Coronary heart disease
Researchers at St. Paul's Hospital have published a groundbreaking study evaluating the relationship between artificial intelligence (AI)-quantified coronary plaque characteristics and high-sensitivity cardiac troponin T (hs-cTnT) levels in predicting adverse cardiovascular outcomes. The study, which included 527 patients who presented acutely to the emergency department and underwent
Coronary heart disease
Research conducted at the Mayo College of Medicine has found a significant association between chronic mental stress (MS) and coronary endothelial dysfunction (CED) in women with chest pain and non-obstructive coronary artery disease (CAD). The study, published in the International Journal of Cardiology Heart & Vasculature, evaluated the relationship between
Coronary heart disease
Research has shed light on the complex relationship between coronary artery disease (CAD), N-terminal pro-B-type natriuretic peptide (NT-ProBNP), and high-sensitivity cardiac troponin T (hs-cTnT) in patients with liver cirrhosis. A study published in the journal Digestive and Liver Disease found that hs-cTnT 14 ng/L and NT-ProBNP 300 pg/ml
Coronary heart disease
Researchers at Gulf Medical University have recently conducted a study on the prescription practices of optimal medical therapy (OMT) following percutaneous coronary intervention (PCI) in a tertiary care hospital in the United Arab Emirates. The study aimed to evaluate the prevalence and determinants of OMT prescription at hospital discharge. The
Coronary heart disease
Recent research out of East Java, Indonesia, has highlighted the importance of coronary artery bypass grafting (CABG) in treating complex coronary artery disease (CAD). The study, conducted by researchers at Universitas Brawijaya, emphasizes the need for a multidisciplinary, individualized approach to ensure optimal patient outcomes and durable surgical benefits. According
Coronary heart disease
A new study on ischemia and vascular diseases has shown that an invasive strategy is more effective in improving health status outcomes than a conservative approach. The study, led by researchers at Saint Luke's Mid America Heart Institute, analyzed data from the ISCHEMIA trial, which compared the health
Coronary heart disease
A new meta-analysis published in the journal Heart & Lung has shed light on the effectiveness of transcatheter aortic valve replacement (TAVR) with percutaneous coronary intervention (PCI) versus surgical aortic valve replacement (SAVR) with coronary artery bypass graft (CABG) in patients with concomitant severe aortic stenosis (AS) and coronary artery
Coronary heart disease
Researchers at Yonsei University College of Medicine have found that large language models (LLMs) can accurately categorize coronary artery disease (CAD) using coronary CT angiography (CCTA) reports, outperforming human readers in some cases. The study evaluated the accuracy of four LLMs and four human readers in assigning CAD-RADS 2.0
Coronary heart disease
Research conducted in Gaziantep, Turkiye, has shed light on the potential link between hepatosteatosis and coronary artery disease (CAD). The study, published in Clinical Radiology, aimed to evaluate the association between hepatosteatosis, epicardial adipose tissue (EAT), and paracardial adipose tissue (PAT) with CAD. The study analyzed 331 consecutive patients using
Coronary heart disease
Research conducted by Tanta University's Department of Radiodiagnosis and Medical Imaging has revealed a significant association between non-alcoholic fatty liver disease (NAFLD) and coronary artery calcification. The study, involving 404 adult patients referred to cardiovascular screening or coronary artery disease (CAD) risk evaluation between January 2022 and December
Coronary heart disease
Artificial intelligence (AI) has the potential to revolutionize the detection of coronary artery disease (CAD) by significantly improving interreader agreement among cardiologists. A recent study published in Radiology found that a fully automated, multitask deep learning algorithm improved CAD detection and stenosis classification using coronary CT angiography (CCTA). The study
Algorithms
A new study on heart disease has revealed the potential of Machine Learning (ML) and Deep Learning (DL) techniques in early diagnosis of Coronary Heart Disease (CHD), one of the primary causes of cardiovascular morbidity and mortality worldwide. The researchers from Erzurum Technical University applied various ML and DL algorithms
