李志栋, 赵丽, 程艳蓉, 孙冰岩, 张帅, 安娜. 脂质蓄积指数对冠心病的预测价值[J]. 心脏杂志, 2022, 34(1): 41-43. DOI: 10.12125/j.chj.202104019
    引用本文: 李志栋, 赵丽, 程艳蓉, 孙冰岩, 张帅, 安娜. 脂质蓄积指数对冠心病的预测价值[J]. 心脏杂志, 2022, 34(1): 41-43. DOI: 10.12125/j.chj.202104019
    Zhi-dong LI, LI ZHAO, Yan-rong CHENG, Bing-yan SUN, Shuai ZHANG, Na AN. Predictive value of lipid accumulation product for coronary artery disease[J]. Chinese Heart Journal, 2022, 34(1): 41-43. DOI: 10.12125/j.chj.202104019
    Citation: Zhi-dong LI, LI ZHAO, Yan-rong CHENG, Bing-yan SUN, Shuai ZHANG, Na AN. Predictive value of lipid accumulation product for coronary artery disease[J]. Chinese Heart Journal, 2022, 34(1): 41-43. DOI: 10.12125/j.chj.202104019

    脂质蓄积指数对冠心病的预测价值

    Predictive value of lipid accumulation product for coronary artery disease

    • 摘要:
        目的   探讨脂质蓄积指数(lipid accumulation product,LAP)对冠心病发病的预测价值。
        方法   入选自2018年1月~2019年12月于秦皇岛军工医院行选择性冠状动脉造影术患者550例。根据造影结果分为对照组(n=259, 为造影阴性者)和冠心病组(n=291, 均为选择性冠状动脉造影阳性)。所有患者均测量腰围、血糖、血脂等相关生化指标,计算LAP,比较两组间生化指标及LAP的差异,通过Logistic回归探讨LAP与冠心病发病的关系,计算受试者工作特征曲线(ROC)分析LAP预测冠心病的价值及截断点。
        结果   冠心病组LAP高于对照组(P<0.05);通过二元Logistic回归分析,在校正性别、年龄、体质量指数(BMI)、吸烟、饮酒、低密度脂蛋白胆固醇(LDL-C)、高密度脂蛋白胆固醇(HDL-C)、甘油三酯(TG)和总胆固醇(TC)后,LAP每增加一个标准差,患病风险增加1.27倍(OR=1.27, 95% CI: 1.21-1.33, P<0.01);LAP的受试者工作特征曲线(ROC)下面积(AUC)为0.70,截断点为45.57, 灵敏度为73.2%,特异度为57.9%。
        结论   LAP对预测冠心病有一定价值。

       

      Abstract:
        AIM   To explore the predictive value of lipid accumulation product(LAP) in coronary artery disease(CAD).
        METHODS   A total of 550 cases undergoing selective coronary angiography (SCA) in Qinhuangdao Military Hospital from January 2018 to December 2019 were recruited. According to the results of SCA, 550 cases were divided into CAD group with angiography positive (n=291) and control group with angiography negative (n=259). The waist circumference (WC) and biochemical indexes of all the patients were recorded, including blood fat and blood glucose. Binary logistic regression was used for the association between LAP and CAD and the receiver operating characteristic curve (ROC) was used for the value and cut-off point of LAP in predicting CAD.
        RESULTS   LAP in CAD group was significantly higher than that in control group(P<0.05).The binary logistic regression analysis showed that for each one additional standard deviation of LAP. The risk of CAD increased 1.27 times after adjustment for gender,age, body mass index(BMI), smoking, drinking, LDL-C, HDL-C, TG and TC. The ROC showed that the area of the curve(AUC)was 0.70. The optimal cut-off point was 45.57.
        CONCLUSION  The LAP has a certain value in predicting CAD.

       

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