead to intradialytic hypotension (IDH). The latter has been associated with an increase in morbidity and mortality. We present a novel approach to design robust UFR profiles to remove a target fluid volume from a HD patient within a prescribed time with minimum UFR levels, while hematocrit satisfies a specific critical hematocrit (HCT) constraint. Our approach is based on fluid dynamics during HD described by a nonlinear fluid volume model comprising intravascular and interstitial pools, whose parameters are given in terms of nominal values with uncertainty ranges. We show that under the designed UFR profile, the HCT of the nonlinear model will meet the critical constraint and the states will remain within a pre-defined region. We demonstrate our results through a simulation using a nonlinear model whose parameters were estimated based on clinical data.
机译:在美国,超过半百万的人患有晚期肾病(ESRD),并依靠血液透析(HD)治疗来生存。 HD的主要挑战是固有的矛盾,即在(通常)短时间内使用超滤(UF)去除固定量液体的需求与高超滤率(UFR)会导致透析内低血压(IDH)的事实之间存在内在冲突。 )。后者与发病率和死亡率增加有关。我们提出了一种新颖的方法来设计强大的UFR配置文件,以在规定的时间内以最小的UFR水平从HD患者中去除目标体液量,同时血细胞比容满足特定的临界血细胞比容(HCT)约束。我们的方法基于HD期间的流体动力学,其由包含血管内和间质池的非线性流体体积模型描述,其模型参数以具有不确定范围的标称值给出。我们表明,在设计的UFR轮廓下,非线性模型的HCT将满足临界约束,并且状态将保持在预定义的区域内。我们通过使用非线性模型进行仿真来证明我们的结果,该模型的参数是根据临床数据估算的。

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