Ulusoy Bahar Özdemir, Armağan Berkan, Erdoğan Esra Kayacan, Maraş Yüksel, Doğan İsmail, Orhan Kevser, Güven Serdar Can, Atalar Ebru, Konak Hatice Ecem, Dağlı Pınar Akyüz, Omma Ahmet, Küçükşahin Orhan, Erten Şükran, Babaoğlu Hakan
Ankara Gaziler Physical Therapy and Rehabilitation Training and Research Hospital, Department of Rheumatology, Ankara, Turkey.
Ankara City Hospital, Department of Rheumatology, Ankara, Turkey.
Biomark Med. 2025 Mar;19(5):149-156. doi: 10.1080/17520363.2025.2473312. Epub 2025 Mar 2.
This study aims to investigate discriminatory ability of the Systemic Immune-Inflammation Index (SII), Systemic Inflammation Response Index (SIRI), and Neutrophil Percentage-to-Albumin Ratio (NPAR), in differentiating Behçet's Syndrome (BS) organ involvements from mucocutaneous involvement.
This retrospective cohort study analyzed 436 patients diagnosed with BS from 2018 to 2023. Patients were categorized into three groups based on organ involvement: vascular, only mucocutaneous, and other organ involvement. Receiver Operating Characteristic (ROC) analysis was used to evaluate the discriminatory ability (mucocutaneous vs rest, vascular vs rest). DeLong's test was used to determine statistical differences in discriminatory power between the models.
Out of 436, 115 patients had vascular involvement. SII, SIRI, and NPAR were notably elevated in the vascular involvement group ( < 0.001). ROC analysis revealed that, SII, SIRI and NPAR showed discriminative ability for vascular involvement with AUCs of 0.87 for SII, 0.87 for SIRI, and 0.88 for NPAR. Pairwise comparisons using DeLong's test indicated that all three models performed similarly.
SII, SIRI, and NPAR are promising noninvasive biomarkers for predicting vascular involvement. These indices, derived from routine laboratory tests, could enhance early screening and may improve patient outcomes by enabling timely intervention.
本研究旨在探讨全身免疫炎症指数（SII）、全身炎症反应指数（SIRI）和中性粒细胞百分比与白蛋白比值（NPAR）在区分白塞病（BS）的器官受累与黏膜皮肤受累方面的鉴别能力。
这项回顾性队列研究分析了2018年至2023年期间诊断为白塞病的436例患者。根据器官受累情况将患者分为三组：血管受累组、仅黏膜皮肤受累组和其他器官受累组。采用受试者工作特征（ROC）分析来评估鉴别能力（黏膜皮肤受累组与其他组、血管受累组与其他组）。使用德龙检验来确定模型之间鉴别力的统计学差异。
在436例患者中，115例有血管受累。血管受累组的SII、SIRI和NPAR显著升高（<0.001）。ROC分析显示，SII、SIRI和NPAR对血管受累具有鉴别能力，SII的曲线下面积（AUC）为0.87，SIRI为0.87，NPAR为0.88。使用德龙检验进行的两两比较表明，所有三个模型的表现相似。
SII、SIRI和NPAR是预测血管受累的有前景的非侵入性生物标志物。这些源自常规实验室检查的指标可以加强早期筛查，并通过及时干预改善患者预后。
