Erythromycin resistance in Streptococcus pyogenes and macrolide consumption in a central Italian region

F Montagnani1, L Stolzuoli, L Croci

  • 1Clinic and Laboratory of Infectious Diseases, Molecular Biology Department, University of Siena, Ospedale Le Scotte, Piano 0 lotto IV, Viale Bracci 16, Siena, Italy. montagnani2@unisi.it

Infection
|January 13, 2009
PubMed
Abstract

Insights

Macrolide resistance in Streptococcus pyogenes decreased significantly in Italy. Once-daily macrolide use correlated with increased resistance, suggesting selective pressure from long-acting antibiotics.

Area of Science:

  • Microbiology
  • Epidemiology
  • Pharmacology

Background:

  • Investigated macrolide resistance in Streptococcus pyogenes in central Italy (2001-2006).
  • Examined the correlation between antibiotic consumption and resistance fluctuations.

Purpose of the Study:

  • To determine macrolide resistance trends in S. pyogenes.
  • To assess the relationship between macrolide consumption patterns and resistance rates.

Main Methods:

  • Tested macrolide and lincosamide susceptibility of 1,419 S. pyogenes isolates using the Kirby Bauer method.
  • Evaluated macrolide consumption (defined daily dose/1,000 inhabitants/day).
  • Used Spearman's correlation to assess associations between resistance and macrolide use (pooled, once, twice, or thrice daily).

Main Results:

  • 320 strains (22.6%) exhibited erythromycin resistance (11.4% M phenotype, 11.2% MLS phenotype).
  • Erythromycin resistance significantly decreased from 28.1% (2001) to 15.6% (2006) (p < 0.01).
  • No significant correlation found between overall macrolide consumption and resistance; however, a significant correlation existed between resistance rates and once-daily macrolide use in the preceding 6 months (r = 0.747, p = 0.008).

Conclusions:

  • The study highlights a significant decrease in macrolide resistance over time.
  • Once-daily macrolide regimens, potentially due to long-acting agents, showed a selective pressure effect on S. pyogenes resistance.
  • Local epidemiology can be influenced by specific antibiotic usage patterns within short timeframes.

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