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We analysed factors associated with new-onset atrial fibrillation in patients with heart failure using linked real-world UK data from primary and secondary care, along with findings from genome-wide association studies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and results<\/jats:title>\n                    <jats:p>Among 163\u2009174 participants with a diagnosis of HF (January 1998 to May 2016) from Clinical Practice Research Datalink (CPRD) and Hospital Episodes Statistics (HES), 111\u2009595 participants had no previous history of AF (mean age 76.3 \u00b1 12.6; 50.3% women; 95.8% white ethnicity). Multivariate weighted Cox regression was used to identify predictors for new-onset AF. Linkage disequilibrium score regression was performed to assess the strength of the genetic correlation between AF and identified predictors. During follow-up (median 1.33 years, IQR 0.15\u20134.18), the incidence rate for AF was 2.8% at 30 days, 9.9% at 1 year, 18.0% at 3 years, and 24.9% at 5 years after HF diagnosis after HF diagnosis. Female sex (HR = 0.79, 95% CI 0.71\u20130.88), age (HR = 1.04, 95% CI 1.04\u20131.04), white ethnicity (HR = 1.30, 95% CI 1.06\u20131.59), social deprivation (HR = 1.20, 95% CI 1.01\u20131.42), BMI (HR = 1.01, 95% CI 1.00\u20131.02), gentle physical activity (HR = 0.84, 95% CI 0.72\u20130.97), hypertension (HR = 1.15, 95% CI 1.03\u20131.29), chronic kidney disease (HR = 1.15, 95% CI 1.06\u20131.24), chronic obstructive pulmonary disease (COPD) (HR = 1.10, 95% CI 1.01\u20131.19) and valvular heart disease (HR = 1.17, 95% CI 1.06\u20131.29) were associated with new-onset AF. Angiotensin-converting enzyme inhibitors were associated with lower AF incidence (HR = 0.88, 95% CI 0.80\u20130.96), and the magnitude of effect was dependent on the duration of administration. Linkage disequilibrium score regression showed important genetic correlation between AF and HF (rg = 0.57, P = 2.30 \u00d7 10-59) and reduced, but still significant, overlap between AF and BMI (rg = 0.19, P = 6.18 \u00d7 10-20), systolic and diastolic blood pressure, smoking, and COPD (P values ranging from &amp;lt;10-4 to &amp;lt;0.05).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Incident AF in the HF population is high, with good genetic correlation for the two conditions. Identified predictors for new-onset AF might be helpful to improve management of HF patients and AF prevention.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ehf2.15264","type":"journal-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T22:48:16Z","timestamp":1741819696000},"page":"2507-2517","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Atrial Fibrillation Development in the Heart Failure Population from Nationwide British Linked Electronic Health Records"],"prefix":"10.1093","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-1991-5001","authenticated-orcid":false,"given":"Hiroyuki","family":"Yoshimura","sequence":"first","affiliation":[{"name":"Institute of Health Informatics Research, University College London , London 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Floriaan","family":"Schmidt","sequence":"additional","affiliation":[{"name":"Institute of Cardiovascular Science, University College London , London ,","place":["UK"]},{"name":"Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht , Utrecht ,","place":["The Netherlands"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gregory Y.H.","family":"Lip","sequence":"additional","affiliation":[{"name":"Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital , Liverpool ,","place":["UK"]},{"name":"Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University , Aalborg ,","place":["Denmark"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Providencia","sequence":"additional","affiliation":[{"name":"Institute of Health Informatics Research, University College London , London 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