Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/8131
Title: Predicting hospitalization in children with acute asthma
Authors: Buyuktiryaki, A.B.
Civelek, E.
Can, D.
Orhan, F.
Aydogan, M.
Reisli, I.
Keskin, O.
Keywords: acute asthma
Emergency Department
GINA
hospitalization
modified pulmonary index score
corticosteroid
acute disease
article
asthma
child
clinical feature
disease severity
emergency care
female
Global Initiative for Asthma
human
major clinical study
male
Modified Pulmonary Index Score
practice guideline
predictive value
preschool child
priority journal
school child
scoring system
sensitivity and specificity
Adolescent
Asthma
Child
Child, Preschool
Emergency Service, Hospital
Female
Glucocorticoids
Hospitalization
Humans
Male
Practice Guidelines as Topic
Predictive Value of Tests
Risk Factors
ROC Curve
Sensitivity and Specificity
Severity of Illness Index
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 1st and 4th 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 1st 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 (? = 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 1st 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. © 2013 Published by Elsevier Inc.
URI: https://hdl.handle.net/11499/8131
https://doi.org/10.1016/j.jemermed.2012.10.015
ISSN: 0736-4679
Appears in Collections:PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Tıp Fakültesi Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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