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Mathematical models for cytarabine-derived myelosuppression in acute myeloid leukaemia.
- Source :
- PLoS ONE; 7/1/2019, Vol. 14 Issue 7, p1-26, 26p
- Publication Year :
- 2019
-
Abstract
- We investigate the personalisation and prediction accuracy of mathematical models for white blood cell (WBC) count dynamics during consolidation treatment using intermediate or high-dose cytarabine (Ara-C) in acute myeloid leukaemia (AML). Ara-C is the clinically most relevant cytotoxic agent for AML treatment. We extend a mathematical model of myelosuppression and a pharmacokinetic model of Ara-C with different hypotheses of Ara-C’s pharmacodynamic effects. We cross-validate the 12 model variations using dense WBC count measurements from 23 AML patients. Surprisingly, the prediction accuracy remains satisfactory in each of the models despite different modelling hypotheses. Therefore, we compare average clinical and calculated WBC recovery times for different Ara-C schedules as a successful methodology for model discrimination. As a result, a new hypothesis of a secondary pharmacodynamic effect on the proliferation rate seems plausible. Furthermore, we demonstrate the impact of treatment timing on subsequent nadir values based on personalised predictions as a possibility for influencing/controlling myelosuppression. [ABSTRACT FROM AUTHOR]
- Subjects :
- MATHEMATICAL models
LEUCOCYTES
MYELOSUPPRESSION
BONE marrow cells
THERAPEUTICS
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 14
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- PLoS ONE
- Publication Type :
- Academic Journal
- Accession number :
- 137260535
- Full Text :
- https://doi.org/10.1371/journal.pone.0204540