检验医学 ›› 2023, Vol. 38 ›› Issue (6): 584-589.DOI: 10.3969/j.issn.1673-8640.2023.06.015

• 论著 • 上一篇    下一篇

血脂水平在冠心病患者冠状动脉狭窄评估和治疗中的价值

乌有弘1, 宋云霄2, 朱勇1(), 葛雯2, 卞晓波2, 袁文华2, 赵智赟2   

  1. 1.上海市徐汇区中心医院放射科,上海 200031
    2.上海市徐汇区中心医院检验科,上海 200031
  • 收稿日期:2022-03-28 修回日期:2023-04-07 出版日期:2023-06-30 发布日期:2023-08-22
  • 通讯作者: 朱 勇,E-mail:oceanshanghai@163.com
  • 作者简介:乌有弘,男,1972年生,主治医师,主要从事临床放射影像诊断工作;
    宋云霄,男,1973年生,主任技师,主要从事临床生物化学检验工作。乌有弘和宋云霄对本研究具有同等贡献,并列为第一作者。

Role of blood lipid levels in assessment of coronary artery stenosis and its treatment in patients with coronary heart disease

WU Youhong1, SONG Yunxiao2, ZHU Yong1(), GE Wen2, BIAN Xiaobo2, YUAN Wenhua2, ZHAO Zhiyun2   

  1. 1. Department of Radiology,Shanghai Xuhui Central Hospital,Shanghai 200031,China
    2. Department of Clinical Laboratory,Shanghai Xuhui Central Hospital,Shanghai 200031,China
  • Received:2022-03-28 Revised:2023-04-07 Online:2023-06-30 Published:2023-08-22

摘要:

目的 探讨血脂相关指标在评估冠心病患者冠状动脉狭窄程度和治疗方案中的价值。方法 收集2018年1月—2022年12月上海市徐汇区中心医院确诊为冠心病的患者470例。按冠状动脉狭窄程度分为Ⅰ级组(80例)、Ⅱ级组(137例)、Ⅲ级组(204例)、Ⅳ级组(49例);按是否需接受外科/介入治疗分为治疗组(260例)和非治疗组(210例)。检测所有研究对象的低密度脂蛋白胆固醇(LDL-C)、三酰甘油(TG)、高密度脂蛋白胆固醇(HDL-C)、载脂蛋白(apo)A1、apo B、总胆固醇(TC)和脂蛋白(a)[Lp(a)]水平。采用Logistic回归分析评估冠心病患者冠状动脉狭窄或需治疗的危险因素。采用LASSO回归分析建立基于血脂指标的判断冠心病患者治疗与否的模型。采用受试者工作特征(ROC)曲线评估模型判断冠心病患者需接受治疗的效能。结果 Ⅰ级组、Ⅱ级组、Ⅲ级组和Ⅳ级组血清TC、TG、LDL-C、apo A1和apo B水平依次升高(P<0.05),血清HDL-C水平依次降低(P<0.05)。Ⅲ级组和Ⅳ级组血清Lp(a)水平显著高于Ⅱ级组和Ⅰ级组(P<0.001),Ⅱ级组显著高于Ⅰ级组(P<0.001)。Logistic回归分析结果显示,TG和LDL-C水平升高是狭窄Ⅱ级和Ⅲ级的危险因素(P<0.05),HDL-C水平降低是狭窄Ⅱ级和Ⅲ级的危险因素(P<0.05),TC水平升高是狭窄Ⅲ级和Ⅳ级的危险因素(P<0.05)。治疗组血清TC、TG、LDL-C、apo A1、apo B和Lp(a)水平显著高于非治疗组(P<0.001),HDL-C水平显著低于非治疗组(P<0.001)。Logistic回归分析结果显示,TC、TG、LDL-C、apo A1、apo B和Lp(a)水平升高和HDL-C水平降低均是冠心病患者需接受治疗的危险因素(P<0.01)。LASSO回归分析结果显示,基于TC、TG和Lp(a)的联合检测模型判断冠心病患者需接受治疗的曲线下面积为0.939。结论 血脂相关指标可用于评估冠状动脉狭窄程度,并可作为指导临床进行干预性治疗的潜在指标。

关键词: 血脂, 冠状动脉狭窄, 冠心病, 治疗

Abstract:

Objective To investigate the value of blood lipid-related indexes in assessing the degree of coronary artery stenosis and treatment in patients with coronary heart disease. Methods Totally,470 patients diagnosed with coronary heart disease in Shanghai Xuhui Central Hospital were collected from January 2018 to December 2022. According to the degree of coronary artery stenosis,the patients were classified into grade Ⅰ group(80 cases),grade Ⅱ group(137 cases),grade Ⅲ group(204 cases) and grade Ⅳ group(49 cases). The patients were classified into treatment groups(260 cases) and non-treatment groups(210 cases) according to whether they needed surgical or interventional treatment. The levels of low-density lipoprotein cholesterol(LDL-C),triglyceride(TG),high-density lipoprotein cholesterol(HDL-C),apolipoprotein(apo) A1,apo B,total cholesterol(TC) and lipoprotein(a) [Lp(a)] were determined. Logistic regression analysis was used to evaluate the risk factors for coronary artery stenosis or treatment in patients with coronary heart disease. LASSO regression analysis was used to establish a model for judging the treatment of coronary heart disease patients based on blood lipid indicators. Receiver operating characteristic(ROC) curve was used to evaluate the model's efficacy in determining the need for treatment in patients with coronary heart disease. Results The levels of TC,TG,LDL-C,apo A1 and apo B in grade Ⅰ group,grade Ⅱ group,grade Ⅲ group and grade Ⅳ group were increased successively(P<0.05),and serum HDL-C levels were decreased successively(P<0.05). Lp(a) levels in grade Ⅲ and Ⅳ group were higher than those in grade Ⅰ and Ⅱ groups(P<0.001),and that in grade Ⅱ group was higher than that in grade Ⅰ group(P<0.001). Logistic regression analysis showed increased TG and LDL-C levels were risk factors for grade Ⅱ and Ⅲ stenosis(P<0.05). Decreased HDL-C level was a risk factor for grade Ⅱ and Ⅲ stenosis(P<0.05),and increased TC level was a risk factor for grade Ⅲ and Ⅳ stenosis(P<0.05). The serum levels of TC,TG,LDL-C,apo A1,apo B and Lp(a) in treatment group were higher than those in non-treatment group(P<0.001),and HDL-C levels were lower in non-treatment group(P<0.001). Logistic regression analysis showed that increased TC,TG,LDL-C,apo A1,apo B and Lp(a) levels and decreased HDL-C levels were risk factors for coronary heart disease needing treatment(P<0.01). LASSO regression analysis showed that the area under curve of the combined determination model based on TC,TG and Lp(a) for predicting the need for treatment in patients with coronary heart disease was 0.939. Conclusions Blood lipid-related indexes can be used to evaluate the degree of coronary artery stenosis and can be used as potential indicators to guide clinical intervention treatment.

Key words: Blood lipid, Coronary artery stenosis, Coronary heart disease, Treatment

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