Anat Reiner-Benaim

Senior Academic

Prediction Models for Serious Bacterial Infection in Infants Up to 90 Days of Age

Halima Dabaja-Younis, Nadeen Makhoul, Rozeen Abu Shqara, Ranaa Damouni Shalabi, Anat Reiner-Benaim, Manfred S. Green, Imad Kassis

In a decade-long retrospective study at a tertiary center, predictive models for serious bacterial infections (SBIs) in febrile infants <90 days were devised. Among 1250 infants, SBIs were found in 18.4% of those <29 days and 15.1% of those aged 29 to 89 days. Elevated absolute neutrophil count (ANC) (>7500 mm3) and C-reactive protein (CRP) (>3 mg/dL) were risk factors in both groups, with viral-like illness in family members being protective. Diarrhea was a risk factor in the younger group and protective in the older group, while female sex was a risk factor in the older group. The “NeoSBIscore,” incorporating these factors with signs of focal infection and abnormal urinalysis, exhibited 94.7% sensitivity and 97.0% negative predictive value (NPV) in <29 days and 92.8% sensitivity and 94.7% NPV in older infants, effectively detecting SBI with higher thresholds of widely available biomarkers and comprehensive clinical details. This tool aids in SBI risk assessment.

Publication language English

Keywords

90 days
febrile
infants
prediction
serious bacterial infection

ASJC Scopus subject areas

Pediatrics, Perinatology, and Child Health

PubMed: MeSH publication types

Journal Article
Access to Document
10.1177/00099228251396239
Other files and links
Link to publication in Scopus