[Prediction of Severe Course in Infants with RSV Bronchiolitis under 6 Months. Spain]

José Miguel Ramos-Fernández1, David Moreno-Pérez2,3, Mario Gutiérrez-Bedmar4

  • 1Unidad de Gestión Clínica de Pediatría. Hospital Materno-Infantil Regional Universitario de Málaga. Málaga. España.

Insights

In infants under 6 months with acute bronchiolitis (AB), 8.1% required mechanical ventilation (MV). Male sex, low weight, poor intake, and apneas were key risk factors for severe outcomes.

Area of Science:

  • Pediatric Critical Care Medicine
  • Neonatology
  • Infectious Diseases

Background:

  • Respiratory syncytial virus (RSV) is a common cause of acute bronchiolitis (AB) in infants.
  • Mechanical ventilation (MV) is sometimes required for severe cases of AB.
  • Predicting the need for MV in infants with AB is crucial for resource allocation and timely intervention.

Purpose of the Study:

  • To determine the incidence of pediatric intensive care unit (PICU) admission for MV in infants under 6 months with AB.
  • To identify risk factors associated with the need for MV in this population.
  • To develop a predictive model for severe AB requiring MV.

Main Methods:

  • Retrospective study of infants under 6 months admitted with RSV-associated AB from 2010-2015.
  • Analysis of clinical variables to identify risk factors for PICU admission and MV.
  • Development of a binary logistic regression model and ROC curve analysis to assess predictive performance.

Main Results:

  • 56 out of 695 infants (8.1%) required MV in the PICU.
  • Significant risk factors for MV included male sex, low weight percentile, poor oral intake, clinical severity score, pre-admission apneas, and bacterial superinfection.
  • Postmenstrual age and gestational age >37 weeks were protective factors.

Conclusions:

  • The incidence of MV for AB in infants under 6 months is 8.1%.
  • A predictive model incorporating identified risk factors can help identify infants at high risk for severe AB requiring MV.
  • This model can aid clinicians in anticipating and managing severe cases.
Abstract

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