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全身免疫炎症指数(SII)与银屑病风险的关联:2011 - 2014年美国国家健康与营养检查调查的横断面分析

Association of systemic immune-inflammation index (SII) with risk of psoriasis: a cross-sectional analysis of National Health and Nutrition Examination Survey 2011-2014.

作者信息

Yang Xuan, Pan Yuxin, Zhang Yang, Meng Yang, Tong Tang, Zhao Mingyi

机构信息

The Department of Pediatrics, The Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, China.

The Department of Dermatology, Xiangya Hospital of Central South University, Changsha, 410083, Hunan, China.

出版信息

Eur J Med Res. 2025 Jan 29;30(1):58. doi: 10.1186/s40001-025-02304-0.

DOI:10.1186/s40001-025-02304-0
PMID:39881406
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11776211/
Abstract

BACKGROUND

The systemic immune-inflammation index (SII) is an emerging marker of inflammation, and the onset of psoriasis is associated with inflammation. The aim of our study was to investigate the potential impact of SII on the incidence rate of adult psoriasis.

METHODS

We conducted a cross-sectional study based on the National Health and Nutrition Examination Survey (NHANES) 2011-2014 data sets. Multiple logistic regression analyses with appropriate covariates adjustment were the major methods in this study. Subgroup analyses were conducted by age, gender, race, smoking status, alcohol consumption, history of heart attack, stroke, coronary heart disease and diabetes. Interactions among these variables were also detected. We further utilized smooth curve fitting to explore potential nonlinear associations between SII and psoriasis across different subgroups. The receiver operating characteristic curve analysis was used to assess the diagnostic value of SII for psoriasis in the general population and diabetic individuals. Multiple imputation was adopted as sensitivity analysis to address potential bias due to missing data.

RESULTS

9314 participants (≥ 20 years) were included. A significant positive association was observed between SII and psoriasis (OR = 1.56; P = 0.0069). Subgroup analysis revealed significant positive association in males (OR = 1.52; P = 0.0288), females (OR = 1.61; P = 0.0322), Non-Hispanic Whites (OR = 1.55; P = 0.0190), people aged 40-59 years (OR = 1.98; P = 0.0386), diabetics (OR = 3.40; P = 0.0088), and overweight participants (OR = 1.80; P = 0.0034). SII had a higher predictive value for psoriasis in diabetic patients (AUC = 0.62; 95% CI [0.55, 0.70]). In stroke patients, SII was negatively correlated with the occurrence of psoriasis, and interaction test suggested the effect of SII on psoriasis was significantly modified by stroke (P = 0.0003). Nonlinear relationships between SII and psoriasis were observed in participants aged 20 to 39, former smokers, current drinkers, individuals with or without heart attack, those without coronary heart disease, and overweight participants.

CONCLUSIONS

SII was positively associated with psoriasis. Testing for SII levels may help to identify the onset of psoriasis early.

摘要

背景

全身免疫炎症指数(SII)是一种新兴的炎症标志物,而银屑病的发病与炎症相关。我们研究的目的是探讨SII对成人银屑病发病率的潜在影响。

方法

我们基于2011 - 2014年国家健康与营养检查调查(NHANES)数据集进行了一项横断面研究。本研究的主要方法是进行适当协变量调整的多重逻辑回归分析。按年龄、性别、种族、吸烟状况、饮酒情况、心脏病发作史、中风史、冠心病和糖尿病史进行亚组分析。还检测了这些变量之间的相互作用。我们进一步利用平滑曲线拟合来探索不同亚组中SII与银屑病之间潜在的非线性关联。采用受试者工作特征曲线分析来评估SII在一般人群和糖尿病个体中对银屑病的诊断价值。采用多重填补作为敏感性分析,以解决因数据缺失导致的潜在偏倚。

结果

纳入了9314名年龄≥20岁的参与者。观察到SII与银屑病之间存在显著正相关(OR = 1.56;P = 0.0069)。亚组分析显示,在男性(OR = 1.52;P = 0.0288)、女性(OR = 1.61;P = 0.0322)、非西班牙裔白人(OR = 1.55;P = 0.0190)、40 - 59岁人群(OR = 1.98;P = 0.0386)、糖尿病患者(OR = 3.40;P = 0.0088)和超重参与者(OR = 1.80;P = 0.0034)中存在显著正相关。SII在糖尿病患者中对银屑病具有更高的预测价值(AUC = 0.62;95%CI[0.55, 0.70])。在中风患者中,SII与银屑病的发生呈负相关,相互作用检验表明中风显著改变了SII对银屑病的影响(P = 0.0003)。在20至39岁的参与者、既往吸烟者、当前饮酒者、有或无心脏病发作的个体、无冠心病的个体以及超重参与者中观察到SII与银屑病之间的非线性关系。

结论

SII与银屑病呈正相关。检测SII水平可能有助于早期识别银屑病的发病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8d8/11776211/bc9c57751fd6/40001_2025_2304_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8d8/11776211/a95290c894dd/40001_2025_2304_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8d8/11776211/bc9c57751fd6/40001_2025_2304_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8d8/11776211/a95290c894dd/40001_2025_2304_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8d8/11776211/bc9c57751fd6/40001_2025_2304_Fig5_HTML.jpg

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