To the Editor The treatment of febrile illness among young infants poses a substantial challenge owing to fatal complications derived from serious bacterial infections (SBI). The development of algorithms can provide a means of transferring expert knowledge to the novice to limit unnecessary interventions. The algorithm proposed by Kuppermann et al1 is simple and yields high negative predictive value (99.6%) in identifying infants with SBIs based on 3 variables: urinalysis, neutrophil count, and procalcitonin.
Verd S, Moll P. Efficacy of a Clinical Prediction Rule to Identify Febrile Young Infants at Low Risk for Serious Bacterial Infections. JAMA Pediatr. Published online August 19, 2019173(10):996–997. doi:10.1001/jamapediatrics.2019.2630
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