BACKGROUND AND OBJECTIVE: Tuberculosis (TB) and cancer are two of the main causes of pleural effusions which frequently share similar clinical features and pleural fluid profiles. This study aimed to identify diagnostic models based on clinical and laboratory variables to differentiate tuberculous from malignant pleural effusions. METHODS: A retrospective study of 403 patients (200 with TB; 203 with cancer) was undertaken. Univariate analysis was used to select the clinical variables relevant to the models composition. Variables beta coefficients were used to define a numerical score which presented a practical use. The performances of the most efficient models were tested in a sample of pleural exudates (64 new cases). RESULTS: Two models are proposed for the diagnosis of effusions associated with each disease. For TB: (i) adenosine deaminase (ADA), globulins and the absence of malignant cells in the pleural fluid; and (ii) ADA, globulins and fluid appearance. For cancer: (i) patient age, fluid appearance, macrophage percentage and presence of atypical cells in the pleural fluid; and (ii) as for (i) excluding atypical cells. Application of the models to the 64 pleural effusions showed accuracy higher than 85% for all models. CONCLUSIONS: The proposed models were effective in suggesting pleural tuberculosis or cancer.
BACKGROUND AND OBJECTIVE:Tuberculosis (TB) and cancer are two of the main causes of pleural effusions which frequently share similar clinical features and pleural fluid profiles. This study aimed to identify diagnostic models based on clinical and laboratory variables to differentiate tuberculous from malignant pleural effusions. METHODS: A retrospective study of 403 patients (200 with TB; 203 with cancer) was undertaken. Univariate analysis was used to select the clinical variables relevant to the models composition. Variables beta coefficients were used to define a numerical score which presented a practical use. The performances of the most efficient models were tested in a sample of pleural exudates (64 new cases). RESULTS: Two models are proposed for the diagnosis of effusions associated with each disease. For TB: (i) adenosine deaminase (ADA), globulins and the absence of malignant cells in the pleural fluid; and (ii) ADA, globulins and fluid appearance. For cancer: (i) patient age, fluid appearance, macrophage percentage and presence of atypical cells in the pleural fluid; and (ii) as for (i) excluding atypical cells. Application of the models to the 64 pleural effusions showed accuracy higher than 85% for all models. CONCLUSIONS: The proposed models were effective in suggesting pleural tuberculosis or cancer.
Authors: Ersin Demirer; Andrew C Miller; Erdogan Kunter; Zafer Kartaloglu; Scott D Barnett; Elamin M Elamin Journal: Lung Date: 2011-11-06 Impact factor: 2.584
Authors: Danillo Lucas Alves Espósito; Valdes Roberto Bollela; Ana Luisa Pereira Feitosa; Benedito Antonio Lopes da Fonseca Journal: Lung Date: 2015-09-25 Impact factor: 2.584
Authors: Renan Jeremias da Silva; Raquel da Silva Corrêa; Isabela Gama Sardella; Ana Carla de Paulo Mulinari; Thiago Thomaz Mafort; Ana Paula Santos; Rogério Rufino; Luciana Silva Rodrigues; Maria Helena Féres Saad Journal: BMC Immunol Date: 2019-10-17 Impact factor: 3.615