Literature DB >> 12761453

Differentiating tuberculous from malignant pleural effusions: a scoring model.

José Manuel Porcel1, Manuel Vives.   

Abstract

BACKGROUND: Patients with tuberculous or malignant pleural effusions frequently have similar clinical manifestations and pleural fluid profile. The aim of our study was to derive a simple clinical score for differential diagnosis of these two clinical entities. MATERIAL/
METHODS: Our retrospective study involved 106 patients with tuberculous pleurisy and 286 with malignant effusions, seen during a 9-year period. Clinical and laboratory variables with (model 1) and without (model 2) the addition of pleural adenosine deaminase entered into a multivariate analysis to calculate a scoring system (range 0 to 10) for the detection of tuberculous effusions.
RESULTS: In model 1, four variables predicted a tuberculous etiology: adenosine deaminase > or = 40 U/L (5 points), age <35 years (2), temperature > or 37.8 degrees C (2), and pleural fluid red blood cell count < 5 x 10(9)/L (1). In addition to the last three items, model 2 identified other predictive parameters: no history of malignancy (3), pleural protein > or = 50 g/L (1), and pleural fluid to serum lactate dehydrogenase ratio > or 2.2 (1). Summated scores of > or 5 in model 1 and > or 6 in model 2 yielded measures of sensitivity (95% and 97%), and specificity (94% and 91%) for discriminating tuberculous from malignant effusions, respectively. The area under the ROC curve for models 1 and 2 was 0.987 and 0.982, respectively.
CONCLUSIONS: The combination of clinical data and pleural fluid chemistry profile into a score-based model can facilitate differential diagnosis between tuberculous and malignant effusions.

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Year:  2003        PMID: 12761453

Source DB:  PubMed          Journal:  Med Sci Monit        ISSN: 1234-1010


  14 in total

1.  Diagnosing malignant pleural effusion using clinical and analytical parameters.

Authors:  Yong Pan; Wenjing Bai; Jiangnan Chen; Yijian Mao; Xiaohong Qian; Ke Xu; Shaohua Tang; Junwu Zhang; Chong Chen; Jingyi Chen; Xingzhong Hu
Journal:  J Clin Lab Anal       Date:  2018-11-02       Impact factor: 2.352

2.  Predictive models for tuberculous pleural effusions in a high tuberculosis prevalence region.

Authors:  Ersin Demirer; Andrew C Miller; Erdogan Kunter; Zafer Kartaloglu; Scott D Barnett; Elamin M Elamin
Journal:  Lung       Date:  2011-11-06       Impact factor: 2.584

Review 3.  Diagnostic tests for tuberculous pleural effusion.

Authors:  E E McGrath; P B Anderson
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2010-06-16       Impact factor: 3.267

Review 4.  Advances in the diagnosis of tuberculous pleuritis.

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

5.  Diagnostic Potential of Circulating Biomarkers in Adenosine Deaminase Diagnosed Pleural Tuberculosis Cases.

Authors:  Bineeta Kashyap; Nisha Goyal; N P Singh; Iqbal R Kaur
Journal:  Indian J Clin Biochem       Date:  2017-08-01

Review 6.  Tuberculous pleural effusion.

Authors:  José M Porcel
Journal:  Lung       Date:  2009-08-13       Impact factor: 2.584

7.  A stepwise approach to the etiologic diagnosis of pleural effusion in respiratory intensive care unit and short-term evaluation of treatment.

Authors:  Nilesh J Chinchkar; Deepak Talwar; Sushil K Jain
Journal:  Lung India       Date:  2015 Mar-Apr

8.  Pleural tuberculosis in the state of Roraima, Brazil, between 2005 and 2013: quality of diagnosis.

Authors:  Tao Machado; Allex Jardim da Fonseca; Sandra Maria Franco Buenafuente
Journal:  J Bras Pneumol       Date:  2016-04       Impact factor: 2.624

9.  Clinical diagnostic utility of IP-10 and LAM antigen levels for the diagnosis of tuberculous pleural effusions in a high burden setting.

Authors:  Keertan Dheda; Richard N Van-Zyl Smit; Leonardo A Sechi; Motasim Badri; Richard Meldau; Gregory Symons; Hoosein Khalfey; Igshaan Carr; Alice Maredza; Rodney Dawson; Helen Wainright; Andrew Whitelaw; Eric D Bateman; Alimuddin Zumla
Journal:  PLoS One       Date:  2009-03-11       Impact factor: 3.240

10.  Challenges in the development of an immunochromatographic interferon-gamma test for diagnosis of pleural tuberculosis.

Authors:  Claudia M Denkinger; Yatiraj Kalantri; Samuel G Schumacher; Joy S Michael; Deepa Shankar; Arvind Saxena; Natarajan Sriram; Thangakunam Balamugesh; Robert Luo; Nira R Pollock; Madhukar Pai; Devasahayam J Christopher
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

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