Association between time to gram stain positivity and true bacteremia in pediatric emergency department patients

Brandon Noyon1, Alino Demean Loghin1, Charlotte Grandjean-Blanchet2

  • 1Faculty of medicine, Université de Montréal, Montréal, QC, Canada.

Insights

Time to Gram stain positivity in blood cultures can help differentiate true bacteremia from contaminants in febrile children. Faster positivity times strongly indicate true bacteremia, aiding clinical decisions.

Area of Science:

  • Pediatric Infectious Diseases
  • Clinical Microbiology
  • Emergency Medicine

Background:

  • Febrile children with positive blood cultures pose a diagnostic challenge due to the risk of true bacteremia versus contaminants.
  • Accurate differentiation is crucial for timely and appropriate patient management.

Purpose of the Study:

  • To investigate the association between the time to Gram stain positivity and the likelihood of true bacteremia in pediatric patients with positive blood cultures.
  • To provide data to aid emergency department (ED) decision-making regarding positive blood cultures.

Main Methods:

  • Secondary analysis of a retrospective cohort study (2018-2024) of children with positive blood cultures in a tertiary pediatric ED.
  • True bacteremia was defined using a two-step approach: bacterial identification and clinical outcome assessment.
  • Correlation between time to Gram stain positivity and bacteremia likelihood was assessed by comparing median times and calculating probabilities.

Main Results:

  • Median time to Gram stain positivity was significantly shorter for true bacteremia (14 hours) compared to contaminants (19 hours).
  • Probability of bacteremia ranged from 94% for positivity <10 hours to 19% for positivity >48 hours.
  • Approximately 90% of true bacteremia cases showed positivity within 24 hours.

Conclusions:

  • Time to Gram stain positivity is a reliable indicator for distinguishing true bacteremia from contaminants in pediatric blood cultures.
  • This finding can help optimize patient management, potentially reducing unnecessary interventions and hospital stays.
Abstract