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Comment & Response
August 19, 2019

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

Author Affiliations
  • 1Pediatric Unit, La Vileta Surgery, Department of Primary Care, Balearic Health Authority, Palma de Mallorca, Spain
  • 2Family Medicine Unit, La Vileta Surgery, Department of Primary Care, Balearic Health Authority, Palma de Mallorca, Spain
JAMA Pediatr. 2019;173(10):996-997. doi:10.1001/jamapediatrics.2019.2630

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.

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