Yilmaz Yucel, Kelesoglu Saban
Department of Cardiology, Kayseri Education and Research Hospital, University of Health Sciences, Kayseri, Turkey.
Department of Cardiology, Erciyes University Faculty of Medicine, Kayseri, Turkey.
Angiology. 2024 Jun 1:33197241258529. doi: 10.1177/00033197241258529.
In this study, the correlation between pan-immune-inflammation value (PIV) and coronary collateral circulation (CCC) in patients with chronic coronary syndrome (CCS) was analyzed. The study included 663 patients with CCS who underwent coronary angiography and had coronary stenosis of ≥95% in at least one major coronary vessel. The participants were divided into two groups: good CCC (Rentrop score 2-3) and poor CCC (Rentrop score 0-1). PIV score was calculated as monocyte x platelet x neutrophil/lymphocyte count. When the patient groups who developed good and poor CCC were compared, neutrophil/lymphocyte ratio (NLR) ( < .001), C-reactive protein (CRP) levels, CRP/albumin ratio (CAR) ( < .001), systemic immune-inflammation index (SII) ( < .001), and PIV ( < .001) were higher in patients with poor CCC. In multivariate logistic regression analysis, age, SII, NLR, CRP, CAR, and PIV were found to be independent predictors of poor CCC ( < .001, for all). Receiver operating characteristic (ROC) analysis demonstrated that a cut-off value of 442.2 for PIV predicted poor CCC slightly better compared to other markers, with 76.8% sensitivity and 70.1% specificity (area under ROC curve = 0.808 (95% CI: 0.764-0.851), < .001). These findings suggest that PIV can be used as an independent predictor of CCC development.
在本研究中,分析了慢性冠状动脉综合征(CCS)患者的全免疫炎症值(PIV)与冠状动脉侧支循环(CCC)之间的相关性。该研究纳入了663例接受冠状动脉造影且至少一支主要冠状动脉血管狭窄≥95%的CCS患者。参与者被分为两组:良好CCC组(Rentrop评分2 - 3)和不良CCC组(Rentrop评分0 - 1)。PIV评分计算为单核细胞×血小板×中性粒细胞/淋巴细胞计数。比较发生良好和不良CCC的患者组时,不良CCC患者的中性粒细胞/淋巴细胞比值(NLR)(<.001)、C反应蛋白(CRP)水平、CRP/白蛋白比值(CAR)(<.001)、全身免疫炎症指数(SII)(<.001)和PIV(<.001)更高。在多因素逻辑回归分析中,发现年龄、SII、NLR、CRP、CAR和PIV是不良CCC的独立预测因素(所有P值均<.001)。受试者工作特征(ROC)分析表明,PIV的截断值为442.2时,与其他标志物相比,对不良CCC的预测稍好,敏感性为76.8%,特异性为70.1%(ROC曲线下面积 = 0.808(95%CI:0.764 - 0.851),<.001)。这些发现表明,PIV可作为CCC发展的独立预测指标。