Sun Hui, Liu Haiying, Li Jinxia, Kou Jinxin, Yang Can
Clinical Laboratory, Xi'an International Medical Center Hospital, Xi'an, People's Republic of China.
Occupational Health Department, Xi'an Changan District Center for Disease Control and Prevention, Xi'an, People's Republic of China.
J Inflamm Res. 2024 Oct 15;17:7325-7338. doi: 10.2147/JIR.S479253. eCollection 2024.
This study aims to observe the relationship between novel inflammatory markers and AMI, and analyze its correlation with the degree of coronary artery disease.
Clinical data were collected from the control (510 cases) and AMI (406 cases) groups. The AMI group was classified into mild, moderate and severe according to the Gensini score. Correlation of SII, SIRI, MHR and NHR with Gensini score in AMI patients was analysed using Spearman rank correlation analysis. Factors influencing the degree of coronary lesion in AMI were analysed by multi-factor ordinal logistic regression. The predictive value of the novel inflammatory markers for AMI and its coronary severity was assessed using ROC curves. Risk prediction of the extent of coronary artery disease in AMI using the Nomogram for novel inflammatory indices.
The levels of SII, SIRI, MHR and NHR were significantly higher in the AMI group than in the control group. With increasing Gensini score, all four novel inflammatory indices showed an increasing trend. And four novel inflammatory indices were positively correlated with Gensini scores. Meanwhile, SII, SIRI and MHR were independent risk factors for the extent of coronary artery disease in AMI. SII, SIRI, MHR and NHR have good predictive value for AMI, and have predictive value for mild and severe AMI, but have no predictive value for moderate AMI. The nomogram results showed that SII, SIRI and MHR had some predictive value for the degree of coronary artery disease in AMI. The nomogram results showed that SII, SIRI and MHR had some predictive value for the degree of coronary artery disease in AMI.
The elevated levels of SIRI, SII, MHR, NHR in AMI patients are independent risk factors for the severity of coronary artery disease in AMI patients, and have predictive value to a certain extent.
本研究旨在观察新型炎症标志物与急性心肌梗死（AMI）之间的关系，并分析其与冠状动脉疾病程度的相关性。
收集对照组（510例）和AMI组（406例）的临床资料。AMI组根据Gensini评分分为轻度、中度和重度。采用Spearman等级相关分析分析AMI患者中全身炎症反应指数（SII）、全身免疫炎症指数（SIRI）、单核细胞与高密度脂蛋白胆固醇比值（MHR）和中性粒细胞与淋巴细胞比值（NHR）与Gensini评分的相关性。通过多因素有序逻辑回归分析影响AMI患者冠状动脉病变程度的因素。使用ROC曲线评估新型炎症标志物对AMI及其冠状动脉严重程度的预测价值。使用新型炎症指标的列线图对AMI患者冠状动脉疾病范围进行风险预测。
AMI组的SII、SIRI、MHR和NHR水平显著高于对照组。随着Gensini评分的增加，所有四个新型炎症指标均呈上升趋势。并且四个新型炎症指标与Gensini评分呈正相关。同时，SII、SIRI和MHR是AMI患者冠状动脉疾病范围的独立危险因素。SII、SIRI、MHR和NHR对AMI有良好的预测价值，对轻度和重度AMI有预测价值，但对中度AMI无预测价值。列线图结果显示，SII、SIRI和MHR对AMI患者冠状动脉疾病程度有一定的预测价值。列线图结果显示，SII、SIRI和MHR对AMI患者冠状动脉疾病程度有一定的预测价值。
AMI患者中SIRI、SII、MHR、NHR水平升高是AMI患者冠状动脉疾病严重程度的独立危险因素，且具有一定的预测价值。
