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Multicenter Study
. 2007 Aug;120(2):396-402.
doi: 10.1016/j.jaci.2007.04.040. Epub 2007 Jun 11.

Asthma control, severity, and quality of life: quantifying the effect of uncontrolled disease

Affiliations
Multicenter Study

Asthma control, severity, and quality of life: quantifying the effect of uncontrolled disease

Hubert Chen et al. J Allergy Clin Immunol. 2007 Aug.

Abstract

Background: Current practice guidelines emphasize the importance of attaining asthma control. We sought to quantify the degree of quality-of-life impairment associated with different levels of asthma control.

Methods: We analyzed prospective data for 987 adults in The Epidemiology and Natural History of Asthma: Outcomes and Treatment Regimens (TENOR) study. Asthma control was assessed by using the Asthma Therapy Assessment Questionnaire, a validated index of control problems ranging from 0 to 4. Disease-specific quality of life and preference-based health utilities were assessed after 12 months of follow-up by using the Mini-Asthma Quality of Life Questionnaire (AQLQ) and EuroQoL 5-D (EQ-5D). We used multiple linear regression to model the relationship between asthma control and the AQLQ and EQ-5D while controlling for severity classification and lung function.

Results: Asthma control varied widely, even within a population with predominantly moderate-to-severe disease. An inverse relationship was observed between the number of asthma control problems and quality of life. Specifically, poorer control at baseline predicted worse AQLQ and EQ-5D scores at follow-up. Asthma control remained an independent predictor of disease-specific quality of life and general health in multivariate models and was a better longitudinal predictor of health status than asthma severity at baseline.

Conclusion: Poor asthma control is associated with a substantial degree of impairment and predicts quality of life at 12 months, even after taking baseline asthma severity into account.

Clinical implications: Self-assessed measures of asthma control might help to identify and manage those patients at greatest risk for future health impairment.

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