Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China.
Department of Cardiology, Xi 'An Da Xing Hospital, Xi 'an, 710000, Shanxi, China.
BMC Cardiovasc Disord. 2024 Aug 28;24(1):458. doi: 10.1186/s12872-024-04139-9.
Inflammation and immunity play important roles in the formation of coronary collateral circulation (CCC). The pan-immune-inflammation value (PIV) is a novel marker for evaluating systemic inflammation and immunity. The study aimed to investigate the association between the PIV and CCC formation in patients with chronic total occlusion (CTO).
This retrospective study enrolled 1150 patients who were diagnosed with CTO through coronary angiographic (CAG) examinations from January 2013 to December 2021 in China. The Cohen-Rentrop criteria were used to catagorize CCC formation: good CCC formation (Rentrop grade 2-3) and poor CCC formation group (Rentrop grade 0-1). Based on the tertiles of the PIV, all patients were classified into three groups as follows: P group, PIV ≤ 237.56; P group, 237.56< PIV ≤ 575.18; and P group, PIV > 575.18.
A significant relationship between the PIV and the formation of CCC was observed in our study. Utilizing multivariate logistic regression and adjusting for confounding factors, the PIV emerged as an independent risk factor for poor CCC formation. Notably, the restricted cubic splines revealed a dose-response relationship between the PIV and risk of poor CCC formation. In terms of predictive accuracy, the area under the ROC curve (AUC) for PIV in anticipating poor CCC formation was 0.618 (95% CI: 0.584-0.651, P < 0.001). Furthermore, the net reclassification index (NRI) and integrated discrimination index (IDI) for PIV, concerning the prediction of poor CCC formation, were found to be 0.272 (95% CI: 0.142-0.352, P < 0.001) and 0.051 (95% CI: 0.037-0.065, P < 0.001), respectively. It's noteworthy that both the NRI and IDI values were higher for PIV compared to other inflammatory biomarkers, suggesting its superiority in predictive capacity.
PIV was associated with the formation of CCC. Notably, PIV exhibited potential as a predictor for poor CCC formation and showcased superior predictive performance compared to other complete blood count-based inflammatory biomarkers.
炎症和免疫在冠状动脉侧支循环（CCC）的形成中起着重要作用。Pan-immune-inflammation value（PIV）是一种评估全身炎症和免疫的新型标志物。本研究旨在探讨 PIV 与慢性完全闭塞（CTO）患者 CCC 形成之间的关系。
本回顾性研究纳入了 2013 年 1 月至 2021 年 12 月期间在中国通过冠状动脉造影（CAG）检查诊断为 CTO 的 1150 例患者。采用 Cohen-Rentrop 标准对 CCC 形成进行分类：良好的 CCC 形成（Rentrop 分级 2-3）和较差的 CCC 形成组（Rentrop 分级 0-1）。根据 PIV 的三分位数，所有患者分为三组：P 组，PIV≤237.56；P 组，237.56<PIV≤575.18；P 组，PIV>575.18。
本研究观察到 PIV 与 CCC 形成之间存在显著关系。使用多变量逻辑回归并调整混杂因素后，PIV 成为较差 CCC 形成的独立危险因素。值得注意的是，受限立方样条显示 PIV 与较差 CCC 形成风险之间存在剂量反应关系。在预测准确性方面，PIV 预测较差 CCC 形成的 ROC 曲线下面积（AUC）为 0.618（95%CI：0.584-0.651，P<0.001）。此外，PIV 预测较差 CCC 形成的净重新分类指数（NRI）和综合判别指数（IDI）分别为 0.272（95%CI：0.142-0.352，P<0.001）和 0.051（95%CI：0.037-0.065，P<0.001）。值得注意的是，与其他炎症生物标志物相比，PIV 的 NRI 和 IDI 值更高，表明其在预测能力方面具有优势。
PIV 与 CCC 的形成有关。值得注意的是，PIV 作为预测较差 CCC 形成的指标具有潜力，并且与其他基于全血细胞计数的炎症生物标志物相比，其具有更好的预测性能。
