Structural equation modelling the relationship between anti-fungal prophylaxis and Pseudomonas bacteremia in ICU

James C Hurley1,2

  • 1Melbourne Medical School, University of Melbourne, Melbourne, Australia. jamesh@bhs.org.au.

Abstract

Insights

Candida and Pseudomonas colonization interact to increase bacteremia risk in ICUs. Antifungal agents effectively reduce Pseudomonas bacteremia, unlike topical antibiotic prophylaxis (TAP).

Area of Science:

  • Medical Microbiology
  • Infectious Diseases
  • Intensive Care Medicine

Background:

  • Animal models suggest Candida colonization facilitates invasive bacterial infections.
  • The clinical significance of this interaction in intensive care unit (ICU) patients is unclear.
  • Interventions to prevent ICU-acquired infections offer a natural experiment to study microbial interactions.

Purpose of the Study:

  • To investigate the clinical relevance of Candida colonization in facilitating invasive bacterial infections, specifically bacteremia, in ICU patients.
  • To explore the interaction between Candida and Pseudomonas colonization using generalized structural equation modeling (GSEM).

Main Methods:

  • Utilized data from 464 patient groups across 279 studies, including those with selective digestive decontamination (SDD) interventions.
  • Developed three candidate generalized structural equation models (GSEM) with Candida and Pseudomonas colonization as latent variables.
  • Analyzed blood culture and respiratory tract isolate data to assess the impact of antiseptic, antibiotic, and antifungal exposures.

Main Results:

  • A GSEM incorporating an interaction term between Candida and Pseudomonas colonization significantly improved model fit.
  • Antifungal agents (amphotericin) and antiseptics were associated with reduced Candida colonization, while topical antibiotic prophylaxis (TAP) showed a complex association.
  • Antifungal exposure was predicted to significantly reduce both candidemia and Pseudomonas bacteremia, whereas TAP showed no significant impact on Pseudomonas bacteremia.

Conclusions:

  • GSEM modeling of published data supports a significant interaction between Candida and Pseudomonas colonization in promoting bacteremia in ICU patients.
  • Antifungal agents demonstrate a greater impact on preventing Pseudomonas bacteremia compared to TAP.
  • GSEM is crucial for detecting such complex microbial interactions that might otherwise be missed.

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