ArticleScientific reports2023
A diagnostic model for differentiating tuberculous spondylitis from pyogenic spondylitis: a retrospective case-control study.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Recommendations of the International Consensus Meeting (ICM) 2025 on Spinal Infections: Part A Pyogenic Spondylodiscitis.Global spine journal · 2026Article
- Differentiating Tuberculous and Pyogenic Spondylodiscitis: Part II: MRI/CT Features, Prediction Models, and the Role of PET/CT-A Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- Differentiating Tuberculous and Pyogenic Spondylodiscitis: Part I-Epidemiology, Clinical Features, Laboratory Markers, and Tissue-Based Diagnosis.Diagnostics (Basel, Switzerland) · 2026Review
- Development and validation of a nomogram for differential diagnosis of pyogenic spondylitis and tuberculous spondylitis in China: a multicenter retrospective study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Epidural abscess signal (EAS) and vertebral body signal (VBS) scores: MRI-based quantitative tools for early differentiation of pyogenic and tuberculous spondylitis to reduce inappropriate empirical therapy.Journal of orthopaedic surgery and research · 2026Article
- Incremental value of quantitative SPECT/CT integrated parameters in a multimodal machine-learning model for differentiating spinal tuberculosis from pyogenic spondylitis.Frontiers in cellular and infection microbiology · 2026Article
- Direct pedicle screw fixation in infected vertebrae for acute pyogenic spondylitis: short-term outcomes from a single-arm retrospective study.Frontiers in cellular and infection microbiology · 2026Article
- A comprehensive analysis of magnetic resonance imaging and laboratory features in pyogenic, tuberculous, brucellar, and fungal spondylitis.Quantitative imaging in medicine and surgery · 2025Article
- Hematologic Inflammation Indices for Differentiating between Brucella, Pyogenic, and Tuberculous Spondylodiscitis.Biomedicines · 2024Article
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6 authors.
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Abstract
The purpose of this study was to describe and compare the clinical data, laboratory examination and imaging examination of tuberculous spondylitis (TS) and pyogenic spondylitis (PS), and to provide ideas for diagnosis and treatment intervention. The patients with TS or PS diagnosed by pathology who first occurred in our hospital from September 2018 to November 2021 were studied retrospectively. The clinical data, laboratory results and imaging findings of the two groups were analyzed and compared. The diagnostic model was constructed by binary logistic regression. In addition, an external validation group was used to verify the effectiveness of the diagnostic model. A total of 112 patients were included, including 65 cases of TS with an average age of 49 ± 15 years, 47 cases of PS with an average of 56 ± 10 years. The PS group had a significantly older age than the TS group (P = 0.005). In laboratory examination, there were significant differences in WBC, neutrophil (N), lymphocyte (L), ESR, CRP, fibrinogen (FIB), serum albumin (A) and sodium (Na). The difference was also statistically significant in the comparison of imaging examinations at epidural abscesses, paravertebral abscesses, spinal cord compression, involvement of cervical, lumbar and thoracic vertebrae. This study constructed a diagnostic model, which was Y (value of TS > 0.5, value of PS < 0.5) = 1.251 * X1 (thoracic vertebrae involved = 1, thoracic vertebrae uninvolved = 0) + 2.021 * X2 (paravertebral abscesses = 1, no paravertebral abscess = 0) + 2.432 * X3 (spinal cord compression = 1, no spinal cord compression = 0) + 0.18 * X4 (value of serum A)-4.209 * X5 (cervical vertebrae involved = 1, cervical vertebrae uninvolved = 0)-0.02 * X6 (value of ESR)-0.806 * X7 (value of FIB)-3.36. Furthermore, the diagnostic model was validated using an external validation group, indicating a certain value in diagnosing TS and PS. This study puts forward a diagnostic model for the diagnosis of TS and PS in spinal infection for the first time, which has potential guiding value in the diagnosis of them and provides a certain reference for clinical work.
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