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Diagnostic Accuracy with Total Adenosine Deaminase as a Biomarker for Discriminating Pleural Transudates and Exudates in a Population-Based Cohort Study

BACKGROUND: An initial step in the evaluation of patients with pleural effusion syndrome (PES) is to determine whether the pleural fluid is a transudate or an exudate. OBJECTIVES: To investigate total adenosine deaminase (ADA) as a biomarker to classify pleural transudates and exudates. METHODS: An...

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Detalles Bibliográficos
Autores principales: Maranhão, Bernardo Henrique Ferraz, da Silva Junior, Cyro Teixeira, Barillo, Jorge Luiz, de Castro, Carmem Lucia Teixeira, de Souza, Joeber Bernardo Soares, Silva, Patricia Siqueira, Stirbulov, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055387/
https://www.ncbi.nlm.nih.gov/pubmed/33936323
http://dx.doi.org/10.1155/2021/6648535
Descripción
Sumario:BACKGROUND: An initial step in the evaluation of patients with pleural effusion syndrome (PES) is to determine whether the pleural fluid is a transudate or an exudate. OBJECTIVES: To investigate total adenosine deaminase (ADA) as a biomarker to classify pleural transudates and exudates. METHODS: An assay of total ADA in pleural fluids (P-ADA) was observed using a commercial kit in a population-based cohort study. RESULTS: 157 pleural fluid samples were collected from untreated individuals with PES due to several causes. The cause most prevalent in transudate samples (21%, n = 33/157) was congestive heart failure (79%, 26/33) and that among exudate samples (71%, n = 124/157) was tuberculosis (28.0%, 44/124). There was no significant difference in the proportion of either sex between the transudate and exudate groups. The median values of P-ADA were significantly different (P < 0.0001) between both total exudates (18.4 U/L; IQR, 9.85-41.4) and exudates without pleural tuberculosis (11.0 U/L; IQR, 7.25-19.75) and transudates (6.85; IQR, 2.67-11.26). For exudates, the AUC was 0.820 (95% CI, 0.751-0.877; P < 0.001), with excellent discrimination. The optimum cut-off point in the ROC curve was determined as the level that provided the maximum positive likelihood ratio (PLR; 14.64; 95% CI, 2.11-101.9) and was22.0 U/L. For transudates, the AUC was 0.8245 (95% CI, 0.7470-0.9020; P < 0.0001). Internal validation of the AUC after 1000 resamples was evaluated with a tolerance minor than 2%. The clinical utility was equal to 92% (95% CI, 0.84 to 0.96, P < 0.05). CONCLUSIONS: P-ADA is a useful biomarker for distinguishing pleural exudates from transudates.