Screening for resistant gram-negative microorganisms to guide empiric therapy of subsequent infection

Evangelos Papadomichelakis1, Flora Kontopidou, Anastasia Antoniadou

  • 12nd Critical Care Department, Athens University Medical School, University General Hospital "ATTIKON", Rimini 1, Athens 12462, Greece. edpapado@in.gr

Intensive Care Medicine
|August 21, 2008
PubMed
Abstract

Insights

Resistant gram-negative colonization surveillance accurately predicts infection causes and significantly improves empiric antimicrobial treatment for ventilator-associated pneumonia and bloodstream infections in ICUs.

Area of Science:

  • Infectious Diseases
  • Critical Care Medicine
  • Microbiology

Background:

  • Antimicrobial resistance in gram-negative pathogens poses a significant threat in intensive care units (ICUs).
  • Predicting the etiology of infections and optimizing empiric antimicrobial therapy are crucial for patient outcomes.

Purpose of the Study:

  • To evaluate the predictive value of resistant gram-negative colonization surveillance.
  • To determine if this surveillance can enhance the adequacy of empiric antimicrobial treatment in ICU patients.

Main Methods:

  • A retrospective cohort study was conducted in a mixed medical-surgical ICU from 2003 to 2006.
  • Systematic colonization surveillance of respiratory and gastrointestinal tracts was performed using antibiotic-enriched media cultures.
  • Analysis focused on patients with ventilator-associated pneumonia (VAP) or bloodstream infections (BSI) caused by resistant gram-negative pathogens.

Main Results:

  • High concordance (82% for VAP, 86% for BSI) was observed between previous colonization and subsequent infection pathogens.
  • Colonization surveillance demonstrated high sensitivity and specificity for VAP and good specificity for BSI.
  • Knowledge of colonization status significantly improved adequate empiric antimicrobial treatment rates (e.g., 91% vs. 40% for VAP).

Conclusions:

  • Resistant gram-negative colonization surveillance is a valuable tool for predicting infection etiology in critical care settings.
  • Implementing such surveillance can lead to more appropriate and effective empiric antimicrobial therapy, improving patient management.

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