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Predictive Factors of the Presence and Number of Noncalcified Coronary Plaque in Japanese Patients with Zero Coronary Artery Calcium Score Using 64-Slice Multi-Detector Computed Tomography

机译:使用64层多层检测计算机断层扫描技术对日本零冠状动脉钙评分为零的日本患者中非钙化冠状动脉斑块的存在和数量的预测因素

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Background: Factors that can predict the presence and number of noncalcified coronary plaques (NCP) in Japanese patients with zero coronary artery calcium scores (CACS) essentially remain undefined. Methods and Results: We assessed independent predictors of the presence and number of segments with NCP in 111 Japanese patients with zero CACS who underwent 64-slice multi-detector computed tomography at our hospital. Thirty five patients (32%) had NCP, and 24 patients (22%) had ≥ 2 NCPs. Multiple logistic regression analysis revealed that significant predictors for the presence of NCP were age (odds ratio [OR]: 1.06, 95% confidence interval [CI] 1.01 - 1.11, p = 0.021), male (OR: 3.61, 95% CI 1.40 - 9.35, p = 0.008) and diabetes mellitus (OR: 3.10, 95% CI 1.02 - 9.45, p = 0.046), and those for the presence of ≥ 2 NCPs were age (OR: 1.08, 95% CI 1.02 - 1.15, p = 0.007) and a current smoking habit (OR: 5.09, 95% CI 1.00 - 25.74, p = 0.049). Multiple linear regression analysis identified advanced age, male gender and diabetes mellitus as independent predictors of the number of NCPs. A novel score calculated from the above four predictors showed moderate accuracy for a diagnosis of NCP and ≥ 2 NCPs, with areas under receiver operating curves of 0.738 and 0.736, respectively. Conclusions: Male Japanese patients with zero CACS, advanced age, diabetes mellitus and a current smoking habit might have NCPs.
机译:背景:可以预测零冠状动脉钙评分(CACS)的日本患者中非钙化冠状动脉斑块(NCP)的存在和数量的因素基本上仍不确定。方法和结果:我们评估了111例日本CACS为零的64层多探测器计算机断层扫描的日本患者中NCP的存在和数量的独立预测因素。 35名患者(32%)有NCP,24名患者(22%)≥2个NCP。多元logistic回归分析显示,存在NCP的重要预测因素是年龄(优势比[OR]:1.06,95%置信区间[CI] 1.01-1.11,p = 0.021),男性(OR:3.61,95% CI 1.40-9.35,p = 0.008)和糖尿病(OR:3.10,95%CI 1.02-9.45,p = 0.046),存在≥2个NCP的患者年龄(OR:1.08,95%CI) 1.02-1.15,p = 0.007)和当前吸烟习惯(OR:5.09,95%CI 1.00-25.74,p = 0.049)。多元线性回归分析确定了高龄,男性和糖尿病是NCP数量的独立预测因子。由以上四个预测变量计算出的新分数显示出诊断NCP和≥2个NCP的准确度,接收器工作曲线下的面积分别为0.738和0.736。结论:CACS为零,高龄,糖尿病和当前吸烟习惯的日本男性患者可能患有NCP。

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