{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T03:47:34Z","timestamp":1793159254015,"version":"4.5.0"},"reference-count":29,"publisher":"BMJ","issue":"2","license":[{"start":{"date-parts":[[2023,7,10]],"date-time":"2023-07-10T00:00:00Z","timestamp":1688947200000},"content-version":"unspecified","delay-in-days":9,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000274","name":"British Heart Foundation","doi-asserted-by":"publisher","award":["FS\/20\/12\/34789"],"award-info":[{"award-number":["FS\/20\/12\/34789"]}],"id":[{"id":"10.13039\/501100000274","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["Open Heart"],"accepted":{"date-parts":[[2023,6,23]]},"published-print":{"date-parts":[[2023,7]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Risk-guided atrial fibrillation (AF) screening may be an opportunity to prevent adverse events in addition to stroke. We compared events rates for new diagnoses of cardio-renal-metabolic diseases and death in individuals identified at higher versus lower-predicted AF risk.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>From the UK Clinical Practice Research Datalink-GOLD dataset, 2 January 1998\u201330 November 2018, we identified individuals aged \u226530 years without known AF. The risk of AF was estimated using the FIND-AF (Future Innovations in Novel Detection of Atrial Fibrillation) risk score. We calculated cumulative incidence rates and fit Fine and Gray\u2019s models at 1, 5 and 10 years for nine diseases and death adjusting for competing risks.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Of 416 228 individuals in the cohort, 82 942 were identified as higher risk for AF. Higher-predicted risk, compared with lower-predicted risk, was associated with incident chronic kidney disease (cumulative incidence per 1000 persons at 10 years 245.2; HR 6.85, 95%\u2009CI 6.70 to 7.00; median time to event 5.44 years), heart failure (124.7; 12.54, 12.08 to 13.01; 4.06), diabetes mellitus (123.3; 2.05, 2.00 to 2.10; 3.45), stroke\/transient ischaemic attack (118.9; 8.07, 7.80 to 8.34; 4.27), myocardial infarction (69.6; 5.02, 4.82 to 5.22; 4.32), peripheral vascular disease (44.6; 6.62, 6.28 to 6.98; 4.28), valvular heart disease (37.8; 6.49, 6.14 to 6.85; 4.54), aortic stenosis (18.7; 9.98, 9.16 to 10.87; 4.41) and death from any cause (273.9; 10.45, 10.23 to 10.68; 4.75). The higher-risk group constituted 74% of deaths from cardiovascular or cerebrovascular causes (8582 of 11 676).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Individuals identified for risk-guided AF screening are at risk of new diseases across the cardio-renal-metabolic spectrum and death, and may benefit from interventions beyond ECG monitoring.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/openhrt-2023-002357","type":"journal-article","created":{"date-parts":[[2023,7,14]],"date-time":"2023-07-14T01:21:00Z","timestamp":1689297660000},"page":"e002357","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":6,"title":["Incident cardiovascular, renal, metabolic diseases and death in individuals identified for risk-guided atrial fibrillation screening: a nationwide cohort study"],"prefix":"10.1136","volume":"10","author":[{"given":"Jianhua","family":"Wu","sequence":"first","affiliation":[{"name":"School of Dentistry, University of Leeds, Leeds, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9895-9356","authenticated-orcid":false,"given":"Ramesh","family":"Nadarajah","sequence":"additional","affiliation":[{"name":"Leeds Institute of Data Analytics, University of Leeds, Leeds, UK"},{"name":"Department of Cardiology, Leeds General Infirmary, Leeds, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3627-5626","authenticated-orcid":false,"given":"Yoko M","family":"Nakao","sequence":"additional","affiliation":[{"name":"Leeds Institute of Data Analytics, University of Leeds, Leeds, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9034-3976","authenticated-orcid":false,"given":"Kazuhiro","family":"Nakao","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Hogg","sequence":"additional","affiliation":[{"name":"School of Computing, University of Leeds, Leeds, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keerthenan","family":"Raveendra","sequence":"additional","affiliation":[{"name":"Medical School, University of Leeds, Leeds, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ronen","family":"Arbel","sequence":"additional","affiliation":[{"name":"Sapir College, Hof Ashkelon, Israel"},{"name":"Community Medical Services Division, Clalit Health Services, Tel Aviv, 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