Association between Neutrophil-to-Lymphocyte Ratio and Severity of Coronary Artery Disease

Dilmo Yeldo, PatelSunil Gordhanbhai, T. Ravindra
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Abstract

Background: Atherosclerosis is a complex inflammatory disease. The neutrophil-to-lymphocyte ratio (NLR) is a systemic inflammatory marker that is correlated with adverse cardiovascular outcomes. Aim: The aim of this study was to investigate the association between NLR and severity of coronary artery disease. Study Design and Methodology: It is a hospital-based observational study. A total of 90 participants were included in the study. All the participants were divided into three groups based on the result of coronary angiography report using both Syntax and Gensini scores. NLR was calculated as the ratio of neutrophil count to lymphocyte count. Results: The NLR was evaluated for the severity of coronary arterial stenosis. A significantly higher (Chi-square value [50.35], df [2], P < 0.001) NLR ratio was seen in patients with severe coronary stenosis based on Syntax scoring. A significantly higher (Chi-square value [60.93], df [2], P < 0.001) NLR ratio was seen in patients with severe coronary arterial stenosis based on Gensini scoring. In logistic regression analyses, NLR was an independent predictor of coronary artery disease. An NLR of 2.15 or higher predicted the severity of coronary artery disease. Conclusion: In this study, it was found that NLR was significantly elevated in patients with significant coronary artery stenosis estimated by both Syntax and Gensini scores.
中性粒细胞与淋巴细胞比值与冠状动脉疾病严重程度的关系
背景:动脉粥样硬化是一种复杂的炎症性疾病。中性粒细胞与淋巴细胞比率(NLR)是一种与心血管不良结局相关的全身性炎症标志物。目的:本研究的目的是探讨NLR与冠状动脉疾病严重程度之间的关系。研究设计和方法:这是一项基于医院的观察性研究。共有90名参与者参与了这项研究。根据冠状动脉造影报告的Syntax和Gensini评分结果将所有参与者分为三组。NLR以中性粒细胞计数与淋巴细胞计数之比计算。结果:采用NLR评价冠状动脉狭窄的严重程度。根据Syntax评分,严重冠状动脉狭窄患者的NLR比显著升高(卡方值[50.35],df [2], P < 0.001)。根据Gensini评分,严重冠状动脉狭窄患者的NLR比显著升高(卡方值[60.93],df [2], P < 0.001)。在logistic回归分析中,NLR是冠状动脉疾病的独立预测因子。NLR为2.15或更高预示着冠状动脉疾病的严重程度。结论:本研究发现,通过Syntax评分和Gensini评分,冠状动脉明显狭窄的患者NLR明显升高。
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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