Cardiovascular Center and Cardiology Division, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Cardiovascular Center and Cardiology Division, St. Paul's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Diabetes Care. 2017 Sep;40(9):1241-1248. doi: 10.2337/dc16-1844. Epub 2017 Jun 29.
We investigated the efficacy of coronary computed tomography angiography (CCTA) in predicting the long-term risks in asymptomatic patients with type 2 diabetes and compared it with traditional risk factors.
We analyzed 933 patients with asymptomatic type 2 diabetes who underwent CCTA. Stenosis was considered obstructive (≥50%) in each coronary artery segment using CCTA. The extent and severity scores for coronary artery disease (CAD) were evaluated. The primary end point was major adverse cardiovascular events (MACE), including all-cause mortality, nonfatal myocardial infarction, and late coronary revascularization during a mean follow-up period of 5.5 ± 2.1 years.
Ninety-four patients with MACE exhibited obstructive CAD with a greater extent and higher severity scores ( < 0.001 for all). After adjusting for confounding risk factors, obstructive CAD remained an independent predictor of MACE (hazard ratio 3.11 [95% CI 2.00-4.86]; < 0.001]). The performance of a risk prediction model based on C-statistics was significantly improved (C-index 0.788 [95% CI 0.747-0.829]; = 0.0349) upon the addition of a finding of obstructive CAD using CCTA to traditional risk factors, including age, male, hypertension, hyperlipidemia, smoking, estimated glomerular filtration rate, and HbA. Both integrated discrimination improvement (IDI) and net reclassification improvement (NRI) analyses further supported this finding (IDI 0.046 [95% CI 0.020-0.072], < 0.001, and NRI 0.55 [95% CI 0.343-0.757], < 0.001). In contrast, the risk prediction power of the coronary artery calcium score remained unimproved (C-index 0.740, = 0.547).
Based on our data, the addition of CCTA-detected obstructive CAD to models that include traditional risk factors improves the predictions of MACE in asymptomatic patients with type 2 diabetes.
我们研究了冠状动脉计算机断层扫描血管造影(CCTA)在预测无症状 2 型糖尿病患者长期风险方面的疗效,并将其与传统危险因素进行了比较。
我们分析了 933 例无症状 2 型糖尿病患者的 CCTA 检查结果。使用 CCTA 评估每个冠状动脉节段的狭窄程度(≥50%为阻塞性狭窄)。评估冠状动脉疾病(CAD)的程度和严重程度评分。主要终点为主要不良心血管事件(MACE),包括全因死亡率、非致死性心肌梗死和随访期间平均 5.5±2.1 年的晚期冠状动脉血运重建。
94 例 MACE 患者存在阻塞性 CAD,其程度更大,严重程度评分更高(所有 P<0.001)。在校正混杂危险因素后,阻塞性 CAD 仍然是 MACE 的独立预测因素(风险比 3.11[95%CI 2.00-4.86];P<0.001])。基于 C 统计量的风险预测模型的性能通过在传统危险因素(包括年龄、男性、高血压、高血脂、吸烟、估计肾小球滤过率和 HbA)的基础上加入 CCTA 检测到的阻塞性 CAD 而显著改善(C 指数 0.788[95%CI 0.747-0.829];P=0.0349)。综合判别改善(IDI)和净重新分类改善(NRI)分析进一步支持这一发现(IDI 0.046[95%CI 0.020-0.072],P<0.001,NRI 0.55[95%CI 0.343-0.757],P<0.001)。相比之下,冠状动脉钙评分的风险预测能力没有提高(C 指数 0.740,P=0.547)。
根据我们的数据,将 CCTA 检测到的阻塞性 CAD 加入到包括传统危险因素的模型中,可以提高无症状 2 型糖尿病患者 MACE 的预测能力。