Loading…

Diagnosing tuberculous pleural effusion using clinical data and pleural fluid analysis

Summary Background Tuberculous pleural effusions (TPE) are common. The diagnosis is often problematic. As the determination of ADA is often unavailable in some countries, the aim of this study was to evaluate the diagnostic usefulness of other data from pleural fluid analysis, in young patients from...

Full description

Saved in:
Bibliographic Details
Published in:Respiratory medicine 2010, Vol.104 (8), p.1211-1217
Main Authors: Valdés, Luis, San José, M Esther, Pose, Antonio, Gude, Francisco, González-Barcala, Francisco J, Álvarez-Dobaño, José M, Sahn, Steven A
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Summary Background Tuberculous pleural effusions (TPE) are common. The diagnosis is often problematic. As the determination of ADA is often unavailable in some countries, the aim of this study was to evaluate the diagnostic usefulness of other data from pleural fluid analysis, in young patients from populations with high prevalence of tuberculosis (TB). Methods We analysed 218 patients with pleural effusion (165 tuberculous, 21 infectious, 11 neoplastic, 16 miscellaneous, 3 idiopathic). We performed two regression models; one included pleural fluid ADA values (model 1), and the other without ADA (model 2). Results Model 1 selected two variables (ADA >35 U/L) and lymphocytes (>31.5%) and correctly classified 216/218 effusions (1 false negative, 1 false positive). Model 2 (without ADA) selected three variables: lymphocytes (>31.5%), fever and cough, and correctly classified 207/218 effusions (8 false negatives, 3 false positives). The sensitivity of models 1 and 2 was 99.4% and 95.2%, specificity 98.1% and 94.3% and accuracy 99% and 95%. Conclusions In geographic areas with high prevalence of TB and a low prevalence of HIV, in young patients (≤40 years), it is possible to confidently diagnose TPE with either of the two regression tree models, with the utility of ADA providing superior sensitivity, specificity, and accuracy.
ISSN:0954-6111
1532-3064
DOI:10.1016/j.rmed.2010.02.025