Longitudinal hierarchical Bayesian models of covariate effects on airway and alveolar nitric oxide.

ABSTRACT: Biomarkers such as exhaled nitric oxide (FeNO), a marker of airway inflammation, have applications in the study of chronic respiratory disease where longitudinal studies of within-participant changes in the biomarker are particularly relevant. A cutting-edge approach to assessing FeNO, called multiple flow FeNO, repeatedly assesses FeNO across a range of expiratory flow rates at a single visit and combines these data with a deterministic model of lower respiratory tract NO to estimate parameters quantifying airway wall and alveolar NO sources. Previous methodological work for multiple flow FeNO has focused on methods for data from a single participant or from cross-sectional studies. Performance of existing ad hoc two-stage methods for longitudinal multiple flow FeNO in cohort or panel stu

SUBMITTER: Weng J 

PROVIDER: S-EPMC10067946 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature