PRAM Score as Predictor of Pediatric Asthma Hospitalization. (August 2014)

• Record Type: Journal Article
• Authors: Alnaji, Fuad; Zemek, Roger; Barrowman, Nick; Plint, Amy; Walthall, Jennifer
• Is Part Of: Academic emergency medicine. Volume 21:Number 8(2014:Aug.)
• Page Start: 872
• Page End: 878
• Publication Date: 2014-08
• Subjects: Emergency medicine -- Periodicals; 616.02505
• DOI: 10.1111/acem.12422
• Languages: English
• ISSNs: 1069-6563

Abstract

<abstract abstract-type="main" id="acem12422-abs-0001"> <title>Abstract</title> <sec id="acem12422-sec-0001" sec-type="section"> <title>Objectives</title> <p>The objective was to determine the association between asthma severity as measured by the Pediatric Respiratory Assessment Measure (PRAM) score and the likelihood of admission for pediatric patients who present to the emergency department (ED) with moderate‐to‐severe asthma exacerbations and who receive intensive asthma therapy.</p> </sec> <sec id="acem12422-sec-0002" sec-type="section"> <title>Methods</title> <p>This was a secondary analysis of a prospective study of triage nurse‐initiated steroid therapy in pediatric asthma. Children aged 2 to 17 years inclusive, presenting with moderate‐to‐severe acute asthma exacerbations (defined as PRAM ≥ 4), were included. To be eligible for inclusion in the study, children must have received "intensive asthma therapy, " defined as nurse‐initiated initial bronchodilator and oral steroid therapy at arrival to triage. PRAM scores were measured hourly as per ED protocol. The primary outcome was inpatient hospitalization; secondary outcome was ED stay greater than 8 hours. Logistic regression models were used to predict admission based on PRAM score at triage and then hourly thereafter. The area under the receiver operating characteristic curve (AUC) was calculated for each hour.</p> </sec> <sec id="acem12422-sec-0003" sec-type="section"> <title>Results</title> <p>A total of 297 patients were included in the analysis, with an admission rate of 11.4% for patients receiving intensive therapy. The 3‐hour PRAM (AUC = 0.85) significantly improved prediction of admission compared to PRAM at triage (p = 0.04).</p> </sec> <sec id="acem12422-sec-0004" sec-type="section"> <title>Conclusions</title> <p>The 3‐hour PRAM scores best predicts the need for hospitalization. These results may be applied in clinical settings to facilitate the decision to admit or initiate more aggressive adjunctive therapy to decrease the need for hospitalization.</p> </sec> </abstract>