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Predicting atrial fibrillation – can atrial parameters generated by artificial intelligence in cardiac magnetic resonance be the key in dilated cardiomyopathy?
Session:
SESSÃO DE POSTERS 18 - MIOCARDIOPATIA DILATADA
Speaker:
Marta Paralta De Figueiredo
Congress:
CPC 2025
Topic:
F. Valvular, Myocardial, Pericardial, Pulmonary, Congenital Heart Disease
Theme:
17. Myocardial Disease
Subtheme:
17.5 Myocardial Disease – Prevention
Session Type:
Cartazes
FP Number:
---
Authors:
Marta Paralta de Figueiredo; Rafael Viana; Antonio Almeida; Rita Louro; Miguel Carias; Diogo Bras; Bruno Piçarra; Manuel Trinca
Abstract
<p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Introduction: Atrial fibrillation (AF) is frequent in dilated cardiomyopathy (DCM) with a prevalence reported as high as 40% in some cohorts, far superior than the 2% in the general population. It carries a high-risk of stroke as well as increased mortality. Prompt diagnosis and management are essential to minimizing AF-related adverse outcomes in patients with cardiomyopathies.</span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Purpose: Our aim is to uncover if there are AI-derived CMR parameters differences in DCM that could be associated with AF.</span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Methods: We retrospectively analyzed a population of patients submitted to CMR and divided them in two groups – those with DCM and those without structural disease. We documented demographic factors, left (LAEF) and right (RAEF) atrial ejection fraction, atrial volumes and the longitudinal LA shortening obtained through AI in CMR. We then performed univariate analysis to establish the relationship between variables.</span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Results: Out of 103 patients, 22,3% (n=23) had no structural disease that we considered the control group and 39.8% (n=41) had DCM. 59,4% were male, with mean age of 53±17 years, with no differences between groups. Patients with DCM had twice higher prevalence of AF (4% vs 2%). When comparing groups, these patients had comparable left (53,7±20,5mL) and right atrial volumes (30,3±13,6mL) between them. However, patients with DCM had significantly lower LAEF (47% vs 65%, p=<0,001), lower RAEF (46% vs 52%, p=0,04), lower LA longitudinal shortening (13 vs 40, p<0,001) and lower RA longitudinal shortening (22 vs 40, p<0,001). </span></span></p> <p><span style="font-size:11.0pt"><span style="font-family:"Calibri",sans-serif">Conclusion: Patients with DCM have a much higher risk of AF than the general population. Atrial ejection fraction and atrial longitudinal shortening generated by AI in CMR could be earlier predictors of AF when comparing with atrial volumes in patients with DCM. These parameters could help earlier diagnosis of AF and improve outcomes.</span></span></p>
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