CBS 2019
CBSMD教育中心
中 文

ASCVD Prevention

Abstract

Recommended Article

Noninvasive Nuclear SPECT Myocardial Blood Flow Quantitation to Guide Management for Coronary Artery Disease Machine Learning Using CT-FFR Predicts Proximal Atherosclerotic Plaque Formation Associated With LAD Myocardial Bridging Myocardial bridging of the left anterior descending coronary artery is associated with reduced myocardial perfusion reserve: a 13N-ammonia PET study Atherosclerosis — An Inflammatory Disease Diagnostic performance of noninvasive myocardial perfusion imaging using single-photon emission computed tomography, cardiac magnetic resonance, and positron emission tomography imaging for the detection of obstructive coronary artery disease: a meta-analysis The Year in Cardiovascular Medicine 2020: Coronary Prevention: Looking back on the Year in Cardiovascular Medicine for 2020 in the field of coronary prevention is Professor Ramon Estruch, Dr Luis Ruilope, and Professor Francesco Cosentino. Mark Nicholls meets them Diagnostic accuracy of cardiac positron emission tomography versus single photon emission computed tomography for coronary artery disease: a bivariate meta-analysis 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk: The Task Force for the management of dyslipidaemias of the European Society of Cardiology (ESC) and European Atherosclerosis Society (EAS)
|<<... 2 3 4 5 6 7 8 ...>>|

Original Research2020 Feb 17[Online ahead of print]

JOURNAL：Eur Heart J. Cardiovasc Imaging Article Link

Clinical Risk Factors and Atherosclerotic Plaque Extent to Define Risk for Major Events in Patients Without Obstructive Coronary Artery Disease: The Long-Term Coronary Computed Tomography Angiography CONFIRM Registry

AR van Rosendael, AM Bax, JM Smit et al. Keywords: coronary computed tomography angiography; risk stratification; atherosclerosis; imaging; preventive cardiology

ABSTRACT

AIMS - In patients without obstructive coronary artery disease (CAD), we examined the prognostic value of risk factors and atherosclerotic extent.

 

METHODS AND RESULTS - Patients from the long-term CONFIRM registry without prior CAD and without obstructive (≥50%) stenosis were included. Within the groups of normal coronary computed tomography angiography (CCTA) (N = 1849) and non-obstructive CAD (N = 1698), the prognostic value of traditional clinical risk factors and atherosclerotic extent (segment involvement score, SIS) was assessed with Cox models. Major adverse cardiac events (MACE) were defined as all-cause mortality, non-fatal myocardial infarction, or late revascularization. In total, 3547 patients were included (age 57.9 ± 12.1 years, 57.8% male), experiencing 460 MACE during 5.4 years of follow-up. Age, body mass index, hypertension, and diabetes were the clinical variables associated with increased MACE risk, but the magnitude of risk was higher for CCTA defined atherosclerotic extent; adjusted hazard ratio (HR) for SIS >5 was 3.4 (95% confidence interval [CI] 2.3–4.9) while HR for diabetes and hypertension were 1.7 (95% CI 1.3–2.2) and 1.4 (95% CI 1.1–1.7), respectively. Exclusion of revascularization as endpoint did not modify the results. In normal CCTA, presence of ≥1 traditional risk factors did not worsen prognosis (log-rank P = 0.248), while it did in non-obstructive CAD (log-rank P = 0.025). Adjusted for SIS, hypertension and diabetes predicted MACE risk in non-obstructive CAD, while diabetes did not increase risk in absence of CAD (P-interaction = 0.004).

 

CONCLUSION - Among patients without obstructive CAD, the extent of CAD provides more prognostic information for MACE than traditional cardiovascular risk factors. An interaction was observed between risk factors and CAD burden, suggesting synergistic effects of both.

>CBS CBS 2019

> CBS 2019 REGISTRATION

> CBS 2019 PROGRAM

> CBS 2019 CALL FOR SCIENCE

> CBS 2019 SPOTLIGHTS

 CBSMD

> CBSMD WEBSITE REGISTRATION

> EDUCATION CENTER

> RECOMMANDED PAPER

> TOP 10 RESEARCH PAPER

> PRE-READING

CBS 2019 CBS 2019 FACULTY Education Resource CBSMD Scientific Library
Copyright ⓒ CBS MD Nanjing China. All rights reserved. 京ICP备16025898号-11
联系我们| Top