2025年3月17日 周一
首页 > 按月查看>2022年第12月 >1051-1057. DOI:10.20039/j.cnki.10073949.2022.12.007
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血清锌、铜/锌比值与慢性肾脏病患者冠状动脉钙化的相关性
作者:
作者单位:

(1.安徽医科大学第二附属医院 肾脏内科,安徽省合肥市 230601;2.安徽医科大学第二附属医院 医学影像科,安徽省合肥市 230601)

作者简介:

朱钰钰,硕士,医师,研究方向为慢性肾脏病及血管钙化,E-mail:zhuyvyv@126.com。通信作者王德光,博士,主任医师,博士研究生导师,研究方向为狼疮性肾炎、慢性肾脏病、血管钙化进展及发病机制,E-mail:wangdeguang@ahmu.edu.cn。

基金项目:

安徽省自然科学基金项目(2008085MH244)；安徽医科大学第二附属医院国家自然科学基金孵育计划项目(2020GMFY04)；安徽医科大学第二附属医院临床研究培育计划项目(2020LCZD01)；安徽医科大学校科研基金项目(2019xkj140)；安徽医科大学2020年临床与前期学科共建项目(2020lcxk022)


Correlation of blood zinc, copper/zinc ratio and coronary artery calcification in patients with chronic kidney disease
Author:
Affiliation:

1.Department of Nephrology, the Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230601, China;2.Department of Radiology, the Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230601, China)

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    摘要:

    目的]探讨血清锌、铜及铜/锌比值与慢性肾脏病患者冠状动脉钙化(CAC)的相关性。 [方法]采用横断面分析调查方法,对274例慢性肾脏病患者进行研究,根据冠状动脉钙化评分将患者分为钙化组和非钙化组,比较两组患者临床资料及实验室指标。采用Spearman相关性分析CAC相关因素,二元Logistic回归分析CAC危险因素,ROC曲线探讨血清锌、铜、铜/锌比值对CAC的预测价值。 [结果]钙化组血清锌水平[(77.09±15.84) μmol/L]较非钙化组[(88.21±11.55) μmol/L]低,而血清铜[(13.99±3.76) μmol/L)]、铜/锌比值(0.19±0.08)较非钙化组[(12.10±3.99) μmol/L、(0.14±0.05)]高。Spearman相关性分析显示,血清锌水平(r＝－0.387,P＜0.001)与冠状动脉钙化积分呈负相关,血清铜(r＝0.356,P＜0.001)、铜/锌比值(r＝0.477,P＜0.001)与冠状动脉钙化积分呈正相关。二元Logistic回归分析结果表明年龄(OR＝1.085,P＜0.001)、血清铜(OR＝1.114,P＜0.001)和铜/锌比值(OR＝1.143,P＜0.001)是冠状动脉钙化的独立危险因素,而血清锌(OR＝0.948,P＜0.001)是冠状动脉钙化的保护因素。ROC曲线分析显示锌、铜、铜/锌比值预测CAC的AUC分别为0.301、0.650、0.716(P＜0.001)。 [结论]慢性肾脏病患者伴有高龄、高水平铜和铜/锌比值以及低水平锌时发生CAC的风险较高,且铜/锌比值可以更好地预测CAC。

    Abstract:

    Aim To explore the relationship of serum zinc, copper, copper/zinc ratio and coronary artery calcification (CAC) in patients with chronic kidney disease. Methods Using the cross-sectional analysis method, 274 patients with chronic kidney disease were studied. According to the coronary artery calcification scores, the patients were divided into calcified group and non-calcified group, and the clinical data and laboratory indicators of the two groups were compared. Spearman correlation analysis was used to analyze CAC related factors, binary Logistic regression was used to analyze CAC risk factors, and ROC curve was used to explore the predictive value of zinc, copper, and copper/zinc ratio on CAC. Results The serum zinc level of calcified group ((77.09±15.84) μmol/L) was lower than that of non-calcified group ((88.21±11.55) μmol/L). Serum copper ((13.99±3.76) μmol/L) and copper/zinc ratio (0.19±0.08) were higher in calcified group than those of non-calcified group ((12.10±3.99) μmol/L, (0.14±0.05)). Spearman correlation analysis showed that serum zinc level (r＝－0.387, P＜0.001) was negatively correlated with coronary artery calcification scores (CACS). Serum copper(r＝0.356, P＜0.001) and copper/zinc ratio (r＝0.477, P＜0.001) were positively correlated with CACS. Binary Logistic regression analysis showed age (OR＝1.085, P＜0.001), serum copper (OR＝1.114,P＜0.001) and copper/zinc ratio (OR＝1.143, P＜0.001) were risk factors for CAC. And serum zinc (OR＝0.948, P＜0.001) was protective factor for CAC. ROC curve analysis showed that the AUC of zinc, copper, and copper/zinc ratio were 0.1,0.0,0.716 in predicting CAC (P＜0.001). Conclusion Patients with chronic kidney disease with high age, high levels of copper and copper/zinc ratio, and low zinc have higher risk of CAC, and the copper/zinc ratio has better predictive value for the occurrence of CAC.

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朱钰钰,张丹凤,李欢,陶舒曼,王德光.血清锌、铜/锌比值与慢性肾脏病患者冠状动脉钙化的相关性[J].中国动脉硬化杂志,2022,30(12):1051~1057.

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  • 收稿日期:2022-01-26
  • 最后修改日期:2022-03-30
  • 在线发布日期: 2022-12-13

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