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Atrial fibrillation predictors generated by artificial intelligence in cardiac magnetic resonance in patients with hypertrophic cardiomyopathy
Session:
SESSÃO DE POSTERS 57 - MIOCARDIOPATIA HIPERTRÓFICA
Speaker:
Rafael Viana
Congress:
CPC 2025
Topic:
F. Valvular, Myocardial, Pericardial, Pulmonary, Congenital Heart Disease
Theme:
17. Myocardial Disease
Subtheme:
17.7 Myocardial Disease - Other
Session Type:
Cartazes
FP Number:
---
Authors:
Rafael Viana; Marta Paralta de Figueiredo; 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: Patients with hypertrophic cardiomyopathy (HCM) have a much higher prevalence of atrial fibrillation (AF) than the general population. Even though it sometimes causes hemodynamic changes which are poorly tolerated, it can be subclinical. So earlier diagnosis and management of AF are vital to minimizing adverse outcomes. The generation of automatic parameters in CMR can revolutionize the way cardiac imaging data is analyzed, offering greater efficiency, accuracy, and potential for early detection and personalized treatment strategies.</span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Purpose: Our study aimed to investigate if there were AI-derived CMR parameters associated with development of AF in individuals with HCM.</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, selected those with hypertrophic cardiomyopathy (HCM) and divided them in two groups – those with no AF and those who developed <em>de novo</em> AF after CMR. We documented demographic factors, left atrial (LAEF) and ventricular ejection fraction (LVEF), ventricular and atrial volumes and the longitudinal LA and LV shortening obtained through AI in CMR for both groups. We then performed univariate analysis to establish the relationship between variables and multivariate analysis to identify independent predictors.</span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Results: Out of 103 patients, 37,9% (n=39) had HCM. When comparing groups, 59% were male, with mean age of 61±13 years and median LVEF of 63% (IQR 59,5-66,5), with no differences between groups. These patients had similar ventricular systolic and diastolic volumes and longitudinal ventricular shortening, as well as left and right atrial longitudinal shortening. However, patients who developed AF had significantly lower biplane LAEF (34,1% vs 50,9%, p=0,007) and higher indexed diastolic biplane LA volume (68,3mL vs 43,1mL, p= 0,047). In multivariate analysis, nevertheless, none proved to be independently significant.</span></span></p> <p><span style="font-size:11.0pt"><span style="font-family:"Calibri",sans-serif">Conclusion: In patients with MCH, there is a positive association between lower LAEF and higher indexed diastolic biplane LA volume and the development of <em>de novo</em> AF. Although these were not independently associated, further studies with a larger population are required to establish possible predictors.</span></span></p>
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