ArticleProceedings of the National Academy of Sciences of the United States of America2006
Upgrading antibiotic use within a class: tradeoff between resistance and treatment success.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Population-level mathematical modeling of antimicrobial resistance: a systematic review.BMC medicine · 2019Pooled it
- Bayesian network models to assess antimicrobial resistance patterns of Streptococcus suis isolated from swine production systems in the United States between 2014-2021.PLoS computational biology · 2026Article
- Resistance-minimising strategies for introducing a novel antibiotic for gonorrhoea treatment: a mathematical modelling study.The Lancet. Microbe · 2023Article
- Resistance-minimizing strategies for introducing a novel antibiotic for gonorrhea treatment: a mathematical modeling study.medRxiv : the preprint server for health sciences · 2023Article
- Discerning in vitro pharmacodynamics from OD measurements: A model-based approach.Computers & chemical engineering · 2022Article
- Mathematical Modeling of Remdesivir to Treat COVID-19: Can Dosing Be Optimized?Pharmaceutics · 2021Article
- Resistance diagnostics as a public health tool to combat antibiotic resistance: A model-based evaluation.PLoS biology · 2019Article
- Application of dynamic modelling techniques to the problem of antibacterial use and resistance: a scoping review.Epidemiology and infection · 2018Article
- Modeling antibiotic treatment in hospitals: A systematic approach shows benefits of combination therapy over cycling, mixing, and mono-drug therapies.PLoS computational biology · 2017Article
- Host population structure and treatment frequency maintain balancing selection on drug resistance.Journal of the Royal Society, Interface · 2017Article
- Acceleration and suppression of resistance development by antibiotic combinations.BMC genomics · 2017Article
- Molecular Analysis of Rising Fluoroquinolone Resistance in Belgian Non-Invasive Streptococcus pneumoniae Isolates (1995-2014).PloS one · 2016Article
- Prediction of antibiotic resistance by gene expression profiles.Nature communications · 2014Article
- Timing of antimicrobial use influences the evolution of antimicrobial resistance during disease epidemics.Evolution, medicine, and public health · 2014Article
- Cloning, purification, crystallization and preliminary X-ray studies of the putative transcriptional regulator SPD0280 from Streptococcus pneumoniae D39.Acta crystallographica. Section F, Structural biology and crystallization communications · 2013Article
- A modeling framework for the evolution and spread of antibiotic resistance: literature review and model categorization.American journal of epidemiology · 2013Review
- Susceptibility of Streptococcus pneumoniae to fluoroquinolones in Canada.Antimicrobial agents and chemotherapy · 2011Article
- Drug interactions modulate the potential for evolution of resistance.Proceedings of the National Academy of Sciences of the United States of America · 2008Article
- Antibiotic innovation may contribute to slowing the dissemination of multiresistant Streptococcus pneumoniae: the example of ketolides.PloS one · 2008Article
- The rising impact of mathematical modelling in epidemiology: antibiotic resistance research as a case study.Epidemiology and infection · 2008Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increasing resistance to antibiotics creates the need for prudent antibiotic use. When resistance to various antibiotics within a class is driven by stepwise accumulation of mutations, a dilemma may exist in regard to replacing an antibiotic that is losing effectiveness due to resistance with a new drug within the same class. Such replacement may enhance treatment success in the short term but promote the spread of highly resistant strains. We used mathematical models to quantify the tradeoff between minimizing treatment failures (by switching early) and minimizing the proliferation of the highly resistant strain (by delaying the switch). Numerical simulations were applied to investigate the cumulative prevalence of the highly resistant strain (Resistance) and the cumulative number of treatment failures (Failure) that resulted from following different antibiotic use policies. Whereas never switching to the new drug always minimizes Resistance and maximizes Failure, immediate switching usually maximizes Resistance and minimizes Failure. Thus, in most circumstances, there is a strict tradeoff in which early use of the new drug enhances treatment effectiveness while hastening the rise of high-level resistance. This tradeoff is most acute when acquired resistance is rare and the highly resistant strain is readily transmissible. However, exceptions occur when use of the new drug frequently leads to acquired resistance and when the highly resistant strain has substantial "fitness cost"; these circumstances tend to favor an immediate switch. We discuss the implications of these considerations in regard to antibiotic choices for Streptococcus pneumoniae.
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Registered trials
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