Multivariate time series approaches to extract predictive asthma biomarkers from prospectively patient-collected diary data: a systematic review.

ABSTRACT: Longitudinal data are common in asthma studies, to assess asthma progression in patients and identify predictors of future outcomes, including asthma exacerbations and asthma control. Different methods can quantify temporal behaviour in prospective patient-collected diary variables to obtain predictive biomarkers of asthma outcomes. The aims of this systematic review were to evaluate methods for extracting biomarkers from longitudinally collected diary data in asthma and investigate associations between them and patient-reported outcomes (PROs) of patients with asthma. Systematic review and narrative synthesis. MEDLINE, EMBASE, CINAHL and the Cochrane Library were searched for studies published between January 2000 and July 2023. Included studies generated biomarkers from prospective patie

SUBMITTER: Clemeno FAA 

PROVIDER: S-EPMC11340722 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature