Non-invasive Detection of Coronary Inflammation using Computed Tomography and Prediction of Residual Cardiovascular Risk (the CRISP CT study): a Post-Hoc Analysis of Prospective Outcome Data
Coronary artery inflammation inhibits adipogenesis in adjacent perivascular fat. A novel imaging biomarker—the perivascular fat attenuation index (FAI)—captures coronary inflammation by mapping spatial changes of perivascular fat attenuation on coronary computed tomography angiography (CTA). However, the ability of the perivascular FAI to predict clinical outcomes is unknown.
In the Cardiovascular RISk Prediction using Computed Tomography (CRISP-CT) study, we did a post-hoc analysis of outcome data gathered prospectively from two independent cohorts of consecutive patients undergoing coronary CTA in Erlangen, Germany (derivation cohort) and Cleveland, OH, USA (validation cohort). Perivascular fat attenuation mapping was done around the three major coronary arteries—the proximal right coronary artery, the left anterior descending artery, and the left circumflex artery. We assessed the prognostic value of perivascular fat attenuation mapping for all-cause and cardiac mortality in Cox regression models, adjusted for age, sex, cardiovascular risk factors, tube voltage, modified Duke coronary artery disease index, and number of coronary CTA-derived high-risk plaque features.
Perivascular adipose tissue as a source of therapeutic targets and clinical biomarkers: A clinical consensus statement from the European Society of Cardiology Working Group on Coronary Pathophysiology and Micro-circulation
This clinical consensus statement from the European Society of Cardiology defines perivascular adipose tissue (PVAT) and highlights the biological mechanisms…
SARS-CoV-2 infection triggers pro-atherogenic inflammatory responses in human coronary vessels
Abstract: Patients with coronavirus disease 2019 (COVID-19) present increased risk for ischemic cardiovascular complications up to 1 year after infection. Although…