医学
置信区间
内科学
优势比
接收机工作特性
中性粒细胞与淋巴细胞比率
侧支循环
逻辑回归
心脏病学
单变量分析
糖尿病
淋巴细胞
曲线下面积
体质指数
白细胞
胃肠病学
C反应蛋白
多元分析
炎症
内分泌学
作者
ME Kalkan,Müslüm Şahin,A. Kalkan,Ahmet Güler,M. Hakan Taş,Mustafa Bulut,Serdar Demır,Rabia ACAR,Uğur Arslantaş,Burak Öztürkeri,Yeliz Güler,Mustafa Akçakoyun
出处
期刊:Perfusion
[SAGE]
日期:2014-02-17
卷期号:29 (4): 360-366
被引量:16
标识
DOI:10.1177/0267659114521102
摘要
Objectives: Previous studies showed the association between the major adverse cardiovascular outcomes and both higher neutrophil and lower lymphocyte counts. We aimed to investigate whether there is an association between the neutrophil-lymphocyte ratio (NLR) value and the development of coronary collateral circulation (CCC) in patients with coronary chronic total occlusion (CTO). Methods: A total of 274 patients with CTO were included in this study. Patients were then classified according to their Rentrop collateral grades as either poor (Rentrop grades 0-1) or good (Rentrop grades 2-3). Clinical information and analyses of blood samples were obtained from a review of the patients’ charts. Results: Although there was no difference between the two groups with regard to cardiovascular risk profiles, the NLR values were significantly higher in the patients who had poorly developed CCC (2.6 ± 0.5 vs 2.2 ± 0.4, p<0.001). NLR, high-sensitivity C-reactive protein (hs-CRP), white blood cell count (WBC), age, diabetes, fasting glucose levels and body mass index were found to have univariate association with poorly developed CCC (p<0.1). In a multivariate logistic regression model, NLR (odds ratio 1.88, 95% confidence interval (CI) 1.37–2.74; p<0.001), high-sensitivity C-reactive protein and WBC were found to be the independent predictors of poor CCC. In receiver operator characteristic curve analysis, the optimal cut-off value of NLR to predict poor CCC was found as 2.17, with 77% sensitivity and 65% specificity. Conclusion: NLR, as a novel cardiovascular risk marker, is an important, simple and inexpensive method which can be used by the cardiologist as a screening inflammation tool to estimate the development of CCC in patients with CTO.
科研通智能强力驱动
Strongly Powered by AbleSci AI