Predicting Silent Atrial Fibrillation in the Elderly: A Report from the NOMED-AF Cross-Sectional Study.

ABSTRACT:

Background

Silent atrial fibrillation (SAF) is common and is associated with poor outcomes.

Aims

to study the risk factors for AF and SAF in the elderly (≥65 years) general population and to develop a risk stratification model for predicting SAF.

Methods

Continuous ECG monitoring was performed for up to 30 days using a vest-based system in a cohort from NOMED-AF, a cross-sectional study based on a nationwide population sample. The independent risk factors for AF and SAF were determined using multiple logistic regression. ROC analysis was applied to validate the developed risk stratification score.

Results

From the total cohort of 3014 subjects, AF was diagnosed in 680 individuals (mean age, 77.5 ± 7.9; 50.1% men) with AF, and, of these, 41% had SAF. Independent

SUBMITTER: Mitrega K 

PROVIDER: S-EPMC8199269 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature