본문 바로가기
KERD
논문KCI 등재

Laboratory and radiological discrimination between tuberculous and malignant pleural effusions with high adenosine deaminase levels

2

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류내과학

초록

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.

Abstract

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.

참고문헌 (25)

  1. Krenke R, "Use of pleural fluid levels of adenosine deaminase and interferon gamma in the diagnosis of tuberculous pleuritis", Curr Opin Pulm Med, 16, pp.367~375 (2010)
  2. Liang QL, "Diagnostic accuracy of adenosine deaminase in tuberculous pleurisy : a meta-analysis", Respir Med, 102, pp.744~754 (2008)
  3. Daniil ZD, "Discrimination of exudative pleural effusions based on multiple biological parameters", Eur Respir J, 30, pp.957~964 (2007)
  4. Porcel JM, "A decision tree for differentiating tuberculous from malignant pleural effusions", Respir Med, 102, pp.1159~1164 (2008)
  5. Valdes L, "Predicting malignant and tuberculous pleural effusions through demographics and pleural fluid analysis of patients", Clin Respir J, 9, pp.203~213 (2015)
  6. Porcel JM, "Diagnostic performance of adenosine deaminase activity in pleural fluid : a single-center experience with over 2100 consecutive patients", Eur J Intern Med, 21, pp.419~423 (2010)
  7. Terra RM, "Pleural fluid adenosine deaminase(ADA)predicts survival in patients with malignant pleural effusion", Lung, 194, pp.681~686 (2016)
  8. Epelbaum O, "Contemporary approach to the patient with malignant pleural effusion complicating lung cancer", Ann Transl Med, 7, pp.352~ (2019)
  9. Porcel JM, "Biomarkers in the diagnosis of pleural diseases : a 2018 update", Ther Adv Respir Dis, 12, pp.1753466618808660~ (2018)
  10. Yang X, "Misdiagnosis of primary pleural DLBCL as tuberculosis : a case report and literature review", Mol Clin Oncol, 8, pp.729~732 (2018)
  11. Gulbay BE, "Side effects due to primary antituberculosis drugs during the initial phase of therapy in 1149 hospitalized patients for tuberculosis", Respir Med, 100, pp.1834~1842 (2006)
  12. "Tuberculosis data" (2016)[URL]
  13. Porcel JM, "Use of a panel of tumor markers(carcinoembryonic antigen, cancer antigen 125, carbohydrate antigen 15-3, and cytokeratin 19 fragments)in pleural fluid for the differential diagnosis of benign and malignant effusions", Chest, 126, pp.1757~1763 (2004)
  14. Bielsa S, "Comparison of polymorphonuclear-and lymphocyte-rich tuberculous pleural effusions", Int J Tuberc Lung Dis, 17, pp.85~89 (2013)
  15. Kim JS, "Chest CT findings of pleural tuberculosis : differential diagnosis of pleural tuberculosis and malignant pleural dissemination", Acta Radiol, 55, pp.1063~1068 (2014)
  16. Leung AN, "CT in differential diagnosis of diffuse pleural disease", AJR Am J Roentgenol, 154, pp.487~492 (1990)
  17. Arenas-Jimenez J, "Evaluation of CT findings for diagnosis of pleural effusions", Eur Radiol, 10, pp.681~690 (2000)
  18. Porcel JM, "Derivation and validation of a CT scan scoring system for discriminating malignant from benign pleural effusions", Chest, 147, pp.513~519 (2015)
  19. Hallifax RJ, "Role of CT in assessing pleural malignancy prior to thoracoscopy", Thorax, 70, pp.192~193 (2015)
  20. Porcel JM, "Tuberculous pleural effusion", Lung, 187, pp.263~270 (2009)
  21. Lee J, "Pleural fluid adenosine deaminase", serum C-reactive protein ratio for the differentiation of tuberculous and parapneumonic effusions with neutrophilic predominance and high adenosine deaminase levels, 2017, pp.45, 59~65
  22. Garcia-Pachon E, "Elevated level of carcinoembryonic antigen in nonmalignant pleural effusions", Chest, 111, pp.643~647 (1997)
  23. Ryu JS, "The implication of elevated carcinoembryonic antigen level in pleural fluid of patients with non-malignant pleural effusion", Respirology, 8, pp.487~491 (2003)
  24. Hackner K, "Ratio of carcinoembryonic antigen in pleural fluid and serum for the diagnosis of malignant pleural effusion", Ther Adv Med Oncol, 11, pp.1758835919850341~ (2019)
  25. Wang XF, "CEA, AFP, CA125, CA153 and CA199 in malignant pleural effusions predict the cause", Asian Pac J Cancer Prev, 15, pp.363~368 (2014)

관련 논문AI추천

Association between Elevated Pleural Interleukin-33 Levels and Tuberculous Pleurisy곽성애, 김학렬, 박도심, 박석돈, 이경순, 이미경, 이영진, 이재훈, 조지현, 최금하대한진단검사의학회 · Annals of Laboratory Medicine2013 · 제33권 제1호ADA Levels in Body Fluids as the Preferred Test to Rule Out Tuberculosis in Limited-resource Settings: Data from a Tertiary Care Hospital in Northern IndiaGowhar Rashid, Rafia Rasool, Shafat Ahmad Mir, Syed Mudassar, Tahseen Bilal Rather대한임상검사과학회 · 대한임상검사과학회지2022 · 제54권 제3호Diagnostic Value and Prognostic Significance of Pleural C-Reactive Protein in Lung Cancer Patients with Malignant Pleural Effusions박철, 김병윤, 김학렬, 박도심, 박성훈, 설창환, 정은택, 조경화, 황기은, 황유리연세대학교의과대학 · Yonsei Medical Journal2013 · 제54권 제2호결핵성 흉막염으로 오인된 악성중피종김용희, 박소정, 송민주, 양지영, 유정완, 천재경, 최창민영남대학교 의과대학 · Journal of Yeungnam Medical Science2015 · 제32권 제1호Factors predictive of the failure of medical treatment in patients with pleural infection강철웅, 김성경, 김치홍, 송소향, 조규도, 조덕곤대한내과학회 · The Korean Journal of Internal Medicine2014 · 제29권 제5호Identification of 10 Candidate Biomarkers Distinguishing Tuberculous and Malignant Pleural Fluid by Proteomic Methods서인범, 이명구, 이창률, 홍지영연세대학교의과대학 · Yonsei Medical Journal2017 · 제58권 제6호

이 간행물의 다른 논문 (27건)