A simple prediction tool for inhaled corticosteroid response in asthmatic children
Journal
BMC pulmonary medicine
Journal Volume
17
Journal Issue
1
Pages
176
Date Issued
2017
Author(s)
Abstract
BACKGROUND: Inhaled corticosteroids are recommended as the first-line controller medication for childhood asthma owing to their multiple clinical benefits. However, heterogeneity in the response towards these drugs remains a significant clinical problem.METHODS: Children aged 5 to 18?years with mild to moderate persistent asthma were recruited into the Taiwanese Consortium of Childhood Asthma Study. Their responses to inhaled corticosteroids were assessed based on their improvements in the asthma control test and peak expiratory flow. The predictors of responsiveness were demographic and clinical features that were available in primary care settings. We have developed a prediction model using logistic regression and have simplified it to formulate a practical tool. We assessed its predictive performance using the area under the receiver operating characteristic curve.RESULTS: Of the 73 asthmatic children with baseline and follow-up outcome measurements for inhaled corticosteroids treatment, 24 (33%) were defined as non-responders. The tool we have developed consisted of three predictors yielding a total score between 0 and 5, which are comprised of the following parameters: the age at physician-diagnosis of asthma, sex, and exhaled nitric oxide. Sensitivity and specificity of the tool for prediction of inhaled corticosteroids non-responsiveness, for a score of 3, were 0.75 and 0.69, respectively. The areas under the receiver operating characteristic curve for the prediction tool was 0.763.CONCLUSIONS: Our prediction tool represents a simple and low-cost method for predicting the response of inhaled corticosteroids treatment in asthmatic children.
SDGs
Other Subjects
corticosteroid; immunoglobulin E; nitric oxide; adolescent; age; asthma; breath analysis; child; eosinophil; female; human; immunology; inhalational drug administration; leukocyte count; male; metabolism; neutrophil; odds ratio; pathophysiology; preschool child; prognosis; receiver operating characteristic; severity of illness index; sex factor; statistical model; Taiwan; treatment failure; treatment outcome; Administration, Inhalation; Adolescent; Adrenal Cortex Hormones; Age Factors; Asthma; Breath Tests; Child; Child, Preschool; Eosinophils; Female; Humans; Immunoglobulin E; Leukocyte Count; Logistic Models; Male; Neutrophils; Nitric Oxide; Odds Ratio; Prognosis; ROC Curve; Severity of Illness Index; Sex Factors; Taiwan; Treatment Failure; Treatment Outcome
Type
journal article