Comparison of the effect of uric acid/albumin ratio on coronary colleteral circulation with other inflammation-based markers in stable coronary artery disease patients

Author:

Toprak Kenan1ORCID,Yılmaz Rüstem2ORCID,Kaplangoray Mustafa3,Memioğlu Tolga4,İnanır Mehmet4,Akyol Selahattin5,Özen Kaya6,Biçer Asuman1,Demirbağ Recep1

Affiliation:

1. Faculty of Medicine, Department of Cardiology, Harran University, Sanliurfa, Turkey

2. Faculty of Medicine, Department of Cardiology, Samsun University, Samsun, Turkey

3. Medical Faculty, Department of Cardiology, Şeyh Edebali University, Bilecik, Turkey

4. Medical Faculty, Department of Cardiology, Abant Izzet Baysal University, Bolu, Turkey

5. Department of Cardiology, Kartal Kosuyolu High Specialization Training and Research Hospital, İstanbul, Turkey

6. Department of Cardiology, Gazi Yaşargil Training and Research Hospital, Diyarbakır, Türkiye

Abstract

Background The Uric acid/Albumin ratio (UAR) has recently been identified as a prominent marker in cardiovascular diseases. In this study, we aimed to reveal the effect of UAR on coronary collateral circulation (CCC) in patients with stable coronary artery disease (CAD) patients by comparing it with conventional inflammation-based markers. Methods In this study, 415 consecutive patients who underwent coronary angiography for stable angina pectoris and were found to have chronic total occlusion in at least one coronary artery were retrospectively included. The study population was divided into two groups as good CCC (Rentrop 2–3) and poor CCC (Rentrop 0–1) according to the Rentrop classification, and the groups were compared in terms of UAR and other traditional inflammation-based markers. Results In the poor CCC group, C-reactive protein/albumin ratio (CAR), monocyte/high-density lipoprotein cholesterol ratio (MHR), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), systemic immune-inflammation index (SII) and UAR were found to be significantly high ( p < .05, for all). UAR negatively correlated with rentrop classification (r = −0.383, p < .001). In multivariate regression analysis, MHR, NLR, SII and UAR were determined as independent predictors for poor CCC ( p < .05, for all). The ability of UAR to predict poor CCC was superior to uric acid and albumin alone ( p < .0001, for both). In addition, UAR was found to be superior to other inflammation-based markers in predicting poor CCC ( p < .005, for all). Conclusion UAR was identified as a strong and independent predictor of CCC. In this context, UAR may be a useful biomarker in the risk prediction of patients with stable CAD.

Publisher

SAGE Publications

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Safety Research,Radiology, Nuclear Medicine and imaging,General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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