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Published on: November 4, 2010
Predictors of asthma control and lung function responsiveness to step 3 therapy in children with uncontrolled asthma
Nathan Rabinovitch1, David T Mauger2, Nichole Reisdorph1
1Department of Pediatrics, National Jewish Health and University of Colorado Denver School of Medicine, Denver, Colo.
Insights
Predicting asthma treatment response in children is key. Peripheral airway obstruction and inflammation markers may predict how children respond to specific asthma therapies like LABA, LTRA, or ICS.
Area of Science:
- Pediatric Pulmonology
- Asthma Therapeutics
- Personalized Medicine
Background:
- Identifying predictors for treatment response in children with persistent asthma remains a challenge.
- Heterogeneity in patient responsiveness to step 3 asthma therapies necessitates further investigation.
Purpose of the Study:
- To identify predictors of asthma control and lung function responsiveness to step 3 therapy in children.
- To evaluate baseline biological, clinical, and demographic markers associated with treatment response.
Main Methods:
- Post hoc analysis of the BADGER study.
- Assessed associations between baseline markers and response to inhaled corticosteroid (ICS), leukotriene receptor antagonist (LTRA), or long-acting β₂-agonist (LABA) step-up therapies.
- Utilized multivariate analyses to identify significant predictors.
Main Results:
- Higher impulse oscillometry reactance area predicted differential FEV₁ response favoring LABA over ICS.
- Elevated urinary leukotriene E₄ levels showed a marginal association with differential FEV₁ response favoring LTRA over LABA.
- Distinct predictors were observed for lung function versus asthma control day responses.
Conclusions:
- Impulse oscillometry reactance area and urinary leukotriene E₄ levels can differentiate responses to LABA versus LTRA or ICS step-up therapies.
- These markers indicate peripheral airway obstruction and cysteinyl leukotriene inflammation, respectively.
- Further research incorporating physiologic, genetic, and biological markers is needed to predict individual responses, particularly to LABA therapy.
Background:
Predictors of improvement in asthma control and lung function to step 3 therapy in children with persistent asthma have not been identified despite reported heterogeneity in responsiveness.
Objective:
We sought to evaluate potential predictors of asthma control and lung function responsiveness to step 3 therapy.
Methods:
A post hoc analysis from the Best Add-On Giving Effective Response (BADGER) study tested the association between baseline biological, asthma control, pulmonary function, and demographic markers and responsiveness to step-up to a higher dose of inhaled corticosteroid (ICS step-up therapy) or addition of leukotriene receptor antagonist (LTRA step-up therapy) or long-acting β₂-agonist (LABA step-up therapy).
Results:
In multivariate analyses higher impulse oscillometry reactance area was associated (P = .048) with a differential FEV₁ response favoring LABA over ICS step-up therapy, whereas higher urinary leukotriene E₄ levels were marginally (P = .053) related to a differential FEV₁ response favoring LTRA over LABA step-up therapy. Predictors of differential responses comparing ICS with LTRA step-up therapy were not apparent, probably because of suppression of allergic markers with low-dose ICS treatment. Minimal overlap was seen across FEV₁ and asthma control day predictors, suggesting distinct mechanisms related to lung function and asthma control day responses.
Conclusion:
Levels of impulse oscillometry reactance area indicating peripheral airway obstruction and urinary leukotriene E₄ levels indicating cysteinyl leukotriene inflammation can differentiate LABA step-up responses from responses to LTRA or ICS step-up therapy. Further studies with physiologic, genetic, and biological markers related to these phenotypes will be needed to predict individual responses to LABA step-up therapy.
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