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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
- Publication Year :
- 2018
- Publisher :
- Elsevier, 2018.
-
Abstract
- Background 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. Methods 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. Findings Between 2005 and 2009, 1872 participants in the derivation cohort underwent coronary CTA (median age 62 years [range 17–89]). Between 2008 and 2016, 2040 patients in the validation cohort had coronary CTA (median age 53 years [range 19–87]). Median follow-up was 72 months (range 51–109) in the derivation cohort and 54 months (range 4–105) in the validation cohort. In both cohorts, high perivascular FAI values around the proximal right coronary artery and left anterior descending artery (but not around the left circumflex artery) were predictive of all-cause and cardiac mortality and correlated strongly with each other. Therefore, the perivascular FAI measured around the right coronary artery was used as a representative biomarker of global coronary inflammation (for prediction of cardiac mortality, hazard ratio [HR] 2·15, 95% CI 1·33–3·48; p=0·0017 in the derivation cohort, and 2·06, 1·50–2·83; p Interpretation The perivascular FAI enhances cardiac risk prediction and restratification over and above current state-of-the-art assessment in coronary CTA by providing a quantitative measure of coronary inflammation. High perivascular FAI values (cutoff ≥–70·1 HU) are an indicator of increased cardiac mortality and, therefore, could guide early targeted primary prevention and intensive secondary prevention in patients.
- Subjects :
- Adult
Male
medicine.medical_specialty
Adolescent
Computed Tomography Angiography
Coronary Artery Disease
030204 cardiovascular system & hematology
Coronary Angiography
Risk Assessment
030218 nuclear medicine & medical imaging
Coronary artery disease
03 medical and health sciences
Young Adult
0302 clinical medicine
Imaging, Three-Dimensional
Predictive Value of Tests
Internal medicine
medicine.artery
Adipocytes
Medicine
Humans
Prospective Studies
Prospective cohort study
Aged
Proportional Hazards Models
Aged, 80 and over
business.industry
Proportional hazards model
Hazard ratio
General Medicine
Middle Aged
medicine.disease
Coronary Vessels
Survival Analysis
Plaque, Atherosclerotic
medicine.anatomical_structure
Adipose Tissue
Predictive value of tests
Right coronary artery
Cardiology
Biomarker (medicine)
Female
business
Artery
Follow-Up Studies
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....de911d992eff1570d59ab9f42feb493f