Derivation of a clinical-based model to detect invasive bacterial infections in febrile infants.

ABSTRACT:

Background

Febrile infants are at risk for invasive bacterial infections (IBIs) (i.e., bacteremia and bacterial meningitis), which, when undiagnosed, may have devastating consequences. Current IBI predictive models rely on serum biomarkers, which may not provide timely results and may be difficult to obtain in low-resource settings.

Objective

The aim of this study was to derive a clinical-based IBI predictive model for febrile infants.

Designs, setting, and participants

This is a cross-sectional study of infants brought to two pediatric emergency departments from January 2011 to December 2018. Inclusion criteria were age 0-90 days, temperature ≥38°C, and documented gestational age, fever duration, and illness duration.

Main outcome and measures

To detect IBIs,

SUBMITTER: Yaeger JP 

PROVIDER: S-EPMC9633417 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature