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Development and validation of a prediction model for tuberculous pleural effusion: a large cohort study and external validation
BACKGROUND: Distinguishing tuberculous pleural effusion (TPE) from non-tuberculosis (TB) benign pleural effusion (BPE) remains to be a challenge in clinical practice. The aim of the present study was to develop and validate a novel nomogram for diagnosing TPE. METHODS: In this retrospective analysis...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145463/ https://www.ncbi.nlm.nih.gov/pubmed/35624515 http://dx.doi.org/10.1186/s12931-022-02051-4 |
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author | Liu, Yanqing Liang, Zhigang Yuan, Songbo Wang, Shanshan Guo, Fei Peng, Weidong Yang, Jing Wu, Aihua |
author_facet | Liu, Yanqing Liang, Zhigang Yuan, Songbo Wang, Shanshan Guo, Fei Peng, Weidong Yang, Jing Wu, Aihua |
author_sort | Liu, Yanqing |
collection | PubMed |
description | BACKGROUND: Distinguishing tuberculous pleural effusion (TPE) from non-tuberculosis (TB) benign pleural effusion (BPE) remains to be a challenge in clinical practice. The aim of the present study was to develop and validate a novel nomogram for diagnosing TPE. METHODS: In this retrospective analysis, a total of 909 consecutive patients with TPE and non-TB BPE from Ningbo First Hospital were divided into the training set and the internal validation set at a ratio of 7:3, respectively. The clinical and laboratory features were collected and analyzed by logistic regression analysis. A diagnostic model incorporating selected variables was developed and was externally validated in a cohort of 110 patients from another hospital. RESULTS: Six variables including age, effusion lymphocyte, effusion adenosine deaminase (ADA), effusion lactatedehy drogenase (LDH), effusion LDH/effusion ADA, and serum white blood cell (WBC) were identified as valuable parameters used for developing a nomogram. The nomogram showed a good diagnostic performance in the training set. A novel scoring system was then established based on the nomogram to distinguish TPE from non-TB BPE. The scoring system showed good diagnostic performance in the training set [area under the curve (AUC) (95% confidence interval (CI)), 0.937 (0.917–0.957); sensitivity, 89.0%, and specificity, 89.5%], the internal validation set [AUC (95%CI), 0.934 (0.902–0.966); sensitivity, 88.7%, and specificity, 90.3%], and the external validation set [(AUC (95%CI), 0.941 (0.891–0.991); sensitivity, 93.6%, and specificity, 87.5%)], respectively. CONCLUSIONS: The study developed and validated a novel scoring system based on a nomogram originated from six clinical parameters. The novel scoring system showed a good diagnostic performance in distinguishing TPE from non-TB BPE and can be conveniently used in clinical settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-02051-4. |
format | Online Article Text |
id | pubmed-9145463 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91454632022-05-29 Development and validation of a prediction model for tuberculous pleural effusion: a large cohort study and external validation Liu, Yanqing Liang, Zhigang Yuan, Songbo Wang, Shanshan Guo, Fei Peng, Weidong Yang, Jing Wu, Aihua Respir Res Research BACKGROUND: Distinguishing tuberculous pleural effusion (TPE) from non-tuberculosis (TB) benign pleural effusion (BPE) remains to be a challenge in clinical practice. The aim of the present study was to develop and validate a novel nomogram for diagnosing TPE. METHODS: In this retrospective analysis, a total of 909 consecutive patients with TPE and non-TB BPE from Ningbo First Hospital were divided into the training set and the internal validation set at a ratio of 7:3, respectively. The clinical and laboratory features were collected and analyzed by logistic regression analysis. A diagnostic model incorporating selected variables was developed and was externally validated in a cohort of 110 patients from another hospital. RESULTS: Six variables including age, effusion lymphocyte, effusion adenosine deaminase (ADA), effusion lactatedehy drogenase (LDH), effusion LDH/effusion ADA, and serum white blood cell (WBC) were identified as valuable parameters used for developing a nomogram. The nomogram showed a good diagnostic performance in the training set. A novel scoring system was then established based on the nomogram to distinguish TPE from non-TB BPE. The scoring system showed good diagnostic performance in the training set [area under the curve (AUC) (95% confidence interval (CI)), 0.937 (0.917–0.957); sensitivity, 89.0%, and specificity, 89.5%], the internal validation set [AUC (95%CI), 0.934 (0.902–0.966); sensitivity, 88.7%, and specificity, 90.3%], and the external validation set [(AUC (95%CI), 0.941 (0.891–0.991); sensitivity, 93.6%, and specificity, 87.5%)], respectively. CONCLUSIONS: The study developed and validated a novel scoring system based on a nomogram originated from six clinical parameters. The novel scoring system showed a good diagnostic performance in distinguishing TPE from non-TB BPE and can be conveniently used in clinical settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-02051-4. BioMed Central 2022-05-27 2022 /pmc/articles/PMC9145463/ /pubmed/35624515 http://dx.doi.org/10.1186/s12931-022-02051-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Liu, Yanqing Liang, Zhigang Yuan, Songbo Wang, Shanshan Guo, Fei Peng, Weidong Yang, Jing Wu, Aihua Development and validation of a prediction model for tuberculous pleural effusion: a large cohort study and external validation |
title | Development and validation of a prediction model for tuberculous pleural effusion: a large cohort study and external validation |
title_full | Development and validation of a prediction model for tuberculous pleural effusion: a large cohort study and external validation |
title_fullStr | Development and validation of a prediction model for tuberculous pleural effusion: a large cohort study and external validation |
title_full_unstemmed | Development and validation of a prediction model for tuberculous pleural effusion: a large cohort study and external validation |
title_short | Development and validation of a prediction model for tuberculous pleural effusion: a large cohort study and external validation |
title_sort | development and validation of a prediction model for tuberculous pleural effusion: a large cohort study and external validation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145463/ https://www.ncbi.nlm.nih.gov/pubmed/35624515 http://dx.doi.org/10.1186/s12931-022-02051-4 |
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