Prevalence of methicillin-resistant Staphylococcus aureus : effect of different criteria for elimination of

Ledicia Álvarez-Paredes1, Natividad López-Riquelme, Juan Carlos Rodríguez

  • 1S. Microbiología, Hospital General Universitario de Elche, Spain.

Chemotherapy
|August 21, 2014
PubMed
Abstract

Insights

Duplicate elimination methods significantly impact methicillin-resistant Staphylococcus aureus (MRSA) infection prevalence calculations. The European Antimicrobial Surveillance System (EARSS) method is recommended for accurate MRSA surveillance.

Area of Science:

  • Medical Microbiology
  • Infectious Disease Epidemiology
  • Antimicrobial Resistance

Background:

  • Accurate calculation of methicillin-resistant Staphylococcus aureus (MRSA) infection prevalence is crucial for public health.
  • Duplicate isolates can skew prevalence data, necessitating effective duplicate elimination strategies.

Purpose of the Study:

  • To compare the effectiveness of different duplicate elimination systems for optimizing MRSA prevalence calculations.
  • To identify the most reliable method for determining the true prevalence of MRSA infections.

Main Methods:

  • Comparison of three duplicate elimination criteria: Clinical and Laboratory Standards Institute (CLSI), time-based criteria, and the European Antimicrobial Surveillance System (EARSS) criterion.
  • Analysis of MRSA isolate data to assess the impact of each criterion on prevalence and resistance rates.

Main Results:

  • Multiple MRSA isolates from the same patient are common, highlighting the need for duplicate elimination.
  • Time criteria and EARSS criteria significantly increased S. aureus isolate counts (up to 36% and 13%, respectively) compared to CLSI.
  • Methicillin resistance rates also increased, ranging from 3.31% to 3.96% (p < 0.01) with these methods.

Conclusions:

  • The European Antimicrobial Surveillance System (EARSS) method is considered superior for accurately determining MRSA prevalence.
  • Implementation of EARSS with robust quality controls and modern software enhances the reliability of MRSA surveillance data.

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