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Predicting need for hospitalization in acute pediatric asthma
Marc Gorelick1, Philip V Scribano, Martha W Stevens
1Department of Pediatrics, Medical College of Wisconsin and Children's Research Institute, Milwaukee, WI, USA. mgorelic@mcw.edu
Pediatric Emergency Care
|October 29, 2008
Summary
A simple clinical model accurately predicts successful emergency department discharge for children with acute asthma. However, predicting the need for extended care or inpatient admission remains challenging.
Area of Science:
- Pediatric Emergency Medicine
- Respiratory Medicine
- Clinical Decision Support
Background:
- Acute asthma is a common reason for pediatric emergency department (ED) visits.
- Accurate disposition decisions are crucial for optimizing patient care and resource allocation.
Purpose of the Study:
- To develop and validate predictive models for determining hospitalization needs in children with acute asthma treated in the ED.
- To improve disposition decisions for pediatric asthma patients.
Main Methods:
- Prospective cohort study involving children aged 2+ years treated for acute asthma in two pediatric EDs.
- Development of predictive models using logistic regression and recursive partitioning with historical and clinical data.
- Validation of models in an independent ED cohort.
Main Results:
- A model incorporating the Pediatric Asthma Severity Score and albuterol treatments accurately predicted successful ED discharge (AUC 0.89-0.92).
- A classification tree using ED treatment data, clinical score, and pulse oximetry showed moderate accuracy (62-63%) in predicting short-stay vs. inpatient care.
Conclusions:
- A straightforward clinical model can reliably predict which children with acute asthma can be safely discharged from the ED.
- Predicting the specific disposition (short-stay vs. inpatient) for children requiring extended care presents a significant challenge.
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