中国全科医学 ›› 2025, Vol. 28 ›› Issue (15): 1831-1839.DOI: 10.12114/j.issn.1007-9572.2024.0259

• 论著 • 上一篇    下一篇

冠心病患者血尿素氮与血清白蛋白比值与颈动脉斑块的相关性研究

绳菁煜, 刘凡凡, 马梅, 田霖, 刘雨桐, 刘凤敏, 高杉*(), 于春泉*()   

  1. 301617 天津市,天津中医药大学
  • 收稿日期:2024-08-10 修回日期:2024-12-15 出版日期:2025-05-20 发布日期:2025-03-21
  • 通讯作者: 高杉, 于春泉

  • 作者贡献:

    绳菁煜、刘凡凡负责设计试验、实施研究、撰写初稿;马梅负责采集数据、分析/解释数据;田霖、刘雨桐、刘凤敏采集数据、调查、执行操作;高杉、于春泉负责对文章的知识性内容作批评性审阅、获取研究经费、技术或材料支持

  • 基金资助:
    国家自然科学基金面上项目(82074140); 天津宏仁堂药业有限公司横向课题(HX2020-16); 国家中医药管理局—中医预防医学重点学科建设项目(zyyzdxk-2023008)

Association between Blood Urea Nitrogen to Serum Albumin Ratio and Carotid Plaque in Patients with Coronary Heart Disease

SHENG Jingyu, LIU Fanfan, MA Mei, TIAN Lin, LIU Yutong, LIU Fengmin, GAO Shan*(), YU Chunquan*()   

  1. Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
  • Received:2024-08-10 Revised:2024-12-15 Published:2025-05-20 Online:2025-03-21
  • Contact: GAO Shan, YU Chunquan

摘要: 背景 血尿素氮(BUN)与血清白蛋白(ALB)比值(BAR)是一种新兴的生物标志物,近年来被认为与多种心肺系统疾病的不良结局相关,但冠心病(CHD)患者的BAR与颈动脉斑块之间的关系目前尚不明确。 目的 探讨CHD患者BAR与颈动脉斑块之间的相关性。 方法 回顾性选取2014年1月—2019年9月天津市6家医院住院的CHD患者入院数据。BAR通过BUN/ALB计算。采用Logistic回归分析,评估CHD患者BAR与颈动脉斑块发生风险、斑块数量和斑块性质之间的相关性,并在校正混杂因素后行进一步分析。绘制BAR诊断颈动脉斑块发生风险的受试者工作特征(ROC)曲线,计算ROC曲线下面积(AUC)。 结果 共纳入10 808例CHD患者数据。其中8 158例患有颈动脉斑块,颈动脉斑块患病率为75.5%。将10 808例CHD患者数据按BAR的四分位数(Q1、Q2、Q3、Q4)分为4组。Q1组BAR≤-0.395 4,-0.395 4<Q2组BAR≤-0.158 7,-0.158 7<Q3组BAR≤0.132 4,Q4组BAR>0.132 4。与Q1组相比,经过多变量调整后,Q4组的BAR与颈动脉斑块形成的相关性最强(OR=1.512,95%CI=1.273~1.795,P<0.001)。CHD患者BAR诊断颈动脉斑块发生风险的AUC为0.612(95%CI=0.600~0.624)。女性群体中BAR水平与斑块之间有较强的相关性(OR=1.583,95%CI=1.260~1.989,P<0.001),老年群体中BAR与斑块之间有较强的相关性(OR=1.810,95%CI=1.459~2.246,P<0.001)。且BAR与颈动脉斑块的相关性不受高血压、高脂血症、糖尿病等疾病的影响。 结论 高水平的BAR与颈动脉斑块形成相关,且在女性、中老年人群中更显著。BAR升高可能有助于早期识别CHD患者颈动脉斑块的形成,从而避免主要不良心血管事件的发生。

关键词: 冠心病, 血尿素氮, 血清白蛋白, 颈动脉斑块, 影响因素分析, 天津市

Abstract:

Background

The ratio of blood urea nitrogen (BUN) to serum albumin (ALB) (BAR) is an emerging biomarker that has been recently recognized to associate with adverse outcomes in a variety of cardiorespiratory disorders. However, the relationship between BAR and carotid plaque in patients with coronary heart disease (CHD) is currently unclear.

Objective

To investigate the correlation between BAR and carotid plaque in CHD patients.

Methods

Admission medical data of CHD patients hospitalized in six hospitals in Tianjin from January 2014 to September 2019 were retrospectively analyzed. BAR was calculated by dividing BUN by ALB. Logistic regression analysis was used to evaluate the correlation of BAR with the occurrence, number and characteristics of carotid plaque in CHD patients before and after adjusting for confounding factors. Drew a receiver operating characteristic (ROC) curve for diagnosing the risk of carotid plaque occurrence using BAR, and calculate the area under the ROC curve (AUC) .

Results

A total of 10 808 cases of CHD were included. Among them, 8 158 cases suffered from carotid plaque with a prevalence of 75.5%. The data of 10 808 CHD cases were divided into four groups by quartiles of BAR (Q1, Q2, Q3, Q4) for baseline analysis: Q1 ≤ -0.395 4, -0.395 4< Q2 ≤ -0.158 7, -0.158 7 < Q3 ≤0.132 4, and Q4 > 0.132 4. Compared with Q1, the correlation between BAR and carotid plaque formation was more significant in Q4 after multivariate adjustment (OR=1.512, 95%CI=1.273-1.795, P<0.001). The AUC for diagnosing the risk of carotid plaque in CHD patients with BAR is 0.612 (95%CI=0.600-0.624). The correlation between BAR and plaque was more significant in the female population. (OR=1.583, 95%CI=1.260-1.989, P<0.001), the correlation between BAR and plaque was more significant in the older age group (OR=1.810, 95%CI=1.459-2.246, P<0.001). The significant correlation between BAR and carotid plaque was not affected by diseases such as hypertension, hyperlipidemia and diabetes.

Conclusion

High-level BAR is associated with carotid plaque formation, and which is more significant in women and middle-aged and elderly people. High-level BAR is helpful in an early identification of carotid plaque formation in CHD patients, thus avoiding the occurrence of major adverse cardiovascular events (MACEs) .

Key words: Coronary heart disease, Blood urea nitrogen, Serum albumin, Carotid artery plaque, Root cause analysis, Tianjin

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