Biomarkers for distinguishing tuberculous pleural effusion from non-tuberculosis effusion: a retrospective study
Abstract Background Pleural effusion (PE) is a common clinical feature that presents a diagnostic challenge for clinicians. In this retrospective study, we aimed to assess the biomarkers, ratios, and multiple indicators in serum and Pleural effusion for the differential diagnosis of tuberculous pleu...
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| Format: | Article |
| Language: | English |
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BMC
2023-11-01
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| Series: | BMC Infectious Diseases |
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| Online Access: | https://doi.org/10.1186/s12879-023-08781-0 |
| _version_ | 1797630359807983616 |
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| author | Guo Fei Mo Yijun Jin Weijiang Chen Huimin Liu Fang |
| author_facet | Guo Fei Mo Yijun Jin Weijiang Chen Huimin Liu Fang |
| author_sort | Guo Fei |
| collection | DOAJ |
| description | Abstract Background Pleural effusion (PE) is a common clinical feature that presents a diagnostic challenge for clinicians. In this retrospective study, we aimed to assess the biomarkers, ratios, and multiple indicators in serum and Pleural effusion for the differential diagnosis of tuberculous pleural effusion (TPE) from non-tuberculosis effusion (non-TPE). Methods The participants, who were divided into two groups: TPE and non-TPE (MPE and PPE), from Ningbo First Hospital, were incorporated in this study. The clinical and laboratory features were collected and analyzed using logistic regression analysis. Twelve biomarkers and their ratios in serum and PE were investigated for TPE versus non-TPE. Additionally, the value of multiple indicators for joint diagnosis was estimated. Results Biomarkers and ratios showed good diagnostic performance. The five variables including Serum ADA, IGRA, Effusion ADA, Effusion ADA/Serum ADA and Effusion LDH/Effusion ADA were identified as valuable parameters for differential diagnosis of TPE from non-TPE. The combined diagnosis of the five indexes yielded the highest diagnostic accuracy for TPE with an AUC (0.919), sensitivity (90.30%), and specificity (94.50%). Conclusions The biomarkers and ratios demonstrated strong diagnostic performance, and the utilization of multiple indicators for joint diagnosis can improve the diagnostic efficacy of tuberculous pleurisy. |
| first_indexed | 2024-03-11T11:07:16Z |
| format | Article |
| id | doaj.art-28fe5762adc1480185bb5f9ad140189a |
| institution | Directory Open Access Journal |
| issn | 1471-2334 |
| language | English |
| last_indexed | 2024-03-11T11:07:16Z |
| publishDate | 2023-11-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Infectious Diseases |
| spelling | doaj.art-28fe5762adc1480185bb5f9ad140189a2023-11-12T12:07:56ZengBMCBMC Infectious Diseases1471-23342023-11-012311710.1186/s12879-023-08781-0Biomarkers for distinguishing tuberculous pleural effusion from non-tuberculosis effusion: a retrospective studyGuo Fei0Mo Yijun1Jin Weijiang2Chen Huimin3Liu Fang4Department of Laboratory Medicine, The First Affiliated Hospital of Ningbo UniversityDepartment of Laboratory Medicine, The First Affiliated Hospital of Ningbo UniversityDepartment of Laboratory Medicine, The First Affiliated Hospital of Ningbo UniversityDepartment of Laboratory Medicine, The First Affiliated Hospital of Ningbo UniversityDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Ningbo UniversityAbstract Background Pleural effusion (PE) is a common clinical feature that presents a diagnostic challenge for clinicians. In this retrospective study, we aimed to assess the biomarkers, ratios, and multiple indicators in serum and Pleural effusion for the differential diagnosis of tuberculous pleural effusion (TPE) from non-tuberculosis effusion (non-TPE). Methods The participants, who were divided into two groups: TPE and non-TPE (MPE and PPE), from Ningbo First Hospital, were incorporated in this study. The clinical and laboratory features were collected and analyzed using logistic regression analysis. Twelve biomarkers and their ratios in serum and PE were investigated for TPE versus non-TPE. Additionally, the value of multiple indicators for joint diagnosis was estimated. Results Biomarkers and ratios showed good diagnostic performance. The five variables including Serum ADA, IGRA, Effusion ADA, Effusion ADA/Serum ADA and Effusion LDH/Effusion ADA were identified as valuable parameters for differential diagnosis of TPE from non-TPE. The combined diagnosis of the five indexes yielded the highest diagnostic accuracy for TPE with an AUC (0.919), sensitivity (90.30%), and specificity (94.50%). Conclusions The biomarkers and ratios demonstrated strong diagnostic performance, and the utilization of multiple indicators for joint diagnosis can improve the diagnostic efficacy of tuberculous pleurisy.https://doi.org/10.1186/s12879-023-08781-0Pleural effusionTuberculous pleural effusionMycobacterium tuberculosis(Mtb)Area under the curveBiomarkersRatios |
| spellingShingle | Guo Fei Mo Yijun Jin Weijiang Chen Huimin Liu Fang Biomarkers for distinguishing tuberculous pleural effusion from non-tuberculosis effusion: a retrospective study BMC Infectious Diseases Pleural effusion Tuberculous pleural effusion Mycobacterium tuberculosis(Mtb) Area under the curve Biomarkers Ratios |
| title | Biomarkers for distinguishing tuberculous pleural effusion from non-tuberculosis effusion: a retrospective study |
| title_full | Biomarkers for distinguishing tuberculous pleural effusion from non-tuberculosis effusion: a retrospective study |
| title_fullStr | Biomarkers for distinguishing tuberculous pleural effusion from non-tuberculosis effusion: a retrospective study |
| title_full_unstemmed | Biomarkers for distinguishing tuberculous pleural effusion from non-tuberculosis effusion: a retrospective study |
| title_short | Biomarkers for distinguishing tuberculous pleural effusion from non-tuberculosis effusion: a retrospective study |
| title_sort | biomarkers for distinguishing tuberculous pleural effusion from non tuberculosis effusion a retrospective study |
| topic | Pleural effusion Tuberculous pleural effusion Mycobacterium tuberculosis(Mtb) Area under the curve Biomarkers Ratios |
| url | https://doi.org/10.1186/s12879-023-08781-0 |
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