Diagnosing tuberculous pericarditis
From the Cardiology Unit/TREAD Research, Tygerberg Hospital and Stellenbosch University, Parow, South Africa
Address correspondence to Professor L. Burgess, TREAD Research, PO Box 19174, Tygerberg 7505, South Africa. email: lesley{at}treadresearch.com
Received 20 April 2006 and in revised form 22 August 2006
| Abstract |
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Background: Definitive diagnosis of tuberculous pericarditis requires isolation of the tubercle bacillus from pericardial fluid, but isolating the organism is often difficult.
Aim: To improve diagnostic efficiency for tuberculous pericarditis, using available tests.
Design: Prospective observational study.
Methods: Consecutive patients (n = 233) presenting with pericardial effusions underwent a predetermined diagnostic work-up. This included (i) clinical examination; (ii) pericardial fluid tests: biochemistry, microbiology, cytology, differential white blood cell (WBC) count, gamma interferon (IFN-
), adenosine deaminase (ADA) levels, polymerase chain reaction testing for Mycobacterium tuberculosis; (iii) HIV; (iv) sputum smear and culture; (v) blood biochemistry; and (vi) differential WBC count. A model was developed using classification and regression tree analysis. The cut-off for the total diagnostic index (DI) was optimized using receiver operating characteristic (ROC) curves.
Results: Fever, night sweats, weight loss, serum globulin (>40 g/l) and peripheral blood leukocyte count (<10 x 109/l) were independently predictive. The derived prediction model had 86% sensitivity and 84% specificity when applied to the study population. Pericardial fluid IFN-
50 pg/ml, concentration had 92% sensitivity, 100% specificity and a positive predictive value (PPV) of 100% for the diagnosis of tuberculous pericarditis; pericardial fluid ADA
40 U/l had 87% sensitivity and 89% specificity. A diagnostic model including pericardial ADA, lymphocyte/neutrophil ratio, peripheral leukocyte count and HIV status had 96% sensitivity and 97% specificity; substituting pericardial IFN-
for ADA yielded 98% sensitivity and 100% specificity.
Discussion: Basic clinical and laboratory features can aid the diagnosis of tuberculous pericarditis. If available, pericardial IFN-
is the most useful diagnostic test. Otherwise we propose a prediction model that incorporates pericardial ADA and differential WBC counts.
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