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Phenotypic characterization of people at risk of atrial fibrillation: protocol for the FIND-AF longitudinal cohort
Ali Wahab1,2,3, Ramesh Nadarajah1,2,3, Catherine Reynolds1,2
1Leeds Institute of Data Analytics, Clarendon Way, University of Leeds, Leeds LS2 9DA, UK.
Insights
The FIND-AF study will characterize patients at risk of atrial fibrillation (AF) using multi-modal phenotyping and home monitoring. This research aims to understand comorbidities
Area of Science:
- Cardiology
- Epidemiology
- Biomarkers
Background:
- Atrial fibrillation (AF) poses a significant health risk, necessitating improved detection and prevention strategies.
- Identifying individuals at risk of AF early is crucial for timely intervention and management.
- The Future Innovations in Novel Detection of Atrial Fibrillation (FIND-AF) study addresses this need through prospective cohort research.
Purpose of the Study:
- To conduct a multi-modal phenotypic characterization of patients identified as at risk of atrial fibrillation (AF).
- To investigate the impact of comorbidities on AF genesis.
- To uncover actionable targets for AF prevention and establish a platform for clinical trials.
Main Methods:
- Recruitment of 1955 participants aged 30+ identified as at risk of AF via the FIND-AF algorithm from primary care EHR data.
- Home-based intermittent electrocardiogram monitoring for all participants.
- Cross-sectional phenotypic characterization of ~500 participants without diagnosed AF, including physical examination, symptom assessment, blood biomarkers, echocardiography, and cardiac MRI.
Main Results:
- Longitudinal data on cardio-renal-metabolic-pulmonary outcomes will be collected through EHR linkages.
- Detailed phenotypic data will be gathered from a subset of participants.
- The study is funded by the British Heart Foundation and has ethical approval.
Conclusions:
- The FIND-AF study will provide evidence on the influence of comorbidities in AF development.
- It aims to identify novel targets for AF prevention.
- The study will serve as a foundation for future randomized clinical trials focused on AF detection and prevention.
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 characterization of these patients.
Methods And Results:
A total of 1955 participants identified as at risk of AF by the FIND-AF algorithm from primary care electronic health record (EHR) data, aged 30 years and above and eligible for oral anticoagulation, will be recruited between October 2023 and November 2024 to receive home-based intermittent electrocardiogram monitoring. About 500 participants without diagnosed AF will then undergo cross-sectional phenotypic characterization 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.
Conclusion:
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 randomized clinical trials that investigate enhanced detection and prevention of AF.
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