论文标题
胰岛素抵抗性中性粒细胞与淋巴细胞比之间的关系
The Relationship Between Insulin Resistance Neutrophil to Lymphocyte Ratio
论文作者
论文摘要
目的：对慢性炎症在各种疾病的发病机理中的作用以及其标志物之一的兴趣越来越大，高NLR与各种死亡率和发病率风险有关。如临床前研究所示，胰岛素抵抗（IR）可能是一个潜在的关联因素。然而，流行病学研究稀缺，研究了NLR和胰岛素抵抗（IR）之间的关联，仅包括糖尿病患者，而不是一般人群。这项研究旨在确定美国普通人群中NLR和IR之间是否存在直接相关。方法：该样本由全国卫生和营养检查调查（NHANES）提供的一般人群的3,307个组成。计算胰岛素抵抗（HOMA-IR）值的稳态模型评估以评估胰岛素抵抗。我们通过双变量和多变量线性回归分析研究了其NLR和HOMA-IR值之间的关系。由于胰岛素使用可能导致不准确的HOMA-IR估计，因此我们排除了它们并在亚组分析中进行了分析。结果：当包括胰岛素用户时显示了一种关系，其Beta系数值为0.010（95％置信区间[CI]为0.003-0.017）。但是，当排除胰岛素用户时，β值降至0.004（95％CI为-0.006-0.015）。在多变量分析中调整年龄，性别和体重指数时，未达到统计学意义。结论：一般人群中，IR和NLR之间没有明显的关系。 IR可能无法解释健康人中NLR价值的变化，需要进一步的研究来揭示高NLR的相关因素。
Aim: There is increasing interest in the role of chronic inflammation on pathogenesis of various disease, and one of its markers, high NLR is associated with various mortality and morbidity risk. Insulin resistance (IR) might be one potential associate factors, as suggested in preclinical studies. However, epidemiological studies are scarce which investigated the association between NLR, and insulin resistance (IR) and they included only diabetes mellitus patients, not the general population. This study aims to determine if there is a direct correlation between NLR and IR in the US general population. Methods: The sample consists of 3,307 from general population, provided by National Health and Nutrition Examination Survey (NHANES). Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) value was calculated to evaluate insulin resistance. We investigated the relationship between their NLR and HOMA-IR values by bivariate and multivariate linear regression analyses. As insulin use could results in inaccurate HOMA-IR estimation, we excluded them and ran the analyses in subgroup analyses. Results: There was a relationship shown when insulin users were included, having a beta coefficient value of 0.010 (95% confidence interval [CI] of 0.003-0.017). However, when insulin users were excluded, the beta value decreased to 0.004 (95% CI of -0.006-0.015). The statistical significance was not reached when age, sex, and body mass index were adjusted for in the multivariate analyses. Conclusion: There is no visible relationship between IR and NLR in the general population. IR might not explain the variation of NLR value in healthy people, and further studies are needed to reveal the associated factor of high NLR.
