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BACKGROUND: Serious infections in children (sepsis, meningitis, pneumonia, pyelonephritis, osteomyelitis, and cellulitis) are associated with considerable mortality and morbidity. In children with an acute illness, the primary care physician uses signs and symptoms to assess the probability of a serious infection and decide on further management. AIM: To analyse the diagnostic accuracy of signs and symptoms, and to create a multivariable triage instrument. DESIGN OF STUDY: A prospective diagnostic accuracy study. SETTING: Primary care in Belgium. METHOD: Children aged 0-16 years with an acute illness for a maximum of 5 days were included consecutively. Signs and symptoms were recorded and compared to the final outcome of these children (a serious infection for which hospitalisation was necessary). Accuracy was analysed bivariably. Multivariable triage instruments were constructed using classification and regression tree (CART) analysis. RESULTS: A total of 3981 children were included in the study, of which 31 were admitted to hospital with a serious infection (0.78%). Accuracy of signs and symptoms was fairly low. Classical textbook signs (meningeal irritation impaired peripheral circulation) had high specificity. The primary classification tree consisted of five knots and had sensitivity of 96.8% (95% confidence interval [CI] = 83.3 to 99.9), specificity 88.5% (95% CI = 87.5 to 89.5), positive predictive value 6.2% (95% CI = 4.2 to 8.7), and negative predictive value 100.0% (95% CI = 99.8 to 100.0), by which a serious infection can be excluded in children testing negative on the tree. The sign paramount in all trees was the physician's statement 'something is wrong'. CONCLUSION: Some individual signs have high specificity. A serious infection can be excluded based on a limited number of signs and symptoms.


Journal article


Br J Gen Pract

Publication Date





538 - 546


Acute Disease, Adolescent, Child, Child, Preschool, Decision Trees, Family Practice, Female, Humans, Infant, Infant, Newborn, Infection, Male, Multivariate Analysis, Pneumonia, Predictive Value of Tests, Prospective Studies, Pyelonephritis, Reference Standards, Risk Factors, Sensitivity and Specificity