Department of Radiology, Polyclinic Sunce, Trnjanska cesta 108, 10000, Zagreb, Croatia.
Department of Medical Statistics, Epidemiology and Medical Informatics, School of Public Health Andrija Stampar, University of Zagreb, School of Medicine, Zagreb, Croatia.
Int J Cardiovasc Imaging. 2018 Oct;34(10):1647-1655. doi: 10.1007/s10554-018-1376-3. Epub 2018 May 25.
The aim of the study was to quantify the total coronary atherosclerotic burden in patients with suspected coronary artery disease (CAD) defined by coronary computed tomography adapted Leaman score (CT-LeSc) and to estimate its cut-off level for high coronary atherosclerotic burden. We enrolled 434 consecutive patients referred to coronary computed tomography angiography, of which 261 patients fulfilled the study inclusion criteria. Demographic and clinical characteristics, as well as CAD risk factors were obtained. CAD pre-test probabilities were estimated by the Diamond-Forrester model and Morise score. The coronary atherosclerotic burden was estimated using CT-LeSc. As a cut-off for a high coronary atherosclerotic burden, we used 3rd tercile (Tc3) (CT-LeSc ≥ 5.52). We evaluated the association of clinical characteristics and risk factors with Tc3 in univariate and multivariate analysis. There were 60.9% males and 39.1% females, 81% of patients had above-normal weight, 68.2% hypertension, 54.0% dyslipidemia, 15.3% diabetes mellitus, 12.3% positive smoking history and 11.9% had a family history of CAD. According to the Diamond-Forrester model and Morise score the majority of patients had intermediate risk, 59.7 and 52.8%, followed by the high-risk group, 36.0 and 34.4%, respectively. Age, dyslipidemia, hypertension and pre-test risk scores in the univariate analysis significantly predicted Tc3. In the multivariate analysis, male sex (p = 0.004), dyslipidemia (p = 0.002) and coronary calcium score (< 0.001) were identified as predictors of Tc3. CT-LeSc quantified the total coronary atherosclerotic burden and showed an association of risk factors and pre-test probabilities with Tc3.
本研究旨在通过冠状动脉计算机断层扫描改良 Leaman 评分(CT-LeSc)定量评估疑似冠心病(CAD)患者的总冠状动脉粥样硬化负担,并估算其用于高冠状动脉粥样硬化负担的截断值。我们纳入了 434 例连续转诊至冠状动脉计算机断层血管造影的患者,其中 261 例符合研究纳入标准。获取了人口统计学和临床特征以及 CAD 危险因素。使用 Diamond-Forrester 模型和 Morise 评分估算 CAD 术前概率。采用 CT-LeSc 评估冠状动脉粥样硬化负担。我们将第 3 个三分位数(Tc3)(CT-LeSc≥5.52)作为高冠状动脉粥样硬化负担的截断值。我们在单变量和多变量分析中评估了临床特征和危险因素与 Tc3 的相关性。男性占 60.9%,女性占 39.1%,81%的患者超重,68.2%患有高血压,54.0%患有血脂异常,15.3%患有糖尿病,12.3%有吸烟史,11.9%有 CAD 家族史。根据 Diamond-Forrester 模型和 Morise 评分,大多数患者具有中等风险(分别为 59.7%和 52.8%),其次是高风险组(分别为 36.0%和 34.4%)。在单变量分析中,年龄、血脂异常、高血压和术前风险评分显著预测 Tc3。在多变量分析中,男性(p=0.004)、血脂异常(p=0.002)和冠状动脉钙评分(<0.001)被确定为 Tc3 的预测因子。CT-LeSc 定量评估了总冠状动脉粥样硬化负担,并显示了危险因素和术前概率与 Tc3 的相关性。