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Off TARGET Effects in Stent Comparison Trials: Looking Beyond the Primary Endpoint Analysis.
J Am Coll Cardiol
December 2024
Department of Cardiology and Cardiovascular Research Institute, Mater Private Network, Dublin, Ireland; School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland. Electronic address:
Cost-Effectiveness of Semaglutide in Patients With Obesity and Cardiovascular Disease.
Can J Cardiol
December 2024
Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Department of Medicine, University of Calgary, Calgary, Alberta, Canada; O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada; Department of Cardiac Sciences, University of Calgary, Calgary, Alberta, Canada. Electronic address:
Background: Randomized clinical trials have shown that semaglutide is associated with a clinically relevant reduction in body weight and a lower risk of adverse cardiovascular events in those who are overweight or obese with a history of cardiovascular disease but no diabetes. The objective of this study was to assess the cost-effectiveness of semaglutide for this indication.
Methods: A decision analytic Markov model was used to compare the lifetime benefits and costs of semaglutide 2.
Cardiac Biomarkers in a Brazilian Indigenous Population Exposed to Arboviruses: A Cross-Sectional Study.
Viruses
December 2024
Faculty of Medicine, Federal University of Vale do São Francisco-UNIVASF, Petrolina 56304-917, PE, Brazil.
Arthropod-borne viral diseases are acute febrile illnesses, sometimes with chronic effects, that can be debilitating and even fatal worldwide, affecting particularly vulnerable populations. Indigenous communities face not only the burden of these acute febrile illnesses, but also the cardiovascular complications that are worsened by urbanization. A cross-sectional study was conducted in an Indigenous population in the Northeast Region of Brazil to explore the association between arboviral infections (dengue, chikungunya, and Zika) and cardiac biomarkers, including cardiotrophin 1, growth differentiation factor 15, lactate dehydrogenase B, fatty-acid-binding protein 3, myoglobin, N-terminal pro-B-type natriuretic peptide, cardiac troponin I, big endothelin 1, and creatine kinase-MB, along with clinical and anthropometric factors.
View Article and Find Full Text PDFArrhythmia Detection by Data Fusion of ECG Scalograms and Phasograms.
Sensors (Basel)
December 2024
Department of Information Engineering, Electronics and Telecommunications (DIET), Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.
The automatic detection of arrhythmia is of primary importance due to the huge number of victims caused worldwide by cardiovascular diseases. To this aim, several deep learning approaches have been recently proposed to automatically classify heartbeats in a small number of classes. Most of these approaches use convolutional neural networks (CNNs), exploiting some bi-dimensional representation of the ECG signal, such as spectrograms, scalograms, or similar.
View Article and Find Full Text PDFDiscovery of Non-Peptide GLP-1 Positive Allosteric Modulators from Natural Products: Virtual Screening, Molecular Dynamics, ADMET Profiling, Repurposing, and Chemical Scaffolds Identification.
Pharmaceutics
December 2024
Department of Chemistry, College of Science, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia.
Glucagon-like peptide-1 (GLP-1) receptor is currently one of the most explored targets exploited for the management of diabetes and obesity, with many aspects of its mechanisms behind cardiovascular protection yet to be fully elucidated. Research dedicated towards the development of oral GLP-1 therapy and non-peptide ligands with broader clinical applications is crucial towards unveiling the full therapeutic capacity of this potent class of medicines. This study describes the virtual screening of a natural product database consisting of 695,133 compounds for positive GLP-1 allosteric modulation.
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