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.
Abstract

Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
11.9K
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
142
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
13.2K