Related Experiment Videos

Predicting serious bacterial infection in young children with fever without apparent source

S E Bleeker1, K G Moons, G Derksen-Lubsen

  • 1Department of Paediatrics, Sophia Children's Hospital, University Hospital Rotterdam, The Netherlands. bleeker@alkg.azr.nl

Insights

A clinical rule can accurately predict serious bacterial infections in febrile children without a source. Key predictors include fever duration, vomiting, and lab results like white blood cell count, aiding precise risk stratification.

Area of Science:

  • Pediatrics
  • Infectious Diseases
  • Clinical Decision Rules

Background:

  • Fever without a source is common in children, posing diagnostic challenges.
  • Identifying serious bacterial infections (SBIs) early is crucial for timely treatment and preventing complications.

Purpose of the Study:

  • To develop and validate a clinical rule for predicting SBIs in children aged 1-36 months presenting with fever without a source.
  • To stratify risk for SBIs using a combination of clinical and laboratory predictors.

Main Methods:

  • Retrospective analysis of 231 children (aged 1-36 months) with fever without a source.
  • Multivariate logistic regression and ROC curve analysis to identify independent predictors of SBI.
  • Development of a risk stratification model.

Main Results:

  • Twenty-five percent of patients had an SBI.
  • Clinical predictors (fever duration, poor micturition, vomiting, age, temperature extremes, chest retractions, poor circulation) showed moderate predictive value (ROC area: 0.75).
  • Laboratory predictors (WBC count, CRP, urinalysis WBCs) demonstrated higher predictive value (ROC area: 0.83).

Conclusions:

  • A clinical rule incorporating specific symptoms, signs, and laboratory tests can more precisely estimate the probability of SBI in children with fever without a source.
  • This tool aids in better risk stratification and management decisions.
Abstract

Related Concept Videos