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贝赫切特病活动与全身性免疫炎症指数升高的相关性:三级医疗机构的回顾性观察研究。

The association between Behçet disease activity and elevated systemic immune-inflammation index: A retrospective observational study in a tertiary care hospital.

机构信息

Department of Dermatology and Venereology, Hacettepe University, Faculty of Medicine, Ankara 6100, Turkey.

出版信息

Natl Med J India. 2024 Mar-Apr;37(2):74-78. doi: 10.25259/NMJI_212_2022.

Abstract

Background The systemic immune-inflammation index (SII) is a novel marker for predicting the prognosis in patients with various diseases and cancers. We aimed to investigate the relationship between SII and disease activity in patients with Behçet disease (BD). Methods Our retrospective study included 513 patients with BD aged ≥18 years. The patients were classified into an active group (n=355) and an inactive group (n=158). Pearson correlation analysis was performed to elucidate correlations between the SII and other markers. Binary logistic regression analysis was used to determine BD-related risk factors. Receiver operating characteristic (ROC) curves were computed to assess cut-offs for the predictive value of the SII and other markers. Results Patients with active BD had a significantly higher SII (p<0.001) than those in the inactive group. ROC analysis revealed that the optimal SII cut-off value to identify BD activity was 526.23, with 70.4% sensitivity and 70.3% specificity. Pearson correlation coefficient (r) demonstrated a significant positive correlation between SII, and the C-reactive protein level (r=0.427, p<0.001), erythrocyte sedimentation rate (r=0.422, p<0.001), platelet- lymphocyte ratio (r=0.711, p<0.001), and neutrophil- lymphocyte ratio (r=0.672, p<0.001). According to binary logistic regression analysis, the SII (odds ratio [OR] 1.003; 95% confidence interval [CI] 1.001-1.004; p=0.002) was an independent risk factor for active BD. Conclusion The SII can be considered a novel predictor of BD activity.

摘要

背景

全身性免疫炎症指数(SII)是一种预测各种疾病和癌症患者预后的新型标志物。我们旨在研究 SII 与白塞病(BD)患者疾病活动度之间的关系。

方法

我们的回顾性研究纳入了 513 名年龄≥18 岁的 BD 患者。患者分为活动组(n=355)和非活动组(n=158)。采用 Pearson 相关分析阐明 SII 与其他标志物之间的相关性。采用二元逻辑回归分析确定与 BD 相关的危险因素。计算受试者工作特征(ROC)曲线以评估 SII 和其他标志物的预测价值的截断值。

结果

活动期 BD 患者的 SII 明显高于非活动期患者(p<0.001)。ROC 分析显示,SII 识别 BD 活动的最佳截断值为 526.23,具有 70.4%的敏感性和 70.3%的特异性。Pearson 相关系数(r)表明 SII 与 C 反应蛋白水平(r=0.427,p<0.001)、红细胞沉降率(r=0.422,p<0.001)、血小板-淋巴细胞比(r=0.711,p<0.001)和中性粒细胞-淋巴细胞比(r=0.672,p<0.001)之间存在显著正相关。根据二元逻辑回归分析,SII(比值比[OR]1.003;95%置信区间[CI]1.001-1.004;p=0.002)是 BD 活动的独立危险因素。

结论

SII 可作为 BD 活动的新型预测指标。

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