Background Asthma phenotypes are currently not amenable to primary prevention or early
intervention because their natural history cannot be reliably predicted. Clinicians remain
reliant on poorly predictive asthma outcome tools because of a lack of better alternatives.
Objective We sought to develop a quantitative personalized tool to predict asthma
development in young children. Methods Data from the Cincinnati Childhood Allergy and Air
Pollution Study (n= 762) birth cohort were used to identify factors that predicted asthma …