Zheng Ziqiang, Liu Jiali, He Taoyuan, Liu Chang
Department of Rheumatology and Immunology, Central Hospital of Dalian University of Technology, Dalian, China.
Graduate School, Dalian Medical University, Dalian, China.
Front Immunol. 2025 Jul 29;16:1606510. doi: 10.3389/fimmu.2025.1606510. eCollection 2025.
To evaluate the predictive value of systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and complement 3 in the therapeutic outcomes of systemic lupus erythematosus-associated immune thrombocytopenia (SLE-ITP).
Clinical data from 72 patients diagnosed with SLE-ITP and admitted to the Affiliated Central Hospital of Dalian University of Technology between January 2013 and September 2024 were collected and analyzed. Associations between therapeutic outcomes and clinical characteristics, as well as laboratory findings including SII and NLR, were evaluated systematically.
The patients achieved complete remission (CR) 32 (44.4%), partial remission (PR) 19 (26.4%), and no remission (NR) 21 (29.2%). SII exhibited statistically significant differences among the three groups (=0.027). The median SII values were 145.7 (43.7-238.7) for the CR group, 57.2 (20.5-90.2) for the PR group, and 117.8 (80.7-238.6) for the NR group. Additionally, complement 3 levels were significantly lower in the CR group compared to the PR and NR groups (=0.010). Logistic regression analysis revealed that the NLR was positively correlated with therapeutic efficacy (OR=1.982, 95% CI: 1.18-3.33, =0.010). SII and complement 3 were significantly negatively correlated with therapeutic outcomes (SII: OR=0.991, 95% CI: 0.984-0.998, =0.011; C3: OR=0.045, 95% CI: 0.002-0.919, =0.044). ROC curve analysis demonstrated that the combined predictive model of NLR, SII, and complement 3 achieved an area under the curve (AUC) of 0.743 (95% CI: 0.620-0.866, =0.001), specificity of 76.2%, and sensitivity of 66.7%, indicating excellent predictive efficacy.
The combined predictive model significantly enhances the predictive efficacy for SLE-ITP treatment outcomes compared to individual indicators.
评估全身免疫炎症指数（SII）、中性粒细胞与淋巴细胞比值（NLR）及补体3对系统性红斑狼疮相关免疫性血小板减少症（SLE-ITP）治疗效果的预测价值。
收集并分析2013年1月至2024年9月在大连理工大学附属中心医院确诊为SLE-ITP的72例患者的临床资料。系统评估治疗效果与临床特征以及包括SII和NLR在内的实验室检查结果之间的关联。
患者达到完全缓解（CR）32例（44.4%），部分缓解（PR）19例（26.4%），未缓解（NR）21例（29.2%）。三组间SII差异有统计学意义（=0.027）。CR组SII中位数为145.7（43.7 - 238.7），PR组为57.2（20.5 - 90.2），NR组为117.8（80.7 - 238.6）。此外，CR组补体3水平显著低于PR组和NR组（=0.010）。Logistic回归分析显示NLR与治疗疗效呈正相关（OR = 1.982，95%CI：1.18 - 3.33，=0.010）。SII和补体3与治疗效果显著负相关（SII：OR = 0.991，95%CI：0.984 - 0.998，=0.011；C3：OR = 0.045，95%CI：0.002 - 0.919，=0.044）。ROC曲线分析表明，NLR、SII和补体3的联合预测模型曲线下面积（AUC）为0.743（95%CI：0.620 - 0.866，=0.001），特异性为76.2%，敏感性为66.7%，预测效果良好。
与单个指标相比，联合预测模型显著提高了对SLE-ITP治疗效果的预测效能。
