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

• Published in: Perfusion 2024-10, Vol.39 (7), p.1440-1452
• Main Authors: Toprak, Kenan, Yılmaz, Rüstem, Kaplangoray, Mustafa, Memioğlu, Tolga, İnanır, Mehmet, Akyol, Selahattin, Özen, Kaya, Biçer, Asuman, Demirbağ, Recep
• Format: Article
• Language: English
• Subjects: Aged; Albumin; Albumins; Angina; Angina pectoris; Angiography; Biomarkers; Biomarkers - blood; C-reactive protein; Cardiovascular disease; Cardiovascular diseases; Cholesterol; Classification; Coronary Angiography - methods; Coronary artery disease; Coronary Artery Disease - blood; Coronary Circulation; Coronary vessels; Female; Heart diseases; High density lipoprotein; Humans; Inflammation; Inflammation - blood; Leukocytes (neutrophilic); Lymphocytes; Male; Middle Aged; Monocytes; Occlusion; Population studies; Predictions; Regression analysis; Retrospective Studies; Uric acid; Uric Acid - blood; Vein & artery diseases
• ISSN: 0267-6591; 1477-111X; 1477-111X
• DOI: 10.1177/02676591231202105

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.