Cargando…
A diagnostic model for differentiating tuberculous spondylitis from pyogenic spondylitis: a retrospective case–control study
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...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293228/ https://www.ncbi.nlm.nih.gov/pubmed/37365238 http://dx.doi.org/10.1038/s41598-023-36965-w |
_version_ | 1785062955019141120 |
---|---|
author | Liu, Yu Xi Lei, Fei Zheng, Li Peng Yuan, Hao Zhou, Qing Zhong Feng, Da Xiong |
author_facet | Liu, Yu Xi Lei, Fei Zheng, Li Peng Yuan, Hao Zhou, Qing Zhong Feng, Da Xiong |
author_sort | Liu, Yu Xi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10293228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102932282023-06-28 A diagnostic model for differentiating tuberculous spondylitis from pyogenic spondylitis: a retrospective case–control study Liu, Yu Xi Lei, Fei Zheng, Li Peng Yuan, Hao Zhou, Qing Zhong Feng, Da Xiong Sci Rep Article 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. Nature Publishing Group UK 2023-06-26 /pmc/articles/PMC10293228/ /pubmed/37365238 http://dx.doi.org/10.1038/s41598-023-36965-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Liu, Yu Xi Lei, Fei Zheng, Li Peng Yuan, Hao Zhou, Qing Zhong Feng, Da Xiong A diagnostic model for differentiating tuberculous spondylitis from pyogenic spondylitis: a retrospective case–control study |
title | A diagnostic model for differentiating tuberculous spondylitis from pyogenic spondylitis: a retrospective case–control study |
title_full | A diagnostic model for differentiating tuberculous spondylitis from pyogenic spondylitis: a retrospective case–control study |
title_fullStr | A diagnostic model for differentiating tuberculous spondylitis from pyogenic spondylitis: a retrospective case–control study |
title_full_unstemmed | A diagnostic model for differentiating tuberculous spondylitis from pyogenic spondylitis: a retrospective case–control study |
title_short | A diagnostic model for differentiating tuberculous spondylitis from pyogenic spondylitis: a retrospective case–control study |
title_sort | diagnostic model for differentiating tuberculous spondylitis from pyogenic spondylitis: a retrospective case–control study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293228/ https://www.ncbi.nlm.nih.gov/pubmed/37365238 http://dx.doi.org/10.1038/s41598-023-36965-w |
work_keys_str_mv | AT liuyuxi adiagnosticmodelfordifferentiatingtuberculousspondylitisfrompyogenicspondylitisaretrospectivecasecontrolstudy AT leifei adiagnosticmodelfordifferentiatingtuberculousspondylitisfrompyogenicspondylitisaretrospectivecasecontrolstudy AT zhenglipeng adiagnosticmodelfordifferentiatingtuberculousspondylitisfrompyogenicspondylitisaretrospectivecasecontrolstudy AT yuanhao adiagnosticmodelfordifferentiatingtuberculousspondylitisfrompyogenicspondylitisaretrospectivecasecontrolstudy AT zhouqingzhong adiagnosticmodelfordifferentiatingtuberculousspondylitisfrompyogenicspondylitisaretrospectivecasecontrolstudy AT fengdaxiong adiagnosticmodelfordifferentiatingtuberculousspondylitisfrompyogenicspondylitisaretrospectivecasecontrolstudy AT liuyuxi diagnosticmodelfordifferentiatingtuberculousspondylitisfrompyogenicspondylitisaretrospectivecasecontrolstudy AT leifei diagnosticmodelfordifferentiatingtuberculousspondylitisfrompyogenicspondylitisaretrospectivecasecontrolstudy AT zhenglipeng diagnosticmodelfordifferentiatingtuberculousspondylitisfrompyogenicspondylitisaretrospectivecasecontrolstudy AT yuanhao diagnosticmodelfordifferentiatingtuberculousspondylitisfrompyogenicspondylitisaretrospectivecasecontrolstudy AT zhouqingzhong diagnosticmodelfordifferentiatingtuberculousspondylitisfrompyogenicspondylitisaretrospectivecasecontrolstudy AT fengdaxiong diagnosticmodelfordifferentiatingtuberculousspondylitisfrompyogenicspondylitisaretrospectivecasecontrolstudy |