Clinical Prediction Rule to Identify Febrile Young Infants at Low Risk for Serious Bacterial Infections

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 al is simple and yields high negative predictive value (99.6%) in identifying infants with SBIs based on 3 variables: urinalysis, neutrophil count, and procalcitonin.

Source: JAMA Pediatrics - August 19, 2019 Category: Pediatrics Source Type: research