Cai Gaojun, Shi Ganwei, Xue Sheliang, Lu Wei
Department of Cardiology, Wujin Hospital affiliated to Jiangsu University, Changzhou, Jiangsu Province, China.
Medicine (Baltimore). 2017 Sep;96(37):e8058. doi: 10.1097/MD.0000000000008058.
Dyslipidemia is one of the most important factors for coronary artery disease (CAD). The atherogenic index of plasma (AIP), a new comprehensive lipid index, might be a strong marker for predicting the risk of CAD.A hospital-based case-control study including 2936 CAD patients and 2451 controls was conducted in a Chinese population. Traditional lipid parameters were detected, and nontraditional lipid comprehensive indexes were calculated.Compared with controls, CAD patients had higher levels of total cholesterol (TC), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-C). By contrast, the level of high-density lipoprotein cholesterol (HDL-C) was lower in CAD patients. The values of nontraditional lipid profiles, including non-HDL-C, TC/HDL-C, LDL-C/HDL-C, non-HDL-C/HDL-C (atherogenic index, AI), TCTGLDL/HDL-C (lipoprotein combine index, LCI), and lg (TG/HDL-C) (AIP), were all significantly higher in the cases than in the controls. The results of Pearson correlation analyses indicated that AIP was positively and significantly correlated with TC (r = 0.125, P < .001), TG (r = 0.810, P < .001), LDL-C (r = 0.035, P < .001), non-HDL-C (r = 0.322, P < .001), TC/HDL-C (r = 0.669, P < .001), LDL-C/HDL-C (r = 0.447, P < .001), AI (r = 0.669, P < .001), and LCI (r = 0.688, P < .001) and was negatively correlated with age (r = -0.122, P < .001) and HDL-C (r = -0.632, P < .001). In the univariate logistic regression analysis, AIP was the lipid parameter that was most strongly associated with CAD, with an unadjusted odds ratio of 1.782 (95% confidence interval: 1.490-2.131, P < .001), for an increase of 1-SD. Multivariate logistic regression analyses revealed that AIP was an independent risk factor for CAD.AIP might be a strong and independent predictor for CAD in the Chinese Han population.
血脂异常是冠状动脉疾病（CAD）最重要的因素之一。血浆致动脉粥样硬化指数（AIP）是一种新的综合血脂指标，可能是预测CAD风险的有力标志物。在中国人群中开展了一项基于医院的病例对照研究，纳入2936例CAD患者和2451例对照。检测了传统血脂参数，并计算了非传统血脂综合指标。与对照组相比，CAD患者的总胆固醇（TC）、甘油三酯（TG）和低密度脂蛋白胆固醇（LDL-C）水平较高。相比之下，CAD患者的高密度脂蛋白胆固醇（HDL-C）水平较低。非传统血脂指标的值，包括非HDL-C、TC/HDL-C、LDL-C/HDL-C、非HDL-C/HDL-C（致动脉粥样硬化指数，AI）、TCTGLDL/HDL-C（脂蛋白综合指数，LCI）和lg（TG/HDL-C）（AIP），病例组均显著高于对照组。Pearson相关分析结果表明，AIP与TC（r = 0.125，P <.001）、TG（r = 0.810，P <.001）、LDL-C（r = 0.035，P <.001）、非HDL-C（r = 0.322，P <.001）、TC/HDL-C（r = 0.669，P <.001）、LDL-C/HDL-C（r = 0.447，P <.001）、AI（r = 0.669，P <.001）和LCI（r = 0.688，P <.001）呈正相关，与年龄（r = -0.122，P <.001）和HDL-C（r = -0.632，P <.001）呈负相关。在单因素逻辑回归分析中，AIP是与CAD关联最密切的血脂参数，每增加1个标准差，未调整的比值比为1.782（95%置信区间：1.490 - 2.131，P <.001）。多因素逻辑回归分析显示，AIP是CAD的独立危险因素。AIP可能是中国汉族人群中CAD的一个强有力的独立预测指标。
