Denise Rossato Silva1, Giovanni Sotgiu2, Lia D'Ambrosio3, Giovana Rodrigues Pereira4, Márcia Silva Barbosa5, Natan José Dutra Dias6, Laura Saderi7, Rosella Centis8, Giovanni Battista Migliori9. 1. Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil; Programa de Pós-Graduação em Ciências Pneumológicas da UFRGS, Porto Alegre, Brazil. Electronic address: denise.rossato@terra.com.br. 2. Clinical Epidemiology and Medical Statistics Unit, Department of Biomedical Sciences, University of Sassari, Sassari, Italy. Electronic address: gsotgiu@uniss.it. 3. World Health Organization Collaborating Centre for Tuberculosis and Lung Diseases, Maugeri Care and Research Institute, IRCCS, Tradate, Italy; Public Health Consulting Group, Lugano, Switzerland. Electronic address: liadambrosio59@gmail.com. 4. Programa de Pós-Graduação em Ciências Pneumológicas da UFRGS, Porto Alegre, Brazil; Setor de Tuberculose, Laboratório Municipal de Alvorada, Alvorada, Brazil. Electronic address: gio.pereira.rs@gmail.com. 5. Microbiologia, Faculdade Factum, Porto Alegre, Brazil. Electronic address: marcia.barbosa@factum.edu.br. 6. Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil. Electronic address: natandias39@hotmail.com. 7. Clinical Epidemiology and Medical Statistics Unit, Department of Biomedical Sciences, University of Sassari, Sassari, Italy. Electronic address: lsaderi89@gmail.com. 8. World Health Organization Collaborating Centre for Tuberculosis and Lung Diseases, Maugeri Care and Research Institute, IRCCS, Tradate, Italy. Electronic address: rosella.centis@icsmaugeri.it. 9. World Health Organization Collaborating Centre for Tuberculosis and Lung Diseases, Maugeri Care and Research Institute, IRCCS, Tradate, Italy. Electronic address: giovannibattista.migliori@icsmaugeri.it.
Abstract
BACKGROUND AND OBJECTIVES: As for all tests, the diagnostic performances of Xpert MTB/RIF might be different in settings with different tuberculosis prevalence. Aim of the study is to evaluate the performances of Xpert MTB/RIF to diagnose tuberculosis in Brazil, where 407 culture-confirmed tuberculosis patients were retrospectively enrolled in Rio Grande do Sul, between 2015 and 2016. METHODS: Sensitivity, specificity, positive and negative predictive values of the test were calculated and a logistic regression analysis was performed to assess the role played by explanatory variables in the occurrence of true positive and negative diagnostic results. RESULTS: Sensitivity of Xpert MTB/RIF was 100.0%, specificity 92.8%; positive and negative predictive values were 71.4% and 100.0%, respectively. In the HIV- infected sub-group specificity was 59.3%. In the multivariate logistic regression analysis, true positivity was associated with increasing age (1.0; p-value: 0.02) while true positivity and negativity were negatively associated with alcohol abuse. CONCLUSIONS: Xpert is sensitive and specific in the Brasilian settings.
BACKGROUND AND OBJECTIVES: As for all tests, the diagnostic performances of Xpert MTB/RIF might be different in settings with different tuberculosis prevalence. Aim of the study is to evaluate the performances of Xpert MTB/RIF to diagnose tuberculosis in Brazil, where 407 culture-confirmed tuberculosispatients were retrospectively enrolled in Rio Grande do Sul, between 2015 and 2016. METHODS: Sensitivity, specificity, positive and negative predictive values of the test were calculated and a logistic regression analysis was performed to assess the role played by explanatory variables in the occurrence of true positive and negative diagnostic results. RESULTS: Sensitivity of Xpert MTB/RIF was 100.0%, specificity 92.8%; positive and negative predictive values were 71.4% and 100.0%, respectively. In the HIV- infected sub-group specificity was 59.3%. In the multivariate logistic regression analysis, true positivity was associated with increasing age (1.0; p-value: 0.02) while true positivity and negativity were negatively associated with alcohol abuse. CONCLUSIONS: Xpert is sensitive and specific in the Brasilian settings.
Authors: David J Horne; Mikashmi Kohli; Jerry S Zifodya; Ian Schiller; Nandini Dendukuri; Deanna Tollefson; Samuel G Schumacher; Eleanor A Ochodo; Madhukar Pai; Karen R Steingart Journal: Cochrane Database Syst Rev Date: 2019-06-07
Authors: Cinara Silva Feliciano; Lucas José Bazzo Menon; Livia Maria Pala Anselmo; Anzaan Dippenaar; Robin Mark Warren; Wilson Araújo Silva; Valdes Roberto Bollela Journal: ERJ Open Res Date: 2019-08-05
Authors: María B Arriaga; Gustavo Amorim; Artur T L Queiroz; Moreno M S Rodrigues; Mariana Araújo-Pereira; Betania M F Nogueira; Alexandra Brito Souza; Michael S Rocha; Aline Benjamin; Adriana S R Moreira; Jamile G de Oliveira; Marina C Figueiredo; Megan M Turner; Kleydson Alves; Betina Durovni; José R Lapa-E-Silva; Afrânio L Kritski; Solange Cavalcante; Valeria C Rolla; Marcelo Cordeiro-Santos; Timothy R Sterling; Bruno B Andrade Journal: Int J Infect Dis Date: 2020-11-14 Impact factor: 3.623