Mathematical Modeling of RBC Count Dynamics after Blood Loss
Mathematical Modeling of RBC Count Dynamics after Blood Loss
复制标题
失血后红细胞计数动态的数学模型
作者：
Manuel Tetschke;Patrick Lilienthal;T. Pottgiesser;T. Fischer;E. Schalk;S. Sager
失血后红细胞（RBC）的再生是一个复杂的过程。我们提出了一种新的简单的房室模型，它能够捕获最重要的功能，并可以使用参数估计个性化。我们将所提出的个性化模型的预测与更复杂的红细胞生成模型以及健康受试者的临床数据进行比较。我们讨论了模型参数的选择方面的可识别性。我们给出了一个展望如何扩展这种新的数学模型可能有一个重要的影响，在真性红细胞增多症（PV）的情况下，个性化的临床决策支持。PV是一种生长缓慢的血癌，特别是红细胞的产生增加。针对PV症状的主要治疗是放血（放血术），根据医生的个人经验定期进行。基于模型的决策支持可能有助于确定最佳和个性化的放血时间表。
The regeneration of red blood cells (RBCs) after blood loss is an individual complex process. We present a novel simple compartment model which is able to capture the most important features and can be personalized using parameter estimation. We compare predictions of the proposed and personalized model to a more sophisticated state-of-the-art model for erythropoiesis, and to clinical data from healthy subjects. We discuss the choice of model parameters with respect to identifiability. We give an outlook on how extensions of this novel mathematical model could have an important impact for personalized clinical decision support in the case of polycythemia vera (PV). PV is a slow-growing type of blood cancer, where especially the production of RBCs is increased. The principal treatment targeting the symptoms of PV is bloodletting (phlebotomy), at regular intervals that are based on personal experiences of the physicians. Model-based decision support might help to identify optimal and individualized phlebotomy schedules.
影响因子：
4
作者：
Marciniak-Czochra, Anna;Stiehl, Thomas;Wagner, Wolfgang
通讯作者：
Wagner, Wolfgang