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The Dienes effect as an epidemiological tool in a paraplegic unit

R Herruzo-Cabrera1, J Garcia-Caballero, M J Medrano-Albero

  • 1Preventive Medicine Service La Paz Medical Center, Madrid, Spain.

Insights

The Dienes effect reliably identifies microbial cross-infections and contamination in hospitals. This stable epidemiological tool helps track and stop infection spread, even when antibiotic resistance changes.

Area of Science:

  • Microbiology
  • Epidemiology
  • Infectious Diseases

Background:

  • Cross-infections and cross-contaminations pose significant risks in healthcare settings, particularly for vulnerable patient populations.
  • Understanding microbial transmission dynamics is crucial for effective infection control.

Purpose of the Study:

  • To evaluate the Dienes effect as a stable epidemiological tool for identifying cross-infections and cross-contaminations.
  • To assess the persistence of the Dienes effect in microbial strains, even after modifications in antibiotic resistance.

Main Methods:

  • The Dienes effect was studied in 136 P.mirabilis strains and 2 P.vulgaris strains from spinal cord-injured patients.
  • Microbial strains were isolated from various infection and colonization sites over a 9-month period.
  • Antibiotic resistance modification was induced using acriflavine salts to test the Dienes effect's stability.

Main Results:

  • Seven cross-infection and 18 cross-contamination episodes were identified, affecting 13 out of 27 patients.
  • The Dienes effect demonstrated high stability, with 97% of results reproducible after 6 months of strain storage.
  • The Dienes effect persisted in 7 strains even after their antibiotic resistance was altered by acriflavine treatment.

Conclusions:

  • The Dienes effect is a reliable and stable epidemiological marker for detecting cross-infections and their sources.
  • This method aids in interrupting the chain of infection within healthcare environments.
  • The persistence of the Dienes effect highlights its utility irrespective of changes in microbial antibiotic resistance profiles.

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