Literature DB >> 25299872

Role of adenosine deaminase and the influence of age on the diagnosis of pleural tuberculosis.

F C Abrao1, I R L Bruno de Abreu1, D H Miyake, D H Miyaki1, M A M Busico2, R N Younes3.   

Abstract

OBJECTIVE: 1) To determine factors affecting adenosine deaminase (ADA) levels in pleural fluid (PF), and 2) to establish the optimal ADA cut-off level for a Brazilian population.
DESIGN: ADA levels in PF of 309 patients were analysed to investigate pleural effusion. All patients were evaluated for age, sex and presence of tuberculosis (TB) based on a positive pleural biopsy. Differences in ADA levels between groups were analysed using Kruskal-Wallis one-way analysis of variance. Logistic regression analysis was also carried out to predict the occurrence of TB. ADA cut-off levels were selected using the receiver operating characteristic (ROC) curve.
RESULTS: The mean PF ADA level was significantly higher in the tuberculous pleural group than in non-tuberculous pleural patients (63.3 ± 29 IU/l vs. 19 ± 31 IU/l, P < 0.001). There was a significant correlation between PF ADA levels and age: for patients aged ⩾45 years, the ROC curve for ADA had an area under the curve of 0.91. An ADA level of 29 IU/l resulted in a sensitivity of 88.6% and specificity of 91.5%.
CONCLUSIONS: There is a significant negative correlation between PF ADA level and age. The use of a lower ADA cut-off reduces the number of false-negative results.

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Year:  2014        PMID: 25299872     DOI: 10.5588/ijtld.14.0257

Source DB:  PubMed          Journal:  Int J Tuberc Lung Dis        ISSN: 1027-3719            Impact factor:   2.373


  11 in total

1.  Repeatability of pleural adenosine deaminase measurements in diagnostic evaluation of pleural effusions.

Authors:  Ourania S Kotsiou; Panagiota Tzortzi; Rafailia A A Beta; Athanasios Kyritsis; Konstantinos I Gourgoulianis
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Review 2.  Advances in the diagnosis of tuberculous pleuritis.

Authors:  José M Porcel
Journal:  Ann Transl Med       Date:  2016-08

Review 3.  Diagnosis and treatment of extrapulmonary tuberculosis.

Authors:  Ji Yeon Lee
Journal:  Tuberc Respir Dis (Seoul)       Date:  2015-04-02

4.  Pleural effusion adenosine deaminase: a candidate biomarker to discriminate between Gram-negative and Gram-positive bacterial infections of the pleural space.

Authors:  Ruolin Li; Junli Wang; Xinfeng Wang; Maoshui Wang
Journal:  Clinics (Sao Paulo)       Date:  2016-05       Impact factor: 2.365

5.  Influence of age on the diagnostic accuracy of soluble biomarkers for tuberculous pleural effusion: a post hoc analysis.

Authors:  Chun-Guo Jiang; Wen Wang; Qiong Zhou; Xiu-Zhi Wu; Xiao-Juan Wang; Zhen Wang; Kan Zhai; Huan-Zhong Shi
Journal:  BMC Pulm Med       Date:  2020-06-22       Impact factor: 3.317

6.  Identifying tuberculous pleural effusion using artificial intelligence machine learning algorithms.

Authors:  Zenghua Ren; Yudan Hu; Ling Xu
Journal:  Respir Res       Date:  2019-10-16

7.  Diagnostic Value of Pleural Effusion Mononuclear Cells Count and Adenosine Deaminase for Tuberculous Pleurisy Patients in China: A Case-Control Study.

Authors:  Xiaoli Lei; Junli Wang; Zhigang Yang; Shengli Zhou; Zhiwei Xu
Journal:  Front Med (Lausanne)       Date:  2019-12-17

8.  Role of cancer ratio and other new parameters in the differential diagnosis of malignant pleural effusion.

Authors:  Zenghua Ren; Ling Xu
Journal:  Clinics (Sao Paulo)       Date:  2021-04-26       Impact factor: 2.365

9.  Diagnosis of tuberculous pleurisy with combination of adenosine deaminase and interferon-γ immunospot assay in a tuberculosis-endemic population: A prospective cohort study.

Authors:  Han-Yan Xu; Cheng-Ye Li; Shan-Shan Su; Li Yang; Min Ye; Jun-Ru Ye; Pei-Pei Ke; Cheng-Shui Chen; Yu-Peng Xie; Yu-Ping Li
Journal:  Medicine (Baltimore)       Date:  2017-11       Impact factor: 1.817

10.  Application of Venn's diagram in the diagnosis of pleural tuberculosis using IFN-γ, IP-10 and adenosine deaminase.

Authors:  Ana Paula Santos; Raquel da Silva Corrêa; Marcelo Ribeiro-Alves; Ana Carolina Oliveira Soares da Silva; Thiago Thomaz Mafort; Janaína Leung; Geraldo Moura Batista Pereira; Luciana Silva Rodrigues; Rogério Rufino
Journal:  PLoS One       Date:  2018-08-27       Impact factor: 3.240

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