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J Emerg Med. 2013 May;44(5):919-27. doi: 10.1016/j.jemermed.2012.10.015. Epub 2013 Jan 16.

Predicting hospitalization in children with acute asthma.

Author information

1
Pediatric Allergy and Asthma Unit, Hacettepe University Faculty of Medicine, Ankara, Turkey.

Abstract

BACKGROUND:

Acute asthma is one of the most common medical emergencies in children. Appropriate assessment/treatment and early identification of factors that predict hospitalization are critical for the effective utilization of emergency services.

OBJECTIVE:

To identify risk factors that predict hospitalization and to compare the concordance of the Modified Pulmonary Index Score (MPIS) with the Global Initiative for Asthma (GINA) guideline criteria in terms of attack severity.

METHODS:

The study population was composed of children aged 5-18 years who presented to the Emergency Departments (ED) of the tertiary reference centers of the country within a period of 3 months. Patients were evaluated at the initial presentation and the 1(st) and 4(th) hours.

RESULTS:

Of the 304 patients (median age: 8.0 years [interquartile range: 6.5-9.7]), 51.3% and 19.4% required oral corticosteroids (OCS) and hospitalization, respectively. Attack severity and MPIS were found as predicting factors for hospitalization, but none of the demographic characteristics collected predicted OCS use or hospitalization. Hospitalization status at the 1(st) hour with moderate/severe attack severity showed a sensitivity of 44.1%, specificity of 82.9%, positive predictive value of 38.2%, and negative predictive value of 86.0%; for MPIS ≥ 5, these values were 42.4%, 85.3%, 41.0%, and 86.0%, respectively. Concordance in prediction of hospitalization between the MPIS and the GINA guideline was found to be moderate at the 1(st) hour (κ = 0.577).

CONCLUSION:

Attack severity is a predictive factor for hospitalization in children with acute asthma. Determining attack severity with MPIS and a cut-off value ≥ 5 at the 1(st) hour may help physicians in EDs. Having fewer variables and the ability to calculate a numeric value with MPIS makes it an easy and useful tool in clinical practice.

PMID:
23333182
DOI:
10.1016/j.jemermed.2012.10.015
[Indexed for MEDLINE]

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