• DocumentCode
    54766
  • Title

    Control-Relevant Erythropoiesis Modeling in End-Stage Renal Disease

  • Author

    Chait, Yossi ; Horowitz, Joseph ; Nichols, Brendan ; Shrestha, Rajiv P. ; Hollot, C.V. ; Germain, Michael J.

  • Author_Institution
    Dept. of Mech. & Ind. Eng., Univ. of Massachusetts Amherst, Amherst, MA, USA
  • Volume
    61
  • Issue
    3
  • fYear
    2014
  • fDate
    Mar-14
  • Firstpage
    658
  • Lastpage
    664
  • Abstract
    Anemia is prevalent in end-stage renal disease (ESRD). The discovery of recombinant human erythropoietin (rHuEPO) over 30 years ago has shifted the treatment of anemia for patients on dialysis from blood transfusions to rHuEPO therapy. Many anemia management protocols (AMPs) used by clinicians comprise a set of experience-based rules for weekly-to-monthly titration of rHuEPO doses based on hemoglobin (Hb) measurements. In order to facilitate the design of an AMP using model-based feedback control theory, we present a physiologically relevant erythropoiesis model and demonstrate its applicability using clinical data.
  • Keywords
    blood; cellular biophysics; diseases; lung; molecular biophysics; patient treatment; proteins; anemia management protocols; anemia patient treatment; blood transfusions; clinical data; control-relevant erythropoiesis modeling; dialysis; end-stage renal disease; hemoglobin measurements; model-based feedback control theory; physiological relevant erythropoiesis model; rHuEPO therapy; recombinant human erythropoietin; Data models; Diseases; Estimation; Mathematical model; Physiology; Production; Training; Anemia of chronic kidney disease (CKD); end-stage renal disease (ESRD); pharmacokinetic/pharmacodynamic modeling; recombinant human erythropoietin (rHuEPO);
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2013.2286100
  • Filename
    6634219