BACKGROUND The bronchodilator response (BDR) reflects the reversibility of airflow obstruction and is recommended as an adjunctive test to diagnose asthma. The validity of the commonly used definition of BDR, a 12% or greater change in FEV1 from baseline, has been questioned in childhood. OBJECTIVES We sought to examine the diagnostic accuracy of the BDR test by using 3 large pediatric cohorts. METHODS Cases include 1041 children with mild-to-moderate asthma from the Childhood Asthma Management Program. Control subjects (nonasthmatic and nonwheezing) were chosen from Project Viva and Home Allergens, 2 population-based pediatric cohorts. Receiver operating characteristic curves were constructed, and areas under the curve were calculated for different BDR cutoffs. RESULTS A total of 1041 cases (59.7% male; mean age, 8.9 ± 2.1 years) and 250 control subjects (46.8% male; mean age, 8.7 ± 1.7 years) were analyzed, with mean BDRs of 10.7% ± 10.2% and 2.7% ± 8.4%, respectively. The BDR test differentiated asthmatic patients from nonasthmatic patients with a moderate accuracy (area under the curve, 73.3%). Despite good specificity, a cutoff of 12% was associated with poor sensitivity (35.6%). A cutoff of less than 8% performed significantly better than a cutoff of 12% (P = .03, 8% vs 12%). CONCLUSIONS Our findings highlight the poor sensitivity associated with the commonly used 12% cutoff for BDR. Although our data show that a threshold of less than 8% performs better than 12%, given the variability of this test in children, we conclude that it might be not be appropriate to choose a specific BDR cutoff as a criterion for the diagnosis of asthma.
Diagnostic accuracy of the bronchodilator response in children.
S. Tse,D. Gold,J. Sordillo,E. Hoffman,M. Gillman,S. Rifas-Shiman,A. Fuhlbrigge,K. Tantisira,S. Weiss,A. Litonjua
Published 2012 in Journal of Allergy and Clinical Immunology
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- Publication year
2012
- Venue
Journal of Allergy and Clinical Immunology
- Publication date
2012-05-01
- Fields of study
Medicine
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- Source metadata
Semantic Scholar, PubMed
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