Objectives

Evidence is currently accumulating for the role of inflammation in cerebral venous thrombosis (CVT). Neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), monocyte/high-density lipoprotein ratio (MHR), and systematic immune-inflammation index (SII) are easily obtainable indicators of systemic inflammations. However, there were few studies on the relationship between them and CVT. Therefore, we aimed to evaluate the connection between the occurrence of CVT and the inflammatory markers described.

Materials and Methods

The samples from 150 participants (including 90 CVT and 60 primary headaches as controls) with similar baseline characteristics were collected in this retrospective study. The NLR, PLR, MHR, SII and file records were employed to compare CVT patients with the control group.

Results

The levels of NLR (3.93 [2.27, 7.87] vs. 1.65 [1.31, 2.06], P < 0.001), PLR (149.52 [98.39, 198.82] vs. 107.34 [83.31, 129.47], P < 0.001), SII (896.84 [559.89, 1591.87] vs. 382.45 [273.51, 520.92], P < 0.001) and MHR (0.51 [0.40, 0.64] vs. 0.41 [0.29, 0.53], P = 0.001) were significantly higher in the CVT group. After multivariate logistic regression analysis, the SII degree (13.136, [5.675, 30.407], P < 0.001) and MHR degree (2.620, [1.123, 6.113], P < 0.01) were found as independent predictors of CVT.

Conclusions

NLR, PLR, SII, and MHR may be able to assist in the diagnosis of CVT which confirmed that inflammation played an important role in CVT.

中文翻译：

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炎症与脑静脉血栓形成之间的关联：一项回顾性研究

目标

目前越来越多的证据表明炎症在脑静脉血栓形成 (CVT) 中的作用。中性粒细胞/淋巴细胞比率 (NLR)、血小板/淋巴细胞比率 (PLR)、单核细胞/高密度脂蛋白比率 (MHR) 和系统免疫炎症指数 (SII) 是容易获得的全身炎症指标。然而，关于它们与CVT之间关系的研究很少。因此，我们旨在评估 CVT 的发生与所描述的炎症标志物之间的联系。

材料和方法

在这项回顾性研究中收集了来自 150 名参与者（包括 90 名 CVT 和 60 名原发性头痛作为对照）的具有相似基线特征的样本。NLR、PLR、MHR、SII和档案记录用于比较CVT患者与对照组。

结果

NLR 水平 (3.93 [2.27, 7.87] vs. 1.65 [1.31, 2.06], P < 0.001), PLR (149.52 [98.39, 198.82] vs. 107.34 [83.31, 129.47], P < 0.001), SII (896.84 [559.89, 1591.87] vs. 382.45 [273.51, 520.92], P < 0.001) 和 MHR (0.51 [0.40, 0.64] vs. 0.41 [0.29, 0.53], P  = 0.001) 在 CVT 组中显着更高。经多因素logistic回归分析，发现SII度（13.136，[5.675，30.407]，P <0.001）和MHR度（2.620，[1.123，6.113]，P <0.01）是CVT的独立预测因子。

结论

NLR、PLR、SII和MHR可能有助于CVT的诊断，证实炎症在CVT中起重要作用。