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Published on: August 7, 2017
Age-dependent interaction between atopy and eosinophils in asthma cases: results from NHANES 2005-2006
S J Arbes1, A Calatroni, H E Mitchell
1Rho Federal Systems Division Inc., Chapel Hill, NC 27517, USA. sam_arbes@rhoworld.com
Background:
Atopy is an established risk factor for asthma, and an elevated eosinophil level is a hallmark of atopic and non-atopic asthma. Whether atopy and eosinophils act independently or interact to influence asthma has clinical and public health implications.
Objective:
To investigate the relationship between atopy and eosinophils in asthma.
Methods:
Data on current asthma, atopy (IgE positive to ≥ 1 allergen), and blood eosinophil percent (dichotomized at the median) were obtained for persons aged ≥ 6 years from the National Health and Nutrition Examination Survey 2005-2006. Interaction on an additive scale was evaluated by estimating the prevalences of asthma for combinations of atopy (yes or no) and eosinophil percent (high or low) and calculating the excess prevalence due to interaction.
Results:
For all ages combined, the adjusted prevalences of asthma were 4.6%, 7.6%, 6.9% and 17.2% for persons with neither factor, atopy alone, a high eosinophil percent alone and both factors respectively. The excess prevalence of asthma due to interaction was 7.2%, indicating synergism. The excess prevalence was greatest in children aged 6-17 years (15.3%), and it decreased with each older age category until it was absent in adults aged ≥ 55 years (-0.2%). In children, 94% of asthma cases attributable to the 2 factors were attributable to the interaction, whereas in the oldest adults, no cases were attributable to the interaction.
Conclusions And Clinical Relevance:
Interaction between atopy and an elevated eosinophil level in asthma cases was very strong in children but absent in the oldest adults, which suggests different mechanistic pathways for these factors by age and supports the notion that asthma is a heterogeneous disease. In addition, the age-dependent interaction between the factors has potential implications for the selection of asthma patients for treatments that would target either IgE or a high eosinophil level.
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