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评估不同冠状动脉斑块类型中的全身免疫炎症指数和全身炎症反应指数。

Assessment of Systemic Immune-Inflammation Index and Systemic Inflammation-Response Index in Different Coronary Artery Plaque Types.

机构信息

Cardiology Department, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey.

Cardiology Department, Istanbul Training and Research Hospital, Istanbul, Turkey.

出版信息

Angiology. 2023 Jul;74(6):536-544. doi: 10.1177/00033197231158937. Epub 2023 Feb 19.

DOI:10.1177/00033197231158937
PMID:36803083
Abstract

Coronary computed tomography angiography can evaluate coronary arterial plaque composition with high resolution. We aimed to determine and compare the values of systemic immune-inflammation index (SII) and systemic inflammation-response index (SIRI) in different plaque types. Highest values of SIRI and SII were found in mixed plaque type followed by non-calcified plaque type. SII value of 463.07 predicted one-year major adverse cardiac events (MACE) with a sensitivity of 72.7% and specificity of 64.3% and SIRI value of 1.14 predicted one-year MACE with a sensitivity of 93% and specificity of 62%. Paired analysis of area under the curve (AUC) of the receiver operating characteristic curves showed that SIRI had higher AUC than coronary calcium score and SII. Univariate logistic regression results showed that age, creatinine level, coronary calcium score, SII, and SIRI were the independent predictors of one-year MACE. According to the results of multivariate regression analysis, after adjusting other factors, age, creatinine level, and SIRI were the independent predictors of one-year MACE. SIRI seemed to improve the risk prediction in coronary artery disease. Therefore, special attention may need to be paid to patients who have a high SIRI.

摘要

冠状动脉计算机断层扫描血管造影术可以用高分辨率评估冠状动脉斑块成分。我们旨在确定和比较不同斑块类型中系统性免疫炎症指数(SII)和系统性炎症反应指数(SIRI)的值。SIRI 和 SII 的最高值见于混合斑块型,其次是非钙化斑块型。SII 值为 463.07 预测一年主要不良心脏事件(MACE)的敏感性为 72.7%,特异性为 64.3%,SIRI 值为 1.14 预测一年 MACE 的敏感性为 93%,特异性为 62%。受试者工作特征曲线下面积(AUC)的配对分析显示,SIRI 的 AUC 高于冠状动脉钙评分和 SII。单因素 logistic 回归结果显示,年龄、肌酐水平、冠状动脉钙评分、SII 和 SIRI 是一年 MACE 的独立预测因子。根据多因素回归分析的结果,在调整其他因素后,年龄、肌酐水平和 SIRI 是一年 MACE 的独立预测因子。SIRI 似乎可以改善冠心病的风险预测。因此,可能需要特别关注 SIRI 较高的患者。

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