Insights into epidemiological and clinical burden of bronchiolitis among hospitalized children: a call for preventive

Rahaf Abughosh1, Fatmah Almesmari1, Noora Alattar1

  • 1Pediatric Residency Program, Education Institute, Abu Dhabi, United Arab Emirates.

Insights

Bronchiolitis hospitalization in infants is common, with hypoxia and comorbidities predicting longer stays. Early identification of these risk factors is key for better resource management during peak seasons.

Area of Science:

  • Pediatrics
  • Infectious Diseases
  • Healthcare Management

Background:

  • Bronchiolitis is a major cause of infant hospitalization, straining healthcare systems during seasonal surges.
  • Current management is primarily supportive, with limited tools to predict disease severity or length of stay.
  • Understanding risk factors and economic impact is crucial for resource allocation.

Purpose of the Study:

  • To analyze the clinical epidemiology of bronchiolitis hospitalizations.
  • To identify seasonal trends and risk factors for prolonged length of stay (LOS) and pediatric intensive care unit (PICU) escalation.
  • To estimate the economic burden of bronchiolitis hospitalizations.

Main Methods:

  • Retrospective cross-sectional study of infants (0-24 months) admitted with bronchiolitis.
  • Data collected: demographics, clinical features, comorbidities, lab findings, oxygen needs, and care escalation.
  • Multivariable regression models analyzed LOS, PICU escalation, and hospitalization costs.

Main Results:

  • 598 infants hospitalized; 47% tested positive for Respiratory Syncytial Virus (RSV).
  • Hypoxia, hypercapnia, comorbidities, shorter symptom duration, and secondary pneumonia predicted prolonged LOS.
  • RSV infection, hypoxia, hypercapnia, comorbidities, and secondary pneumonia predicted PICU escalation.

Conclusions:

  • Early identification of infants with hypoxia, hypercapnia, comorbidities, or secondary pneumonia is critical.
  • Anticipating prolonged hospitalization aids resource planning and targeted prevention during seasonal peaks.
  • This data can optimize management strategies for severe bronchiolitis cases.
Abstract

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