Eur Heart J Acute Cardiovasc Care
January 2025
Aim: The diagnostic criteria for type 2 myocardial infarction identify a heterogenous group of patients with variable outcomes and no clear treatment implications. We aimed to determine the implications of a new clinical classification for myocardial infarction with more objective diagnostic criteria using cardiac imaging.
Methods: In a prospective cohort study, patients with type 2 myocardial infarction underwent coronary angiography and cardiac magnetic resonance imaging or echocardiography.
Background: Diabetes mellitus is an established cardiovascular risk factor. We assessed the impact of diabetes mellitus on quantitative plaque and long-term outcomes in patients with and without diabetes mellitus in the Scottish COmputed Tomography of the HEART (SCOT-HEART) trial.
Methods: Coronary artery calcium (CAC) was assessed on non-contrast computed tomography (CT).
Augmenting traditional genome-wide association studies (GWAS) with advanced machine learning algorithms can allow the detection of novel signals in available cohorts. We introduce "genome-wide association neural networks (GWANN)" a novel approach that uses neural networks (NNs) to perform a gene-level association study with family history of Alzheimer's disease (AD). In UK Biobank, we defined cases (n = 42 110) as those with AD or family history of AD and sampled an equal number of controls.
View Article and Find Full Text PDFBackground: Myocardial fibrosis is a key healing response after myocardial infarction driven by activated fibroblasts. Gallium-68-labeled fibroblast activation protein inhibitor ([Ga]-FAPI) is a novel positron-emitting radiotracer that binds activated fibroblasts.
Objectives: The aim of this study was to investigate the intensity, distribution, and time-course of fibroblast activation after acute myocardial infarction.
Nuclear cardiology offers a diverse range of imaging tools that provide valuable insights into myocardial perfusion, inflammation, metabolism, neuroregulation, thrombosis, and microcalcification. These techniques are crucial not only for diagnosing and managing cardiovascular conditions but also for gaining pathophysiologic insights. Surrogate biomarkers in nuclear cardiology, represented by detectable imaging changes, correlate with disease processes or therapeutic responses and can serve as endpoints in clinical trials when they demonstrate a clear link with these processes.
View Article and Find Full Text PDF