Literature DB >> 16772381

Upgrading antibiotic use within a class: tradeoff between resistance and treatment success.

Y Claire Wang1, Marc Lipsitch.   

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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Year:  2006        PMID: 16772381      PMCID: PMC1480462          DOI: 10.1073/pnas.0600636103

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  52 in total

1.  Quinolone efflux pumps play a central role in emergence of fluoroquinolone resistance in Streptococcus pneumoniae.

Authors:  Nelson L Jumbe; Arnold Louie; Michael H Miller; Weiguo Liu; Mark R Deziel; Vincent H Tam; Reetu Bachhawat; George L Drusano
Journal:  Antimicrob Agents Chemother       Date:  2006-01       Impact factor: 5.191

2.  Post-PCV7 changes in colonizing pneumococcal serotypes in 16 Massachusetts communities, 2001 and 2004.

Authors:  Susan S Huang; Richard Platt; Sheryl L Rifas-Shiman; Stephen I Pelton; Donald Goldmann; Jonathan A Finkelstein
Journal:  Pediatrics       Date:  2005-09       Impact factor: 7.124

Review 3.  A review of Streptococcus pneumoniae infection treatment failures associated with fluoroquinolone resistance.

Authors:  Jeffrey D Fuller; Donald E Low
Journal:  Clin Infect Dis       Date:  2005-05-26       Impact factor: 9.079

4.  Changing epidemiology of invasive pneumococcal disease among older adults in the era of pediatric pneumococcal conjugate vaccine.

Authors:  Catherine A Lexau; Ruth Lynfield; Richard Danila; Tamara Pilishvili; Richard Facklam; Monica M Farley; Lee H Harrison; William Schaffner; Arthur Reingold; Nancy M Bennett; James Hadler; Paul R Cieslak; Cynthia G Whitney
Journal:  JAMA       Date:  2005-10-26       Impact factor: 56.272

Review 5.  Challenges in the management of community-acquired pneumonia: the role of quinolones and moxifloxacin.

Authors:  Michael S Niederman
Journal:  Clin Infect Dis       Date:  2005-07-15       Impact factor: 9.079

6.  Antimicrobial resistance among Streptococcus pneumoniae in the United States: have we begun to turn the corner on resistance to certain antimicrobial classes?

Authors:  Gary V Doern; Sandra S Richter; Ashley Miller; Norma Miller; Cassie Rice; Kristopher Heilmann; Susan Beekmann
Journal:  Clin Infect Dis       Date:  2005-06-07       Impact factor: 9.079

7.  Incremental increase in fitness cost with increased beta -lactam resistance in pneumococci evaluated by competition in an infant rat nasal colonization model.

Authors:  Krzysztof Trzcinski; Claudette M Thompson; Andrea M Gilbey; Christopher G Dowson; Marc Lipsitch
Journal:  J Infect Dis       Date:  2006-03-17       Impact factor: 5.226

8.  Fluoroquinolone prescribing in the United States: 1995 to 2002.

Authors:  Jeffrey A Linder; Elbert S Huang; Michael A Steinman; Ralph Gonzales; Randall S Stafford
Journal:  Am J Med       Date:  2005-03       Impact factor: 4.965

9.  Primary targets of fluoroquinolones in Streptococcus pneumoniae.

Authors:  H Fukuda; K Hiramatsu
Journal:  Antimicrob Agents Chemother       Date:  1999-02       Impact factor: 5.191

10.  Relative fitness of fluoroquinolone-resistant Streptococcus pneumoniae.

Authors:  Crystal N Johnson; David E Briles; William H Benjamin; Susan K Hollingshead; Ken B Waites
Journal:  Emerg Infect Dis       Date:  2005-06       Impact factor: 6.883

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  16 in total

Review 1.  The rising impact of mathematical modelling in epidemiology: antibiotic resistance research as a case study.

Authors:  L Temime; G Hejblum; M Setbon; A J Valleron
Journal:  Epidemiol Infect       Date:  2007-09-04       Impact factor: 2.451

2.  Drug interactions modulate the potential for evolution of resistance.

Authors:  Jean-Baptiste Michel; Pamela J Yeh; Remy Chait; Robert C Moellering; Roy Kishony
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-24       Impact factor: 11.205

3.  Susceptibility of Streptococcus pneumoniae to fluoroquinolones in Canada.

Authors:  Samir N Patel; Allison McGeer; Roberto Melano; Gregory J Tyrrell; Karen Green; Dylan R Pillai; Donald E Low
Journal:  Antimicrob Agents Chemother       Date:  2011-05-31       Impact factor: 5.191

4.  Discerning in vitro pharmacodynamics from OD measurements: A model-based approach.

Authors:  Iordanis Kesisoglou; Vincent H Tam; Andrew P Tomaras; Michael Nikolaou
Journal:  Comput Chem Eng       Date:  2021-12-16       Impact factor: 3.845

5.  Cloning, purification, crystallization and preliminary X-ray studies of the putative transcriptional regulator SPD0280 from Streptococcus pneumoniae D39.

Authors:  Shaocheng Zhang; Xun Min; Zhen Guo; Hongpeng Zhang; Ailong Huang; Yibing Yin; Deqiang Wang
Journal:  Acta Crystallogr Sect F Struct Biol Cryst Commun       Date:  2013-10-19

6.  Application of dynamic modelling techniques to the problem of antibacterial use and resistance: a scoping review.

Authors:  D E Ramsay; J Invik; S L Checkley; S P Gow; N D Osgood; C L Waldner
Journal:  Epidemiol Infect       Date:  2018-07-31       Impact factor: 4.434

7.  Prediction of antibiotic resistance by gene expression profiles.

Authors:  Shingo Suzuki; Takaaki Horinouchi; Chikara Furusawa
Journal:  Nat Commun       Date:  2014-12-17       Impact factor: 14.919

8.  Timing of antimicrobial use influences the evolution of antimicrobial resistance during disease epidemics.

Authors:  Mark M Tanaka; Benjamin M Althouse; Carl T Bergstrom
Journal:  Evol Med Public Health       Date:  2014-11-05

9.  Antibiotic innovation may contribute to slowing the dissemination of multiresistant Streptococcus pneumoniae: the example of ketolides.

Authors:  Lulla Opatowski; Laura Temime; Emmanuelle Varon; Roland Leclercq; Roland Leclerc; Henri Drugeon; Pierre-Yves Boëlle; Didier Guillemot
Journal:  PLoS One       Date:  2008-05-07       Impact factor: 3.240

Review 10.  A modeling framework for the evolution and spread of antibiotic resistance: literature review and model categorization.

Authors:  Ian H Spicknall; Betsy Foxman; Carl F Marrs; Joseph N S Eisenberg
Journal:  Am J Epidemiol       Date:  2013-05-09       Impact factor: 4.897

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