Background: Asthma exacerbation risk increases with worsening asthma control. Prevailing numerical control tools evaluate only current symptom impairment despite the importance of also assessing risk based on exacerbation history. An easy-to-use questionnaire addressing impairment and risk domains of control is needed. Objective: To validate a composite asthma control tool that includes impairment and risk assessments (Asthma Impairment and Risk Questionnaire [AIRQ]). Methods: Four-hundred forty-two patients aged ≥12 years with physician-diagnosed asthma who were followed in specialty practices completed 15 impairment and risk questions with dichotomized yes/no responses. Patients spanned all Global Initiative for Asthma severities and were classified as well-controlled, not well-controlled, or very poorly controlled according to a standard of Asthma Control Test (ACT) score plus prior-year exacerbations. Logistic regression analyses identified questions with the greatest predictive validity to discriminate among patients and determine cut points for these 3 classifications. Results: The final AIRQ comprises 10 equally weighted yes/no impairment and risk questions. The final 10-item models yielded receiver operating characteristic curves of 0.94 to identify well-controlled versus not well-/very poorly controlled and 0.93 to identify well-/not well-controlled versus very poorly controlled asthma, as reflected by the ACT plus prior-year exacerbations standard. Cut points of 0-1, 2-4, and 5-10 best represented well-, not well-, and very poorly controlled asthma. Conclusions: AIRQ is a rigorously validated composite measure designed to identify adults and adolescents with varying degrees of asthma control. Ongoing investigations will determine test-retest reliability, responsiveness to change, and predictive ability for future exacerbations.
|Original language||English (US)|
|Journal||Journal of Allergy and Clinical Immunology: In Practice|
|State||Published - Jul 1 2020|
ASJC Scopus subject areas
- Immunology and Allergy