局解手术学杂志2026，Vol.35Issue(6)：518-522,5.DOI:10.11659/jjssx.08E025084
基于血清学指标的联合诊断模型对脊柱感染性疾病的价值
Diagnostic value of a combined diagnostic model based on serological indicators for infectious diseases of the spine
摘要
Abstract
Objective To evaluate the diagnostic value of serological indicators for infectious diseases of the spine(IDS).Methods A retrospective analysis was conducted on the clinical data of 105 patients with IDS and 75 patients with non-infectious diseases of the spine(non-IDS)admitted to the Department of Orthopedics of General Hospital of Southern Theater Command from January 2018 to April 2025.Univariate analysis was used to compare the differences in serological indicators of patients between the two groups,while Logistic regression analysis was used to analyze the related factors of IDS and establish a combined diagnostic model.Receiver operating characteristic curve was employed to assess the diagnostic efficacy of serological indicators for IDS.Results In the IDS group,there were 41 cases(39.05%)of Gram-positive bacterial infection,23 cases(21.90%)of Gram-negative bacterial infection,and 41 cases(39.05%)of Mycobacterium tuber-culosis infection.There were significant differences between the two groups in terms of albumin,total bilirubin(TBIL),serum creatinine,neutrophil count,lymphocyte count(LY),monocyte count,platelet count,C-reactive protein(CRP),erythrocyte sedimentation rate(ESR),and procalcitonin(P<0.05).Multivariate analysis revealed that ESR and CRP were the independent risk factors for IDS,while TBIL and LY served as protective factors.The combined diagnostic model constructed based on TBIL,LY,ESR,and CRP demonstrated a diagnostic accuracy of 81.11%through the Hosmer-Lemeshow test(χ²=2.342,P=0.969).The model's sensitivity was 75.24%,the specificity was 93.33%,the positive likelihood ratio was 11.29,the negative likelihood ratio was 0.27,and area under the curve for diagnosing IDS was 0.908(95%CI:0.856 to 0.946).Conclusion This combined diagnostic model based on serological indicators can be utilized for the early rapid screening of IDS,which can significantly improve the diagnostic accuracy.关键词
血清学指标/脊柱感染性疾病/联合诊断模型/诊断价值Key words
serological indicators/infectious diseases of the spine/combined diagnostic model/diagnostic value分类
医药卫生引用本文复制引用
刘洁,蔡学究,郑娜,易建华,王昕辉,刘慧婵,韩冬,张亮达,梁钟标,戴建强..基于血清学指标的联合诊断模型对脊柱感染性疾病的价值[J].局解手术学杂志,2026,35(6):518-522,5.基金项目
广东省医学科学技术研究基金项目(A2023315) （A2023315）
