Literature DB >> 18819975

Clinical implications of antimicrobial resistance for therapy.

Alasdair P Macgowan1.   

Abstract

The last decade has seen a significant improvement in published evidence to show the clinical predictive value of phenotypic susceptibility testing with categorization of pathogens as 'susceptible' or 'resistant' based on clinical breakpoints. Most of the published data are based on retrospective or prospective observational clinical studies of patients treated with appropriate [pathogen(s)-susceptible] or inappropriate [pathogen(s)-resistant] chemotherapy. Appropriate therapy has been shown to improve outcomes in infections occurring in hospitals, such as bloodstream infection (BSI) and pneumonia in the intensive care unit. Infections due to specific pathogens such as extended-spectrum beta-lactamase-producing Enterobacteriaceae, Pseudomonas aeruginosa and Staphylococcus aureus also respond better to appropriate than inappropriate antibiotics. The situation with vancomycin-resistant enterococci is less clear, perhaps due to the increased importance of patient confounders. Streptococcus pneumoniae when causing acute pneumonia with or without BSI is a well-known exception to the predictive value of laboratory-defined resistance. Antibiotic resistance also impacts on outcomes in the community where the evidence is best for urinary tract infection. The clinical studies are compatible with the current pharmacokinetic/pharmacodynamic paradigm used to explain and predict antibacterial effects and therefore have a sound basis in antimicrobial science. These data underline the importance of well-constructed epidemiological studies to determine the prevalence of antimicrobial resistance in clinical practice and the central place of laboratory-based susceptibility testing in dictating antimicrobial therapy and so optimizing patient outcomes.

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Year:  2008        PMID: 18819975     DOI: 10.1093/jac/dkn357

Source DB:  PubMed          Journal:  J Antimicrob Chemother        ISSN: 0305-7453            Impact factor:   5.790


  17 in total

1.  Monomer complexes of polyadenylic acid.

Authors:  R Jeremy; H Davies
Journal:  Biochem Soc Trans       Date:  1975       Impact factor: 5.407

2.  Variability in antibiotic use at children's hospitals.

Authors:  Jeffrey S Gerber; Jason G Newland; Susan E Coffin; Matt Hall; Cary Thurm; Priya A Prasad; Chris Feudtner; Theoklis E Zaoutis
Journal:  Pediatrics       Date:  2010-11-15       Impact factor: 7.124

3.  Standard versus biofilm antimicrobial susceptibility testing to guide antibiotic therapy in cystic fibrosis.

Authors:  Sherie Smith; Valerie Waters; Nikki Jahnke; Felix Ratjen
Journal:  Cochrane Database Syst Rev       Date:  2020-06-10

4.  Comparative evaluation of Vitek 2 identification and susceptibility testing of urinary tract pathogens directly and isolated from chromogenic media.

Authors:  M J Munoz-Dávila; M Roig; G Yagüe; A Blázquez; C Salvador; M Segovia
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2013-01-12       Impact factor: 3.267

5.  Integrating forecast probabilities in antibiograms: a way to guide antimicrobial prescriptions more reliably?

Authors:  Florian P Maurer; Patrice Courvalin; Erik C Böttger; Michael Hombach
Journal:  J Clin Microbiol       Date:  2014-08-06       Impact factor: 5.948

6.  Imipenem-Relebactam Susceptibility Testing of Gram-Negative Bacilli by Agar Dilution, Disk Diffusion, and Gradient Strip Methods Compared with Broth Microdilution.

Authors:  Hanna Hakvoort; Evelyn Bovenkamp; Kerryl E Greenwood-Quaintance; Suzannah M Schmidt-Malan; Jay N Mandrekar; Audrey N Schuetz; Robin Patel
Journal:  J Clin Microbiol       Date:  2020-09-22       Impact factor: 5.948

7.  β-Lactamase-Producing Bacteria in Upper Respiratory Tract Infections.

Authors:  Itzhak Brook
Journal:  Curr Infect Dis Rep       Date:  2010-03       Impact factor: 3.725

8.  Rapid Detection of Methicillin-Resistant Staphylococcus aureus and Methicillin-Susceptible S. aureus Directly from Positive Blood Cultures by Use of the BD Max StaphSR Assay.

Authors:  Justin A Ellem; Tom Olma; Matthew V N O'Sullivan
Journal:  J Clin Microbiol       Date:  2015-12       Impact factor: 5.948

Review 9.  Standard versus biofilm antimicrobial susceptibility testing to guide antibiotic therapy in cystic fibrosis.

Authors:  Valerie Waters; Felix Ratjen
Journal:  Cochrane Database Syst Rev       Date:  2017-10-05

Review 10.  Antimicrobial drug use in food-producing animals and associated human health risks: what, and how strong, is the evidence?

Authors:  Karin Hoelzer; Nora Wong; Joe Thomas; Kathy Talkington; Elizabeth Jungman; Allan Coukell
Journal:  BMC Vet Res       Date:  2017-07-04       Impact factor: 2.741

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