Environmental and clinical data utility in pediatric asthma exacerbation risk prediction models.

ABSTRACT:

Background

Asthma exacerbations are triggered by a variety of clinical and environmental factors, but their relative impacts on exacerbation risk are unclear. There is a critical need to develop methods to identify children at high-risk for future exacerbation to allow targeted prevention measures. We sought to evaluate the utility of models using spatiotemporally resolved climatic data and individual electronic health records (EHR) in predicting pediatric asthma exacerbations.

Methods

We extracted retrospective EHR data for 5982 children with asthma who had an encounter within the Duke University Health System between January 1, 2014 and December 31, 2019. EHR data were linked to spatially resolved environmental data, and temporally resolved climate, pollution, allergen, an

SUBMITTER: Hurst JH 

PROVIDER: S-EPMC9034565 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature