Dermatology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan 364000, China.
Medicine (Baltimore). 2024 Feb 23;103(8):e37236. doi: 10.1097/MD.0000000000037236.
To investigate the association of systemic inflammation index (SII) with psoriasis risk and psoriasis severity. This is a retrospective cohort study based on data from the National Health and Nutrition Examination Survey database from 2009 to 2014. The psoriasis information was obtained from the questionnaire data, and the SII was calculated as neutrophil × platelet/lymphocyte. We performed matching by controlling age and gender to reach a 1:2 ratio for better statistical power. Weighted logistic regression analysis, subgroup analysis, restricted cubic spline analysis, and threshold analysis were used to evaluate the association of SII with psoriasis risk. Besides, mediation analysis was conducted to assess the possible regulatory path. Finally, the receiver operating characteristic curve was plotted to analyze the predictive value of SII for psoriasis severity. The study involved 16,466 participants including 16,020 no-psoriasis participants and 446 psoriasis participants. After matching, psoriasis and non-psoriasis individuals were 446 and 892, respectively. SII was significantly higher in the psoriasis group than the non-psoriasis group (P < .05). Additionally, white blood cells and monocytes were significantly linked to psoriasis risk and SII scores (P < .05). Besides, SII elevation was an independent predictor for upregulated psoriasis risk (P < .05). There was a nonlinear relationship between SII and psoriasis risk (P nonlinear < .05), which was not mediated by white blood cells and monocytes. Unexpectedly, SII had no significance in predicting SII severity (P > .05). SII can independently predict psoriasis risk but has no impact on psoriasis severity. Further, SII serves as a potential and robust biomarker for identifying high-risk psoriasis individuals.
为了探究全身性炎症指数（SII）与银屑病风险和严重程度的相关性。本研究基于 2009 年至 2014 年国家健康和营养检查调查数据库中的数据进行了回顾性队列研究。银屑病信息来自问卷调查数据，SII 计算方法为中性粒细胞×血小板/淋巴细胞。为了获得更好的统计效能，我们通过控制年龄和性别进行匹配，达到 1:2 的比例。采用加权逻辑回归分析、亚组分析、限制立方样条分析和阈值分析来评估 SII 与银屑病风险的相关性。此外，还进行了中介分析以评估可能的调节途径。最后，绘制了受试者工作特征曲线来分析 SII 对银屑病严重程度的预测价值。本研究共纳入了 16466 名参与者，其中 16020 名无银屑病参与者和 446 名银屑病参与者。经过匹配后，银屑病组和非银屑病组分别为 446 名和 892 名。银屑病组的 SII 显著高于非银屑病组（P<0.05）。此外，白细胞和单核细胞与银屑病风险和 SII 评分显著相关（P<0.05）。此外，SII 升高是上调银屑病风险的独立预测因子（P<0.05）。SII 与银屑病风险之间存在非线性关系（P非线性<0.05），且不受白细胞和单核细胞的介导。出乎意料的是，SII 对预测 SII 严重程度没有意义（P>0.05）。SII 可以独立预测银屑病风险，但对银屑病严重程度没有影响。此外，SII 可作为识别高危银屑病患者的潜在且强大的生物标志物。
