Current risk stratification algorithms capture high-risk individuals with classical risk factors or established atherosclerotic cardiovascular disease (ASCVD). However, a clinically relevant proportion of individuals without threshold levels of standard modifiable risk factors (SMuRF) – namely hypertension, dysli...
F. Kahles, B. Kurt, K. Schneider et al.· European Heart Journal· 0 citations
High-sensitivity C-reactive protein (hsCRP) is the guideline-recommended biomarker for assessment of residual inflammatory risk in atherosclerotic cardiovascular disease (ASCVD). Clinical adoption remains limited, especially in individuals without established ASCVD. This study used longitudinal measurements to ev...
B. Kurt, M. Reugels, K. Schneider et al.· European Heart Journal· 0 citations
Traditional risk factors for atherosclerotic cardiovascular disease (ASCVD) fail to fully reflect the residual risk, driven by chronic low-grade inflammation, observed in many. Generally, high-sensitivity C-reactive protein (hsCRP) concentrations remain stable, but some individuals may experience increases. More...
F. Kahles, M. Reugels, K. Schneider et al.· European Heart Journal· 0 citations
The Coronary Vasomotor Disorders International Study group (COVADIS) developed the diagnostic criteria for vasospastic angina and microvascular angina more than 8 years ago. This article critically reappraises these criteria (Latin: quid fecisti - what has been done) and proposes the strategies for their advancement (L...
John F. Beltrame, Peter Ong, C. Berry et al.· Heart, Lung and Circulation· 0 citations
The updated COVADIS criteria for microvascular angina incorporate new suggestions for endotype definitions based on the invasive assessment of coronary physiology including coronary flow reserve and the index of microvascular resistance during pharmacological stress as well as acetylcholine testing for epicardial and/o...
Peter Ong, P. Camici, John F. Beltrame et al.· International Journal of Car...· 0 citations
The observed HF-cancer association is influenced by statistical methodology, shared risk factors, differences in surveillance intensity and cancer type, that confound analyses investigating possible causal biological links.
L. Sanasi, A. Iaconelli, Danila Azzolina et al.· European Journal of Heart Fa...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
