Blood count parameters can predict the severity of coronary artery disease
Blood count parameters can predict the severity of coronary artery disease
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血细胞计数参数可以预测冠状动脉疾病的严重程度
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
H. M. Sönmez
中科院分区：
文献类型：
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作者：
Hilal Uysal;Bekir Dağlı;Çağdaş Akgüllü;Mücahit Avcil;C. Zencir;M. Ayhan;H. M. Sönmez
由于冠状动脉疾病（CAD）的炎症性质，血小板和白色血细胞已被研究多年。本研究的目的是通过Gensini评分来研究血液学的一些重要指标（平均血小板体积[MPV]、中性粒细胞/淋巴细胞比值[NLR]）与CAD严重程度之间的关系。方法选择194例经冠状动脉造影证实的冠心病患者。对照组42例，冠状动脉正常。其余CAD患者根据Gensini评分分为两组。结果重度动脉粥样硬化组的NLR和MPV均高于轻度动脉粥样硬化组（p = 0.007，p = 0.005）。Gensini评分与NLR（r = 0.20，p = 0.011）、MPV（r = 0.23，p = 0.004）和高密度脂蛋白胆固醇（r =-0.161，p = 0.047）显著相关。使用截止值2.54，NLR预测严重动脉粥样硬化的敏感性为74%，特异性为53%（曲线下面积[AUC]，0.627; 95%置信区间[CI]，0.545至0.704; p = 0.004）。MPV值高于10.4预测严重动脉粥样硬化的敏感性为39%，特异性为90%（AUC，0.631; 95%CI，0.549至0.708; p = 0.003）。在多元逻辑回归分析中，发现高水平的NLR（比值比[OR]，1.450; 95%CI，1.080 - 1.945; p = 0.013）和MPV（OR，1.622; 95%CI，1.147 - 2.295; p = 0.006）是严重动脉粥样硬化的独立预测因子。结论NLR和MPV均为严重动脉粥样硬化的预测指标，可用于冠心病患者心脏风险的预测和识别。
Background/Aims Because of the inflammatory nature of coronary artery disease (CAD), both platelets and white blood cells have been investigated for years. The aim of this study was to investigate the relationships between some prominently hematologic blood count parameters (mean platelet volume [MPV], neutrophil to lymphocyte ratio [NLR]) and the severity of CAD by using Gensini scores. Methods A total of 194 patients, who had undergone coronary angiography, enrolled in this study. The control group consisted of 42 patients who had normal coronary arteries. Remaining CAD patients were divided into two groups according to their Gensini scores. Results NLR and MPV were higher in the severe atherosclerosis group compared with the mild atherosclerosis group (p = 0.007, p = 0.005, respectively). The Gensini score showed significant correlations with NLR (r = 0.20, p = 0.011), MPV (r = 0.23, p = 0.004) and high density lipoprotein cholesterol (r = –0.161, p = 0.047). Using a cut-off level of 2.54, NLR predicted severe atherosclerosis with a sensitivity of 74% and specificity of 53% (area under curve [AUC], 0.627; 95% confidence interval [CI], 0.545 to 0.704; p = 0.004). MPV values above 10.4 predicted severe atherosclerosis with a sensitivity of 39% and specificity of 90% (AUC, 0.631; 95% CI, 0.549 to 0.708; p = 0.003). In the multiple logistic regression analysis, high levels of NLR (odds ratio [OR], 1.450; 95% CI, 1.080 to 1.945; p = 0.013) and MPV (OR, 1.622; 95% CI, 1.147 to 2.295; p = 0.006) were found to be independent predictors of severe atherosclerosis. Conclusions Our study suggests that both NLR and MPV are predictors of severe atherosclerosis and may be used for the prediction and identification of cardiac risks in CAD patients.
DOI：
10.1056/nejm199906173402418
发表时间：
1999-06
期刊：
The New England journal of medicine
影响因子：
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作者：
Williams Kj;I. Tabas
通讯作者：
Williams Kj;I. Tabas