Ontology highlight
ABSTRACT: Background
Polypharmacy (i.e., treatment with ≥ 5 drugs) is common in patients with atrial fibrillation (AF) and has been associated with suboptimal management and worse outcomes. Little is known about how prescribed drug patterns affect management and prognosis in patients with AF.Methods
Based on data from the prospective global GLORIA-AF Registry Phase III (recruiting patients with AF and CHA2DS2-VASc score ≥ 1), we performed a latent class analysis to identify treatment patterns based on 14 drug classes including cardiovascular (CV) and non-CV drugs. We analysed associations with oral anticoagulant (OAC) use and risk of a composite primary outcome (all-cause death and major adverse cardiovascular events (MACE)) and secondary outcomes.Results
SUBMITTER: Corica B
PROVIDER: S-EPMC11753083 | biostudies-literature | 2025 Jan
REPOSITORIES: biostudies-literature