Risk of cancer following presentation with new-onset atrial fibrillation using data from UK national databases.

ABSTRACT:

Aims

Atrial fibrillation (AF) and cancer are both highly prevalent conditions and are known to be associated. Our aim was to identify predictors and develop models for all cancer types, in men and women, and for the four most common cancer types in the AF population using linked primary and secondary care data from the UK.

Methods and results

We included 163 549 patients diagnosed with AF between January 1998 and May 2016, and no previous history of cancer. Following TRIPOD methodology, we developed a ridge-penalized multivariable logistic regression model to predict 1-year cancer incidence after AF diagnosis, using 70% of the data for derivation and 30% for validation. Age was associated with an increased risk across all cancer types. Socioeconomic deprivation, smoking, exc

SUBMITTER: Yoshimura H 

PROVIDER: S-EPMC12722001 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature