中国组织工程研究

中国组织工程研究 ›› 2026, Vol. 30 ›› Issue (30): 7984-7988.doi: 10.12307/2026.950

• 组织构建综述 tissue construction review • 上一篇    下一篇

系统性炎症指数生物标志物在临床诊疗中的应用

吴可非1，罗静静2，赵阳阳2，王金金1，杜姝姝2，吴晓燕2，龚  倩1   

  1. 1复旦大学附属中山医院青浦分院，上海市   201700；2上海市青浦区中医医院，上海市   201700
  • 收稿日期:2026-04-22 修回日期:2026-05-12 出版日期:2026-10-28 发布日期:2026-09-15
  • 通讯作者: 龚倩，硕士生导师，主任技师，复旦大学附属中山医院青浦分院，上海市 201700 共同通讯作者：吴晓燕，主任技师，上海市青浦区中医医院，上海市 201700
  • 作者简介:第一作者：吴可非，男，1994年生，上海市人，主管技师，主要从事研究代谢与免疫在肿瘤微环境中的协同作用。
  • 基金资助:
    上海市卫生健康委面上项目(202340050)，项目负责人：龚倩；上海市青浦区卫生健康系统第五轮学科带头人培养(XD2023-42)，项目负责人：吴晓燕

Application of the systemic inflammation index in clinical diagnosis and treatment

Wu Kefei1, Luo Jingjing2, Zhao Yangyang2, Wang Jinjin1, Du Shushu2, Wu Xiaoyan2, Gong Qian1   

  1. 1Department of Clinical Laboratory, Qingpu Branch of Zhongshan Hospital, Fudan University, Shanghai 201700, China; 2Department of Laboratory Medicine, Shanghai Qingpu Traditional Chinese Medicine Hospital, Shanghai 201700, China
  • Received:2026-04-22 Revised:2026-05-12 Online:2026-10-28 Published:2026-09-15
  • Contact: Gong Qian, Master’s supervisor, Chief technologist, Department of Clinical Laboratory, Qingpu Branch of Zhongshan Hospital, Fudan University, Shanghai 201700, China Co-corresponding author: Wu Xiaoyan, Chief technologist, Department of Laboratory Medicine, Shanghai Qingpu Traditional Chinese Medicine Hospital, Shanghai 201700, China
  • About author:Wu Kefei, Technologist in charge, Department of Clinical Laboratory, Qingpu Branch of Zhongshan Hospital, Fudan University, Shanghai 201700, China
  • Supported by:
    Shanghai Municipal Health Commission General Program, No. 202340050 (to GQ); Qingpu District Healthcare Committee Discipline Leader Project, No. XD2023-42 (to WXY)

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摘要：



文题释义：
系统性炎症指数：是基于外周血常规数据计算得出的一个复合指标，计算公式为：系统性炎症指数= (血小板计数×中性粒细胞计数) /淋巴细胞计数。
系统性炎症反应指数：是一个新型炎症标志物，计算公式为：系统性炎症反应指数= (中性粒细胞计数×单核细胞计数) /淋巴细胞计数。

背景：系统性炎症指数作为一种生物标志物，能够综合反映机体的炎症状态，近年来在临床医学领域引起广泛的关注。
目的：系统综述系统性炎症指数及其衍生指标在肿瘤、心血管疾病、神经系统疾病、感染性疾病及自身免疫性疾病等领域的研究进展。
方法：检索PubMed、Web of Science和Embase数据库收录的相关文献，检索文献时限为各数据库建库至2025年12月，检索词为“Systemic Inflammation Index，Systemic Immune-Inflammation Index (SII)，Inflammatory Biomarker，Neoplasm，Cancer，Cardiovascular Disease，Stroke，Infection，Autoimmune Disease，Prognosis，Diagnosis”，最终纳入55篇文献进行综述和大数据分析。
结果与结论：系统性炎症指数通过整合外周血中性粒细胞、淋巴细胞及血小板的计数，能更全面地揭示炎症反应的复杂性。大量研究表明，系统性炎症指数在肿瘤的诊断、预后评估及治疗反应监测中具有显著价值。在多种实体瘤中，高系统性炎症指数与较差的总生存期显著相关。系统性炎症指数在心血管疾病、感染性疾病及自身免疫性疾病等多种疾病的临床管理中也逐步发挥着重要作用。然而，不同研究间系统性炎症指数的最佳截断值存在显著异质性，且预测价值在不同亚群中存在局限性。未来的研究应加强多中心、大样本前瞻性验证，建立疾病特异性参考范围，并结合机器学习等新兴技术，推动系统性炎症指数在精准医学中的应用。
https://orcid.org/0009-0008-3907-5372  (吴可非) 


中国组织工程研究杂志出版内容重点：干细胞；骨髓干细胞；造血干细胞；脂肪干细胞；肿瘤干细胞；胚胎干细胞；脐带脐血干细胞；干细胞诱导；干细胞分化；组织工程

关键词: 系统性炎症指数, 炎症标志物, 临床诊疗, 预后评估, 肿瘤, 心血管疾病

Abstract: BACKGROUND: The systemic inflammation index, as an emerging biomarker that comprehensively reflects the body’s inflammatory status, has attracted widespread attention in the field of clinical medicine in recent years.
OBJECTIVE: To systematically summarize the research progress in the systemic inflammation index and its derived indicators across multiple disease areas, including oncology, cardiovascular diseases, neurological disorders, infectious diseases, and autoimmune diseases.
METHODS: A literature search was conducted in the PubMed database, Web of Science, and Embase. The search timeframe spanned from the inception of the database to December 2025. The search terms included “Systemic Inflammation Index,” “Systemic Immune-Inflammation Index (SII),” “Inflammatory Biomarker,” “Neoplasm,” “Cancer,” “Cardiovascular Disease,” “Stroke,” “Infection,” “Autoimmune Disease,” “Prognosis,” and “Diagnosis.” A total of 55 articles were ultimately included for review.
RESULTS AND CONCLUSION: By integrating counts of peripheral blood neutrophils, lymphocytes, and platelets, the systemic inflammation index offers a more comprehensive reflection of the complexity of inflammatory responses. A substantial body of research indicates that the systemic inflammation index shows significant value in the diagnosis, prognostic evaluation, and treatment response monitoring of tumors. Across various solid tumors, a high systemic inflammatory index is significantly associated with poorer overall survival. Simultaneously, it is increasingly playing an important role in the clinical management of various other diseases, including cardiovascular diseases, infectious diseases, and autoimmune disorders. However, there is significant heterogeneity among studies regarding the optimal cutoff values for systemic inflammation indices, and their predictive value is limited across different subgroups. Future research should strengthen multicenter, large-scale prospective validation studies, establish disease-specific reference ranges, and integrate emerging technologies such as machine learning to advance the application of systemic inflammation indices in precision medicine.


Key words: systemic inflammation index, inflammatory biomarker, clinical diagnosis and treatment, prognostic assessment, neoplasm, cardiovascular disease

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