Phenotypic characterisation of people at risk of atrial fibrillation: Protocol for the FIND-AF longitudinal cohort study.

IF 8.4 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS European journal of preventive cardiology Pub Date : 2024-09-25 DOI:10.1093/eurjpc/zwae303
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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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.

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心房颤动高危人群的表型特征:FIND-AF 纵向队列研究协议。
目的:心房颤动新型检测的未来创新(FIND-AF)纵向队列研究是一项多中心前瞻性队列研究,研究对象是已发现有心房颤动(AF)风险的患者。FIND-AF 纵向队列研究的目的是为这些患者提供多模式的表型特征:将在 2023 年 10 月至 2024 年 11 月间招募 1955 名通过 FIND-AF 算法从初级保健电子健康(EHR)数据中识别出有房颤风险、年龄在 30 岁及以上且符合口服抗凝治疗条件的参与者,他们将接受基于家庭的间歇性心电图监测。随后,约 500 名未确诊房颤的参与者将接受横断面表型特征描述,包括体格检查、症状评估、血清血液生物标志物、超声心动图和非应激心脏磁共振成像。通过与电子病历数据的连接,将确定心肾代谢肺功能结果的纵向信息。该研究由英国心脏基金会(CC/22/250026)资助。该研究已获得伦理批准(西北-大曼彻斯特南部研究伦理委员会编号 23/NW/0180)。研究结果将在相关会议上公布,并根据资助方的开放获取政策在同行评审期刊上发表:FIND-AF 多中心前瞻性纵向队列研究旨在:(i) 为合并症对房颤发生的影响提供证据;(ii) 发现预防房颤的可行目标;(iii) 作为队列随机临床试验的平台,研究如何加强房颤的检测和预防。
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来源期刊
European journal of preventive cardiology
European journal of preventive cardiology CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
12.50
自引率
12.00%
发文量
601
审稿时长
3-8 weeks
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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