Ann Lab Med.  2018 Mar;38(2):176-178. 10.3343/alm.2018.38.2.176.

Correlation of Aminoglycoside Consumption and Amikacin- or Gentamicin-Resistant Pseudomonas aeruginosa in Long-Term Nationwide Analysis: Is Antibiotic Cycling an Effective Policy for Reducing Antimicrobial Resistance?

Affiliations
  • 1Department of Laboratory Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Korea.
  • 2Department of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Korea.
  • 3Department of Statistics, Korea University, Seoul, Korea.
  • 4Department of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, Korea. hmlee.labmed@gmail.com

Abstract

No abstract available.


MeSH Terms

Pseudomonas aeruginosa*
Pseudomonas*

Figure

  • Fig. 1 Correlation of national aminoglycoside usage and gentamicin-resistance rates (%) of P. aeruginosa (GEN-R-PAE) isolated from general hospitals. Correlation of gentamicin usage and GEN-R-PAE (correlation coefficient r=0.83, P=0.0028); correlation of total aminoglycoside usage and GEN-R-PAE (r=0.92, P=0.0001).

  • Fig. 2 Correlation of national amikacin usage and amikacin-resistance rates (%) of P. aeruginosa (AMK-R-PAE) isolated from general hospitals. Correlation of amikacin usage and AMK-R-PAE in the same year (correlation coefficient r=–0.11, P=0.8192); correlation of amikacin usage and AMK-R-PAE with 2-year interval (r=0.77, P=0.0145).


Reference

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