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The Nonsyndromic Ascending Thoracic Aorta in a Population-Based Setting: A 5-Year Prospective Cohort Study.
J Am Coll Cardiol
November 2024
Elite Centre for Individualized Medicine in Arterial Disease, Odense University Hospital, Odense, Denmark; Department of Cardiothoracic and Vascular Surgery, Odense University Hospital, Odense, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
Background: Prospective data on the clinical course of the ascending thoracic aorta are lacking.
Objectives: This study sought to estimate growth rates of the ascending aorta and to evaluate occurrences of adverse aortic events (AAEs)-that is, thoracic aortic ruptures, type A aortic dissections, and thoracic aortic-related deaths.
Methods: In this prospective cohort study from the population-based, multicenter, randomized DANCAVAS (Danish Cardiovascular Screening trials) I and II, participants underwent cardiovascular risk assessments including electrocardiogram-gated, noncontrast computed tomography (CT) scans.
A Novel Approach for the Treatment of Subclavian Steal Syndrome in a Patient Undergoing Coronary Artery Bypass Grafting.
Balkan Med J
January 2025
Clinic of Cardiovascular Surgery, VM Medicalpark Bursa Hospital, Bursa, Türkiye.
DCA-YOLOv8: A Novel Framework Combined with AICI Loss Function for Coronary Artery Stenosis Detection.
Sensors (Basel)
December 2024
School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Coronary artery stenosis detection remains a challenging task due to the complex vascular structure, poor quality of imaging pictures, poor vessel contouring caused by breathing artifacts and stenotic lesions that often appear in a small region of the image. In order to improve the accuracy and efficiency of detection, a new deep-learning technique based on a coronary artery stenosis detection framework (DCA-YOLOv8) is proposed in this paper. The framework consists of a histogram equalization and canny edge detection preprocessing (HEC) enhancement module, a double coordinate attention (DCA) feature extraction module and an output module that combines a newly designed loss function, named adaptive inner-CIoU (AICI).
View Article and Find Full Text PDFPharmacodynamic Model of the Hemodynamic Effects of Propofol and Remifentanil and Their Interaction with Noxious Stimulation.
Pharmaceutics
December 2024
Department of Pharmaceutical Sciences, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain.
: Despite the known impact of propofol and remifentanil on hemodynamics and patient outcomes, there is a lack of comprehensive quantitative analysis, particularly in surgical settings, considering the influence of noxious stimuli. The aim of this study was to develop a quantitative semi-mechanistic population model that characterized the time course changes in mean arterial pressure (MAP) and heart rate (HR) due to the effects of propofol, remifentanil, and different types of noxious stimulation related to the clinical routine. : Data from a prospective study were used; the study analyzed the effects of propofol and remifentanil general anesthesia on female patients in physical status of I-II according to the American Society of Anesthesiologists (ASA I-II) undergoing gynecology surgery.
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