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Carotid plaque is strongly associated with coronary artery calcium and predicts incident coronary heart disease in a population-based cohort

医学 无症状的 内科学 心脏病学 弗雷明翰风险评分 人口 队列 队列研究 冠状动脉疾病 疾病 环境卫生
作者
Elías F. Guðmundsson,Guðlaug Björnsdóttir,Sigurður Sigurðsson,Karl Andersen,Bolli Þórsson,Thor Aspelund,Vilmundur Guðnason
出处
期刊:Atherosclerosis [Elsevier]
卷期号:346: 117-123 被引量:23
标识
DOI:10.1016/j.atherosclerosis.2022.01.018
摘要

Coronary artery calcium (CAC) and carotid plaque are markers of atherosclerosis and predict future coronary heart disease (CHD) events. The aim of this study was to investigate associations between CAC and carotid plaque in asymptomatic individuals, also in relation to predicted CHD-risk and incident events. A secondary aim was to compare predictive value between CAC, carotid plaque, and total carotid plaque area (TPA) as predictors for future CHD-events.The REFINE-Reykjavik study is prospective and population-based with CAC-scoring and carotid plaque ultrasound assessment, both presence and area. A total of 948 individuals without clinical CHD were included in the study. CAC scores were categorized into 0,1-100,101-300 and > 300, and carotid plaque into none, minimal and significant. Three models were applied adjusted for age, sex, and each of the Framingham risk score (FRS), local CHD risk score and established CHD risk factors.Combined carotid plaque- and CAC-presence was highly prevalent, 69.5% for males and 41.7% for females (54.5% overall). TPA outperformed base models in CHD prediction, resulting in statistically significant area under the receiver operator characteristic curve (AUC) increase ranging from 0.02 to 0.05. Most CHD-events in females occurred in individuals classified as low-risk with respect to traditional risk factors but with a gradient in observed risk across carotid plaque categories.Carotid plaque was strongly associated with the presence and extent of CAC in asymptomatic individuals in a population-based cohort. Carotid plaque predicts incident CHD events over risk scores and may be useful for refined risk prediction in females.
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