Diagnostic value of a combined diagnostic model based on serological indicators for infectious diseases of the spine

LIU Jie; ZHENG Na; YI Jian-hua; WANG Xin-hui; LIU Hui-chan; HAN Dong; ZHANG Liang-da; LIANG Zhong-biao; DAI Jian-qiang; CAI Xue-jiu

doi:10.11659/jjssx.08E025084

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Diagnostic value of a combined diagnostic model based on serological indicators for infectious diseases of the spine

Clinical Research | 更新时间：2026-06-16

- Diagnostic value of a combined diagnostic model based on serological indicators for infectious diseases of the spine
- JOURNAL OF REGIONAL ANATOMY AND OPERATIVE SURGERY Vol. 35, Issue 6, Pages: 518-522(2026)
- 作者机构：
  
  南部战区总医院骨科，广东广州 510010
- 作者简介：
- 基金信息：
- DOI：10.11659/jjssx.08E025084
  CLC： R446.1
- Received：22 August 2025，
  
  Published：25 June 2026
- 稿件说明：
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刘洁,郑娜,易建华等.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(06):518-522.

LIU Jie,ZHENG Na,YI Jian-hua,et al.Diagnostic value of a combined diagnostic model based on serological indicators for infectious diseases of the spine[J].JOURNAL OF REGIONAL ANATOMY AND OPERATIVE SURGERY,2026,35(06):518-522.
刘洁,郑娜,易建华等.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(06):518-522. DOI： 10.11659/jjssx.08E025084.

LIU Jie,ZHENG Na,YI Jian-hua,et al.Diagnostic value of a combined diagnostic model based on serological indicators for infectious diseases of the spine[J].JOURNAL OF REGIONAL ANATOMY AND OPERATIVE SURGERY,2026,35(06):518-522. DOI： 10.11659/jjssx.08E025084.

摘要

目的

评估血清学指标对脊柱感染性疾病（IDS）的诊断价值。

方法

回顾性分析2018年1月至2025年4月南部战区总医院骨科收治的105例IDS患者（IDS组）和75例非感染性脊柱疾病（non-IDS）患者（non-IDS组）的临床资料。采用单因素分析比较2组患者的血清学指标差异，采用

Logistic

回归分析IDS相关因素并建立联合诊断模型。采用受试者工作特征曲线评估血清学指标对IDS的诊断效能。

结果

IDS组中，革兰氏阳性菌感染41例（39.05%）、革兰氏阴性菌感染23例（21.90%）、结核分枝杆菌感染41例（39.05%）。2组间在白蛋白、总胆红素（TBIL）、血清肌酐、中性粒细胞计数、淋巴细胞计数（LY）、单核细胞计数、血小板计数、C反应蛋白（CRP）、血沉（ESR）和降钙素原等指标方面均存在显著差异（

0.05）。多因素分析显示，ESR和CRP是IDS的独立危险因素，而TBIL和LY为保护因素。基于TBIL、LY、ESR和CRP构建的联合诊断模型经

Hosmer

Lemeshow

检验（

=2.342，

=0.969）显示，诊断准确率为81.11%。该模型诊断IDS的敏感度为75.24%、特异度为93.33%、阳性似然比为11.29、阴性似然比为0.27、曲线下面积为0.908（95%

：0.856~0.946）。

结论

基于血清学指标的联合诊断模型可用于IDS的早期快速筛查并显著提高诊断准确性。

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 effica

cy 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 tuberculosis 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 （

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

（

²=2.342，

=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%

：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

Keywords

references

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