Alberto Garcia-Zamalloa, Diego Vicente, Rafael Arnay, Arantzazu Arrospide, Jorge Taboada, Iván Castilla-Rodríguez, Urko Aguirre, Nekane Múgica, Ladislao Aldama, Borja Aguinagalde, Montserrat Jimenez, Edurne Bikuña, Miren Begoña Basauri, Marta Alonso, Emilio Perez-Trallero
OBJECTIVE: To analyze the performance of adenosine deaminase in pleural fluid combined with other parameters routinely measured in clinical practice and assisted by machine learning algorithms for the diagnosis of pleural tuberculosis in a low prevalence setting, and secondly, to identify effusions that are non-tuberculous and most likely malignant. PATIENTS AND METHODS: We prospectively analyzed 230 consecutive patients diagnosed with lymphocytic exudative pleural effusion from March 2013 to June 2020...
2021: PloS One