血清尿酸和胱抑素C水平与冠脉病变程度的相关性分析

Correlation Analysis between Serum Uric Acid and Cystatin C Levels and the Degree of Coronary Artery Disease

摘要: 目的：探讨血尿酸(UA)和胱抑素C (Cyc-c)与冠脉病变程度的相关性。方法：选取2019年1月至12月拟诊为“冠心病”于青岛大学附属医院住院患者320例。根据冠状动脉造影结果分为CHD−组100例，CHD+组220例，其中单支病变60例，双支病变60例及三支病变100例；且CHD+组应用SYNTAX评分系统评分。比较不同组病人UA和Cyc-C水平，并应用ROC曲线来预测两个指标对冠心病的预测能力。结果：1) CHD+组的UA和Cyc-c明显高于对照组，差别具有统计学意义(P < 0.05)。其中多支病变组的UA明显高于双支和单支病变组，差别具有统计学意义(P < 0.05)；多支病变组的Cyc-C明显高于单支和双支病变组，差别具有统计学意义(P < 0.05)；但单支病变组的Cyc-c水平和对照组未见明显统计学差异(P > 0.05)。2) 进行回归分析结果表明UA和Cyc-C是冠心病的独立影响因子。3) ROC曲线显示UA (AUC为0.858)和Cyc-c (AUC为0.753)对CHD有一定预测价值。结论：UA和Cyc-C可在一定程度上可以预测冠心病及冠脉病变的严重程度，为冠心病的诊治提供一些新的治疗思路。

Abstract: Objective: To explore the correlation between blood uric acid (UA) and cystatin C (Cyc-c) and the degree of coronary artery lesions. Methods: 320 inpatients being suspected as “coronary heart disease” in the Affiliated Hospital of Qingdao University from January to December 2019 were chosen. According to the results of coronary angiography, those inpatients were divided into two groups: CHD− group with 100 cases and CHD+ group with 220 cases including 60 cases of single-vessel disease, 60 cases of double-vessel disease and 100 cases of multiple-vessel disease. The SYNTAX scoring system was used for CHD+ group. The UA and Cyc-C levels of inpatients in the two groups were compared and the ROC curves were employed to predict the predictive ability of the two indicators for coronary heart disease. Results: The UA and Cyc-c levels of the CHD+ group were significantly higher than those of the control group, and the difference was statistically significant (P < 0.05), among which, the UA level of the multi-vessel disease group was significantly higher than that of the double-vessel and single-vessel disease groups, and the difference was statistically significant (P < 0.05); the Cyc-C level of the multi-vessel disease group was significantly higher than that of the last two disease groups, too, and the difference was also statistically significant (P < 0.05); but the Cyc-c level of the single-vessel disease group and the control group were not obviously statistically different (P > 0.05). The ROC curve showed that UA (AUC being 0.858) and Cyc-c (AUC being 0.753) had certain predictive value for CHD. Conclusions: UA and Cyc-C can predict the severity of coronary heart disease and coronary artery disease to a certain extent, and provide some new therapy ideas for the diagnosis and treatment of coronary heart disease.