复合炎症指标预测老年股骨粗隆间骨折术后小腿肌间静脉血栓形成的研究进展
Research Progress on the Predictive Value of Composite Inflammatory Indicators for Intermuscular Venous Thrombosis in the Calf Following Intertrochanteric Fracture Surgery in Elderly Patients
摘要: 老年股骨粗隆间骨折(IFF)患者术后易发生小腿肌间静脉血栓(MCVT),目前早期预警仍缺乏简便、灵敏工具。近年研究提出,把常规血常规中的中性粒细胞、淋巴细胞、单核细胞和血小板进行组合,可得到全身炎症反应指数(SIRI)、全身免疫炎症指数(SII)、中性粒细胞/淋巴细胞比值(NLR)、血小板/淋巴细胞比值(PLR)及单核细胞/淋巴细胞比(MLR)等复合指标。这些指标同时反映炎症与凝血激活状态,在骨折后的“免疫–血栓”过程中发挥关键预测作用。基于炎症标志物建立的复合炎症指标有望成为IFF术后MCVT风险评估的有效指标,对准确评估病情、识别血栓风险、改善预后具有现实意义。
Abstract: Postoperative patients with intertrochanteric fractures (IFF) in the elderly are prone to develop muscle interstitial venous thrombosis (MCVT) in the lower leg. Currently, there is still a lack of simple and sensitive early warning tools. Recent studies have proposed that by combining neutrophils, lymphocytes, monocytes and platelets in routine blood tests, composite indicators such as systemic inflammatory response index (SIRI), systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR) can be obtained. These indicators simultaneously reflect the inflammatory and coagulation activation states and play a key predictive role in the “immune-thrombosis” process after fractures. Composite inflammatory indicators based on inflammatory markers are expected to become effective indicators for assessing the risk of MCVT after IFF surgery, which is of practical significance for accurately evaluating the condition, identifying thrombosis risks, and improving prognosis.
文章引用:吴秀琴, 张锡平. 复合炎症指标预测老年股骨粗隆间骨折术后小腿肌间静脉血栓形成的研究进展[J]. 临床医学进展, 2025, 15(12): 711-717. https://doi.org/10.12677/acm.2025.15123462

参考文献

[1] Pereira, B.M., Dorigatti, A.E., Calderon, L.G.M.B., Negrão, M., Meirelles, G. and Duchesne, J.C. (2019) Pre-Hospital Environment Bleeding: From History to Future Prospects. Anaesthesiology Intensive Therapy, 51, 240-248. [Google Scholar] [CrossRef] [PubMed]
[2] 彭江南, 王昊晨, 张亮, 等. 老年髋部骨折后静脉血栓栓塞症风险预测模型的构建及预测效能[J]. 中南大学学报(医学版), 2021, 46(2): 142-148.
[3] Chen, X., Fan, Y., Tu, H., Chen, J. and Li, R. (2024) A Nomogram Model Based on the Systemic Immune-Inflammation Index to Predict the Risk of Venous Thromboembolism in Elderly Patients after Hip Fracture: A Retrospective Cohort Study. Heliyon, 10, e28389. [Google Scholar] [CrossRef] [PubMed]
[4] Zeng, G., Li, X., Li, W., Wen, Z., Wang, S., Zheng, S., et al. (2023) A Nomogram Model Based on the Combination of the Systemic Immune-Inflammation Index, Body Mass Index, and Neutrophil/Lymphocyte Ratio to Predict the Risk of Preoperative Deep Venous Thrombosis in Elderly Patients with Intertrochanteric Femoral Fracture: A Retrospective Cohort Study. Journal of Orthopaedic Surgery and Research, 18, Article No. 561. [Google Scholar] [CrossRef] [PubMed]
[5] Kimball, A.S., Obi, A.T., Diaz, J.A. and Henke, P.K. (2016) The Emerging Role of Nets in Venous Thrombosis and Immunothrombosis. Frontiers in Immunology, 7, Article 236. [Google Scholar] [CrossRef] [PubMed]
[6] Cedervall, J., Herre, M., Dragomir, A., Rabelo-Melo, F., Svensson, A., Thålin, C., et al. (2022) Neutrophil Extracellular Traps Promote Cancer-Associated Inflammation and Myocardial Stress. OncoImmunology, 11, Article ID: 2049487. [Google Scholar] [CrossRef] [PubMed]
[7] Schneck, E., Mallek, F., Schiederich, J., Kramer, E., Markmann, M., Hecker, M., et al. (2020) Flow Cytometry-Based Quantification of Neutrophil Extracellular Traps Shows an Association with Hypercoagulation in Septic Shock and Hypocoagulation in Postsurgical Systemic Inflammation—A Proof-Of-Concept Study. Journal of Clinical Medicine, 9, Article 174. [Google Scholar] [CrossRef] [PubMed]
[8] D’Ugo, E., Libby, P. and De Caterina, R. (2016) Inflammation and Thrombosis—Testing the Hypothesis with Anti-Inflammatory Drug Trials. Thrombosis and Haemostasis, 116, 1012-1021. [Google Scholar] [CrossRef] [PubMed]
[9] Sachetto, A.T.A. and Mackman, N. (2023) Monocyte Tissue Factor Expression: Lipopolysaccharide Induction and Roles in Pathological Activation of Coagulation. Thrombosis and Haemostasis, 123, 1017-1033. [Google Scholar] [CrossRef] [PubMed]
[10] Aleman, M.M., Gardiner, C., Harrison, P. and Wolberg, A.S. (2011) Differential Contributions of Monocyte‐ and Platelet‐Derived Microparticles Towards Thrombin Generation and Fibrin Formation and Stability. Journal of Thrombosis and Haemostasis, 9, 2251-2261. [Google Scholar] [CrossRef] [PubMed]
[11] Li, J., He, D., Yu, J., Chen, S., Wu, Q., Cheng, Z., et al. (2022) Dynamic Status of SII and SIRI Alters the Risk of Cardiovascular Diseases: Evidence from Kailuan Cohort Study. Journal of Inflammation Research, 15, 5945-5957. [Google Scholar] [CrossRef] [PubMed]
[12] Hottz, E.D., Bozza, F.A. and Bozza, P.T. (2018) Platelets in Immune Response to Virus and Immunopathology of Viral Infections. Frontiers in Medicine, 5, Article 121. [Google Scholar] [CrossRef] [PubMed]
[13] Fuchs, T.A., Brill, A., Duerschmied, D., Schatzberg, D., Monestier, M., Myers, D.D., et al. (2010) Extracellular DNA Traps Promote Thrombosis. Proceedings of the National Academy of Sciences of the United States of America, 107, 15880-15885. [Google Scholar] [CrossRef] [PubMed]
[14] Koupenova, M., Clancy, L., Corkrey, H.A. and Freedman, J.E. (2018) Circulating Platelets as Mediators of Immunity, Inflammation, and Thrombosis. Circulation Research, 122, 337-351. [Google Scholar] [CrossRef] [PubMed]
[15] Vieira-de-Abreu, A., Campbell, R.A., Weyrich, A.S. and Zimmerman, G.A. (2011) Platelets: Versatile Effector Cells in Hemostasis, Inflammation, and the Immune Continuum. Seminars in Immunopathology, 34, 5-30. [Google Scholar] [CrossRef] [PubMed]
[16] Gao, J., Zhang, Z., Yan, J., Ge, Y. and Gao, Y. (2023) Inflammation and Coagulation Abnormalities via the Activation of the HMGB1-RAGE/NF-κB and F2/Rho Pathways in Lung Injury Induced by Acute Hypoxia. International Journal of Molecular Medicine, 52, Article 67. [Google Scholar] [CrossRef] [PubMed]
[17] Ziegler-Heitbrock, L., Ancuta, P., Crowe, S., Dalod, M., Grau, V., Hart, D.N., et al. (2010) Nomenclature of Monocytes and Dendritic Cells in Blood. Blood, 116, e74-e80. [Google Scholar] [CrossRef] [PubMed]
[18] Melinte, R.M., Negrut, M.F., Oltean-Dan, D., Ivanescu, A.D., Magdas, T., Antal, O., et al. (2025) A Brief Report on the Association of Preoperative Hematological Indices and Acute Deep Vein Thrombosis Following Total Hip Arthroplasty for Osteoarthritis. The Journal of Critical Care Medicine, 11, 192-197. [Google Scholar] [CrossRef] [PubMed]
[19] Melinte, R., Arbănași, E., Blesneac, A., Zolog, D., Kaller, R., Mureșan, A., et al. (2022) Inflammatory Biomarkers as Prognostic Factors of Acute Deep Vein Thrombosis Following the Total Knee Arthroplasty. Medicina, 58, Article 1502. [Google Scholar] [CrossRef] [PubMed]
[20] Xue, J., Ma, D., Jiang, J. and Liu, Y. (2021) Diagnostic and Prognostic Value of Immune/Inflammation Biomarkers for Venous Thromboembolism: Is It Reliable for Clinical Practice? Journal of Inflammation Research, 14, 5059-5077. [Google Scholar] [CrossRef] [PubMed]
[21] Ates, H., Ates, I., Kundi, H. and Yilmaz, F.M. (2016) Diagnostic Validity of Hematologic Parameters in Evaluation of Massive Pulmonary Embolism. Journal of Clinical Laboratory Analysis, 31, e22072. [Google Scholar] [CrossRef] [PubMed]
[22] Seo, W., Park, M., Kim, S.E., Lee, J., Park, D., Han, K., et al. (2019) Neutrophil–lymphocyte Ratio as a Predictor of Venous Thromboembolism after Total Knee Replacement. The Journal of Knee Surgery, 34, 171-177. [Google Scholar] [CrossRef] [PubMed]
[23] Farah, R., Nseir, W., Kagansky, D. and Khamisy‐Farah, R. (2019) The Role of Neutrophil‐Lymphocyte Ratio, and Mean Platelet Volume in Detecting Patients with Acute Venous Thromboembolism. Journal of Clinical Laboratory Analysis, 34, e23010. [Google Scholar] [CrossRef] [PubMed]
[24] Fuentes, H.E., Oramas, D.M., Paz, L.H., Wang, Y., Andrade, X.A. and Tafur, A.J. (2017) Venous Thromboembolism Is an Independent Predictor of Mortality among Patients with Gastric Cancer. Journal of Gastrointestinal Cancer, 49, 415-421. [Google Scholar] [CrossRef] [PubMed]
[25] Yao, C., Zhang, Z., Yao, Y., Xu, X., Jiang, Q. and Shi, D. (2018) Predictive Value of Neutrophil to Lymphocyte Ratio and Platelet to Lymphocyte Ratio for Acute Deep Vein Thrombosis after Total Joint Arthroplasty: A Retrospective Study. Journal of Orthopaedic Surgery and Research, 13, Article No. 40. [Google Scholar] [CrossRef] [PubMed]
[26] 陈奕殷. NLR联合肿瘤标志物诊断肺癌的价值[J]. 临床医学, 2025, 45(10): 68-72.
[27] Roguin, N., Cohen, A., Yahud, E., et al. (2025) Comparison of the Prognostic Significance of Inflammatory and Thrombotic Indices in Patients with Cardiovascular and Infectious Diseases. The Israel Medical Association Journal, 27, 442-447.
[28] 马娜娜, 岳金龙, 张鹏飞, 等. 彩色多普勒超声在小腿肌间静脉血栓诊断及鉴别诊断中的价值[J]. 实用医技杂志,2020, 27(4): 439-441.