尿酸白蛋白比值对冠状动脉慢血流的预测价值分析

Predictive Value of Uric Acid Albumin Ratio for Coronary Slow Flow Phenomenon

目的:本研究目的是评估尿酸白蛋白比值(UAR)与冠状动脉慢血流(CSF)的相关性,评估UAR对CSF的预测价值。方法:采用横断面、单中心研究,回顾性分析610名因胸痛在新疆医科大学心脏中心行冠脉造影患者,收集电子病历资料和冠脉造影结果,根据是否存在CSF分组。采用多模型校正的方法评估尿酸(UA)、白蛋白(ALB)以及UAR与CSF发生的相关性。通过ROC曲线及RCS曲线评估上述指标与CSF发生风险的关系。结果:相对于对照组,CSF组男性占比较高,而且吸烟、饮酒比例较高。CSF组体重指数(BMI)、血红蛋白(Hb)、天冬氨酸氨基转移酶(AST)、UA以及UAR水平偏高,ALB水平偏低(P均<0.05)。多模型校正Logistic回归分析提示高水平UA(OR:1.010,95%CI:1.007~1.013,P<0.001)、UAR(OR:1.513,95%CI:1.341~1.707,P<0.001)以及低水平ALB(OR:0.794,95%CI:0.733~0.860,P<0.001)是CSF发生的独立危险因素。ROC曲线分析提示UA、ALB以及UAR对CSF发生均有较好的预测价值,其中UAR表现最好(P均<0.05)。RCS曲线分析提示UAR与CSF发生风险整体表现为正相关趋势。结论:UAR与CSF相关,可能是预测CSF的有用生物标志物。

Objective:To investigate the correlation between uric acid albumin ratio(UAR)and coronary slow flow(CSF)and evaluate the predictive value of UAR for CSF.Methods:A retrospective analysis was conducted on 610 patients with chest pain who underwent coronary angiography at the Heart Center of Xinjiang Medical University.Electronic medical records and coronary angiography results were collected,and patients were grouped according to the presence or absence of CSF.Multivariable-adjusted methods were used to assess the correlation between uric acid(UA),albumin(ALB),and UAR and the occurrence of CSF.ROC curves and RCS curves were used to evaluate the relationship between the above indicators and CSF risk.Results:Compared with the control group,the CSF group had a higher proportion of males and higher rates of smoking and alcohol consumption.The CSF group had higher body mass index(BMI),hemoglobin(Hb),aspartate aminotransferase(AST),UA,and UAR levels,and lower ALB levels(P<0.05).Multivariable-adjusted logistic regression analysis showed that high UA levels(OR:1.010,95%CI:1.007-1.013,P<0.001),UAR(OR:1.513,95%CI:1.341-1.707,P<0.001),and low ALB levels(OR:0.794,95%CI:0.733-0.860,P<0.001)were independent risk factors for CSF.ROC curve analysis showed that UA,ALB,and UAR all had good predictive value for CSF,among which UAR had the best performance(P<0.05).RCS curve analysis showed that UAR and CSF risk were generally positively correlated.Conclusion:The results suggest that UAR is associated with CSF and may be a useful biomarker for predicting CSF.