Development and validation of a risk score for predicting hospitalization in children with influenza virus infection

Jeffrey M Bender1, Krow Ampofo, Per Gesteland

  • 1Department of Pediatrics, Division of Pediatric Infectious Disease, University of Utah School of Medicine, Salt Lake City, UT 84132, USA. Jeffrey.Bender@hsc.utah.edu

Insights

A new risk score can predict influenza hospitalization in children. Key factors include high-risk conditions, respiratory distress, pneumonia, and influenza B, aiding in emergency care decisions.

Area of Science:

  • Pediatrics
  • Infectious Diseases
  • Epidemiology

Background:

  • Influenza infections frequently lead to hospitalizations in children.
  • Emergency departments often manage pediatric influenza cases during epidemics.
  • Predictive factors for hospitalization in pediatric influenza are not well-established.

Purpose of the Study:

  • To identify predictors of hospitalization in children with laboratory-confirmed influenza.
  • To develop and validate a clinical prediction rule for pediatric influenza hospitalization.

Main Methods:

  • Retrospective cohort study of children (≤18 years) with confirmed influenza (2001-2004).
  • Analysis of medical records to identify predictors of admission using logistic regression.
  • Development of an influenza risk score based on four validated predictors.

Main Results:

  • 1230 children identified; 541 hospitalized.
  • Four independent predictors for hospitalization: high-risk medical condition (2 points), respiratory distress (1 point), focal pneumonia (3 points), and influenza B infection (2 points).
  • A risk score of 3-8 predicted an 86% probability of hospitalization in high-risk children.

Conclusions:

  • High-risk medical condition, respiratory distress, focal pneumonia, and influenza B are key predictors of pediatric influenza hospitalization.
  • The developed risk score can assist in disposition decisions for children with influenza during epidemics.
  • This tool may improve resource allocation and patient management in emergency settings.
Abstract