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Antimicrobial Agents and Chemotherapy, 02 1997, 363-373, Vol 41, No. 2
M Lipsitch and BR Levin
We present and analyze a series of mathematical models for the emergence of
resistance during antibiotic treatment of an infected host. The models
consider the population dynamics of antibiotic- sensitive and -resistant
bacteria during the course of treatment and addresses the following
problems: (i) the probability of obtaining a resistant mutant during the
course of treatment as a function of antibiotic exposure; (ii) the
conditions under which high, infrequent doses of an antibiotic are
predicted to succeed in preventing the emergence of resistance; (iii) the
conditions for the success of multiple drug treatment in suppressing the
emergence of resistance and the relationship between antibiotic synergism
and suppression of resistance; and (iv) the conditions under which
nonadherence to the prescribed treatment regimen is predicted to result in
treatment failure due to resistance. We analyze the predictions of the
model for interpreting and extrapolating existing experimental studies of
treatment efficacy and for optimizing treatment protocols to prevent the
emergence of resistance.
Copyright © 1997 by the American Society for Microbiology. All rights reserved.
The population dynamics of antimicrobial chemotherapy
Department of Biology, Emory University, Atlanta, Georgia 30322, USA.
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