Abstract

Predictive models have rarely been used in allergy research and practice. However, they might support physicians in advising patients. The aim of this study was to create predictive models for the incidence and persistence of allergic rhinitis (AR) during adolescence. A prospective population-based cohort study was conducted starting at age 9 to 11 years. Potential risk factors for atopic diseases obtained at baseline in 2810 subjects were used to create predictive logistic regression models for the incidence and persistence of physician-diagnosed AR with current symptoms at age 15 to 18 years. Positive skin prick test responses to outdoor allergens at baseline were the most important determinant for both the incidence and persistence of AR until follow-up. For the incidence of AR, positive skin prick test responses to indoor allergens, parental history of asthma, female sex, and not having been breast-fed exclusively for 2 or more months were additional statistically significant independent risk factors. Depending on the number of risk factors present, the probability of the incidence of AR increased from 2% (no risk factors present) to 72% (full model; 95% CI, 58% to 85%). The probability of persistence of AR ranged from 33% (no risk factors present) to 83% (full model; 95% CI, 70% to 97%). The course of AR over puberty can be predicted using risk factors that are easy to determine in childhood. Sensitization to outdoor allergens seems to play a much greater role for disease development than sensitization to indoor allergens. This might help pediatricians in advising patients.

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