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中性粒细胞与淋巴细胞比值与代谢综合征的存在及严重程度的相关性。

Correlation of neutrophil to lymphocyte ratio with the presence and severity of metabolic syndrome.

作者信息

Buyukkaya Eyup, Karakas Mehmet Fatih, Karakas Esra, Akçay Adnan Burak, Tanboga Ibrahim Halil, Kurt Mustafa, Sen Nihat

机构信息

1Department of Cardiology, Mustafa Kemal University School of Medicine, Hatay, Turkey.

出版信息

Clin Appl Thromb Hemost. 2014 Mar;20(2):159-63. doi: 10.1177/1076029612459675. Epub 2012 Sep 18.

Abstract

PURPOSE

The aim of this study is to investigate the relationship between the criteria comprising metabolic syndrome (MS) and neutrophil-lymphocyte ratio (NLR), a simple and reliable indicator of inflammation.

METHOD

Seventy patients with MS and 71 age- and sex-matched control participants were included. Patients were classified into 3 groups based on the number of MS criteria: group 1 (with 3 criteria), group 2 (with 4 criteria), and group 3 (with 5 criteria). The NLR was calculated from complete blood count.

RESULTS

Patients with MS had significantly higher NLR compared to the control group. Moreover, the group 3 patients had higher NLR than those in groups 2 and 1 (P = .008 and P = .078, respectively), whereas there was no difference between the patients meeting 3 and 4 MS criteria (P = .320). Besides, NLR increased as the severity of MS increased (r = .586, P < .001). The cutoff level for NLR with optimal sensitivity and specificity was calculated as 1.84. Serum glucose and high-sensitive C-reactive protein level were found to be independent predictors of an NLR value greater than 1.84.

CONCLUSION

The present study indicated a significant correlation between the criteria of MS and inflammation on the basis of NLR. Furthermore, there an increase in NLR as the severity of MS increases.

摘要

目的

本研究旨在探讨构成代谢综合征(MS)的各项标准与中性粒细胞-淋巴细胞比值(NLR)之间的关系,NLR是一种简单且可靠的炎症指标。

方法

纳入70例MS患者和71例年龄及性别匹配的对照参与者。根据MS标准的数量将患者分为3组:第1组(有3项标准)、第2组(有4项标准)和第3组(有5项标准)。通过全血细胞计数计算NLR。

结果

与对照组相比,MS患者的NLR显著更高。此外,第3组患者的NLR高于第2组和第1组患者(分别为P = .008和P = .078),而符合3项和4项MS标准的患者之间无差异(P = .320)。此外,NLR随着MS严重程度的增加而升高(r = .586,P < .001)。计算得出具有最佳敏感性和特异性的NLR临界值为1.84。发现血糖和高敏C反应蛋白水平是NLR值大于1.84的独立预测因素。

结论

本研究表明基于NLR的MS标准与炎症之间存在显著相关性。此外,随着MS严重程度增加,NLR升高。

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