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Analysis of Expression of Inflammatory Factors and T Cell Lymphocyte in Patients with Orthopedic Trauma after Infection and Risk Factors
Since most orthopedic patients' wounds are open in clinical practice, postoperative wound infection and other conditions are prone to occur, which pose varying degrees of threat to patients' prognosis and life and health. In this paper, a retrospective study is conducted on orthopedic trau...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534650/ https://www.ncbi.nlm.nih.gov/pubmed/36247854 http://dx.doi.org/10.1155/2022/5387005 |
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author | Lin, Yuan Chen, Xiao Lei Zhang, Tong'en |
author_facet | Lin, Yuan Chen, Xiao Lei Zhang, Tong'en |
author_sort | Lin, Yuan |
collection | PubMed |
description | Since most orthopedic patients' wounds are open in clinical practice, postoperative wound infection and other conditions are prone to occur, which pose varying degrees of threat to patients' prognosis and life and health. In this paper, a retrospective study is conducted on orthopedic trauma patients in our hospital from January 2020 to January 2022, including 98 patients with postoperative infection and 98 patients without infection, to detect and compare the levels of inflammatory factors and the level of T cell lymphatic group index difference. The ROC curve is drawn to analyze the diagnostic efficacy of postoperative infection indicators for patients with orthopedic trauma. The differences in baseline data between the two groups are compared. Multivariate Logistic regression analysis is performed on infection status. The experimental results show that the IL-6, IL-2, and CRP of the infection group of patients are significantly higher than uninfected group, and the CD3, CD4, and CD8 are significantly lower than uninfected group, which means that patients with infection after orthopedic trauma are in a disordered state of immune cytokines and function. Therefore, postoperative infection can be effectively assessed by early combined detection of the above indicators. In addition, the analysis of other clinical data showed that the operation time, the number of underlying diseases, and the surgical method are also risk factors for postoperative infection. |
format | Online Article Text |
id | pubmed-9534650 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-95346502022-10-14 Analysis of Expression of Inflammatory Factors and T Cell Lymphocyte in Patients with Orthopedic Trauma after Infection and Risk Factors Lin, Yuan Chen, Xiao Lei Zhang, Tong'en Contrast Media Mol Imaging Research Article Since most orthopedic patients' wounds are open in clinical practice, postoperative wound infection and other conditions are prone to occur, which pose varying degrees of threat to patients' prognosis and life and health. In this paper, a retrospective study is conducted on orthopedic trauma patients in our hospital from January 2020 to January 2022, including 98 patients with postoperative infection and 98 patients without infection, to detect and compare the levels of inflammatory factors and the level of T cell lymphatic group index difference. The ROC curve is drawn to analyze the diagnostic efficacy of postoperative infection indicators for patients with orthopedic trauma. The differences in baseline data between the two groups are compared. Multivariate Logistic regression analysis is performed on infection status. The experimental results show that the IL-6, IL-2, and CRP of the infection group of patients are significantly higher than uninfected group, and the CD3, CD4, and CD8 are significantly lower than uninfected group, which means that patients with infection after orthopedic trauma are in a disordered state of immune cytokines and function. Therefore, postoperative infection can be effectively assessed by early combined detection of the above indicators. In addition, the analysis of other clinical data showed that the operation time, the number of underlying diseases, and the surgical method are also risk factors for postoperative infection. Hindawi 2022-09-28 /pmc/articles/PMC9534650/ /pubmed/36247854 http://dx.doi.org/10.1155/2022/5387005 Text en Copyright © 2022 Yuan Lin et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lin, Yuan Chen, Xiao Lei Zhang, Tong'en Analysis of Expression of Inflammatory Factors and T Cell Lymphocyte in Patients with Orthopedic Trauma after Infection and Risk Factors |
title | Analysis of Expression of Inflammatory Factors and T Cell Lymphocyte in Patients with Orthopedic Trauma after Infection and Risk Factors |
title_full | Analysis of Expression of Inflammatory Factors and T Cell Lymphocyte in Patients with Orthopedic Trauma after Infection and Risk Factors |
title_fullStr | Analysis of Expression of Inflammatory Factors and T Cell Lymphocyte in Patients with Orthopedic Trauma after Infection and Risk Factors |
title_full_unstemmed | Analysis of Expression of Inflammatory Factors and T Cell Lymphocyte in Patients with Orthopedic Trauma after Infection and Risk Factors |
title_short | Analysis of Expression of Inflammatory Factors and T Cell Lymphocyte in Patients with Orthopedic Trauma after Infection and Risk Factors |
title_sort | analysis of expression of inflammatory factors and t cell lymphocyte in patients with orthopedic trauma after infection and risk factors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534650/ https://www.ncbi.nlm.nih.gov/pubmed/36247854 http://dx.doi.org/10.1155/2022/5387005 |
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