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Association between atherosclerotic cardiovascular disease risk score estimated by pooled cohort equation and coronary plaque burden as assessed by NaF-PET/CT

机译:由NAF-PET / CT评估的汇集队列方程和冠状动脉斑块负担估计的动脉粥样硬化心血管疾病风险评分

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摘要

Pooled Cohort Equations (PCE) combines metabolic and non-metabolic parameters to predict the 10-year risk of atherosclerotic cardiovascular disease (ASCVD). Therefore, we hypothesize that ASCVD risk score is correlated to global cardiac microcalcification, as assessed by 18F-sodium fluoride-positron emission tomography/computed tomography (NaF-PET/CT). Sixty-one individuals (53.4±8.9 years, 32 females, 100% Caucasian) without known ASCVD underwent NaF-PET/CT imaging. Global cardiac average SUVmean (aSUVmean), also known as the Alavi-Carlsen Calcification Score, was calculated across manually defined regions of interest on each axial slice for each individual. The 10-year ASCVD risk score was determined for each individual using the PCE as per ACC/AHA guidelines, and then individuals were categorized into low-, borderline-, intermediate-, and high-risk groups based on their score. Linear regression analysis was applied to compare each individual’s ASCVD score and aSUVmean. Global cardiac aSUVmean stratified by groups estimated by 10-year ASCVD risk score were 0.67±0.09 for low risk (n=32), 0.70±0.11 for borderline risk (n=10), 0.72±0.10 for intermediate risk (n=17), and 0.78±0.10 for high risk (n=2). ASCVD risk score was significantly correlated to aSUVmean (r=0.27, P=0.03). This is among the first studies to compare ASCVD risk scores to cardiac plaque burden as assessed by NaF-PET/CT. Large, prospective studies are needed to further investigate the potential of NaF uptake in ASCVD.
机译:汇集队列方程(PCE)结合了代谢和非代谢参数来预测动脉粥样硬化心血管疾病(ASCVD)的10年风险。因此,我们假设ASCVD风险评分与全局心脏微钙化相关,如18倍氟化钠 - 正电子发射断层扫描/计算断层扫描(NAF-PET / CT)评估。六十一人(53.4±8.9岁,32例女性,100%高加索),无需已知的ASCVD接受了NAF-PET / CT成像。全球心脏平均SUVMEAN(ASUVMEAN),也称为Alavi-Carlsen钙化评分,在每个轴向切片上的手动定义的每个轴向区域上计算了每个轴向切片的。使用PCE根据ACC / AHA指南使用PCE确定10年的ASCVD风险评分,然后根据其分数分为低,边界,中级和高风险群体。应用线性回归分析来比较每个个人的ASCVD得分和ASUVMEAN。由10年估计的群体分层的全球心脏ASUVMEAN分层为0.67±0.09,对于低风险(n = 32),对于边界风险(n = 10),0.70±0.11,用于中间风险为0.72±0.10(n = 17)高风险(n = 2)的0.78±0.10。 ASCVD风险评分与ASUVmean显着相关(r = 0.27,p = 0.03)。这是第一次研究,将ASCVD风险评分与NAF-PET / CT评估的心脏斑块负担进行比较。需要大,前瞻性研究进一步调查NAF在ASCVD中的潜力。

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