CBS 2019
CBSMD教育中心
English

科学研究

科研文章

荐读文献

Cardiac MRI Endpoints in Myocardial Infarction Experimental and Clinical Trials JACC Scientific Expert Panel AIM2-driven inflammasome activation in heart failure Cardiovascular Risk Reduction with Icosapent Ethyl for Hypertriglyceridemia Rare Genetic Variants Associated With Sudden Cardiac Death in Adults Timing and Causes of Unplanned Readmissions After Percutaneous Coronary Intervention: Insights From the Nationwide Readmission Database Impact of Optimal Medical Therapy on 10-Year Mortality After Coronary Revascularization Use of High-Risk Coronary Atherosclerotic Plaque Detection for Risk Stratification of Patients With Stable Chest Pain: A Secondary Analysis of the PROMISE Randomized Clinical Trial Defining High Bleeding Risk in Patients Undergoing Percutaneous Coronary Intervention: A Consensus Document From the Academic Research Consortium for High Bleeding Risk Left Ventricular Assist Devices: Synergistic Model Between Technology and Medicine Incidence, Predictors, and Outcomes of In-Hospital Percutaneous Coronary Intervention Following Coronary Artery Bypass Grafting

Original Research2016 Dec;255:73-79.

JOURNAL:Atherosclerosis. Article Link

Plaque progression assessed by a novel semi-automated quantitative plaque software on coronary computed tomography angiography between diabetes and non-diabetes patients: A propensity-score matching study

Nakanishi R, Ceponiene I, Osawa K et al. Keywords: coronary computed tomography angiography; Diabetes; Plaque progression

ABSTRACT


BACKGROUND AND AIMS - We aimed at investigating whether diabetes is associated with progression in coronary plaque components.

 

METHODS - We identified 142 study subjects undergoing serial coronary computed tomography angiography. The resulting propensity score was applied 1:1 to match diabetic patients to non-diabetic patients for clinical risk factors, prior coronary stenting, coronary arterycalcium (CAC) score and the serial scan interval, resulting in the 71 diabetes and 71 non-diabetes patients. Coronary plaque (total, calcified, non-calcified including fibrous, fibrous-fatty and low attenuation plaque [LAP]) volume normalized by total coronary arterylength was measured using semi-automated plaque software and its change overtime between diabetic and non-diabetic patients was evaluated.

 

RESULTS - The matching was successful without significant differences between the two groups in all matched variables. The baseline volumes in each plaque also did not differ. During a mean scan interval of 3.4 ± 1.8 years, diabetic patients showed a 2-fold greater progression in normalized total plaque volume (TPV) than non-diabetes patients (52.8 mm3vs. 118.3 mm3, p = 0.005). Multivariable linear regression model revealed that diabetes was associated with normalized TPV progression (β 72.3, 95%CI 24.3-120.3). A similar trend was observed for the non-calcified components, but not calcified plaque (β 3.8, 95%CI -27.0-34.7). Higher baseline CAC score was found to be associated with total, non-calcified and calcified plaque progression. However, baseline non-calcified volume but not CAC score was associated with LAP progression.

 

CONCLUSIONS - The current study among matched patients indicates diabetes is associated with a greater plaque progression. Our results show the need for strict adherence of diabetic patients to the current preventive guidelines.

 

Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.