The clinical and molecular diagnosis of childhood and adolescent pulmonary tuberculosis in referral centers

• Autor(a) principal: Aurilio,Rafaela Baroni
• Data de Publicação: 2020
• Outros Autores: Luiz,Ronir Raggio, Land,Marcelo Gerardin Poirot, Cardoso,Claudete Aparecida Araújo, Kritski,Afrânio Lineu, Sant’Anna,Clemax Couto
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista da Sociedade Brasileira de Medicina Tropical
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822020000100351
• topic: Tuberculosis; Diagnosis; Polymerase chain reaction

Abstract INTRODUCTION: The diagnostic accuracy of Xpert MTB/RIF (Xpert) in pulmonary tuberculosis (PTB) in children is lower than in adults. In Brazil, the diagnosis of PTB is based on a diagnostic score system (DSS). This study aims to study the role of Xpert in children and adolescents with PTB symptoms. METHODS: A cross-sectional study was conducted in 3 referral centers to TB. Children and adolescents (0-19 years old) whose respiratory samples were submitted to Xpert were included. Statistical analysis (bivariate and logistic regression) to assess the simultaneous influence of TB-related variables on the occurrence of Xpert detectable in TB cases was done. To evaluate the agreement or disagreement between Xpert results with acid-fast bacillus (AFB) and cultures, κ method was used (significancy level of 5%). RESULTS: Eighty-eight patients were included in the study and PTB occurred in 43 patients (49%) and Xpert was detectable in 21 patients (24%). Adolescents and positive culture results were independent predictive variables of Xpert positivity. DSS sensitivity compared with the final diagnosis of TB was 100% (95% CI, 88.1-100%), specificity was 97.2% (95% CI, 85.5-99.9%). The accuracy of the method was 98.5% (95% CI, 91.7-99.9%). CONCLUSIONS: Xpert contributed to diagnosis in 9% of patients with AFB and in culture negative cases. DSS indicated relevance for this diagnostic approach of intrathoracic TB (ITB) in reference centers for presenting data both with high sensitivity and specificity.