Department of Cardiology, Erciyes University Faculty of Medicine, Kayseri, Turkey.
Department of Cardiology, Kayseri City Hospital, Kayseri, Turkey.
Angiology. 2021 Oct;72(9):829-835. doi: 10.1177/00033197211004392. Epub 2021 Mar 24.
We investigated the relationship between the C-reactive protein (CRP) to albumin ratio (CAR) and coronary collateral circulation (CCC) in stable coronary artery disease (CAD). Patients with stable CAD (n = 354) who underwent coronary angiography for suspected CAD and had a total occlusion ≥1 major coronary artery were included in the study. The participants were divided into 2 groups according to the Rentrop score as satisfactory CCC (Rentrop 2-3) and poor CCC (Rentrop 0-1). Patients who had poor CCC had a higher CRP, neutrophil/lymphocyte ratio (NLR), and CAR levels compared with those who had satisfactory CCC ( < .001, = .046, < .001, respectively). The CAR (odds ratio: 3.522, 95% CI: 2.515-4.932, < .001), CRP, NLR, and diabetes mellitus were independent predictors of poor CCC. In receiver operator characteristic curve (ROC) analysis, the optimal cutoff value of CAR to predict poor CCC was 1.27 (area under ROC curve = 0.735 [95% CI: 0.667-0.803], < .001). A raised CAR may be an independent predictor of poor CCC.
我们研究了 C 反应蛋白（CRP）与白蛋白比值（CAR）与稳定型冠状动脉疾病（CAD）患者冠状动脉侧支循环（CCC）之间的关系。本研究纳入了 354 例因疑似 CAD 而行冠状动脉造影且至少 1 条主要冠状动脉完全闭塞的稳定型 CAD 患者。根据Rentrop 评分，将患者分为两组：满意 CCC（Rentrop 2-3）和不满意 CCC（Rentrop 0-1）。与满意 CCC 患者相比，不满意 CCC 患者的 CRP、中性粒细胞/淋巴细胞比值（NLR）和 CAR 水平更高（<.001，=.046，<.001）。CAR（优势比：3.522，95%可信区间：2.515-4.932，<.001）、CRP、NLR 和糖尿病是不满意 CCC 的独立预测因素。在受试者工作特征曲线（ROC）分析中，CAR 预测不满意 CCC 的最佳截断值为 1.27（ROC 曲线下面积为 0.735[95%可信区间：0.667-0.803]，<.001）。升高的 CAR 可能是不满意 CCC 的独立预测因素。
