Evaluating treatment of hepatitis C for hemolytic anemia management

Swati DebRoy, Christopher Kribs-Zaleta, Anuj Mubayi, Gloriell M. Cardona-Meléndez, Liana Medina-Rios, MinJun Kang, Edgar Diaz

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


The combination therapy of antiviral peg-interferon and ribavirin has evolved as one of the better treatments for hepatitis C. In spite of its success in controlling hepatitis C infection, it has also been associated with treatment-related adverse side effects. The most common and life threatening among them is hemolytic anemia, necessitating dose reduction or therapy cessation. The presence of this side effect leads to a trade-off between continuing the treatment and exacerbating the side effects versus decreasing dosage to relieve severe side effects while allowing the disease to progress. The drug epoietin (epoetin) is often administered to stimulate the production of red blood cells (RBC) in the bone marrow, in order to allow treatment without anemia. This paper uses mathematical models to study the effect of combination therapy in light of anemia. In order to achieve this we introduce RBC concentration and amount of drug in the body as state variables in the usual immunological virus infection model. Analysis of this model provides a quantification of the amount of drug a body can tolerate without succumbing to hemolytic anemia. Indirect estimation of parameters allow us to calculate the necessary increment in RBC production to be ≥2.3 times the patient's original RBC production rate to sustain the entire course of treatment without encountering anemia in a sensitive patient.

Original languageEnglish (US)
Pages (from-to)141-155
Number of pages15
JournalMathematical Biosciences
Issue number2
StatePublished - Jun 2010


  • Anemia
  • Epoietin
  • Hepatitis C
  • Interferon
  • Mathematical modeling
  • Ribavirin

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics


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