文章摘要
李红燕,范攀龙,宁新创,等.基于球蛋白的比值指标在假体周围感染诊断中的作用.骨科,2026,17(5): 441-444, 451.
基于球蛋白的比值指标在假体周围感染诊断中的作用
The role of globulin-based ratio indices in the diagnosis of periprosthetic joint infection
投稿时间:2025-09-22  
DOI:10.3969/j.issn.1674-8573.2026.05.006
中文关键词: 假体周围感染  球蛋白  无菌性松动  标志物
英文关键词: Periprosthetic joint infection  Globulin  Aseptic loosening  
基金项目:河南省医学科技攻关计划省部共建项目(SBGJ202303011);河南省中青年卫生健康科技创新优秀青年人才培养项目(YXKC2021046)
作者单位E-mail
李红燕 河南医药大学,河南新乡 453003;河南省人民医院骨科,郑州 450003  
范攀龙 河南省人民医院骨科,郑州 450003;郑州大学,郑州 450001  
宁新创 河南医药大学,河南新乡 453003;河南省人民医院骨科,郑州 450003  
王晓洋 河南省人民医院骨科,郑州 450003;郑州大学,郑州 450001  
代志鹏 河南省人民医院骨科,郑州 450003;郑州大学,郑州 450001 dzp01234@163.com 
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中文摘要:
  目的 本研究旨在评估以球蛋白(globulin,GLO)为基础的比值型生物标志物在假体周围感染(PJI)诊断中的潜在价值。方法 本研究回顾性分析了2019年1月至2024年12月于河南省人民医院接受人工关节翻修术的患者资料,共纳入257例PJI患者与137例无菌性松动(aseptic loosening,AL)患者。对比两组患者血清中C反应蛋白(CRP)、GLO水平和红细胞沉降率(ESR),同时计算并比较C反应蛋白/球蛋白比值(CRP/GLO,CGR)、红细胞沉降率/球蛋白比值(ESR/GLO,EGR)及复合指标(CGR+EGR,CEGR)。采用受试者工作特征(ROC)曲线,计算对应的曲线下面积(AUC),及95%置信区间(CI),对上述各指标诊断PJI的效能进行系统评估。结果 CRP的诊断效能最佳,AUC达0.926(95% CI:0.901~0.950)。CGR、EGR与CEGR的AUC分别为0.918(95% CI:0.891~0.945)、0.876(95% CI:0.843~0.909)和0.909(95% CI:0.881~0.937),均显示出优异的鉴别能力。在具体诊断维度上,CGR的灵敏度高于CRP(82.9% vs. 73.5%),EGR的特异度高于ESR(86.1% vs. 84.7%),CEGR诊断PJI的灵敏度达81.7%、特异度高达89.8%,对PJI具有良好的综合诊断价值。结论 以GLO为基础的比值型生物标志物可作为PJI的新型辅助诊断指标,具有良好临床应用前景。
英文摘要:
    Objective This study aimed to evaluate the potential diagnostic value of globulin (GLO)-based ratio biomarkers for periprosthetic joint infection (PJI). Methods In this retrospective study, clinical data were analyzed for patients who underwent revision arthroplasty at Henan Provincial People’s Hospital between January 2019 and December 2024. A total of 257 patients with PJI and 137 patients with aseptic loosening (AL) were enrolled. Serum levels of C-reactive protein (CRP), GLO, and erythrocyte sedimentation rate (ESR) were compared between the two groups. Additionally, the CRP/GLO (CGR), ESR/GLO (EGR), and a composite index (CGR+EGR, CEGR) were calculated and compared. The diagnostic performance of these indices for PJI was systematically evaluated using receiver operating characteristic (ROC) curves and the corresponding area under the curve (AUC), 95% confidence interval (CI). Results CRP demonstrated the optimal diagnostic performance with an AUC of 0.926 (95% CI: 0.901-0.950). The AUCs for CGR, EGR, and CEGR were 0.918 (95% CI: 0.891-0.945), 0.876 (95% CI: 0.843-0.909), and 0.909 (95% CI: 0.881-0.937), respectively, indicating excellent discriminatory abilities. In terms of specific diagnostic dimensions, the sensitivity of CGR is higher than that of CRP (82.9% vs. 73.5%), and the specificity of EGR is higher than that of ESR (86.1% vs. 84.7%). CEGR demonstrates a sensitivity of 81.7% and a high specificity of 89.8% in diagnosing PJI, indicating its excellent comprehensive diagnostic value for PJI. Conclusion GLO-based ratio biomarkers can serve as novel auxiliary diagnostic indicators for PJI, demonstrating promising prospects for clinical application.
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