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Factors Associated With the Development of Heart Failure Following Acute Coronary Syndrome: A Systematic Review and Meta-Analysis.
Cureus
December 2024
Internal Medicine, University of Health Sciences, Lahore, PAK.
Acute coronary syndrome (ACS) remains a major global health burden, encompassing a spectrum of conditions from unstable angina to acute myocardial infarction. Despite advancements in early detection and management, ACS is often complicated by the development of heart failure. This systematic review and meta-analysis aimed to identify factors associated with the development of heart failure following acute coronary syndrome.
View Article and Find Full Text PDFIntroduction We aimed to assess whether partial hepatectomy has an influence on conventional and speckle tracking parameters on echocardiography in living liver donors in the early postoperative period. Methods This study was a retrospective study to investigate the cardiac effects of liver donation after the transplant operation in a high-volume liver transplant center. Ninety living liver donors were included in the study.
View Article and Find Full Text PDFEnhancing Thromboembolic Risk Prediction in Non-valvular Atrial Fibrillation: The Critical Role of Transesophageal Echocardiography (TEE).
Cureus
December 2024
Cardiology, Avicenna Military Hospital, Marrakesh, MAR.
Introduction Atrial fibrillation (AF), the most common cardiac arrhythmia, poses challenges in predicting thromboembolic risk. While the CHADS-VASc (congestive heart failure, hypertension, age ≥ 75 years (doubled), type 2 diabetes mellitus, previous stroke, transient ischemic attack, or thromboembolism (doubled), vascular disease, age 65-74 years, and sex category) score remains essential, its limitations include failure to identify left atrial (LA) thrombus in some patients. Transesophageal echocardiography (TEE) provides superior detection of LA thrombi and thrombogenic factors compared to transthoracic echocardiography (TTE), improving risk stratification, especially in intermediate-risk groups.
View Article and Find Full Text PDFClinically interpretable multiclass neural network for discriminating cardiac diseases.
Heliyon
January 2025
Department of Information Engineering, Università Politecnica delle Marche, via Brecce Bianche, Ancona, 60131, Italy.
Background: Deep-learning applications in cardiology typically perform trivial binary classification and are able to discriminate between subjects affected or not affected by a specific cardiac disease. However, this working scenario is very different from the real one, where clinicians are required to recognize the occurrence of one cardiac disease among the several possible ones, performing a multiclass classification. The present work aims to create a new interpretable deep-learning tool able to perform a multiclass classification and, thus, discriminate among several different cardiac diseases.
View Article and Find Full Text PDFAn unexpected and tumultuous diagnosis of a left atrial mass.
Monaldi Arch Chest Dis
January 2025
Local Health Unit of São João, Porto.
This case presents a curious diagnosis in a young male presenting with chest pain. The first imaging tests suggested the presence of a hypovascular left atrial tumor. After cardiac magnetic resonance and the exclusion of extra-cardiac lesions, sarcoma emerged as the main diagnostic hypothesis.
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