2004
DOI: 10.1073/pnas.0402298101
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Ecological theory suggests that antimicrobial cycling will not reduce antimicrobial resistance in hospitals

Abstract: Hospital-acquired infections caused by antibiotic-resistant bacteria pose a grave and growing threat to public health. Antimicrobial cycling, in which two or more antibiotic classes are alternated on a time scale of months to years, seems to be a leading candidate in the search for treatment strategies that can slow the evolution and spread of antibiotic resistance in hospitals. We develop a mathematical model of antimicrobial cycling in a hospital setting and use this model to explore the efficacy of cycling … Show more

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Cited by 332 publications
(344 citation statements)
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“…Furthermore, the frequency with which to rotate antibiotics remains unclear, as monthly and quarterly regimens have been assessed with documented successes (75,165). Furthermore, the probability of antibiotic cycling leading to a reduction in antimicrobial resistance is low as determined through mathematical modeling (14). At this juncture, it is premature to recommend rotating antibiotics or a rotational schema.…”
Section: Preventing Multidrug Resistancementioning
confidence: 99%
“…Furthermore, the frequency with which to rotate antibiotics remains unclear, as monthly and quarterly regimens have been assessed with documented successes (75,165). Furthermore, the probability of antibiotic cycling leading to a reduction in antimicrobial resistance is low as determined through mathematical modeling (14). At this juncture, it is premature to recommend rotating antibiotics or a rotational schema.…”
Section: Preventing Multidrug Resistancementioning
confidence: 99%
“…In response to the rise of antibiotic resistance, the continued development of new drugs and the judicious use of our current arsenal of antibiotics is required (Bergstrom et al, 2004). In this context, the development and use of QSinhibition-based drugs to attenuate bacterial pathogenicity is attractive (Boyen et al, 2009;Jones et al, 2009).…”
Section: Introductionmentioning
confidence: 99%
“…Hitherto, investigation and policy development for the control of AMR using surveillance data have focused largely on patterns of resistance to individual antimicrobials [4,5]. Quantitative studies have concentrated on theoretical frameworks using simulated and in vitro experimental data [6][7][8], while much of our current understanding of the impacts of individual antimicrobials has been derived from small scale clinical epidemiological studies [9,10].…”
Section: Introductionmentioning
confidence: 99%