Risk factors for urinary tract infections in children aged 0-36months presenting with fever without source and

J A Williams-Smith1, Y Fougère2, J-Y Pauchard1

  • 1Service of Pediatrics, Department Woman-Mother-Child, Lausanne University Hospital and University of Lausanne, 1000 Lausanne, Switzerland.

Insights

In vaccinated children with fever without source, urinary tract infections were the only serious bacterial infections found. A management algorithm identified all infections but had low specificity.

Area of Science:

  • Pediatric infectious diseases
  • Epidemiology of childhood infections
  • Clinical management algorithms

Background:

  • Children under 36 months with fever without source (FWS) are at risk for serious bacterial infections (SBI).
  • The incidence of occult bacteremia (OB) has significantly decreased in vaccinated children.
  • Evaluating the epidemiology and management of SBI in this population is crucial.

Purpose of the Study:

  • To describe the epidemiology of SBI in children presenting with FWS.
  • To assess the performance of a clinical management algorithm for identifying SBI in this cohort.
  • To identify predictors of SBI in young children with FWS.

Main Methods:

  • Prospective cohort study design.
  • Inclusion of children aged 0-36 months with FWS in an emergency unit.
  • Systematic recording of demographic, clinical, and investigational data, followed by 10-day outcome assessment.

Main Results:

  • 173 children were recruited; 96% were up-to-date with vaccinations.
  • Serious bacterial infections (SBI) were diagnosed in 27% of children, exclusively as urinary tract infections (UTI).
  • Predictors for UTI included chills, fever duration >2 days, and age <9 months. The management algorithm demonstrated 100% sensitivity but 21.4% specificity for SBI.

Conclusions:

  • In a highly vaccinated cohort, UTIs were the sole identified SBI among children with FWS; no cases of OB were detected.
  • The current management algorithm effectively identifies all SBIs but requires improvement in specificity.
  • Refining screening criteria for UTI may enhance the algorithm's specificity.
Abstract

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