Use of RAPD-ALF analysis for investigating the frequency of bacterial cross-transmission in an adult intensive care

C A Webster1, K J Towner

  • 1Department of Microbiology & PHLS Laboratory, University Hospital, Queen's Medical Centre, Nottingham, NG7 2UH.

Insights

Random amplified polymorphic DNA (RAPD)-automated laser fluorescence (ALF) analysis effectively identified bacterial cross-transmission in an adult intensive care unit (ICU). Antibiogram typing alone is unreliable for detecting patient-to-patient bacterial spread.

Area of Science:

  • Microbiology
  • Infectious Diseases
  • Intensive Care Medicine

Background:

  • Bacterial cross-transmission poses a significant risk in intensive care units (ICUs).
  • Accurate detection methods are crucial for infection control.
  • Conventional antibiogram typing has limitations in identifying transmission events.

Purpose of the Study:

  • To compare the efficacy of random amplified polymorphic DNA (RAPD)-automated laser fluorescence (ALF) analysis with conventional antibiogram typing for detecting bacterial cross-transmission in an adult ICU.
  • To assess the reliability of antibiogram data for identifying gram-negative bacterial spread.

Main Methods:

  • A 12-month prospective study in an adult ICU.
  • Generation of random amplified polymorphic DNA (RAPD) fingerprinting profiles.
  • Automated laser fluorescence (ALF) analysis for bacterial strain differentiation.
  • Comparison of RAPD-ALF results with conventional antibiogram typing.

Main Results:

  • 215 gram-negative bacterial isolates from 160 patients were analyzed.
  • RAPD-ALF identified 22 possible cross-transmission episodes, involving 70 patients, with 19 confirmed by epidemiology.
  • Antibiogram typing identified 31 possible episodes, but only 3 correlated with RAPD-ALF findings.

Conclusions:

  • Random amplified polymorphic DNA (RAPD)-automated laser fluorescence (ALF) analysis is a reliable and rapid method for investigating gram-negative bacterial cross-transmission in ICUs.
  • Conventional antibiogram typing is unreliable for assessing bacterial spread unless organisms have unique resistance patterns.
  • RAPD-ALF provides valuable insights into bacterial population dynamics in critical care settings.