Kenan Toprak, Rüstem Yılmaz, Mustafa Kaplangoray, Tolga Memioğlu, Mehmet İnanır, Selahattin Akyol, Kaya Özen, Asuman Biçer, Recep Demirbağ
{"title":"比较尿酸/白蛋白比值与其他炎症指标对稳定型冠心病患者冠状动脉循环的影响。","authors":"Kenan Toprak, Rüstem Yılmaz, Mustafa Kaplangoray, Tolga Memioğlu, Mehmet İnanır, Selahattin Akyol, Kaya Özen, Asuman Biçer, Recep Demirbağ","doi":"10.1177/02676591231202105","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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 (<i>p</i> < .05, for all). UAR negatively correlated with rentrop classification (r = -0.383, <i>p</i> < .001). In multivariate regression analysis, MHR, NLR, SII and UAR were determined as independent predictors for poor CCC (<i>p</i> < .05, for all). The ability of UAR to predict poor CCC was superior to uric acid and albumin alone (<i>p</i> < .0001, for both). In addition, UAR was found to be superior to other inflammation-based markers in predicting poor CCC (<i>p</i> < .005, for all).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":49707,"journal":{"name":"Perfusion-Uk","volume":" ","pages":"1440-1452"},"PeriodicalIF":1.1000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of the effect of uric acid/albumin ratio on coronary colleteral circulation with other inflammation-based markers in stable coronary artery disease patients.\",\"authors\":\"Kenan Toprak, Rüstem Yılmaz, Mustafa Kaplangoray, Tolga Memioğlu, Mehmet İnanır, Selahattin Akyol, Kaya Özen, Asuman Biçer, Recep Demirbağ\",\"doi\":\"10.1177/02676591231202105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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 (<i>p</i> < .05, for all). UAR negatively correlated with rentrop classification (r = -0.383, <i>p</i> < .001). In multivariate regression analysis, MHR, NLR, SII and UAR were determined as independent predictors for poor CCC (<i>p</i> < .05, for all). The ability of UAR to predict poor CCC was superior to uric acid and albumin alone (<i>p</i> < .0001, for both). In addition, UAR was found to be superior to other inflammation-based markers in predicting poor CCC (<i>p</i> < .005, for all).</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":49707,\"journal\":{\"name\":\"Perfusion-Uk\",\"volume\":\" \",\"pages\":\"1440-1452\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Perfusion-Uk\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/02676591231202105\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/9/6 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Perfusion-Uk","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/02676591231202105","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/9/6 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Comparison of the effect of uric acid/albumin ratio on coronary colleteral circulation with other inflammation-based markers in stable coronary artery disease patients.
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.
期刊介绍:
Perfusion is an ISI-ranked, peer-reviewed scholarly journal, which provides current information on all aspects of perfusion, oxygenation and biocompatibility and their use in modern cardiac surgery. The journal is at the forefront of international research and development and presents an appropriately multidisciplinary approach to perfusion science.