颈动脉狭窄指标与病变硬度的关系:c反应蛋白和尿酸的优势

Alp Yildirim, Mustafa Celik, Muhammed Fatih Kaleli, F. Keleş, Muhammed Alpaslan, E. Sokmen
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引用次数: 0

摘要

背景:动脉粥样硬化是一种在动脉内形成胆固醇斑块的疾病。当某些物质,如胆固醇、脂肪和细胞废物积聚在动脉壁上时,免疫系统对这些物质作出反应,引发炎症,动脉粥样硬化的过程就开始了。随着时间的推移,这种炎症会导致斑块生长和硬化,使动脉变窄,减少血液流动。颈动脉病变(CAD)是指颈动脉内的斑块。CAD会增加中风的风险,这是一种潜在的危及生命的疾病,当大脑的血液流动中断时就会发生。目的:本研究的目的是检测颈动脉狭窄与炎症标志物之间的关系。方法:本研究采用前瞻性设计,分别纳入轻度颈动脉狭窄患者109例和重度颈动脉狭窄患者100例。对照组101例。所有患者均行颈动脉超声检查。在将斑块分为(严重狭窄)类后,又将其分为回声性斑块,即回声性(软)斑块和回声性(硬)斑块。结果:轻度和重度狭窄组尿酸(UA)值均高于对照组(P<0.01)。c反应蛋白(CRP)均值以严重狭窄组最高,对照组最低(P<0.01)。UA每增加一个单位,风险就会增加2.203倍。无钙化的软质病变组CRP值高于有钙化的硬质病变组。结论:我们的研究结果表明,年龄、UA和CRP值被确定为颈动脉狭窄发展的相互独立的预测因子。关于斑块分类,我们的研究结果确定CRP、平均血小板体积(MPV)、白细胞和淋巴细胞值为阴性预测因子。我们的研究结果表明,CRP和UA在预测狭窄的严重程度和软斑块的形成方面有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Relationship of Markers With Carotid Artery Stenosis and Lesion Hardness: Superiority of C-Reactive Protein and Uric Acid
Background : Atherosclerosis is a disease that cholesterol plaque builds up inside arteries. The process of atherosclerosis starts when certain substances such as cholesterol, fats, and cellular waste products accumulate in the walls of arteries, and the immune system responds to these substances, triggering inflammation. Over time, this inflammation can cause the plaque to grow and harden, narrowing the artery and reducing blood flow. Carotid artery disease (CAD) is a conclusion of plaques in carotid artery. CAD can increase the risk of stroke, a potentially life-threatening condition that occurs when blood flow to the brain is interrupted. Objectives: The objectives of this study were to detect the association between carotid artery stenosis and inflammatory markers. Methods: This study was designed prospectively and included 109 and 100 patients having mild carotid stenosis and severe carotid stenosis, respectively. Further, 101 patients were included in the control group. The carotid ultrasonography was evaluated in all patients. After classifying the plaques into<60% (mild stenosis) and 60%>(severe stenosis) categories, they were also grouped into echogenicity plaques, namely, echolucent (soft) and echogenic (hard) plaques. Results: The uric acid (UA) values of the mild and severe stenosis groups were higher than that of the control group (P<0.01). The mean C-reactive protein (CRP) value was the highest in the severe stenosis group, and the lowest CRP value was found in the control group (P<0.01). A one-unit increase in UA could increase the risk by 2.203 times. The CRP value was higher in the soft lesion group without calcification than in the hard lesion group with calcification. Conclusion: Our findings demonstrated that age, UA, and CRP values were identified as predictors independent of each other in the development of carotid stenosis. Regarding plaque classification, our results identified CRP, mean platelet volume (MPV), white blood cell, and lymphocyte values as negative predictors. The findings of our study indicate that CRP and UA are valuable in predicting the severity of stenosis and the formation of soft plaque.
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