64层螺旋CT冠状动脉成像检测不稳定斑块的危险因素分析

目的 探讨64层螺旋CT冠状动脉成像(64SCTA)检测冠状动脉粥样斑块的价值,分析形成不稳定斑块的危险因素.方法 选择112例住院冠心病患者行64SCTA和导管法冠状动脉造影,均检测血清内皮素-1、基质金属蛋白酶-9(MMP-9)、白介素-6(IL-6)、肿瘤坏死因子-α和超敏C反应蛋白(hs-CRP).以冠状动脉造影为标准评价64SCTA检测冠状动脉斑块的作用;根据检测正确的粥样斑块CT值将患者分为软斑块组(51例)和非软斑块组(61例),比较两组各检测指标的差异,分析软斑块形成的危险因素. 结果 64SCTA检测冠状动脉斑块的灵敏度为87.4%,特异度为87.1%,阳性预测值82.2%,阴性预测值91.0%.软斑块组与非软斑块组比较,MMP-9、IL-6、hs-CRP、冠状动脉病变数及诊断、性别和糖尿病的构成比差异有统计学意义.Logistic回归分析显示,MMP-9>5.231 ng/L(P=0.0215,OR=2.33,95%CI 1.13～4.79)、hs-CRP>3.583 mg/L(P=0.0008,OR=4.32,95%CI 1.84～10.15)和不稳定心绞痛(P=0.0339,0R=4.33,95%CI 1.12～16.77)为软斑块形成的危险因素.结论 64SCTA检测冠状动脉斑块价值较高,是目前无创方法检测冠状动脉斑块最为可靠的手段之一.MMP-9、hs-CRP和不稳定心绞痛为不稳定斑块的独立危险因素.

Study on risk factors for coronary artery plaque by 64-slice multi-detector computed tomography coronary angiography

Objective To explore the value of 64-slice multi-detector computed tomography coronary angiography (64SCTA) in detecting the coronary artery plaque and to analyze the risk factors for unstable plaque. Methods A total of 112 inpatients who had been diagnosed as coronary artery disease by 64SCTA received catheter coronary angiography (CAG). The levels of serum endothelin-1 (ET-1), matrix metalloproteinase-9 (MMP-9), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α) and high-sensitivity C-reactive protein (hs-CRP) were measured. The effect of 64SCTA in detecting the coronary artery plaque was evaluated as compared with CAG. The patients were divided into the soft plaque group (n=51) and non-soft plaque group (n=61) according to the CT value of correctly detected plaque. The differences in the above detection indexes between two groups and the risk factors for soft plaque forming were analyzed. Results The 64SCTA had 87.4% sensitivity and 87.1% specificity in detecting coronary artery plaque, the positive predictive value was 82.2% and the negative predictive value was 91.0%. There were significant differences between soft plaque group and non-soft plaque group in the levels of MMP-9, IL-6, hs-CRP, the number of coronary lesions and the composition ratios of gender, diagnosis and diabetes. Logistic regression analysis showed that MMP-9>5.231 ng/L (P=0.0215, OR=2.33, 95%CI 1.13-4.79), hs-CRP>3.583 mg/L (P=0.0008, OR=4.32, 95%CI 1.84-10.15) and unstable angina pectoris (P=0. 0339, OR=4.33, 95% CI 1.12-16.77) were the risk factors for soft plaque formation. Conclusions 64SCTA has highervalue in detecting the coronary artery plaque, and is one of most reliable means in non-invasive methods. MMP-9, hs-CRP and unstable angina pectoris are independent risk factors of plaque instability.