Background and Objectives. The coronary slow flow (CSF) is an angiographic finding characterized by delayed opacification of nonobstructive epicardial coronary arteries. Chronic inflammation has been suggested to be mainly responsible for the underlying mechanism of CSF. The systemic immune-inflammation index (SII) is a relatively novel inflammation-based biomarker, derived from counts of peripheral neutrophils, platelets, and lymphocytes, and has been shown to predict clinical outcomes in various malignancies and cardiovascular diseases. The aim of this study is to evaluate the relationship between SII and CSF. Methods. A total of 197 patients (102 patients with CSF; 95 patients with normal coronary flow) were included in this retrospective study. Clinical and angiographic characteristics of patients were obtained from hospital records. Results. Patients with CSF had higher SII, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte (PLR), and high-sensitivity C-reactive protein (hsCRP) levels compared with the control group. Body mass index (, OR 1.151, 95% CI 1.121–1.299), low-density lipoprotein (, OR 1.028, 95% CI 1.005–1.052), hsCRP (, OR 1.161, 95% CI 1.004–1.343), and SII (, OR 1.015, 95% CI 1.003–1.026) were independent predictors of CSF in the multivariable analysis. The optimal cutoff value of SII in predicting CSF was >877 in ROC curve analysis (, AUC = 0.892, 95% CI 0.848–0.936). This cutoff value of SII predicted the CSF with a sensitivity of 71.5% and specificity of 92.4%. Spearman correlation analysis showed a positive correlation between the mean TFC value and PLR, NLR, hsCRP, and SII. Conclusions. SII may be used as a better indicator for the prediction of CSF than hsCRP.

中文翻译：

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在接受择期冠状动脉造影术的患者中，全身免疫炎症指数可能比高敏 C 反应蛋白更好地预测冠状动脉慢血流

背景和目标。冠状动脉慢血流 (CSF) 是一种血管造影发现，其特征是非阻塞性心外膜冠状动脉的延迟混浊。慢性炎症被认为是 CSF 潜在机制的主要原因。全身免疫炎症指数 (SII) 是一种相对较新的基于炎症的生物标志物，来源于外周中性粒细胞、血小板和淋巴细胞的计数，已被证明可以预测各种恶性肿瘤和心血管疾病的临床结果。本研究的目的是评估 SII 和 CSF 之间的关系。方法. 该回顾性研究共纳入 197 名患者（102 名脑脊液患者；95 名冠状动脉血流正常患者）。从医院记录中获得患者的临床和血管造影特征。结果。与对照组相比，CSF 患者的 SII、中性粒细胞与淋巴细胞比率 (NLR)、血小板与淋巴细胞 (PLR) 和高敏 C 反应蛋白 (hsCRP) 水平更高。体重指数（, OR 1.151, 95% CI 1.121–1.299), 低密度脂蛋白 (,或 1.028, 95% CI 1.005–1.052), hsCRP (, OR 1.161, 95% CI 1.004–1.343), 和 SII (, OR 1.015, 95% CI 1.003–1.026) 是多变量分析中 CSF 的独立预测因子。在ROC曲线分析中，SII预测CSF的最佳截断值>877（, AUC = 0.892, 95% CI 0.848–0.936)。SII 的这个截止值预测 CSF 的灵敏度为 71.5%，特异性为 92.4%。Spearman 相关分析显示平均 TFC 值与 PLR、NLR、hsCRP 和 SII 呈正相关。结论。SII 可作为预测 CSF 比 hsCRP 更好的指标。