Predictors of intracranial hemorrhage in patients with atrial fibrillation treated with oral anticoagulants: Insights from the GARFIELD-AF and ORBIT-AF registries.

ABSTRACT:

Background

An unmet need exists to reliably predict the risk of intracranial hemorrhage (ICH) in patients with atrial fibrillation (AF) treated with oral anticoagulants (OACs).

Hypothesis

An externally validated model improves ICH risk stratification.

Methods

Independent factors associated with ICH were identified by Cox proportional hazard modeling, using pooled data from the GARFIELD-AF (Global Anticoagulant Registry in the FIELD-Atrial Fibrillation) and ORBIT-AF (Outcomes Registry for Better Informed Treatment of Atrial Fibrillation) registries. A predictive model was developed and validated by bootstrap sampling and by independent data from the Danish National Patient Register.

Results

In the combined training data set, 284 of 53 878 anticoagulated patients

SUBMITTER: Lim TW 

PROVIDER: S-EPMC10642328 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature