Pan-Immune-Inflammatory Value is Superior to Other Inflammatory Indicators in Predicting Inpatient Major Adverse Cardiovascular Events and Severe Coronary Artery Stenosis after Percutaneous Coronary Intervention in STEMI Patients.

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Accounts of Chemical Research Pub Date : 2024-08-20 eCollection Date: 2024-08-01 DOI:10.31083/j.rcm2508294
Li Yang, Jiongchao Guo, Min Chen, Yuqi Wang, Jun Li, Jing Zhang
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引用次数: 0

Abstract

Background: The inflammatory response to atherosclerosis is a process that leads to coronary artery disease. Pan-immune-inflammation value (PIV) has emerged as a new and simple biomarker of inflammation. However, studies on the predictive power of PIV for major adverse cardiovascular events (MACE) or the degree of coronary artery stenosis are scarce. We aimed to explore the predictive ability of PIV for MACE and the degree of coronary artery stenosis in patients with ST-segment elevation myocardial infarction (STEMI) after percutaneous coronary intervention (PCI) during hospitalization.

Methods: This study included 542 patients who were diagnosed with STEMI and who underwent PCI between 2016 and 2023 and whose PIV and other inflammatory markers were measured. Using univariate and multivariate logistic regression analysis, risk variables for MACE following PCI and severe coronary stenosis during hospitalization were assessed to create receiver operating characteristic (ROC) curves and determine the best thresholds for inflammatory markers. Spearman correlation analysis was used to evaluate the correlation of PIV and other inflammatory markers with the Gensini score (GS).

Results: Compared with the systemic inflammatory index (SII), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR), the PIV may have greater predictive value in terms of the occurrence of MACE and the degree of coronary stenosis after PCI in hospitalized STEMI patients. The correlation between the PIV and GS was strong.

Conclusions: PIV was superior to the SII, PLR, and NLR in predicting inpatient prognosis and severe coronary stenosis after PCI for STEMI patients.

泛免疫炎症值在预测 STEMI 患者经皮冠状动脉介入治疗后的住院患者主要不良心血管事件和严重冠状动脉狭窄方面优于其他炎症指标。
背景:动脉粥样硬化的炎症反应是导致冠状动脉疾病的一个过程。泛免疫炎症值(PIV)已成为一种新的、简单的炎症生物标志物。然而,有关 PIV 对主要不良心血管事件(MACE)或冠状动脉狭窄程度的预测能力的研究却很少。我们旨在探讨 PIV 对 ST 段抬高型心肌梗死(STEMI)患者住院期间经皮冠状动脉介入治疗(PCI)后的 MACE 和冠状动脉狭窄程度的预测能力:该研究纳入了 542 名确诊为 STEMI 并在 2016 年至 2023 年期间接受 PCI 治疗的患者,并对其 PIV 和其他炎症标志物进行了测量。通过单变量和多变量逻辑回归分析,评估了PCI术后MACE和住院期间冠状动脉严重狭窄的风险变量,以创建接收器操作特征曲线(ROC)并确定炎症标志物的最佳阈值。斯皮尔曼相关分析用于评估PIV和其他炎症指标与Gensini评分(GS)的相关性:结果:与全身炎症指数(SII)、血小板与淋巴细胞比值(PLR)和中性粒细胞与淋巴细胞比值(NLR)相比,PIV对住院STEMI患者PCI术后发生MACE和冠状动脉狭窄程度的预测价值更高。PIV与GS之间的相关性很强:在预测 STEMI 患者住院预后和 PCI 后严重冠状动脉狭窄方面,PIV 优于 SII、PLR 和 NLR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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