全身免疫炎症指数及血小板与白蛋白比值对全膝关节置换术后早期伤口并发症的预测价值
The Predictive Value of the Systemic Immune-Inflammation Index and Platelet-to-Albumin Ratio for Early Wound Complications after Total Knee Arthroplasty
DOI: 10.12677/acm.2026.1682775, PDF,   
作者: 戴腾飞, 张家铭:承德医学院研究生学院,河北 承德;刘镒宁:华北理工大学研究生学院,河北 唐山;边劲松*:沧州市人民医院关节骨科,河北 沧州
关键词: 全膝关节置换术;全身免疫炎症指数;血小板与白蛋白比值;切口并发症;Total Knee Arthroplasty; Systemic Immune-Inflammation Index; Platelet-to-Albumin Ratio; Wound Complications
摘要: 目的:全膝关节置换术(TKA)术后伤口并发症显著影响患者预后及医疗成本。可靠的术前生物标志物对于识别高风险患者至关重要,这有助于优化患者管理并降低并发症的发生率。本研究评估了全身免疫炎症指数(SII)及血小板与白蛋白比值(PAR)对全膝关节置换术后伤口并发症的预测价值。方法:回顾性分析2024年1月至2025年9月于沧州市人民医院关节骨科一区接受膝关节置换术治疗的患者,共纳入149例患者。术前采集血液样本检测血小板、白蛋白、中性粒细胞计数及淋巴细胞计数,用于计算全身免疫炎症指数(SII)及血小板与白蛋白比值(PAR)。监测患者预后,记录术后2周内伤口并发症(如持续性伤口引流、血肿、血清肿、皮肤糜烂及伤口裂开)。根据有无早期切口并发症分为两组。结果:对两组患者的基础资料进行比较分析,结果显示年龄、性别、高血压、糖尿病、吸烟史、饮酒史、ASA评分、术前血红蛋白、淋巴细胞计数方面两组无统计学差异(P > 0.05)。术前血小板、中性粒细胞计数、血清白蛋白、BMI、SII、PAR方面两组存在统计学差异(P < 0.05)。SII (OR: 1.004, 95% CI: 1.001~1.008, P = 0.024)和PAR (OR: 2.109, 95% CI: 1.055~4.216, P = 0.035)均被确定为全膝关节置换术(TKA)后发生切口并发症相关的独立危险因素。ROC分析显示,SII的最佳临界值为915.56 (曲线下面积[AUC]:0.899,灵敏性94.1%,特异度87.9%),PAR的最佳临界值为6.975 (AUC:0.900,灵敏性88.2%,特异度86.4%)。结论:术前SII和PAR升高可有效预测TKA术后伤口并发症,支持其作为临床实践中简单、经济高效的生物标志物的实用性。将SII和PAR评估纳入术前评估可增强患者分层和预防策略,从而降低风险并改善手术结局。
Abstract: Objective: Postoperative wound complications following total knee arthroplasty (TKA) significantly impact patient prognosis and healthcare costs. Reliable preoperative biomarkers are crucial for identifying high-risk patients, which aids in optimizing patient management and reducing the incidence of complications. This study evaluates the predictive value of the systemic immune-inflammation index (SII) and platelet-to-albumin ratio (PAR) for wound complications after TKA. Methods: A retrospective analysis was conducted on 149 patients who underwent knee arthroplasty in the First Department of Joint Orthopedics at Cangzhou People’s Hospital between January 2024 and September 2025. Preoperative blood samples were collected to measure platelet count, albumin level, neutrophil count, and lymphocyte count for calculating SII and PAR. Patient outcomes were monitored, and wound complications (such as persistent wound drainage, hematoma, seroma, skin erosion, and wound dehiscence) within two weeks postoperatively were recorded. The patients were divided into two groups based on the presence or absence of early incision complications. Results: Comparative analysis of baseline characteristics revealed no statistically significant differences between the two groups in terms of age, sex, hypertension, diabetes, smoking history, alcohol consumption history, ASA score, preoperative hemoglobin, or lymphocyte count (P > 0.05). However, statistically significant differences were observed in preoperative platelet count, neutrophil count, serum albumin, BMI, SII, and PAR (P < 0.05). Both SII (OR: 1.004, 95% CI: 1.001~1.008, P = 0.024) and PAR (OR: 2.109, 95% CI: 1.055~4.216, P = 0.035) were identified as independent risk factors associated with incision complications after TKA. ROC analysis demonstrated that the optimal cutoff value for SII was 915.56 (AUC: 0.899, sensitivity 94.1%, specificity 87.9%), and for PAR was 6.975 (AUC: 0.900, sensitivity 88.2%, specificity 86.4%). Conclusion: Elevated preoperative SII and PAR levels effectively predict wound complications after TKA, supporting their utility as simple and cost-effective biomarkers in clinical practice. Integrating SII and PAR assessments into preoperative evaluations may enhance patient stratification and preventive strategies, thereby reducing risks and improving surgical outcomes.
文章引用:戴腾飞, 刘镒宁, 张家铭, 边劲松. 全身免疫炎症指数及血小板与白蛋白比值对全膝关节置换术后早期伤口并发症的预测价值[J]. 临床医学进展, 2026, 16(8): 84-92. https://doi.org/10.12677/acm.2026.1682775

参考文献

[1] Klug, A., Gramlich, Y., Rudert, M., Drees, P., Hoffmann, R., Weißenberger, M., et al. (2021) The Projected Volume of Primary and Revision Total Knee Arthroplasty Will Place an Immense Burden on Future Health Care Systems over the Next 30 Years. Knee Surgery, Sports Traumatology, Arthroscopy, 29, 3287-3298.
https://doi.org/10.1007/s00167-020-06154-7
[2] Passias, P.G., Bono, O.J. and Bono, J.V. (2020) Total Knee Arthroplasty in Patients of Advanced Age: A Look at Outcomes and Complications. The Journal of Knee Surgery, 33, 1-7.
https://doi.org/10.1055/s-0038-1676067
[3] DeMik, D.E., Carender, C.N., An, Q., Callaghan, J.J., Brown, T.S. and Bedard, N.A. (2022) Longer Length of Stay Is Associated with More Early Complications after Total Knee Arthroplasty. Iowa Orthopedic Journal, 42, 53-59.
[4] Aziz, M.H., Sideras, K., Aziz, N.A., Mauff, K., Haen, R., Roos, D., et al. (2019) The Systemic-Immune-Inflammation Index Independently Predicts Survival and Recurrence in Resectable Pancreatic Cancer and Its Prognostic Value Depends on Bilirubin Levels: A Retrospective Multicenter Cohort Study. Annals of Surgery, 270, 139-146.
https://doi.org/10.1097/sla.0000000000002660
[5] Fest, J., Ruiter, R., Mulder, M., Groot Koerkamp, B., Ikram, M.A., Stricker, B.H., et al. (2020) The Systemic Immune‐Inflammation Index Is Associated with an Increased Risk of Incident Cancer—A Population‐Based Cohort Study. International Journal of Cancer, 146, 692-698.
https://doi.org/10.1002/ijc.32303
[6] Jenne, C.N. and Kubes, P. (2015) Platelets in Inflammation and Infection. Platelets, 26, 286-292.
https://doi.org/10.3109/09537104.2015.1010441
[7] Chen, C.B., Hammo, B., Barry, J. and Radhakrishnan, K. (2021) Overview of Albumin Physiology and Its Role in Pediatric Diseases. Current Gastroenterology Reports, 23, Article No. 11.
https://doi.org/10.1007/s11894-021-00813-6
[8] Guo, M., Sun, T., Zhao, Z. and Ming, L. (2021) Preoperative Platelet to Albumin Ratio Predicts Outcome of Patients with Non-Small-Cell Lung Cancer. Annals of Thoracic and Cardiovascular Surgery, 27, 84-90.
https://doi.org/10.5761/atcs.oa.20-00090
[9] Huang, C., Xia, Y.Q., Xiao, L., Huang, J. and Zhu, Z.M. (2021) Combining the Platelet-to-Albumin Ratio with Serum and Pathologic Variables to Establish a Risk Assessment Model for Lymph Node Metastasis of Gastric Cancer. Journal of Biological Regulators and Homeostatic Agents, 35, Article ID: 3987.
https://doi.org/10.23812/20-626-l
[10] 国家卫生健康委加速康复外科专家委员会骨科专家组, 中国研究型医院学会骨科加速康复专业委员会, 中国康复技术转化及促进会骨科加速康复专业委员会. 骨科加速康复手术切口操作与并发症防治专家共识[J]. 中华骨与关节外科杂志, 2022, 15(10): 776-784.
[11] 许宏, 谢锦伟, 雷一霆, 等. 地塞米松及氨甲环酸在全髋全膝关节置换术中抗炎作用的研究进展[J]. 中国骨与关节杂志, 2020, 9(6): 439-444.
[12] 边焱焱, 程开源, 常晓, 等. 2011至2019年中国人工髋膝关节置换手术量的初步统计与分析[J]. 中华骨科杂志, 2020, 40(21): 1453-1460.
[13] Shichman, I., Roof, M., Askew, N., Nherera, L., Rozell, J.C., Seyler, T.M., et al. (2023) Projections and Epidemiology of Primary Hip and Knee Arthroplasty in Medicare Patients to 2040-2060. JBJS Open Access, 8, e22.00112.
https://doi.org/10.2106/jbjs.oa.22.00112
[14] Domecky, P., Rejman Patkova, A., Mala-Ladova, K. and Maly, J. (2021) Inflammatory Blood Parameters as Prognostic Factors for Surgical Site Infection after Primary Hip or Knee Arthroplasty: A Systematic Review Protocol. BMJ Open, 11, e046027.
https://doi.org/10.1136/bmjopen-2020-046027
[15] Jämsen, E., Huhtala, H., Puolakka, T. and Moilanen, T. (2009) Risk Factors for Infection after Knee Arthroplasty. The Journal of Bone and Joint Surgery-American Volume, 91, 38-47.
https://doi.org/10.2106/jbjs.g.01686
[16] Hu, B., Yang, X., Xu, Y., Sun, Y., Sun, C., Guo, W., et al. (2014) Systemic Immune-Inflammation Index Predicts Prognosis of Patients after Curative Resection for Hepatocellular Carcinoma. Clinical Cancer Research, 20, 6212-6222.
https://doi.org/10.1158/1078-0432.ccr-14-0442
[17] Islam, M.M., Satici, M.O. and Eroglu, S.E. (2024) Unraveling the Clinical Significance and Prognostic Value of the Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, Systemic Immune-Inflammation Index, Systemic Inflammation Response Index, and Delta Neutrophil Index: An Extensive Literature Review. Turkish Journal of Emergency Medicine, 24, 8-19.
https://doi.org/10.4103/tjem.tjem_198_23
[18] Kim, J., Jung, J., Suh, C. and Kim, H. (2021) Systemic Immune-Inflammation Index Combined with Ferritin Can Serve as a Reliable Assessment Score for Adult-Onset Still’s Disease. Clinical Rheumatology, 40, 661-668.
https://doi.org/10.1007/s10067-020-05266-2
[19] Qian, H., Chen, R., Wang, B., Yuan, X., Chen, S., Liu, Y., et al. (2020) Associations of Platelet Count with Inflammation and Response to Anti-TNF-α Therapy in Patients with Ankylosing Spondylitis. Frontiers in Pharmacology, 11, Article 559593.
https://doi.org/10.3389/fphar.2020.559593
[20] Bozan, N., Alpaycı, M., Aslan, M., Cankaya, H., Kıroglu, A.F., Turan, M., et al. (2016) Mean Platelet Volume, Red Cell Distribution Width, Platelet-to-Lymphocyte and Neutrophil-to-Lymphocyte Ratios in Patients with Ankylosing Spondylitis and Their Relationships with High-Frequency Hearing Thresholds. European Archives of Oto-Rhino-Laryngology, 273, 3663-3672.
https://doi.org/10.1007/s00405-016-3980-y
[21] Kim, S., McClave, S.A., Martindale, R.G., Miller, K.R. and Hurt, R.T. (2017) Hypoalbuminemia and Clinical Outcomes: What Is the Mechanism behind the Relationship? The American Surgeon™, 83, 1220-1227.
https://doi.org/10.1177/000313481708301123
[22] Man, S.L., Chau, W., Chung, K. and Ho, K.K.W. (2020) Hypoalbuminemia and Obesity Class II Are Reliable Predictors of Peri-Prosthetic Joint Infection in Patient Undergoing Elective Total Knee Arthroplasty. Knee Surgery & Related Research, 32, Article No. 21.
https://doi.org/10.1186/s43019-020-00040-9
[23] Fury, M.S., Klemt, C., Barghi, A., Tirumala, V., van den Kieboom, J. and Kwon, Y. (2021) Preoperative Serum C-Reactive Protein/Albumin Ratio Is a Predictor of Complications after Single-Stage Revision for the Treatment of Periprosthetic Joint Infection. Journal of the American Academy of Orthopaedic Surgeons, 29, e1013-e1024.
https://doi.org/10.5435/jaaos-d-20-00613
[24] Cui, R., Wang, Y., Tao, Y., Tong, Q., Chen, Z. and Dai, S. (2023) Platelet to Albumin Ratio Is an Independent Indicator for Disease Activity in Ankylosing Spondylitis. Clinical Rheumatology, 42, 407-413.
https://doi.org/10.1007/s10067-022-06439-x