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Use of Xpert MTB/RIF in Decentralized Public Health Settings and Its Effect on Pulmonary TB and DR-TB Case Finding in India

BACKGROUND: Xpert MTB/RIF, the first automated molecular test for tuberculosis, is transforming the diagnostic landscape in high-burden settings. This study assessed the impact of up-front Xpert MTB/RIF testing on detection of pulmonary tuberculosis (PTB) and rifampicin-resistant PTB (DR-TB) cases i...

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Autores principales: Sachdeva, Kuldeep Singh, Raizada, Neeraj, Sreenivas, Achuthan, van't Hoog, Anna H., van den Hof, Susan, Dewan, Puneet K., Thakur, Rahul, Gupta, R. S., Kulsange, Shubhangi, Vadera, Bhavin, Babre, Ameet, Gray, Christen, Parmar, Malik, Ghedia, Mayank, Ramachandran, Ranjani, Alavadi, Umesh, Arinaminpathy, Nimalan, Denkinger, Claudia, Boehme, Catharina, Paramasivan, C. N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4440647/
https://www.ncbi.nlm.nih.gov/pubmed/25996389
http://dx.doi.org/10.1371/journal.pone.0126065
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author Sachdeva, Kuldeep Singh
Raizada, Neeraj
Sreenivas, Achuthan
van't Hoog, Anna H.
van den Hof, Susan
Dewan, Puneet K.
Thakur, Rahul
Gupta, R. S.
Kulsange, Shubhangi
Vadera, Bhavin
Babre, Ameet
Gray, Christen
Parmar, Malik
Ghedia, Mayank
Ramachandran, Ranjani
Alavadi, Umesh
Arinaminpathy, Nimalan
Denkinger, Claudia
Boehme, Catharina
Paramasivan, C. N.
author_facet Sachdeva, Kuldeep Singh
Raizada, Neeraj
Sreenivas, Achuthan
van't Hoog, Anna H.
van den Hof, Susan
Dewan, Puneet K.
Thakur, Rahul
Gupta, R. S.
Kulsange, Shubhangi
Vadera, Bhavin
Babre, Ameet
Gray, Christen
Parmar, Malik
Ghedia, Mayank
Ramachandran, Ranjani
Alavadi, Umesh
Arinaminpathy, Nimalan
Denkinger, Claudia
Boehme, Catharina
Paramasivan, C. N.
author_sort Sachdeva, Kuldeep Singh
collection PubMed
description BACKGROUND: Xpert MTB/RIF, the first automated molecular test for tuberculosis, is transforming the diagnostic landscape in high-burden settings. This study assessed the impact of up-front Xpert MTB/RIF testing on detection of pulmonary tuberculosis (PTB) and rifampicin-resistant PTB (DR-TB) cases in India. METHODS: This demonstration study was implemented in 18 sub-district level TB programme units (TUs) in India in diverse geographic and demographic settings covering a population of 8.8 million. A baseline phase in 14 TUs captured programmatic baseline data, and an intervention phase in 18 TUs had Xpert MTB/RIF offered to all presumptive TB patients. We estimated changes in detection of TB and DR-TB, the former using binomial regression models to adjust for clustering and covariates. RESULTS: In the 14 study TUs, which participated in both phases, 10,675 and 70,556 presumptive TB patients were enrolled in the baseline and intervention phase, respectively, and 1,532 (14.4%) and 14,299 (20.3%) bacteriologically confirmed PTB cases were detected. The implementation of Xpert MTB/RIF was associated with increases in both notification rates of bacteriologically confirmed TB cases (adjusted incidence rate ratio [aIRR] 1.39; CI 1.18-1.64), and proportion of bacteriological confirmed TB cases among presumptive TB cases (adjusted risk ratio (aRR) 1.33; CI 1.6-1.52). Compared with the baseline strategy of selective drug-susceptibility testing only for PTB cases at high risk of drug-resistant TB, Xpert MTB/RIF implementation increased rifampicin resistant TB case detection by over fivefold. Among, 2765 rifampicin resistance cases detected, 1055 were retested with conventional drug susceptibility testing (DST). Positive predictive value (PPV) of rifampicin resistance detected by Xpert MTB/RIF was 94.7% (CI 91.3-98.1), in comparison to conventional DST. CONCLUSION: Introduction of Xpert MTB/RIF as initial diagnostic test for TB in public health facilities significantly increased case-notification rates of all bacteriologically confirmed TB by 39% and rifampicin-resistant TB case notification by fivefold.
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spelling pubmed-44406472015-05-29 Use of Xpert MTB/RIF in Decentralized Public Health Settings and Its Effect on Pulmonary TB and DR-TB Case Finding in India Sachdeva, Kuldeep Singh Raizada, Neeraj Sreenivas, Achuthan van't Hoog, Anna H. van den Hof, Susan Dewan, Puneet K. Thakur, Rahul Gupta, R. S. Kulsange, Shubhangi Vadera, Bhavin Babre, Ameet Gray, Christen Parmar, Malik Ghedia, Mayank Ramachandran, Ranjani Alavadi, Umesh Arinaminpathy, Nimalan Denkinger, Claudia Boehme, Catharina Paramasivan, C. N. PLoS One Research Article BACKGROUND: Xpert MTB/RIF, the first automated molecular test for tuberculosis, is transforming the diagnostic landscape in high-burden settings. This study assessed the impact of up-front Xpert MTB/RIF testing on detection of pulmonary tuberculosis (PTB) and rifampicin-resistant PTB (DR-TB) cases in India. METHODS: This demonstration study was implemented in 18 sub-district level TB programme units (TUs) in India in diverse geographic and demographic settings covering a population of 8.8 million. A baseline phase in 14 TUs captured programmatic baseline data, and an intervention phase in 18 TUs had Xpert MTB/RIF offered to all presumptive TB patients. We estimated changes in detection of TB and DR-TB, the former using binomial regression models to adjust for clustering and covariates. RESULTS: In the 14 study TUs, which participated in both phases, 10,675 and 70,556 presumptive TB patients were enrolled in the baseline and intervention phase, respectively, and 1,532 (14.4%) and 14,299 (20.3%) bacteriologically confirmed PTB cases were detected. The implementation of Xpert MTB/RIF was associated with increases in both notification rates of bacteriologically confirmed TB cases (adjusted incidence rate ratio [aIRR] 1.39; CI 1.18-1.64), and proportion of bacteriological confirmed TB cases among presumptive TB cases (adjusted risk ratio (aRR) 1.33; CI 1.6-1.52). Compared with the baseline strategy of selective drug-susceptibility testing only for PTB cases at high risk of drug-resistant TB, Xpert MTB/RIF implementation increased rifampicin resistant TB case detection by over fivefold. Among, 2765 rifampicin resistance cases detected, 1055 were retested with conventional drug susceptibility testing (DST). Positive predictive value (PPV) of rifampicin resistance detected by Xpert MTB/RIF was 94.7% (CI 91.3-98.1), in comparison to conventional DST. CONCLUSION: Introduction of Xpert MTB/RIF as initial diagnostic test for TB in public health facilities significantly increased case-notification rates of all bacteriologically confirmed TB by 39% and rifampicin-resistant TB case notification by fivefold. Public Library of Science 2015-05-21 /pmc/articles/PMC4440647/ /pubmed/25996389 http://dx.doi.org/10.1371/journal.pone.0126065 Text en © 2015 Sachdeva et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Sachdeva, Kuldeep Singh
Raizada, Neeraj
Sreenivas, Achuthan
van't Hoog, Anna H.
van den Hof, Susan
Dewan, Puneet K.
Thakur, Rahul
Gupta, R. S.
Kulsange, Shubhangi
Vadera, Bhavin
Babre, Ameet
Gray, Christen
Parmar, Malik
Ghedia, Mayank
Ramachandran, Ranjani
Alavadi, Umesh
Arinaminpathy, Nimalan
Denkinger, Claudia
Boehme, Catharina
Paramasivan, C. N.
Use of Xpert MTB/RIF in Decentralized Public Health Settings and Its Effect on Pulmonary TB and DR-TB Case Finding in India
title Use of Xpert MTB/RIF in Decentralized Public Health Settings and Its Effect on Pulmonary TB and DR-TB Case Finding in India
title_full Use of Xpert MTB/RIF in Decentralized Public Health Settings and Its Effect on Pulmonary TB and DR-TB Case Finding in India
title_fullStr Use of Xpert MTB/RIF in Decentralized Public Health Settings and Its Effect on Pulmonary TB and DR-TB Case Finding in India
title_full_unstemmed Use of Xpert MTB/RIF in Decentralized Public Health Settings and Its Effect on Pulmonary TB and DR-TB Case Finding in India
title_short Use of Xpert MTB/RIF in Decentralized Public Health Settings and Its Effect on Pulmonary TB and DR-TB Case Finding in India
title_sort use of xpert mtb/rif in decentralized public health settings and its effect on pulmonary tb and dr-tb case finding in india
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4440647/
https://www.ncbi.nlm.nih.gov/pubmed/25996389
http://dx.doi.org/10.1371/journal.pone.0126065
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