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A multi-type branching model with varying environment for bacterial dynamics with postantibiotic effect
Authors:Geli Patricia  Andersson Mikael  Svensson Ake  Andersson Dan I
Institution:a Department of Mathematics, Stockholm University, SE-106 91 Stockholm, Sweden
b Department of Epidemiology, Swedish Institute for Infectious Disease Control, Stockholm, Sweden
c Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
Abstract:A multi-type branching process with varying environment was used to construct a pharmacokinetic/pharmacodynamic (PK/PD) model that captures the postantibiotic effect (PAE) seen in bacterial populations after exposure of antibiotics. This phenomenon of continued inhibition of bacterial growth even after removal of the antibiotic from the growth medium is of high relevance in the context of optimizing dosing regimens. The clinical implication of long PAEs lies in the interesting possibility of increasing the intervals between drug administrations.The model structure is generalizable to most types of antibiotics and is useful both as a theoretical framework for understanding the time properties of PAE and to explore optimal antibiotic dosing regimens. Data from an in vitro study with Escherichia coli exposed to different dosing regimens of cefotaxime were used to evaluate the model.
Keywords:Antibiotic resistance  Mathematical model  Penicillin binding proteins
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