… on cardiovascular events in patients with or without cardiovascular disease warranted. … may
help to predict future risk of cardiovascular events. Circulating acute-phase reactants elicited …

… The main objective of this study was to predict cardiovascular events using a deep learning
… cardiovascular events by taking appropriate and timely measures. In this study, HRV features …

… Central haemodynamic indexes are independent predictors of future CV events and all-cause
mortality. Augmentation index predicts clinical events independently of peripheral …

… Even though some of these risk factors did not feature in the top 20, they remain crucial to …
of certain markers and risk factors on cardiovascular events. From this analysis, the importance …

… Patients suffering from cardiovascular events had … a significantly higher incidence of
cardiovascular events by Kaplan-Meier … of endothelial integrity is of crucial importance for …

… Longitudinal studies are needed to address what appears to be the crucial issue: is an insulin
resistant individual 'bound' to develop a string of abnormalities ultimately leading to CVD ? …

… development of cardiovascular events in a high-risk population. However, it is not known
whether structural alterations of small arteries may also predict major cardiovascular events. …

… ) to feature extraction (multi-dimensional feature vectors are … Two crucial decisions must
be made early in the construction … Prediction of major cardiovascular events among patients …

Objectives : The aim of this study was to analyze the yet ill-defined relationship of distinct
human monocyte subsets with cardiovascular outcomes in a broad patient population at …

… We aimed to evaluate the role of functional and feature-tracking (FT)-derived strain values
in predicting major adverse cardiovascular events (MACE) in patients with acute myocarditis. …