The Systemic Immune-Inflammation Index May Predict the Coronary Slow Flow Better Than High-Sensitivity C-Reactive Protein in Patients Undergoing Elective Coronary Angiography.
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引用次数: 1
Abstract
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 (p=0.022, OR 1.151, 95% CI 1.121-1.299), low-density lipoprotein (p=0.018, OR 1.028, 95% CI 1.005-1.052), hsCRP (p=0.044, OR 1.161, 95% CI 1.004-1.343), and SII (p < 0.001, 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 (p < 0.001, 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.
方法:共197例患者(脑脊液102例;95例冠状动脉血流正常的患者被纳入回顾性研究。患者的临床和血管造影特征从医院记录中获得。结果:脑脊液患者SII、中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、高敏c反应蛋白(hsCRP)水平均高于对照组。在多变量分析中，体重指数(p=0.022, OR 1.151, 95% CI 1.121-1.299)、低密度脂蛋白(p=0.018, OR 1.028, 95% CI 1.005-1.052)、hsCRP (p=0.044, OR 1.161, 95% CI 1.004-1.343)和SII (p < 0.001, OR 1.015, 95% CI 1.003-1.026)是脑脊液的独立预测因子。ROC曲线分析SII预测CSF的最佳临界值>877 (p < 0.001, AUC = 0.892, 95% CI 0.848 ~ 0.936)。SII截断值预测脑脊液的敏感性为71.5%，特异性为92.4%。Spearman相关分析显示，TFC均值与PLR、NLR、hsCRP、SII呈正相关。结论:SII比hsCRP能更好地预测脑脊液的变化。
期刊介绍：
Cardiology Research and Practice is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies that focus on the diagnosis and treatment of cardiovascular disease. The journal welcomes submissions related to systemic hypertension, arrhythmia, congestive heart failure, valvular heart disease, vascular disease, congenital heart disease, and cardiomyopathy.
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