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.
Abstract

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