Orakzai Sarwar H, Nasir Khurram, Blaha Michael, Blumenthal Roger S, Raggi Paolo
Department of Cardiology, Baylor College of Medicine, St. Luke's Episcopal Hospital/Texas Heart Institute, Houston, TX, United States.
Atherosclerosis. 2009 Jan;202(1):289-95. doi: 10.1016/j.atherosclerosis.2008.03.014. Epub 2008 Mar 25.
Growing evidence shows that non-high-density lipoprotein cholesterol (Non-HDL-C) is a strong and independent predictor of cardiovascular disease (CVD). Few studies have assessed the association between traditional lipid measures and subclinical end points. In this study we analyzed the association of Non-HDL-C, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides (TG) with coronary artery calcium (CAC), a marker of subclinical atherosclerosis.
The study population consisted of 1611 consecutive asymptomatic individuals (67% men, mean age: 53+/-10 years) referred to a single electron beam tomography (EBT) facility for CAC screening. Multivariate logistic regression was used to test the association between increasing quartiles of lipid levels and presence of CAC score (CACS)>0 and CACS>or=100, with the lowest levels (first quartile) of lipid values as reference.
Overall CACS of 0, 1-99, 100-399 and >or=400, were observed in 35%, 44%, 12% and 9% of the study subjects, respectively. The prevalence of CAC increased significantly across increasing quartiles of LDL-C, TG and Non-HDL-C (all p<0.0001), whereas CACS was significantly lower across increasing quartiles of HDL-C (p<0.001). In a multivariate model controlling for age, gender, race, cigarette smoking, hypertension, family history of coronary artery disease and obesity, there was a significant increase in the prevalence of CAC with increasing values of each lipid variable. In a multivariate model simultaneously controlling for increasing quartiles of the remaining lipid variables, only the association of Non-HDL-C with CACS>0 remained statistically significant (p=0.002). Similar results were observed with CACS>or=100 (p=0.038).
In this study Non-HDL-C was more strongly associated with subclinical atherosclerosis than all other conventional lipid values. These data suggests that Non-HDL-C may be an important treatment target in primary prevention.
越来越多的证据表明,非高密度脂蛋白胆固醇(Non-HDL-C)是心血管疾病(CVD)的一个强大且独立的预测指标。很少有研究评估传统血脂指标与亚临床终点之间的关联。在本研究中,我们分析了Non-HDL-C、低密度脂蛋白胆固醇(LDL-C)、高密度脂蛋白胆固醇(HDL-C)和甘油三酯(TG)与冠状动脉钙化(CAC)(亚临床动脉粥样硬化的一个标志物)之间的关联。
研究人群包括1611名连续的无症状个体(67%为男性,平均年龄:53±10岁),他们被转诊至一家单一的电子束断层扫描(EBT)机构进行CAC筛查。采用多变量逻辑回归来检验血脂水平四分位数增加与CAC评分(CACS)>0以及CACS≥100之间的关联,以血脂值的最低水平(第一四分位数)作为参照。
在研究对象中,CACS为0、1 - 99、100 - 399以及≥400的情况分别占35%、44%、12%和9%。随着LDL-C、TG和Non-HDL-C四分位数的增加,CAC的患病率显著上升(所有p<0.0001),而随着HDL-C四分位数的增加,CACS显著降低(p<0.001)。在一个控制了年龄、性别、种族、吸烟、高血压、冠状动脉疾病家族史和肥胖的多变量模型中,随着每个血脂变量值的增加,CAC的患病率显著上升。在一个同时控制其余血脂变量四分位数增加的多变量模型中,只有Non-HDL-C与CACS>0之间的关联仍具有统计学意义(p = 0.002)。对于CACS≥100也观察到了类似结果(p = 0.038)。
在本研究中,Non-HDL-C与亚临床动脉粥样硬化的关联比所有其他传统血脂值更强。这些数据表明,Non-HDL-C可能是一级预防中的一个重要治疗靶点。