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http://dx.doi.org/10.1111/j.1365-2516.2009.02115.x | DOI Listing |
BMC Cardiovasc Disord
January 2025
Department of Cardiology, Xuzhou Central Hospital, No.199 Jiefang South Road, Quanshan District, Xuzhou, 221009, People's Republic of China.
Background: The aim of this study is to identify factors associated with the development of long-term severe tricuspid regurgitation (TR) following mitral valve replacement (MVR).
Methods: A retrospective analysis was conducted involving 308 patients who underwent single-valve MVR at Xuzhou Central Hospital between April 2017 and December 2022. Preoperative color Doppler ultrasound indicated that all patients had either no or mild to moderate tricuspid regurgitation.
Nat Commun
January 2025
Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Bacterial artificial chromosome transgenic models, including most Cre-recombinases, enable potent interrogation of gene function in vivo but require rigorous validation as limitations emerge. Due to its high relevance to metabolic studies, we perform comprehensive analysis of the Ucp1-Cre line which is widely used for brown fat research. Hemizygotes exhibit major brown and white fat transcriptomic dysregulation, indicating potential altered tissue function.
View Article and Find Full Text PDFComput Biol Med
January 2025
Applied Artificial Intelligence Institute, Deakin University, Geelong, Australia.
Multimorbidity, the co-occurrence of multiple chronic conditions within the same individual, is increasing globally. This is a challenge for the single patients, as these individuals are subject to a heavy disease and treatment burden, yet evidence on the epidemiology and consequences of multimorbidity remains underexplored. Historically, studies aiming to understand multimorbidity patterns predominantly utilized cross-sectional data, neglecting the essential temporal dynamics which shape multimorbidity progression.
View Article and Find Full Text PDFPLoS 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 PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!