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颈动脉斑块内新生血管形成及免疫炎症生物标志物与冠状动脉狭窄的关系

Relationship Between Carotid Intraplaque Neovascularization and Immune-Inflammatory Biomarkers with Coronary Stenosis.

作者信息

Wang Yixue, Chen Jinhong, Li Xuemin, Tang Xinyu, Zhang Yu, Yang Xiao

机构信息

Department of Ultrasound, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, 230011 Hefei, Anhui, China.

The Fifth Clinical College of Medicine, Anhui Medical University, 230032 Hefei, Anhui, China.

出版信息

Rev Cardiovasc Med. 2025 May 23;26(5):28171. doi: 10.31083/RCM28171. eCollection 2025 May.

DOI:10.31083/RCM28171
PMID:40475746
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12135665/
Abstract

BACKGROUND

Intraplaque neovascularization (IPN) correlates significantly with plaque vulnerability and can be detected using Angio PLanewave UltraSensitive imaging technology (Angio PL.U.S.; AP). Several immune-inflammatory biomarkers that reflect the state of inflammation and immune homeostasis in the body are currently used to assess cardiovascular and cerebrovascular diseases. This study aimed to investigate the correlation between carotid IPN scores and several immune-inflammatory indicators in patients with different degrees of coronary artery stenosis.

METHODS

This study prospectively enrolled 107 patients with coronary artery stenosis confirmed by coronary angiography (CAG). Preoperative ultrasonography was performed to screen for carotid plaques, and AP was conducted to determine whether IPN was present and correctly scored. The levels of immune-inflammatory indicators, plaques, and coronary artery lesions between groups with and without IPN and different IPN scores were analyzed. We utilized logistic regression models to determine the independent predictors of IPN and constructed receiver operating characteristic (ROC) curves. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated.

RESULTS

Differences in systemic immune inflammation index (SII) levels and plaque thicknesses were found between the groups with and without IPN and between different IPN scores ( < 0.05). The IPN scores were positively correlated with SII levels (r = 0.268, = 0.005), plaque thickness (r = 0.273, = 0.005), and Gensini score (r = 0.446, < 0.001). SII levels (per 10-unit increase) (OR = 1.031) and plaque thickness (OR = 1.897) were independent risk factors for IPN. When the SII was 541 × 10/L and the thickness of the plaque was 2.25 mm, the area under the curve (AUC) was 0.653 and 0.656, respectively. The AUC of the combined diagnosis was 0.711.

CONCLUSION

Elevated SII levels and increased plaque thickness were associated with the vulnerability of carotid plaques in patients with coronary artery stenosis and may signal increased coronary artery stenosis.

THE CLINICAL TRIAL REGISTRATION

ChiCTR2400094458, https://www.chictr.org.cn/hvshowprojectEN.html?id=266292&v=1.0.

摘要

背景

斑块内新生血管形成(IPN)与斑块易损性显著相关,可通过血管平面波超敏成像技术(Angio PLanewave UltraSensitive;AP)进行检测。目前,几种反映体内炎症和免疫稳态状态的免疫炎症生物标志物被用于评估心脑血管疾病。本研究旨在探讨不同程度冠状动脉狭窄患者颈动脉IPN评分与几种免疫炎症指标之间的相关性。

方法

本研究前瞻性纳入107例经冠状动脉造影(CAG)确诊为冠状动脉狭窄的患者。术前行超声检查以筛查颈动脉斑块,并进行AP检查以确定是否存在IPN并正确评分。分析有无IPN及不同IPN评分组之间的免疫炎症指标、斑块和冠状动脉病变水平。我们利用逻辑回归模型确定IPN的独立预测因素,并构建受试者工作特征(ROC)曲线。计算比值比(OR)和95%置信区间(CI)。

结果

有无IPN组及不同IPN评分组之间的全身免疫炎症指数(SII)水平和斑块厚度存在差异(<0.05)。IPN评分与SII水平(r = 0.268, = 0.005)、斑块厚度(r = 0.273, = 0.005)和Gensini评分(r = 0.446,<0.001)呈正相关。SII水平(每增加10个单位)(OR = 1.031)和斑块厚度(OR = 1.897)是IPN的独立危险因素。当SII为541×10/L且斑块厚度为2.25 mm时,曲线下面积(AUC)分别为0.653和0.656。联合诊断的AUC为0.711。

结论

SII水平升高和斑块厚度增加与冠状动脉狭窄患者颈动脉斑块的易损性相关,可能预示冠状动脉狭窄加重。

临床试验注册

ChiCTR2400094458,https://www.chictr.org.cn/hvshowprojectEN.html?id=266292&v=1.0.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d64/12135665/14704ed9d922/2153-8174-26-5-28171-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d64/12135665/b37047f9277b/2153-8174-26-5-28171-g1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d64/12135665/14704ed9d922/2153-8174-26-5-28171-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d64/12135665/b37047f9277b/2153-8174-26-5-28171-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d64/12135665/87d6532c9da4/2153-8174-26-5-28171-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d64/12135665/8337d5833341/2153-8174-26-5-28171-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d64/12135665/78aacea7e03e/2153-8174-26-5-28171-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d64/12135665/14704ed9d922/2153-8174-26-5-28171-g5.jpg

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