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Clinical Usefulness of a Multi-analyte Immunoassay for Distinguishing Bacterial and Viral Infections in Children

Study acronym: PED_BIOMARKERS
StatusActive, Not Recruiting
PhaseNot applicable
Started
View on ClinicalTrials.gov ↗
Record status
This record was last updated February 28, 2025 (before its estimated December 2025 completion). Its status may not reflect the trial's current state.

Record History

  1. Minor Study First Submitted
Fever can be a clinical manifestation present in pediatric infections, posing a challenge for the doctor who must decide whether or not to prescribe an antibiotic therapy. Routine blood tests can assist the doctor in making a decision, although their response times often do not allow for timely therapeutic decisions. Therefore, there is an increased risk of inappropriate prescribing antibiotics for children with viral infections, which contributes to the increase in antibiotic resistance. There is evidence suggesting the effectiveness of certain biomarkers in distinguishing viral from bacterial forms. Biomarkers of potential interest include tumor necrosis factor-related apoptosis-inducing ligand (TRAIL), interferon gamma-inducible protein of 10 kDa (IP-10), and C-reactive protein. The combination of those tests could distinguish between bacterial and viral infections with 90-94% sensitivity, 88-92.8% specificity, 59-81% positive predictive value and 97-98.8% negative predictive value. This is prospective study using biological samples that aims to evaluate the best diagnostic algorithm for obtaining an early and accurate etiological diagnosis (bacterial infection vs viral infection) of a febrile pediatric patient presenting at the Emergency Department, by comparing the standard algorithm with the diagnostic algorithm integrated with the results of the multi-analytic test.
Trial Details
NCT Number NCT06852846
Lead Sponsor Meyer Children's Hospital IRCCS
Conditions
(from sponsor)
Febrile Illness
Enrollment 100 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov