Women with coronary artery disease are less likely to undergo coronary artery bypass surgery, and this may represent a potential referral bias in favor of men. A higher in-hospital mortality rate in women compared with men has been reported earlier. Accumulating evidence currently suggests, however, that variables other than gender, such as advanced age, late referral, angina classification, diabetes mellitus, concurrent medical conditions, the number of diseased vessels, the caliber of coronary arteries, and the decreased body surface area in women may have accounted for this difference. In fact, when these variables are taken into account, female gender is no longer a statistically significant predictor of operative mortality. Women appear to have comparable immediate and late survival rates. Recurrent angina, perioperative myocardial infarction, congestive heart failure, incomplete revascularization, and early and late graft reocclusion following surgery are, however, more prevalent in women. Men and women show differences in recovery experiences after discharge following bypass surgery. When coronary bypass surgery is offered to women, the decision should be individualized, based on the patients' perioperative baseline clinical risk factors and coronary anatomy. Coronary artery bypass surgery should not be withheld in women who are considered to be appropriate candidates for fear of a reduced success rate.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/000331979804900401 | DOI Listing |
Eur J Radiol
January 2025
Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany. Electronic address:
Objectives: Coronary CT angiography (CCTA) is an excellent tool in ruling out coronary artery disease (CAD) but tends to overestimate especially highly calcified plaques. To reduce diagnostic invasive catheter angiographies (ICA), current guidelines recommend CT-FFR to determine the hemodynamic significance of coronary artery stenosis. Photon-Counting Detector CT (PCCT) revolutionized CCTA and may improve CT-FFR analysis in guiding patients.
View Article and Find Full Text PDFEur Heart J Cardiovasc Imaging
January 2025
National Heart Center Singapore, Singapore, Singapore.
Aims: To identify differences in CT-derived perivascular (PVAT) and epicardial adipose tissue (EAT) characteristics that may indicate inflammatory status differences between post-treatment acute myocardial infarction (AMI) and stable coronary artery disease (CAD) patients.
Methods And Results: A cohort of 205 post-AMI patients (age 59.8±9.
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 PDFCoron Artery Dis
January 2025
Department of Cardiology and Electrotherapy, Silesian Center for Heart Diseases.
Eur J Prev Cardiol
January 2025
Department of Clinical Sciences and Community Health, University of Milan, Via Commenda 19, Milan 20122, Italy.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!