The prevalence and predictors of atrial fibrillation (AF) in the UK Biobank

University of Oxford

Lay summary

1a: To evaluate an algorithm for streamlined detection of rhythm disturbance
in resting and exercise one-lead ECG from UK Biobank.

To assess the prevalence and predictors of atrial fibrillation (AF) in the UK
middle age population and the impact of this condition on health outcomes in
men and women.

To evaluate the determinants of the heart rate response to exercise and post-exercise
recovery, and the impact of these variables on health outcomes in
men and women.

1b: The results of this project will generate a gender-specific score for the
identification of individuals at a high risk of developing AF and AF-related
complications, validate electrocardiographic predictors (such as the abnormal
heart rate response to exercise and recovery)of mortality & morbidity and
identify the determinants of these parameters in men and women in UK
Biobank.

1c: We will analyse resting and exercise ECG recordings from the subset of UK
Biobank participants who were recruited to this enrichment protocol. ECG
parameters such as resting heart rate, exercise heart rate dynamic changes.