The differentiation of left ventricular pseudoaneurysm from true aneurysm is sometimes difficult. Given the propensity for pseudoaneurysms to rupture leading to cardiac tamponade, shock, and death, compared with a more benign natural history for true aneurysms, accurate diagnosis of these conditions is clinically important. Clinical symptoms, physical examination findings, electrocardiograms, and routine x-rays are not sensitive or specific for diagnosing left ventricular aneurysms nor for distinguishing true from pseudoaneurysm once detected. Our aim is to present a case report demonstrating these difficulties and to review the use of various cardiac imaging modalities in differentiating between these 2 entities.
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http://dx.doi.org/10.1097/01.crd.0000233756.66532.45 | DOI Listing |
Aten Primaria
January 2025
Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, España; Department of Pharmacology, Therapeutics and Toxicology, Universitat Autònoma de Barcelona, Bellaterra, Cerdanyola del Vallès, Barcelona, España; Institut Català de la Salut, Barcelona, España.
Objective: To characterise patients with heart failure (HF) in Primary Health Care (PHC) and describe their socio-demographic and clinical characteristics and pharmacological treatment.
Design: Descriptive cohort study. SITE: Information System for the Development of Research in Primary Care (SIDIAP), which captures information from the electronic health records of PHC of the Catalan Institute of Health (approximately 80% of the Catalan population).
PLoS One
January 2025
National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Introduction: Haemodynamic atrioventricular delay (AVD) optimisation has primarily focussed on signals that are not easy to acquire from a pacing system itself, such as invasive left ventricular catheterisation or arterial blood pressure (ABP). In this study, standard clinical central venous pressure (CVP) signals are tested as a potential alternative.
Methods: Sixteen patients with a temporary pacemaker after cardiac surgery were studied.
PLoS One
January 2025
Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania, Brazil.
This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolutional neural network, to improve the identification of left ventricular walls in images of myocardial perfusion scintigraphy, with the objective of improving the diagnosis and treatment of coronary artery disease. The methodology included data collection in a clinical environment, followed by data preparation and analysis using the 3D Slicer Platform for manual segmentation, and subsequently, the application of artificial intelligence models for automated segmentation, focusing on the efficiency of identifying the walls of the left ventricular. A total of 83 clinical routine exams were collected, each exam containing 50 slices, which is 4,150 images.
View Article and Find Full Text PDFCirc Heart Fail
January 2025
First Faculty of Medicine, Biotechnology and Biomedicine Center of the Academy of Sciences and Charles University (BIOCEV), Charles University, Prague, Czech Republic. (M.B., D.L., O.V., J.P.).
Background: Right ventricular dysfunction (RVD) is common in patients with heart failure with reduced ejection fraction, and it is associated with poor prognosis. However, no biomarker reflecting RVD is available for routine clinical use.
Methods: Proteomic analysis of myocardium from the left ventricle and right ventricle (RV) of patients with heart failure with reduced ejection fraction with (n=10) and without RVD (n=10) who underwent heart transplantation was performed.
Echocardiography
January 2025
Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Objectives: Supra-normal left ventricular ejection fraction (snLVEF) represents a heterogeneous group with distinct prognoses. Left atrial (LA) strain, measured by speckle tracking echocardiography (STE), is a validated prognostic indicator. This study aimed to evaluate LA and left ventricular (LV) mechanical strains in hypertensive patients with snLVEF.
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