Background Bronchiolitis is a significant cause of acute morbidity in the first 12 months of life and some infants with bronchiolitis are admitted to hospital. No studies have yet devised a scoring system to predict admission for routine use in the emergency department.
Aim To identify clinical predictors of hospital admission in infants with acute bronchiolitis and to devise a simple clinical risk scoring system which could be used to aid decision making in the emergency department.
Methods All infants presenting with acute bronchiolitis to a dedicated paediatric emergency department from April 2009 to March 2010 were included in the study. Clinical predictors of admission were determined through case note review and logistic regression analysis. The strongest predictors of admission were assimilated into a simple clinical risk scoring system using widely accepted statistical methods.
Results 449 infants presented with acute bronchiolitis during the study period (298 (66%) male, mean age 23±14.5 weeks). 163 (36%) infants were admitted to hospital. The five best predictors of admission (age, respiratory rate, heart rate, oxygen saturations and duration of symptoms) were incorporated into the bronchiolitis risk of admission scoring system. The area under the receiver operator characteristic curve was 0.81 (95% CI 0.77 to 0.85) at the optimal cut-off, demonstrating good diagnostic accuracy.
Conclusions The authors have identified important clinical predictors of admission in acute bronchiolitis. This information has been used to develop a simple clinical risk scoring system to aid decision making in the emergency department.
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Competing interests None.
Ethics approval The Chair of the Riverside Research Ethics Committee (Dr Sabita Uthaya) considered this study and decided that research ethics committee approval was not required.
Provenance and peer review Not commissioned; externally peer reviewed.
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