Combining uric acid with lipoprotein a predicts the atherosclerotic renal artery stenosis in high risk patients
10.3760/cma.j.issn.1001-7097.2012.05.004
- VernacularTitle:尿酸联合脂蛋白a预测动脉粥样硬化高危人群肾动脉狭窄
- Author:
Peng XIA
;
Ling QIU
;
Yong ZENG
;
Limeng CHEN
;
Xuejun ZENG
;
Xuemei LI
;
Xuewang LI
- Publication Type:Journal Article
- Keywords:
Atherosclerosis,Renal artery obstruction;
Uric acid;
Lipoprotein a;
C-reactive protein
- From:
Chinese Journal of Nephrology
2012;28(5):367-370
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the value of uric acid (UA) combined with lipoprotein a [Lp(a)] in prediction of atherosclerotic renal artery stenosis (ARAS) in high risk population with atherosclerosis. Methods A total of 190 patients who were highly suspected for ARAS and received renal artery angiography in Peking Union Medical College Hospital from October 2008 to April 2011 were enrolled in the study.Among these patients,120 were diagnosed as coronary arterial disease (CAD) by coronary artery angiography and 89 were diagnosed as ARAS.The control group included 180 people undergoing routine healthy examination in our hospital.The basic information and lab results such as UA,Lp (a),total cholesterol (TC),triacylglycerol (TG),HDL,LDL,Scr and C-reactive protein (CRP) were collected.Logistic regression analysis was used to identify possible risk factors of ARAS and to establish a new tool to predict ARAS in the high risk population. Results The levels of Scr,UA,Lp (a) and CRP in ARAS cases were significantly elevated compared to control people.For high risk population,there were no significant differences in Scr,lipids,UA and CRP between ARAS cases and non-ARAS cases.Logistic regression analysis showed that UA level＞344 μmol/L was correlated to ARAS independently.Using UA level＞344 μmol/L and Lp (a) level＞242 mg/L as a predicting marker for ARAS in high risk population,the specificity was 96.0％,the positive likelihood ratio was 5.45 (P=0.001),and the odds ratio was 6.78,95％CI (1.90～24.2) (P=0.001). Conclusions In high risk population,the UA may be an independent correlating factor of ARAS.Combining UA with Lp(a) can predict the ARAS.
