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Early-onset atrial fibrillation patients show reduced left ventricular ejection fraction and increased atrial fibrosis
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Early-onset atrial fibrillation patients show reduced left ventricular ejection fraction and increased atrial fibrosis
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Journal Article
Early-onset atrial fibrillation patients show reduced left ventricular ejection fraction and increased atrial fibrosis
2020
Overview
Atrial fibrillation (AF) has traditionally been considered an electrical heart disease. However, genetic studies have revealed that the structural architecture of the heart also play a significant role. We evaluated the functional and structural consequences of harboring a titin-truncating variant (TTNtv) in AF patients, using cardiac magnetic resonance (CMR). Seventeen early-onset AF cases carrying a TTNtv, were matched 1:1 with non-AF controls and a replication cohort of early-onset AF cases without TTNtv, and underwent CMR. Cardiac volumes and left atrial late gadolinium enhancement (LA LGE), as a fibrosis proxy, were measured by a blinded operator. Results: AF cases with TTNtv had significantly reduced left ventricular ejection fraction (LVEF) compared with controls (57 ± 4 vs 64 ± 5%, P < 0.001). We obtained similar findings in early-onset AF patients without TTNtv compared with controls (61 ± 4 vs 64 ± 5%, P = 0.02). We furthermore found a statistically significant increase in LA LGE when comparing early-onset AF TTNtv cases with controls. Using state-of-the-art CMR, we found that early-onset AF patients, irrespective of TTNtv carrier status, had reduced LVEF, indicating that early-onset AF might not be as benign as previously thought.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
/ Adult
/ Age
/ Atrial Fibrillation - diagnostic imaging
/ Atrial Fibrillation - genetics
/ Atrial Fibrillation - pathology
/ Atrial Fibrillation - physiopathology
/ Contrast Media - administration & dosage
/ Female
/ Fibrosis
/ Gadolinium - administration & dosage
/ Humanities and Social Sciences
/ Humans
/ Magnetic Resonance Imaging, Cine
/ Male
/ Mutation
/ Radiographic Image Interpretation, Computer-Assisted
/ Science
