A Pediatric Asthma Risk Score to better predict asthma development in young children.

ABSTRACT: 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 development. The Pediatric Asthma Risk Score (PARS) was constructed by integrating demographic and clinical data. The sensitivity and specificity of PARS were compared with those of the Asthma Predictive Index (API) and replicated in the Isle of Wight birth cohort. R

SUBMITTER: Biagini Myers JM 

PROVIDER: S-EPMC6504569 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature