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A publication of the Cardiovascular Imaging Department of the Brazilian Society of Cardiology
Uma publicação do Departamento de Imagem Cardiovascular da Sociedade Brasileira de Cardiologia
DOI: 10.36660/abcimg.20250086i
Abstract Background Identifying atrial etiology in patients with mitral regurgitation remains challenging because the diagnosis is often established by exclusion. The use of a multivariable model may enhance diagnostic accuracy in the context of atrial functional mitral regurgitation. Objective To develop and validate a multivariable logistic regression model based on clinical and echocardiographic characteristics to predict atrial functional mitral regurgitation. Methods This cross-sectional study included patients with significant mitral regurgitation diagnosed by transesophageal echocardiography. The dataset was randomly divided into […]
Keywords: Echocardiography; Logistic Models; Mitral Valve Insufficiency; Statistical Models
DOI: 10.36660/abcimg.20260008i
Abstract Background Identifying atrial etiology in patients with mitral regurgitation remains challenging because the diagnosis is often established by exclusion. The use of a multivariable model may enhance diagnostic accuracy in the context of atrial functional mitral regurgitation. Objective To develop and validate a multivariable logistic regression model based on clinical and echocardiographic characteristics to predict atrial functional mitral regurgitation. Methods This cross-sectional study included patients with significant mitral regurgitation diagnosed by transesophageal echocardiography. The dataset was randomly divided into […]
Keywords: Atrial fibrillation; Echocardiography; Mitral Valve Insufficiency