Failure to Validate a Multivariable Clinical Prediction Model to Identify Pediatric Intensive Care Unit Patients at

Brian T Fisher1,2,3,4, Rachael K Ross1,2, Emmanuel Roilides5

  • 1Division of Infectious Diseases.

Insights

This study validated a clinical prediction rule for candidemia in pediatric intensive care units. Most previously identified predictors were not significantly associated with candidemia, indicating a need for further research.

Area of Science:

  • Pediatric Intensive Care Medicine
  • Infectious Diseases
  • Clinical Epidemiology

Background:

  • Candidemia is a serious bloodstream infection in critically ill children.
  • A clinical prediction rule was previously developed to identify children at risk for candidemia.

Purpose of the Study:

  • To validate a previously derived clinical prediction rule for candidemia in the pediatric intensive care unit (PICU).

Main Methods:

  • A multicenter case-control study was conducted.
  • The study assessed the association between previously identified predictors and candidemia in PICU patients.

Main Results:

  • Most previously identified predictors showed no significant association with candidemia in this cohort.
  • The existing clinical prediction rule requires further validation.

Conclusions:

  • The previously derived clinical prediction rule for candidemia in PICU patients could not be validated in this multicenter study.
  • Further research with larger cohorts and additional predictor variables is necessary to improve candidemia risk prediction in critically ill children.

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