摘要
目的探讨血尿酸水平对冠状动脉狭窄程度的评价价值。方法随机选择2017年1月—2017年6月400例行冠状动脉造影病人,其中冠状动脉狭窄程度<50%病人79例为对照组,确诊为冠心病的病人321例为冠心病组。根据SYNTAX评分将冠心病组病人分为低危组、中危组和高危组。应用Logistic回归分析分析样本血尿酸水平与冠状动脉狭窄程度的相关性。结果低危组、中危组和高危组病人血尿酸水平与冠状动脉狭窄程度无明显相关性(P>0.05)。亚组分析显示,男性病人血尿酸水平与冠状动脉狭窄程度无明显相关性(P>0.05),而女性病人血尿酸水平与冠状动脉狭窄程度有明显相关性(OR=0.186,95%CI=0.060~0.573,P<0.01)。结论女性冠心病病人血尿酸水平与冠状动脉狭窄程度有关,血尿酸水平可用于预测女性冠心病病人冠状动脉狭窄程度。
Objective To investigate the value of serum uric acid in evaluating the degree of coronary artery stenosis.Methods A total of 400 patients who underwent coronary angiography from January to June,2017 were enrolled. Among these patients,79 with coronary artery stenosis 50% were enrolled as control group,and 321 who were diagnosed with coronary heart di-sease( CHD) were enrolled as CHD group and further divided into low-,medium-,and high-risk groups according to the SYNTAX score. Alogistic regression analysis was used to investigate the correlation between serum uric acid level and the degree of coronary artery stenosis. Results In the low-,medium-,and high-risk groups,there was no significant correlation between serum uric acid level and the degree of coronary artery stenosis( P〈0.05). The subgroup analysis showed that there was no significant correlation between serum uric acid level and the degree of coronary artery stenosis in male patients( P〈0.05),while serum uric acid le-velwas significantly correlated with the degree of coronary artery stenosis in female patients( OR = 0.186,95% CI = 0.060-0.573,P〈0.01). Conclusion Serum uric acid level is significantly correlated with coronary artery stenosis in female patients,and therefore,serum uric acid level can be used to predict the degree of coronary artery stenosis in female patients with CHD.
作者
潘志然
于海初
葛均华
郭俊杰
张婷
PAN Zhiran, YU Haichu, GE Junhua, GUO Junjie, ZHANG Ting(Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao 266003, Chin)
出处
《精准医学杂志》
2018年第3期267-269,273,共4页
Journal of Precision Medicine
基金
青岛市科技局应用基础研究项目(81200202)
关键词
尿酸
冠状动脉狭窄
冠状血管造影术
回归分析
Uric acid
Coronary stenosis
Coronary angiography
Regression analysis