Shen Jiayan, Dai Shuncong, Huang Yingshuang, Fan Xiuqin, Zhao Shuhui, Wang Zejun
Department of Gastroenterology, Linping Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, Zhejiang Province, PR China.
Department of Ultrasound, Linping Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, Zhejiang Province, PR China.
Medicine (Baltimore). 2025 Aug 1;104(31):e43545. doi: 10.1097/MD.0000000000043545.
This study aims to investigate the values of related inflammation indicators in predicting the degree of liver fibrosis in patients with chronic hepatitis B (CHB). A 1-year retrospective study was conducted. The 120 CHB patients in the case group were divided into the non-fibrosis group (n = 26), mild-moderate fibrosis group (n = 34), severe fibrosis group (n = 27), and cirrhosis group (n = 33) based on the results of liver transient elastography. A total of 28 healthy individuals were included in the control group. Systemic immune inflammation index (SII), platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio, and monocyte-to-lymphocyte ratio were observed and compared. There was a significant correlation between liver fibrosis and SII, NLR, and PLR (P < .001), with the strongest correlation between liver fibrosis and SII (r = -0.952). With an area under the receiver operating characteristic curve of 0.982, an SII ≤ 353.605 had the best sensitivity accuracy (97.9%) for the detection of any grade of liver fibrosis. The 5 combined indicators had the highest specificity accuracy (96.2%). In limited-resource settings, the SII could serve as a new strategy for predicting the degree of liver fibrosis in CHB patients and was superior to the PLR and NLR.
本研究旨在探讨相关炎症指标在预测慢性乙型肝炎（CHB）患者肝纤维化程度中的价值。进行了一项为期1年的回顾性研究。根据肝脏瞬时弹性成像结果，将病例组的120例CHB患者分为无纤维化组（n = 26）、轻度至中度纤维化组（n = 34）、重度纤维化组（n = 27）和肝硬化组（n = 33）。对照组纳入28名健康个体。观察并比较全身免疫炎症指数（SII）、血小板与淋巴细胞比值（PLR）、中性粒细胞与淋巴细胞比值（NLR）、淋巴细胞与单核细胞比值以及单核细胞与淋巴细胞比值。肝纤维化与SII、NLR和PLR之间存在显著相关性（P <.001），肝纤维化与SII之间的相关性最强（r = -0.952）。受试者工作特征曲线下面积为0.982时，SII≤353.605对任何程度肝纤维化的检测具有最佳的灵敏度准确性（97.9%）。5项联合指标具有最高的特异性准确性（96.2%）。在资源有限的情况下，SII可作为预测CHB患者肝纤维化程度的新策略，且优于PLR和NLR。
