Advertisement
Abstract| Volume 41, ISSUE 6, P744, December 2011

Clinical Predictors of Admission in Infants with Acute Bronchiolitis

Marlais M, Evans J, Abrahamson E. Arch Dis Child 2011;96:648–52.
      Bronchiolitis is common in infants, and deciding whether or not to admit these patients can be difficult in the emergency department (ED). Researchers at a large, urban academic center in the United Kingdom sought to identify clinical predictors of hospital admission in infants presenting with bronchiolitis and to devise a clinical risk scoring system in this population. The authors retrospectively examined the clinical records of 449 infants that presented with acute bronchitis over a 1-year period. Of these patients, 163 (36%) were admitted to the hospital. A total of 29 potential risk predictors were evaluated, and the most accurate predictors of hospital admission were age, duration of symptoms, heart rate, respiratory rate, and oxygen saturation. Predictors with incomplete data sets or that were objective in nature, were excluded. The authors then took these predictors and developed a scoring system assessing the need for admission. The authors assigned the following predictors 1 point each: age < 18 weeks, symptom duration < 5 days, heart rate 155 beats/min or greater, respiratory rate 50 breaths/min or greater, and oxygen saturation < 97%. A clinical risk score of 3 or more resulted in a sensitivity of 74% for predicting admission (specificity 77%, positive predictive value 67%, and negative predictive value 83%).
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Journal of Emergency Medicine
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect