Applying UK real-world primary care data to predict asthma attacks in 3776 well-characterised children: a retrospective cohort study.

ABSTRACT: Current understanding of risk factors for asthma attacks in children is based on studies of small but well-characterised populations or pharmaco-epidemiology studies of large but poorly characterised populations. We describe an observational study of factors linked to future asthma attacks in large number of well-characterised children. From two UK primary care databases (Clinical Practice Research Datalink and Optimum Patient Care research Database), a cohort of children was identified with asthma aged 5-12 years and where data were available for ≥2 consecutive years. In the "baseline" year, predictors included treatment step, number of attacks, blood eosinophil count, peak flow and obesity. In the "outcome" year the number of attacks was determined and related to predictors. There were 3

SUBMITTER: Turner SW 

PROVIDER: S-EPMC6056517 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature