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Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing?

BACKGROUND: As per national policy, all diagnosed tuberculosis patients in India are to be tested using Xpert(®) MTB/RIF assay at the district level to diagnose rifampicin resistance. Regardless of the result, samples are transported to the reference laboratories for further testing: first-line Line...

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Autores principales: Shankar S., Uma, Kumar, Ajay M. V., Venkateshmurthy, Nikhil Srinivasapura, Nair, Divya, Kingsbury, Reena, R., Padmesha, Velu, Magesh, P., Suganthi, Gupta, Joydev, Ahmed, Jameel, G., Puttaswamy, Hiremath, Somashekarayya, Jaiswal, Ravi K., Kokkad, Rony Jose, N., Somashekar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787455/
https://www.ncbi.nlm.nih.gov/pubmed/33406153
http://dx.doi.org/10.1371/journal.pone.0244785
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author Shankar S., Uma
Kumar, Ajay M. V.
Venkateshmurthy, Nikhil Srinivasapura
Nair, Divya
Kingsbury, Reena
R., Padmesha
Velu, Magesh
P., Suganthi
Gupta, Joydev
Ahmed, Jameel
G., Puttaswamy
Hiremath, Somashekarayya
Jaiswal, Ravi K.
Kokkad, Rony Jose
N., Somashekar
author_facet Shankar S., Uma
Kumar, Ajay M. V.
Venkateshmurthy, Nikhil Srinivasapura
Nair, Divya
Kingsbury, Reena
R., Padmesha
Velu, Magesh
P., Suganthi
Gupta, Joydev
Ahmed, Jameel
G., Puttaswamy
Hiremath, Somashekarayya
Jaiswal, Ravi K.
Kokkad, Rony Jose
N., Somashekar
author_sort Shankar S., Uma
collection PubMed
description BACKGROUND: As per national policy, all diagnosed tuberculosis patients in India are to be tested using Xpert(®) MTB/RIF assay at the district level to diagnose rifampicin resistance. Regardless of the result, samples are transported to the reference laboratories for further testing: first-line Line Probe Assay (FL-LPA) for rifampicin-sensitive samples and second-line LPA(SL-LPA) for rifampicin-resistant samples. Based on the results, samples undergo culture and phenotypic drug susceptibility testing. We assessed among patients diagnosed with tuberculosis at 13 selected Xpert laboratories of Karnataka state, India, i) the proportion whose samples reached the reference laboratories and among them, proportion who completed the diagnostic algorithm ii) factors associated with non-reaching and non-completion and iii) the delays involved. METHODS: This was a cohort study involving review of programme records. For each TB patient diagnosed between 1(st) July and 31(st) August 2018 at the Xpert laboratory, we tracked the laboratory register at the linked reference laboratory until 30(th) September (censor date) using Nikshay ID (a unique patient identifier), phone number, name, age and sex. RESULTS: Of 1660 TB patients, 1208(73%) samples reached the reference laboratories and among those reached, 1124(93%) completed the algorithm. Of 1590 rifampicin-sensitive samples, 1170(74%) reached and 1104(94%) completed the algorithm. Of 64 rifampicin-resistant samples, only 35(55%) reached and 17(49%) completed the algorithm. Samples from rifampicin-resistant TB, extra-pulmonary TB and two districts were less likely to reach the reference laboratory. Non-completion was more likely among rifampicin-resistant TB and sputum-negative samples. The median time for conducting and reporting results of Xpert® MTB/RIF was one day, of FL-LPA 5 days and of SL-LPA16 days. CONCLUSION: These findings are encouraging given the complexity of the algorithm. High non-reaching and non-completion rates in rifampicin-resistant patients is a major concern. Future research should focus on understanding the reasons for the gaps identified using qualitative research methods.
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spelling pubmed-77874552021-01-14 Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing? Shankar S., Uma Kumar, Ajay M. V. Venkateshmurthy, Nikhil Srinivasapura Nair, Divya Kingsbury, Reena R., Padmesha Velu, Magesh P., Suganthi Gupta, Joydev Ahmed, Jameel G., Puttaswamy Hiremath, Somashekarayya Jaiswal, Ravi K. Kokkad, Rony Jose N., Somashekar PLoS One Research Article BACKGROUND: As per national policy, all diagnosed tuberculosis patients in India are to be tested using Xpert(®) MTB/RIF assay at the district level to diagnose rifampicin resistance. Regardless of the result, samples are transported to the reference laboratories for further testing: first-line Line Probe Assay (FL-LPA) for rifampicin-sensitive samples and second-line LPA(SL-LPA) for rifampicin-resistant samples. Based on the results, samples undergo culture and phenotypic drug susceptibility testing. We assessed among patients diagnosed with tuberculosis at 13 selected Xpert laboratories of Karnataka state, India, i) the proportion whose samples reached the reference laboratories and among them, proportion who completed the diagnostic algorithm ii) factors associated with non-reaching and non-completion and iii) the delays involved. METHODS: This was a cohort study involving review of programme records. For each TB patient diagnosed between 1(st) July and 31(st) August 2018 at the Xpert laboratory, we tracked the laboratory register at the linked reference laboratory until 30(th) September (censor date) using Nikshay ID (a unique patient identifier), phone number, name, age and sex. RESULTS: Of 1660 TB patients, 1208(73%) samples reached the reference laboratories and among those reached, 1124(93%) completed the algorithm. Of 1590 rifampicin-sensitive samples, 1170(74%) reached and 1104(94%) completed the algorithm. Of 64 rifampicin-resistant samples, only 35(55%) reached and 17(49%) completed the algorithm. Samples from rifampicin-resistant TB, extra-pulmonary TB and two districts were less likely to reach the reference laboratory. Non-completion was more likely among rifampicin-resistant TB and sputum-negative samples. The median time for conducting and reporting results of Xpert® MTB/RIF was one day, of FL-LPA 5 days and of SL-LPA16 days. CONCLUSION: These findings are encouraging given the complexity of the algorithm. High non-reaching and non-completion rates in rifampicin-resistant patients is a major concern. Future research should focus on understanding the reasons for the gaps identified using qualitative research methods. Public Library of Science 2021-01-06 /pmc/articles/PMC7787455/ /pubmed/33406153 http://dx.doi.org/10.1371/journal.pone.0244785 Text en © 2021 Shankar S. 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Shankar S., Uma
Kumar, Ajay M. V.
Venkateshmurthy, Nikhil Srinivasapura
Nair, Divya
Kingsbury, Reena
R., Padmesha
Velu, Magesh
P., Suganthi
Gupta, Joydev
Ahmed, Jameel
G., Puttaswamy
Hiremath, Somashekarayya
Jaiswal, Ravi K.
Kokkad, Rony Jose
N., Somashekar
Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing?
title Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing?
title_full Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing?
title_fullStr Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing?
title_full_unstemmed Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing?
title_short Implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in Karnataka State, India: How well are we doing?
title_sort implementation of the new integrated algorithm for diagnosis of drug-resistant tuberculosis in karnataka state, india: how well are we doing?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787455/
https://www.ncbi.nlm.nih.gov/pubmed/33406153
http://dx.doi.org/10.1371/journal.pone.0244785
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