Literature DB >> 11292886

Impact of antibiotic resistance on clinical outcomes and the cost of care.

M S Niederman1.   

Abstract

Antibiotic-resistant organisms are common in intensive care unit infection and can be either Gram-positive or Gram-negative. A number of studies have evaluated whether these organisms can lead to excess morbidity, mortality, or cost. In general, the studies are confounded by a number of methodologic issues, including the selection of an appropriate control population. Cases and controls must be appropriately matched for the presence of infection, the presence of infection with similar organisms (but ones that are either antibiotic-sensitive or -resistant), and severity of illness. In addition, studies must account for the therapies given to patients who are infected with resistant organisms because resistance is an important risk factor for inadequate empirical therapy, and such therapy is itself a potent determinant of a number of adverse outcomes, including mortality. To date, the data with methicillin-resistant Staphylococcus aureus and vancomycin-resistant enterococcus are inconsistent with regard to the effect on mortality rates, although infection with both organisms can lead to excess length of stay and increased cost of care. When studies have been adequately controlled and powered, infection with vancomycin-resistant enterococcus has had more of an effect on the mortality rate than infection with antibiotic-sensitive enterococci. Infection with resistant Gram-negatives also has adverse impact on outcome, with excess mortality being seen in patient groups infected with Acinetobacter and Pseudomonas aeruginosa. If we are to minimize the effect of resistance on medical outcomes and cost, it will be necessary to have a current knowledge of each intensive care unit's pathogens and susceptibility patterns, so that empirical therapy will have a good likelihood of being effective. In addition, new therapeutic agents may improve on the efficacy of older agents and could reduce cost if they allow for some patients to leave the hospital and to finish therapy with an oral formulation of a highly bioavailable agent.

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Year:  2001        PMID: 11292886     DOI: 10.1097/00003246-200104001-00011

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  29 in total

Review 1.  Interactions among strategies associated with bacterial infection: pathogenicity, epidemicity, and antibiotic resistance.

Authors:  José L Martínez; Fernando Baquero
Journal:  Clin Microbiol Rev       Date:  2002-10       Impact factor: 26.132

2.  Ecological theory suggests that antimicrobial cycling will not reduce antimicrobial resistance in hospitals.

Authors:  Carl T Bergstrom; Monique Lo; Marc Lipsitch
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-12       Impact factor: 11.205

3.  Outcome in bacteremia associated with nosocomial pneumonia and the impact of pathogen prediction by tracheal surveillance cultures.

Authors:  Pieter Depuydt; Dominique Benoit; Dirk Vogelaers; Geert Claeys; Gerda Verschraegen; Koenraad Vandewoude; Johan Decruyenaere; Stijn Blot
Journal:  Intensive Care Med       Date:  2006-09-16       Impact factor: 17.440

4.  Methicillin-resistant Staphylococcus aureus in a Canadian intensive care unit: Delays in initiating effective therapy due to the low prevalence of infection.

Authors:  Wendy Sligl; Geoffrey Taylor; Rt Noel Gibney; Robert Rennie; Linda Chui
Journal:  Can J Infect Dis Med Microbiol       Date:  2007-03       Impact factor: 2.471

5.  White paper: recommendations on the conduct of superiority and organism-specific clinical trials of antibacterial agents for the treatment of infections caused by drug-resistant bacterial pathogens.

Authors: 
Journal:  Clin Infect Dis       Date:  2012-08-13       Impact factor: 9.079

6.  Colorimetric-plate method for rapid disk diffusion susceptibility testing of Escherichia coli.

Authors:  Sehnaz Sener; Ibrahim Cagatay Acuner; Yuksel Bek; Belma Durupinar
Journal:  J Clin Microbiol       Date:  2011-01-19       Impact factor: 5.948

7.  Influence of provider and urgent care density across different socioeconomic strata on outpatient antibiotic prescribing in the USA.

Authors:  Eili Y Klein; Michael Makowsky; Megan Orlando; Erez Hatna; Nikolay P Braykov; Ramanan Laxminarayan
Journal:  J Antimicrob Chemother       Date:  2015-01-20       Impact factor: 5.790

8.  Clinico-microbiological study of Pseudomonas aeruginosa in wound infections and the detection of metallo-β-lactamase production.

Authors:  Divya Bangera; Suchitra M Shenoy; Dominic Rm Saldanha
Journal:  Int Wound J       Date:  2015-10-30       Impact factor: 3.315

9.  Optimization of 4-Substituted Benzenesulfonamide Scaffold To Reverse Acinetobacter baumannii Serum-Adaptive Efflux Associated Antibiotic Tolerance.

Authors:  Michaelle Chojnacki; Xufeng Cao; Mikaeel Young; Rebecca N Fritz; Paul M Dunman; Daniel P Flaherty
Journal:  ChemMedChem       Date:  2020-08-13       Impact factor: 3.466

10.  Multidrug-resistant Acinetobacter infection mortality rate and length of hospitalization.

Authors:  Rebecca H Sunenshine; Marc-Oliver Wright; Lisa L Maragakis; Anthony D Harris; Xiaoyan Song; Joan Hebden; Sara E Cosgrove; Ashley Anderson; Jennifer Carnell; Daniel B Jernigan; David G Kleinbaum; Trish M Perl; Harold C Standiford; Arjun Srinivasan
Journal:  Emerg Infect Dis       Date:  2007-01       Impact factor: 6.883

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