Bai Yixuan, Fang Zanxi, Dai Huirong, Zhang Qiao, You Pan
Department of Clinical Laboratory, Xiamen Xianyue Hospital, Xianyue Hospital Affiliated with Xiamen Medical College, Fujian Psychiatric Center, Fujian Clinical Research Center for Mental Disorders, Xiamen, Fujian, China.
Centre of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Front Psychiatry. 2025 May 8;16:1580151. doi: 10.3389/fpsyt.2025.1580151. eCollection 2025.
To explore the relationship between the systemic immune-inflammation index (SII) and the severity of depression.
This retrospective study included 750 patients who were hospitalized at Xiamen Xianyue Hospital and diagnosed with depression from January 2022 to December 2023. The SII was defined as the platelet count × neutrophil count/lymphocyte count. The participants were divided into a mild to moderate depression group (299 patients) and a major depression group (451 patients). Univariate and multivariate Logistic regression analysis, subgroup analysis, sensitivity analysis, and receiver operating characteristic (ROC) curve analysis were used to explore the correlation between the SII and the severity of depression.
According to the multivariate Logistic regression analysis, the SII was independently associated with the risk of major depression (P < 0.05). For every 1- unit and 1-standard-deviation increase in the SII, the risk of major depression increased by 0.1% and 25.3%, respectively (OR: 1.001, 95% CI: 1.000-1.001, P = 0.008; OR: 1.253, 95% CI: 1.061-1.480, P = 0.008), and each 1-unit increase in the LogSII was associated with a 124.8% increased risk of major depression (OR: 2.248, 95% CI: 1.231-4.106, P = 0.008). Subgroup analysis and sensitivity analysis revealed significant associations between the SII and the risk of major depression was significant in multiple specific populations (P < 0.05). ROC curve analysis revealed that the area under the curve (AUC) value for using the SII to predict the risk of major depression was 0.585 (95% CI: 0.507-0.591, P = 0.024).
Higher SII values are strongly associated with a greater risk of major depression.
探讨全身免疫炎症指数（SII）与抑郁症严重程度之间的关系。
这项回顾性研究纳入了2022年1月至2023年12月期间在厦门仙岳医院住院并被诊断为抑郁症的750例患者。SII定义为血小板计数×中性粒细胞计数/淋巴细胞计数。参与者被分为轻度至中度抑郁症组（299例患者）和重度抑郁症组（451例患者）。采用单因素和多因素Logistic回归分析、亚组分析、敏感性分析以及受试者工作特征（ROC）曲线分析，以探讨SII与抑郁症严重程度之间的相关性。
根据多因素Logistic回归分析，SII与重度抑郁症风险独立相关（P<0.05）。SII每增加1个单位和1个标准差，重度抑郁症风险分别增加0.1%和25.3%（比值比：1.001，95%置信区间：1.000-1.001，P=0.008；比值比：1.253，95%置信区间：1.061-1.480，P=0.008），LogSII每增加1个单位，重度抑郁症风险增加124.8%（比值比：2.248，95%置信区间：1.231-4.106，P=0.008）。亚组分析和敏感性分析显示，SII与多个特定人群的重度抑郁症风险之间存在显著关联（P<0.05）。ROC曲线分析显示，使用SII预测重度抑郁症风险的曲线下面积（AUC）值为0.585（95%置信区间：0.507-0.591，P=0.024）。
较高的SII值与更高的重度抑郁症风险密切相关。
