Cardiovascular agents
A recent study published in Folia Microbiologica has explored the potential of a natural therapeutic approach in managing hyperlipidemia, highlighting the synergistic effects of a combined intervention using bacterial lysates derived from Lactobacillus casei and Lactobacillus acidophilus alongside an extract of Physalis peruviana. The study aimed to investigate the hypolipidemic
Cardiac patients
A qualitative study was conducted to explore motivational archetypes among coronary heart disease (CHD) patients during cardiac rehabilitation (CR) in Heilongjiang Province, China. The research, led by Xueqi Zhang, employed Self-Determination Theory (SDT) and directed content analysis to analyze data from 20 CHD patients interviewed between May and July 2024.
CAT scans
A recent study conducted by researchers from Tianjin Medical University General Hospital has shed light on the willingness of cardiologists and radiologists to adopt computed tomography-derived fractional flow reserve (CT-FFR) for the diagnosis of coronary artery disease. The study, published in the Global Heart journal, aimed to quantify professional attitudes
Coronary heart disease
Researchers at Cedars-Sinai Medical Center in Los Angeles, California, have made significant findings in the field of heart disorders and diseases. Positron Emission Tomography (PET) myocardial perfusion imaging (MPI) has been identified as a powerful tool for predicting coronary artery disease (CAD). The study, published in the Journal of Nuclear
Diseases
The largest randomized Drug Eluting Balloon trial, SELUTION DeNovo, has shown that a SELUTION SLR(TM) DEB treatment strategy is non-inferior to a systematic DES treatment strategy in real-world coronary de novo lesions. The trial, which enrolled 3,323 patients across 62 international sites, demonstrated a target vessel failure (TVF)
Adipose tissue
Current research suggests that the atherogenic index of plasma (AIP) is a robust predictor of cardiovascular risk, yet its mechanism of action in the severity of coronary artery disease (CAD) remains unknown. A study published in Frontiers in Cardiovascular Medicine has shed light on this relationship, revealing that pericoronary adipose
Coronary heart disease
Researchers from the Third Affiliated Hospital of Soochow University in Changzhou, People's Republic of China, have published a new report on the association between epicardial fat volume index (EFVi) and coronary artery disease (CAD) phenotypes. The study found that EFVi was more effective than epicardial fat volume (EFV)
Artificial intelligence
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
Diseases
Researchers from the Medical University of Warsaw conducted a study to evaluate the association between coronary artery disease (CAD) and its major risk factors in patients with type 1 diabetes (T1D) who are potential recipients of pancreas transplantation. The study, published in Clinical Diabetology, found that fasting triglyceride levels were
Coronary heart disease
A study published in Clinical Diabetology has found a strong correlation between high levels of triglycerides and the development of coronary artery disease in individuals with type 1 diabetes. The study, conducted by researchers at the Medical University of Warsaw, involved 113 patients with type 1 diabetes who were qualified
Coronary heart disease
Researchers at the University of Oxford have highlighted the significance of vascular inflammation in the development of coronary artery disease (CAD). Using the perivascular fat attenuation index (FAI) Score from coronary computed tomography angiography (CCTA), researchers found that measuring coronary inflammation could provide unique prognostic information and guide clinical management
Diseases
Researchers at Wannan Medical College, Anhui, People's Republic of China, have conducted a study to develop a machine learning model for predicting Chronic Coronary Disease (CCD) using text data and baseline characteristics. The study aimed to improve existing Pre-test Probability (PTP) models, which mainly rely on in-hospital data
