Literature DB >> 11750169

Multi-hospital analysis of antimicrobial usage and resistance trends.

C A Lesch1, G S Itokazu, L H Danziger, R A Weinstein.   

Abstract

We report a pilot study comparing antimicrobial usage and antimicrobial resistance trends for prominent nosocomial pathogens between 1994-1996. A convenience sample of ten hospitals participated in this retrospective review. We found a large variation in antimicrobial use and resistance trends and that many hospitals did not have data readily available to evaluate drug usage and resistance rates. A significant strong positive correlation was observed between the usage of ceftazidime and the prevalence of ceftazidime resistant Pseudomonas aeruginosa (r = 0.8, p = 0.005) and of ceftazidime resistant Enterobacter species (r = 0.8, p = 0.02). The presence of antibiotic control policies correlated with lower rates of some resistant strains and less antibiotic use. Our findings can be a useful starting point for hospitals that want to systematically measure antimicrobial use and resistance. Hospital laboratories, pharmacies, and infection control departments must work together to develop databases that will facilitate such measurements.

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Year:  2001        PMID: 11750169     DOI: 10.1016/s0732-8893(01)00296-6

Source DB:  PubMed          Journal:  Diagn Microbiol Infect Dis        ISSN: 0732-8893            Impact factor:   2.803


  9 in total

1.  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

2.  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

3.  Comparison of censored regression and standard regression analyses for modeling relationships between antimicrobial susceptibility and patient- and institution-specific variables.

Authors:  Jeffrey P Hammel; Sujata M Bhavnani; Ronald N Jones; Alan Forrest; Paul G Ambrose
Journal:  Antimicrob Agents Chemother       Date:  2006-01       Impact factor: 5.191

4.  Challenges in measuring antibiotic consumption.

Authors:  Leigh Anne Hylton Gravatt; Amy L Pakyz
Journal:  Curr Infect Dis Rep       Date:  2013-12       Impact factor: 3.725

5.  Trends of isolation of intrinsically resistant to colistin Enterobacteriaceae and association with colistin use in a tertiary hospital.

Authors:  G Samonis; I P Korbila; S Maraki; I Michailidou; K Z Vardakas; D Kofteridis; D Dimopoulou; V K Gkogkozotou; M E Falagas
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2014-04-15       Impact factor: 3.267

6.  An analysis of why highly similar enzymes evolve differently.

Authors:  Fahd K Majiduddin; Timothy Palzkill
Journal:  Genetics       Date:  2003-02       Impact factor: 4.562

Review 7.  Principles and strategies of antimicrobial stewardship in the neonatal intensive care unit.

Authors:  Sameer J Patel; Lisa Saiman
Journal:  Semin Perinatol       Date:  2012-12       Impact factor: 3.300

8.  Relationship Between Antimicrobial Prescribing and Antimicrobial Resistance Among UTI Patients at Buraidah Central Hospital, Saudi Arabia.

Authors:  Sulaiman I A Alsohaim; Abdulkader A Bawadikji; Ramadan Elkalmi; Mohammed Imad Al-Deen M Mahmud; Mohamed Azmi Hassali
Journal:  J Pharm Bioallied Sci       Date:  2019 Apr-Jun

9.  Relationships between antimicrobial use and antimicrobial resistance in Gram-negative bacteria causing nosocomial infections from 1991-2003 at a university hospital in Taiwan.

Authors:  Po-Ren Hsueh; Wen-Hwei Chen; Kwen-Tay Luh
Journal:  Int J Antimicrob Agents       Date:  2005-11-08       Impact factor: 5.283

  9 in total

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