中性粒细胞与淋巴细胞比值与2型糖尿病对冠心病和颈动脉粥样硬化的联合影响。

Journal of cardiovascular ultrasound Pub Date : 2016-06-01 Epub Date: 2016-06-22 DOI:10.4250/jcu.2016.24.2.115
Bong-Joon Kim, Sang-Hoon Cho, Kyoung-Im Cho, Hyun-Su Kim, Jung-Ho Heo, Tae-Joon Cha
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引用次数: 34

摘要

背景:中性粒细胞与淋巴细胞比率(NLR)最近成为预测心血管事件的一个新的重要炎症标志物。本研究旨在评估NLR和2型糖尿病(T2DM)对显著冠状动脉疾病(CAD)和颈动脉粥样硬化的联合影响。方法:828例患者行冠状动脉造影和颈动脉超声检查。明显的CAD定义为至少有一条血管狭窄大于50%。我们采用logistic回归模型来研究NLR和T2DM与显著CAD的关系。模型的拟合优度和可判别性分别采用对数似然比检验和c指数进行评估。此外,我们还研究了将患者分为低、中、高三个风险组的NLR分类的临床相关性。结果:经logistic回归分析,NLR{校正比值比(OR) 1.31, p < 0.001}和T2DM(校正比值比(OR) 2.46, p = 0.006)均为显著性CAD的独立危险因素。将NLR和T2DM加入到包含常规心血管危险因素的logistic回归模型中,显著提高了模型的拟合优度(p < 0.001)和可判别性(p = 0.004)。T2DM高危组(NLR > 2)与非T2DM患者或2型糖尿病低危组(NLR≤1)相比,冠心病和颈动脉粥样硬化的发生率更高。结论:高炎症状态的2型糖尿病患者更容易发生冠心病和颈动脉粥样硬化。
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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The Combined Impact of Neutrophil-to-Lymphocyte Ratio and Type 2 Diabetic Mellitus on Significant Coronary Artery Disease and Carotid Artery Atherosclerosis.

Background: Neutrophil-to-lymphocyte ratio (NLR) has recently emerged as a new important inflammatory marker for predicting cardiovascular events. This study aimed to evaluate the combined impact of NLR and type 2 diabetes mellitus (T2DM) on significant coronary artery disease (CAD) and carotid artery atherosclerosis.

Methods: This study includes a total of 828 patients evaluated by coronary angiography and carotid ultrasonography. Significant CAD was defined as at least one vessel with stenosis greater than 50%. We employed logistic regression models to investigate the association of NLR and T2DM with significant CAD. The goodness-of-fit and discriminability of the models were assessed by the loglikelihood ratio test and C-index, respectively. Also, we investigated the clinical relevance of the categorized NLR that classifies patients into three risk groups (low, intermediate, high).

Results: According to logistic regression analysis, both NLR {adjusted odds ratio (OR) 1.31, p < 0.001} and T2DM (adjusted OR 2.46, p = 0.006) were independent risk factors of significant CAD. The addition of NLR and T2DM into a logistic regression model including conventional cardiovascular risk factors significantly improved the goodness-of-fit (p < 0.001) and the discriminability of the model (p = 0.004). Also, T2DM patients assigned into the high risk group (NLR > 2) showed the greater prevalence of significant CAD and carotid artery atherosclerosis compared with patients without T2DM or type 2 diabetic patients assigned into the low risk group (NLR ≤ 1).

Conclusion: Our results suggest that type 2 diabetic patients with high inflammatory state would be more vulnerable to significant CAD and carotid artery atherosclerosis.

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