Optimized and Personalized Phlebotomy Schedules for Patients Suffering From Polycythemia Vera.

ABSTRACT: Polycythemia vera (PV) is a slow-growing type of blood cancer, where the production of red blood cells (RBCs) increase considerably. The principal treatment for targeting the symptoms of PV is bloodletting (phlebotomy) at regular intervals based on data derived from blood counts and physician assessments based on experience. Model-based decision support can help to identify optimal and individualized phlebotomy schedules to improve the treatment success and reduce the number of phlebotomies and thus negative side effects of the therapy. We present an extension of a simple compartment model of the production of RBCs in adults to capture patients suffering from PV. We analyze the model's properties to show the plausibility of its assumptions. We complement this with numerical results using e

SUBMITTER: Lilienthal P 

PROVIDER: S-EPMC7180210 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature