Literature DB >> 9669619

Antimicrobial use and resistance in eight US hospitals: complexities of analysis and modeling. Intensive Care Antimicrobial Resistance Epidemiology Project and National Nosocomial Infections Surveillance System Hospitals.

D L Monnet1, L K Archibald, L Phillips, F C Tenover, J E McGowan, R P Gaynes.   

Abstract

OBJECTIVE: To evaluate the relation between antimicrobial use and resistance in intensive-care unit (ICU) and non-ICU inpatient areas in eight US hospitals.
METHODS: We determined antimicrobial use in terms of defined daily doses, antimicrobial-use density (defined daily doses/1,000 patient days), and percentage resistance for five antimicrobial-organism combinations in the ICU and non-ICU inpatient areas of eight US hospitals participating in project Intensive Care Antimicrobial Resistance Epidemiology.
RESULTS: Antimicrobial resistance and use varied tremendously among the eight hospitals. Antimicrobial resistance among these five nosocomial pathogens was significantly higher within the inpatient setting of these hospitals, compared with the outpatient setting. One hospital consistently ranked highest for use of all classes of antimicrobials examined. High antimicrobial use was not associated necessarily with high resistance for a particular antimicrobial-organism pair.
CONCLUSION: Antimicrobial use varied significantly across these hospitals, but generally was higher in ICUs. These results suggest that concomitant surveillance of both antimicrobial resistance and antimicrobial use is helpful in interpreting antimicrobial resistance in a hospital or ICU and that further analysis is required to determine the role of variables other than antimicrobial use in a statistical model for predicting antimicrobial resistance.

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Year:  1998        PMID: 9669619     DOI: 10.1086/647837

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  22 in total

1.  The epidemiology of antibiotic resistance in hospitals: paradoxes and prescriptions.

Authors:  M Lipsitch; C T Bergstrom; B R Levin
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-15       Impact factor: 11.205

2.  Deriving measures of intensive care unit antimicrobial use from computerized pharmacy data: methods, validation, and overcoming barriers.

Authors:  David N Schwartz; R Scott Evans; Bernard C Camins; Yosef M Khan; James F Lloyd; Nadine Shehab; Kurt Stevenson
Journal:  Infect Control Hosp Epidemiol       Date:  2011-05       Impact factor: 3.254

3.  An evaluation of quinolone prescribing in a group of acute hospitals: development of an objective measure of usage.

Authors:  C Curtis; R Fitzpatrick; J F Marriott
Journal:  Pharm World Sci       Date:  2002-04

4.  Relationship between glycopeptide use and decreased susceptibility to teicoplanin in isolates of coagulase-negative staphylococci.

Authors:  M Bertin; A Muller; X Bertrand; C Cornette; M Thouverez; D Talon
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2004-04-27       Impact factor: 3.267

Review 5.  Antimicrobial stewardship programs in health care systems.

Authors:  Conan MacDougall; Ron E Polk
Journal:  Clin Microbiol Rev       Date:  2005-10       Impact factor: 26.132

Review 6.  Antimicrobial resistance in hospitals: how concerned should we be?

Authors:  Michael R Mulvey; Andrew E Simor
Journal:  CMAJ       Date:  2009-02-17       Impact factor: 8.262

7.  Comparison of agar dilution, disk diffusion, MicroScan, and Vitek antimicrobial susceptibility testing methods to broth microdilution for detection of fluoroquinolone-resistant isolates of the family Enterobacteriaceae.

Authors:  C D Steward; S A Stocker; J M Swenson; C M O'Hara; J R Edwards; R P Gaynes; J E McGowan; F C Tenover
Journal:  J Clin Microbiol       Date:  1999-03       Impact factor: 5.948

8.  Microbiological surveillance and parenteral antibiotic use in a critical care unit.

Authors:  S K Yamashita; M Louie; A E Simor; A Rachlis
Journal:  Can J Infect Dis       Date:  2000-03

9.  [Quality assurance in intensive care medicine. SARI-surveillance on antibiotic use and bacterial resistance in intensive care units].

Authors:  E Meyer; B Schroeren-Boersch; F Schwab; D Jonas; H Rüden; P Gastmeier; F D Daschner
Journal:  Anaesthesist       Date:  2004-05       Impact factor: 1.041

10.  Generalized additive model demonstrates fluoroquinolone use/resistance relationships for Staphylococcus aureus.

Authors:  Pierre Berger; Laurence Pascal; Catherine Sartor; Jean Delorme; Philippe Monge; Christine Penot Ragon; Martine Charbit; Roland Sambuc; Michel Drancourt
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

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