The Korean Journal of Internal Medicine (Jan 2022)

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,
  • Chang Ho Kim

DOI
https://doi.org/10.3904/kjim.2020.246
Journal volume & issue
Vol. 37, no. 1
pp. 137 – 145

Abstract

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Background/Aims Pleural 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. Methods Patients 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. Results A 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 to 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. Conclusions A 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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