Ali Wahab, Ramesh Nadarajah, Catherine Reynolds, Sheena Bennett, Edisemi Ambakederemo, Mohammad Harris, Tanina Younsi, Tobin Joesph, Keerthenan Raveendera, Adam Smith, Asad Bhatty, Gregory Y H Lip, Peter P Swoboda, Jianhua Wu, Chris P Gale
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引用次数: 0
Abstract
Aims: The Future Innovations in Novel Detection of Atrial Fibrillation (FIND-AF) longitudinal cohort study is a multi-centre prospective cohort study of patients identified at risk of atrial fibrillation (AF). The aim of the FIND-AF longitudinal cohort study is to provide multi-modal phenotypic characterisation of these patients.
Methods and results: 1955 participants identified as at risk of AF by the FIND-AF algorithm from primary care electronic health (EHR) data, aged 30 years and above and eligible for oral anticoagulation, will be be recruited between October 2023 and November 2024 to receive home-based intermittent ECG monitoring. About 500 participants without diagnosed AF will then undergo cross-sectional phenotypic characterisation including physical examination, symptoms assessment, serum blood biomarkers and echocardiography, and non-stress cardiac magnetic resonance imaging. Longitudinal information about cardio-renal-metabolic-pulmonary outcomes will be ascertained from linkages to EHR data. The study is funded by the British Heart Foundation (CC/22/250026). The study has ethical approval (North West - Greater Manchester South Research Ethics Committee reference 23/NW/0180). Findings will be announced at relevant conferences and published in peer-reviewed journals in line with the Funder's open access policy.
Conclusions: The FIND-AF multi-centre prospective longitudinal cohort study aims to (i) provide evidence for the impact of comorbidities on AF genesis (ii) uncover actionable targets to prevent AF, and (iii) act as a platform for cohort randomised clinical trials that investigate enhanced detection and prevention of AF.
期刊介绍：
European Journal of Preventive Cardiology (EJPC) is an official journal of the European Society of Cardiology (ESC) and the European Association of Preventive Cardiology (EAPC). The journal covers a wide range of scientific, clinical, and public health disciplines related to cardiovascular disease prevention, risk factor management, cardiovascular rehabilitation, population science and public health, and exercise physiology. The categories covered by the journal include classical risk factors and treatment, lifestyle risk factors, non-modifiable cardiovascular risk factors, cardiovascular conditions, concomitant pathological conditions, sport cardiology, diagnostic tests, care settings, epidemiology, pharmacology and pharmacotherapy, machine learning, and artificial intelligence.
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