Cardiovascular diseases including cardiac arrhythmias lead to fatal events in patients with coronary artery disease; however, clinical associations from echocardiography, electrocardiography (ECG), and biomarkers remain unknown. We sought to identify the factors that may be related to elevated QRS intervals in patients with risk for coronary artery disease. In this study, we performed analysis of clinical data from 503 patients divided into two groups, i.e., patients with either <50% coronary artery stenosis or >50% coronary artery stenosis. We further examined patients with elevated ECG parameters such as QRS > 100 ms and QTc > 440 ms. Patients with >50% coronary artery stenosis exhibited significant increases in age, triglycerides, and troponin levels. Further, ECG parameters demonstrated increased QRS and QTc durations, while echocardiographic parameters highlighted a decrease in ejection fraction (EF) and fractional shortening (FS). Patients with QTc > 440 ms exhibited increased brain natriuretic peptide and creatinine levels with a decrease in estimated glomerular filtration rate clearance rates. Patients with QRS > 100 ms had greater left ventricular (LV) mass and LV internal diameter in systole and diastole. Multimodal logistic regression showed significant relation between QTc, age, and creatinine. These findings suggest that patients with significant coronary stenosis may have lower EF and FS with prolonged QRS intervals, demonstrating greater risk for arrhythmic events.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1139/cjpp-2020-0728 | 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!