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Updated: Jun 23, 2026

High-throughput Detection Method for Influenza Virus
Published on: February 4, 2012
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.
Objective:
Influenza virus infections cause significant morbidity and often result in hospitalization in children. Many children with influenza seek care in emergency settings during seasonal influenza epidemics. We hypothesized that certain features could predict the need for hospitalization in children with influenza.
Methods:
Retrospective cohort study of all children 18 years or younger seen at a children's hospital with laboratory-confirmed influenza infection between July 2001 and June 2004. Medical records of children with confirmed influenza virus infection were reviewed. Predictors of admission were identified using logistic regression models. An influenza risk score system was created and validated based on 4 predictors.
Results:
We identified 1230 children with laboratory proven influenza virus infection, 541 were hospitalized. Multivariate logistic regression demonstrated that 4 predictors were independently strongly associated with hospitalization. In the clinical prediction rule for children with influenza who were hospitalized, history of a high-risk medical condition (odds ratio [OR], 4.06; 95% confidence interval [CI], 2.91-5.68) was worth 2 points. Respiratory distress on physical examination (OR, 2.33; 95% CI, 1.61-3.38) was worth 1 point. Radiographic evidence of focal pneumonia (OR, 7.82; 95% CI, 3.62-16.92) was worth 3 points and influenza B infection (OR, 3.99; 95% CI, 2.57-6.21) was worth 2 points. High-risk children with influenza with a total risk score of 3 to 8 had an 86% probability of hospitalization.
Conclusions:
The presence of a high-risk medical condition, respiratory distress on physical examination, radiographic evidence of focal pneumonia, and influenza B infection were the 4 strongest predictors of hospitalization. The risk score assigned to a child with influenza may provide a disposition tool for predicting hospitalization in children in seasonal influenza epidemics.
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