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Korean J. Intern. Med. · Sep 2020
Laboratory and radiological discrimination between tuberculous and malignant pleural effusions with high adenosine deaminase levels.
- Jaehee Lee, Ji Eun Park, Sun Ha Choi, Hyewon Seo, Sang Yub Lee, Jae Kwang Lim, Seung Soo Yoo, Shin Yup Lee, Seung Ick Cha, Jae Yong Park, and Chang Ho Kim.
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
- Korean J. Intern. Med. 2020 Sep 29.
Background/AimsPleural fluid adenosine deaminase (ADA) levels are useful in discriminating tuberculous pleural effusions (TPEs) from malignant pleural effusions (MPEs). However, some patients with MPE exhibit high-ADA levels, which may mimic TPEs. There is limited data regarding the differential diagnosis between high-ADA MPE and high-ADA TPE. This study aimed to identify the predictors for distinguishing high-ADA MPEs from high-ADA TPEs.MethodsPatients with TPE and MPE with pleural fluid ADA levels ≥40 IU/L were included in this study. Clinical, laboratory, and radiological data were compared between the two groups. Independent predictors and their diagnostic performance for high-ADA MPEs were evaluated using multivariate logistic regression analysis and receiver operating characteristic curve.ResultsA total of 200 patients (high-ADA MPE, n = 30, and high-ADA TPE, n = 170) were retrospectively included. In the multivariate analysis, pleural fluid ADA, pleural fluid carcinoembryonic antigen (CEA), and pleural nodularity were independent discriminators between high-ADA MPE and high-ADA TPE groups. Using pleural ADA level of 40-56 IU/L (3 points), pleural CEA level ≥6 ng/mL (6 points), and presence of pleural nodularity (3 points) for predicting high-ADA MPEs, a sum score ≥6 points yielded a sensitivity of 90%, specificity of 96%, positive predictive value of 82%, negative predictive value of 98%, and area under the receiver operating characteristic curve of 0.965.ConclusionsA scoring system using three parameters may be helpful in guiding the differential diagnosis between high-ADA MPEs and high-ADA TPEs.
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