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

Acta Paediatr. 2001 Nov;90(11):1226-32. doi: 10.1080/080352501317130236.


The aim of this study was to design a clinical rule to predict the presence of a serious bacterial infection in children with fever without apparent source. Information was collected from the records of children aged 1-36 mo who attended the paediatric emergency department because of fever without source (temperature > or = 38 degrees C and no apparent source found after evaluation by a general practitioner or history by a paediatrician). Serious bacterial infection included bacterial meningitis, sepsis, bacteraemia, pneumonia, urinary tract infection, bacterial gastroenteritis, osteomyelitis and ethmoiditis. Using multivariate logistic regression and the area under the receiver operating characteristic curve (ROC area), the diagnostic value of predictors for serious bacterial infection was judged, resulting in a risk stratification. Twenty-five percent of the 231 patients enrolled in the study (mean age 1.1 y) had a serious bacterial infection. Independent predictors from history and examination included duration of fever, poor micturition, vomiting, age, temperature < 36.7 degrees C or > or = 40 degrees C at examination, chest-wall retractions and poor peripheral circulation (ROC area: 0.75). Independent predictors from laboratory tests were white blood cell count, serum C-reactive protein and the presence of >70 white blood cells in urinalysis (ROC area: 0.83). The risk stratification for serious bacterial infection ranged from 6% to 92%.

Conclusion: The probability of a serious bacterial infection in the individual patient with fever without source can be estimated more precisely by using a limited number of symptoms, signs and laboratory tests.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bacterial Infections / diagnosis*
  • Child, Preschool
  • Decision Support Techniques*
  • Female
  • Fever of Unknown Origin / diagnosis*
  • Fever of Unknown Origin / microbiology*
  • Humans
  • Infant
  • Logistic Models
  • Male
  • Multivariate Analysis
  • Netherlands
  • ROC Curve
  • Risk Factors