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Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Right and Left Atrial Dysfunction as Independent Cardiovascular Risk Factors: A UK Biobank Study
Vidhushei Yogeswaran1,2, Jennifer A Brody1,3, Colleen M Sitlani1,3
1Cardiovascular Health Research Unit (V.Y., J.A.B., C.M.S., K.L.W., J.C.B., T.Y., J.S.F.), University of Washington, Seattle.
Insights
Atrial cardiopathy, affecting both left and right atria, independently increases risks for atrial fibrillation (AF), stroke, and heart failure. Novel genetic links and causal effects highlight atrial structure’s role in cardiovascular disease.
Area of Science:
- Cardiology
- Genetics
- Biomarkers
Background:
- Atrial cardiopathy is a known precursor to atrial fibrillation (AF) and a risk factor for cardiovascular events.
- Previous research has been limited by sample size and has often excluded the right atrium.
- Understanding biatrial structure and function is crucial for predicting cardiovascular outcomes.
Purpose of the Study:
- To assess the association of left and right atrial structure and function with new-onset AF, ischemic stroke, heart failure, and dementia.
- To identify novel genetic associations with atrial measures.
- To investigate the causal relationships between atrial measures and cardiovascular outcomes using Mendelian randomization.
Main Methods:
- Utilized cardiac magnetic resonance imaging and deep learning segmentation in 51,693 UK Biobank participants without prevalent AF.
- Assessed biatrial volumes and emptying fraction.
- Conducted genome-wide association study and Mendelian randomization analyses.
Main Results:
- Both left and right atrial measures were independently associated with increased risk of new-onset AF, ischemic stroke, and heart failure.
- Left atrial minimal volume was also associated with dementia risk.
- Identified 51 genetic associations with atrial measures, including 27 novel loci, with distinct genetic correlations to cardiometabolic factors and cardiovascular phenotypes.
Conclusions:
- This study, the largest to date on biatrial structure, confirms independent associations of left and right atrial cardiopathies with adverse cardiovascular events.
- Novel genetic loci and unique correlations provide insights into chamber-specific remodeling and cardiovascular disease pathways.
- Atrial measures may be causal determinants of cardiovascular complications previously attributed solely to AF.
Background:
Atrial cardiopathy often precedes atrial fibrillation (AF) and has emerged as an independent risk factor for cardiovascular outcomes. However, previous studies have been limited in size and have overlooked the right atrium.
Methods:
In 51 693 UK Biobank participants without prevalent AF, we assessed biatrial volumes and emptying fraction from cardiac magnetic resonance imaging using deep learning segmentation. We evaluated associations with new-onset AF, ischemic stroke, heart failure, and dementia, conducted a genome-wide association study, and evaluated causal associations using Mendelian randomization.
Results:
Among 51 693 adults, the mean (SD) age was 65 (7.7) years, and 24 584 (48%) were male. During the 4-year follow-up, 964 (1.9%) developed AF, 266 (0.5%) developed ischemic stroke, 365 (0.7%) developed heart failure, and 72 (0.1%) developed dementia. After adjustment for clinical risk factors, both left and right atrial measures were associated with new-onset AF (left atrial minimal volume; hazard ratio, 1.55 [95% CI, 1.48-1.62]), ischemic stroke, and heart failure, with stronger associations in women. Left atrial minimal volume was also associated with dementia. Our genome-wide association study identified 51 (27 novel) genetic associations with atrial measures, many of which do not overlap with established AF loci. Genetic correlations revealed that each atrium had varying correlations with cardiometabolic risk factors, and Mendelian randomization demonstrated that left atrial measures had direct causal effects on AF and stroke risk. However, the stroke associations were attenuated after accounting for AF variants.
Conclusions:
In this largest assessment of biatrial structure and function to date, both left and right atrial cardiopathies were independently associated with increased risk of adverse cardiovascular events. We identified several novel genetic loci for atrial traits and observed unique genetic correlations between left and right atrial traits and cardiovascular phenotypes, providing insight into chamber-specific remodeling. Several of these measures are likely to be causal determinants of cardiovascular complications previously attributed to AF.
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