Association of Uric Acid and C-reactive Protein with the Severity of Coronary Artery Disease Using SYNTAX Score and Clinical SYNTAX Score

Author:

Xing Yu,Guo Jing-Tao,Gai Lu-Yue,Liu Bo,Luo Dong-Lei

Abstract

Background: The SYNTAX score (SXscore), an anatomical-based scoring tool reflecting the complexity of coronary anatomy, has been associated with the mortality and prognosis of coronary artery disease (CAD). Clinical SYNTAX score (CSS), incorporating clinical factors further augmented the utility of the SXscore to longer-term risk. C-reactive protein (CRP) is related to SXscore. Serum uric acid (UA) is associated with atherosclerosis and CAD. However, serum uric acid combined with CRP may better predict the SXscore and CSS. Methods: A total of 208 patients (mean age 57.82 ± 9.39 years) with chest pain were included in this study. All selected subjects underwent coronary artery angiography and blood test. The relationship between serum UA, CRP and SXscore, and CSS were analyzed. Results: Age and CRP had a positive correlation with SXs and CSS. DM and fasting glucose correlated with SXscore and CSS respectively. In multivariate regression, serum UA, age, fasting glucose, and body mass index (BMI) were significant discriminant factors of high CSS. The predictive accuracy of CRP for SXscore >0 and high CSS using receiver operator characteristic curves was set at the cut off point of 0.205 mg/dL and 0.145 mg/dL respectively, (sensitivity 70.9% and 98%, specialty 48% and 23.2%). Conclusion: Serum CRP is correlated with SXscore and CSS, serum UA is independently associated with CSS. CRP predicts high CSS at a lower level than it predicts SXscore. Thus, serum CRP combined with serum UA may be useful to predict SXscore and CSS.

Publisher

Carden Jennings Publishing Co.

Subject

Cardiology and Cardiovascular Medicine,Surgery,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3