Cho AJin, Jung Hyun Yon, Park Hayne Cho, Oh Jieun, Kim Juhee, Lee Young-Ki
Clin Nephrol. 2020 Mar;93(3):123-129. doi: 10.5414/CN109988.
Abdominal aortic calcification (AAC) can be assessed easily using a plain radiograph. We investigated the relationship between AAC assessed by plain radiography and coronary artery calcification (CAC) assessed by computed tomography (CT).
62 hemodialysis patients who underwent lumbar lateral radiography and multidetector computed tomography (MDCT) were included in this study. We used logistic regression analyses to identify an independent association between AAC and severe CAC (> 400), and assessed the diagnostic performance of the AAC and CAC scores for prediction of cardiovascular disease (CVD) using receiver-operating characteristic (ROC) analysis.
The mean age of participants was 55.3 ± 11.2 years, and 30 (48.4%) were men. 17 participants had a previous history of CVD. The mean dialysis duration was 4.3 ± 3.0 years. The mean AAC score was 3.6 ± 4.1. AAC scores were significantly positively correlated with CAC scores (r = 0.464, p < 0.001). In multivariate logistic analysis, AAC score (odds ratio (OR) 1.387, 95% confidence interval (CI) 1.117 - 1.723, p = 0.003) was independently associated with a severe CAC score (> 400). The areas under the ROC curve for CAC and AAC scores were 0.877 (95% CI 0.791 - 0.964, p < 0.001) and 0.723 (95% CI 0.570 - 0.876, p = 0.007), respectively.
A high AAC score on plain radiograph is an independent risk factor for severe CAC score on CT and can be used to predict CVD.
腹部主动脉钙化(AAC)可通过普通X线片轻松评估。我们研究了通过普通X线摄影评估的AAC与通过计算机断层扫描(CT)评估的冠状动脉钙化(CAC)之间的关系。
本研究纳入了62例行腰椎侧位X线摄影和多排螺旋计算机断层扫描(MDCT)的血液透析患者。我们使用逻辑回归分析来确定AAC与严重CAC(>400)之间的独立关联,并使用受试者操作特征(ROC)分析评估AAC和CAC评分对心血管疾病(CVD)预测的诊断性能。
参与者的平均年龄为55.3±11.2岁,30名(48.4%)为男性。17名参与者有CVD病史。平均透析时间为4.3±3.0年。平均AAC评分为3.6±4.1。AAC评分与CAC评分显著正相关(r = 0.464,p < 0.001)。在多变量逻辑分析中,AAC评分(优势比(OR)1.387,95%置信区间(CI)1.117 - 1.723,p = 0.003)与严重CAC评分(>400)独立相关。CAC和AAC评分的ROC曲线下面积分别为0.877(95%CI 0.791 - 0.964,p < 0.001)和0.723(95%CI 0.570 - 0.876,p = 0.007)。
普通X线片上的高AAC评分是CT上严重CAC评分的独立危险因素,可用于预测CVD。